How to call models
Use yourAISA_API_KEY as a Bearer token. For OpenAI-compatible SDKs, set the base URL to https://api.aisa.one/v1.
from openai import OpenAI
client = OpenAI(
api_key="YOUR_AISA_API_KEY",
base_url="https://api.aisa.one/v1"
)
response = client.chat.completions.create(
model="qwen3.7-max",
messages=[{"role": "user", "content": "Compare these model options for a coding agent."}]
)
print(response.choices[0].message.content)
Endpoint types
| Endpoint | Current model count |
|---|---|
POST /v1/chat/completions | 95 |
POST /v1/messages | 85 |
POST /v1/responses | 72 |
POST /v1/video/generations | 8 |
POST /v1/images/generations | 4 |
POST /v1/images/edits | 3 |
POST /v1/embeddings | 2 |
POST /v1beta/models/{model}:generateContent | 2 |
chat/completions and Anthropic-compatible messages, so the same model ID works from either SDK. POST /v1/responses is now served by most text models — the table above counts the routes reported by the live gateway pricing feed on August 5, 2026. Calling a model on a route it does not serve returns 400 model_route_not_supported with the supported routes listed, so probe before switching protocols. Gemini models additionally expose generateContent. Image models use images/generations and images/edits. Video models are asynchronous: submit the job to POST /v1/video/generations, then poll /v1/video/generations/{task_id} for the result. Embedding models use /v1/embeddings. Always pass the exact model string shown below.
Capability vocabulary
| Capability | What it means in AIsa Model Gateway |
|---|---|
| Text | Natural-language generation, summarization, analysis, translation, and long-context reasoning. |
| Coding | Code reasoning, code completion, software-agent planning, and tool-use workflows. |
| Vision | Image/document understanding, visual coding, and spatial reasoning over visual inputs. |
| Audio | Audio understanding or speech-to-speech style interaction where supported by the upstream model. |
| Image | Image generation, image editing, image consistency, or rendering text in images. |
| Video | Video understanding, temporal reasoning, long-video work, image-to-video, or omni/video workflows. |
Provider summary
| Provider | Models | Types | Example model IDs |
|---|---|---|---|
| OpenAI | 27 | Image, Text | gpt-4.1-mini, gpt-4o, gpt-4o-mini, gpt-5-chat-latest … |
| Anthropic | 12 | Text | claude-fable-5, claude-haiku-4-5-20251001, claude-opus-4-1-20250805, claude-opus-4-5-20251101 … |
| Google Gemini | 2 | Text | gemini-3-pro-preview, gemini-3.5-flash |
| xAI | 5 | Text | grok-4.20-0309-non-reasoning, grok-4.20-0309-reasoning, grok-4.3, grok-4.5 … |
| DeepSeek | 7 | Text | deepseek-r1, deepseek-v3, deepseek-v3.1, deepseek-v3.2 … |
| Alibaba | 24 | Image, Text, Video | qwen-flash, qwen-mt-flash, qwen-mt-lite, qwen-plus-2025-12-01 … |
| Moonshot | 5 | Text | kimi-k2-thinking, kimi-k2.5, kimi-k2.6, kimi-k2.7-code … |
| MiniMax | 2 | Text | MiniMax-M2.5, MiniMax-M3 |
| Zhipu GLM | 4 | Text | glm-5, glm-5.1, glm-5.2 … |
| ByteDance | 10 | Image, Text, Video | seed-1-6-250915, seed-1-6-flash-250715, seed-1-8-251228, seed-2-0-lite-260228 … |
| Xiaomi | 2 | Text | mimo-v2.5, mimo-v2.5-pro |
| StepFun | 3 | Text | step-3.5-flash, step-3.5-flash-2603, step-3.7-flash |
| HappyHorse | 3 | Video | happyhorse-1.1-i2v, happyhorse-1.1-r2v, happyhorse-1.1-t2v |
| Other | 2 | Embeddings | text-embedding-3-large, text-embedding-3-small |
Complete model details
Context windows and capability tags come from the last Model Gateway metadata export. Models added since then show— for context and only their base type in Capabilities — check aisa.one/models for their current limits and capability tags.
OpenAI
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
gpt-4.1-mini | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.4211 in / $1.6842 out per 1M tokens (cache read $0.1053/M) |
gpt-4o | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $2.6316 in / $10.5263 out per 1M tokens (cache read $1.3158/M) |
gpt-4o-mini | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1579 in / $0.6316 out per 1M tokens (cache read $0.0789/M) |
gpt-5-chat-latest | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5-nano | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.0526 in / $0.4211 out per 1M tokens (cache read $0.0053/M) |
gpt-5-pro | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $15.7895 in / $126.3158 out per 1M tokens |
gpt-5-search-api | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5.1 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5.1-chat-latest | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5.1-codex | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5.1-codex-max | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.3158 in / $10.5263 out per 1M tokens (cache read $0.1316/M) |
gpt-5.2 | 400,000 | Coding, Text, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $1.8421 in / $14.7368 out per 1M tokens (cache read $0.1842/M) |
gpt-5.2-chat-latest | 400,000 | Coding, Text, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $1.8421 in / $14.7368 out per 1M tokens (cache read $0.1842/M) |
gpt-5.2-codex | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.8421 in / $14.7368 out per 1M tokens (cache read $0.1842/M) |
gpt-5.2-pro | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $22.1053 in / $176.8421 out per 1M tokens |
gpt-5.3-chat-latest | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.8421 in / $14.7368 out per 1M tokens (cache read $0.1842/M) |
gpt-5.3-codex | 1,000,000 | Coding, Text; reasoning, long context, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $1.8421 in / $14.7368 out per 1M tokens (cache read $0.1842/M) |
gpt-5.4 | 1,050,000 | Coding, Text, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $2.6316 in / $15.7895 out per 1M tokens (cache read $0.2632/M) |
gpt-5.4-mini | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.7895 in / $4.7368 out per 1M tokens (cache read $0.0789/M) |
gpt-5.4-nano | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.2105 in / $1.3158 out per 1M tokens (cache read $0.0211/M) |
gpt-5.4-pro | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $31.5789 in / $189.4737 out per 1M tokens |
gpt-5.5 | 400,000 | Coding, Text, Vision; code reasoning, long context, reasoning, vision | /v1/chat/completions, /v1/messages, /v1/responses | $5.2632 in / $40.0000 out per 1M tokens (cache read $0.5263/M) |
gpt-5.5-pro | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $31.5789 in / $189.4737 out per 1M tokens |
gpt-5.6-luna | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.2105 in / $1.2632 out per 1M tokens (cache read $0.0211/M; cache write $0.2500/M) |
gpt-5.6-sol | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $5.2632 in / $31.5789 out per 1M tokens (cache read $0.5263/M; cache write $6.2500/M) |
gpt-5.6-terra | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $2.1053 in / $12.6316 out per 1M tokens (cache read $0.2105/M; cache write $2.5000/M) |
gpt-image-2 | N/A | Image, Vision; image editing, image generation, text in images, vision | /v1/images/generations, /v1/images/edits | $8.4211 in / $31.5789 out per 1M tokens (cache write $2.0000/M); $0.03 / request; $0.05 / image (1024x1024) |
Anthropic
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
claude-fable-5 | — | Text | /v1/chat/completions, /v1/messages | $10.5263 in / $52.6316 out per 1M tokens (cache read $1.0526/M; cache write $12.5000/M) |
claude-haiku-4-5-20251001 | 200,000 | Coding, Text, Vision; reasoning, long context, spatial vision, document vision, visual coding, code reasoning, agentic coding | /v1/chat/completions, /v1/messages | $1.0526 in / $5.2632 out per 1M tokens (cache read $0.1053/M; cache write $2.0000/M) |
claude-opus-4-1-20250805 | 200,000 | Coding, Text, Vision; reasoning, long context, document vision, visual coding, code reasoning, agentic coding | /v1/chat/completions, /v1/messages | $15.7895 in / $78.9474 out per 1M tokens (cache read $1.5789/M; cache write $30.0000/M) |
claude-opus-4-5-20251101 | 1,000,000 | Coding, Text, Vision; reasoning, long context, creative writing, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages | $5.2632 in / $26.3158 out per 1M tokens (cache read $0.5263/M; cache write $10.0000/M) |
claude-opus-4-6 | 1,000,000 | Coding, Text, Vision; reasoning, long context, creative writing, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages | $5.2632 in / $26.3158 out per 1M tokens (cache read $0.5263/M; cache write $10.0000/M) |
claude-opus-4-7 | 1,000,000 | Coding, Text, Vision; reasoning, long context, creative writing, spatial vision, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $5.2632 in / $26.3158 out per 1M tokens (cache read $0.5263/M; cache write $10.0000/M) |
claude-opus-4-8 | 1,000,000 | Coding, Text, Vision; reasoning, long context, creative writing, spatial vision, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages | $5.2632 in / $26.3158 out per 1M tokens (cache read $0.5263/M; cache write $10.0000/M) |
claude-opus-5 | — | Text | /v1/chat/completions, /v1/messages | $5.2632 in / $26.3158 out per 1M tokens (cache read $0.5263/M; cache write $10.0000/M) |
claude-sonnet-4-5-20250929 | 200,000 | Coding, Text, Vision; reasoning, long context, creative writing, spatial vision, document vision, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages | $3.1579 in / $15.7895 out per 1M tokens (cache read $0.3158/M; cache write $6.0000/M) |
claude-sonnet-4-6 | — | Text | /v1/chat/completions, /v1/messages | $3.1579 in / $15.7895 out per 1M tokens (cache read $0.3158/M; cache write $6.0000/M) |
claude-sonnet-4-6-thinking | — | Text | /v1/chat/completions, /v1/messages | $3.1579 in / $15.7895 out per 1M tokens (cache read $0.3158/M; cache write $6.0000/M) |
claude-sonnet-5 | — | Text | /v1/chat/completions, /v1/messages | $2.1053 in / $10.5263 out per 1M tokens (cache read $0.2105/M; cache write $2.5000/M) |
Google Gemini
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
gemini-3-pro-preview | N/A | Text; long context, creative writing | /v1/chat/completions, /v1beta/models/{model}:generateContent | $2.1053 in / $12.6316 out per 1M tokens |
gemini-3.5-flash | N/A | Text; long context, creative writing | /v1/chat/completions, /v1beta/models/{model}:generateContent | $1.5789 in / $9.4737 out per 1M tokens (cache read $0.1579/M) |
xAI
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
grok-4.20-0309-non-reasoning | 1,000,000 | Text, Vision; long context, creative writing, spatial vision, document vision | /v1/chat/completions | $1.3158 in / $2.6316 out per 1M tokens |
grok-4.20-0309-reasoning | 1,000,000 | Text, Vision; reasoning, long context, creative writing, spatial vision, document vision | /v1/chat/completions | $1.3158 in / $2.6316 out per 1M tokens |
grok-4.3 | 1,000,000 | Text, Vision; reasoning, long context, creative writing, spatial vision, document vision | /v1/chat/completions | $1.3158 in / $2.6316 out per 1M tokens |
grok-4.5 | — | Text | /v1/chat/completions | $2.1053 in / $6.3158 out per 1M tokens (cache write $0.5000/M) |
grok-build-0.1 | 256,000 | Coding, Text, Vision; reasoning, long context, visual coding, code reasoning, code completion, agentic coding | /v1/chat/completions | $1.0526 in / $2.1053 out per 1M tokens |
DeepSeek
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
deepseek-r1 | 262,144 | Coding, Text; code reasoning, long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.4229 in / $1.6903 out per 1M tokens (cache read $0.4229/M) |
deepseek-v3 | 262,144 | Coding, Text; code reasoning, long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.2115 in / $0.8452 out per 1M tokens (cache read $0.2115/M) |
deepseek-v3.1 | 262,144 | Coding, Text; code reasoning, long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.4229 in / $1.2681 out per 1M tokens (cache read $0.4229/M) |
deepseek-v3.2 | 128,000 | Coding, Text; reasoning, long context, creative writing, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2115 in / $0.3176 out per 1M tokens (cache read $0.2115/M) |
deepseek-v4-flash | 262,144 | Coding, Text; code reasoning, long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.1032 in / $0.2063 out per 1M tokens (cache read $0.0021/M) |
deepseek-v4-flash-0731 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1380 in / $0.2750 out per 1M tokens (cache write $0.0280/M) |
deepseek-v4-pro | 262,144 | Coding, Text; code reasoning, long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.3205 in / $0.6411 out per 1M tokens (cache read $0.0027/M) |
Alibaba
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
qwen-flash | 1,000,000 | Audio, Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, speech-to-speech, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.0154 in / $0.1512 out per 1M tokens (cache read $0.0035/M) |
qwen-mt-flash | 1,000,000 | Text; long context, translation | /v1/chat/completions, /v1/messages, /v1/responses | $0.0720 in / $0.2205 out per 1M tokens (cache read $0.0720/M) |
qwen-mt-lite | 1,000,000 | Text; translation | /v1/chat/completions, /v1/messages, /v1/responses | $0.0840 in / $0.2520 out per 1M tokens (cache read $0.0840/M) |
qwen-plus-2025-12-01 | 1,000,000 | Audio, Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, speech-to-speech, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions | $0.2800 in / $0.8400 out per 1M tokens (cache read $0.2800/M) |
qwen3-coder-480b-a35b-instruct | 262,144 | Coding, Text; reasoning, long context, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $1.0500 in / $5.2500 out per 1M tokens (cache read $1.0500/M) |
qwen3-coder-flash | 1,000,000 | Coding, Text; reasoning, long context, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2100 in / $1.0500 out per 1M tokens (cache read $0.2100/M) |
qwen3-coder-plus | 1,000,000 | Coding, Text; reasoning, long context, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.7000 in / $3.5000 out per 1M tokens (cache read $0.7000/M) |
qwen3-max | 262,144 | Audio, Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, speech-to-speech, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.7200 in / $3.6000 out per 1M tokens (cache read $0.7200/M) |
qwen3-vl-flash | 131,072 | Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.0350 in / $0.2800 out per 1M tokens (cache read $0.0350/M) |
qwen3-vl-flash-2025-10-15 | 131,072 | Coding, Text, Video, Vision; reasoning, long context, translation, spatial vision, document vision, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.0350 in / $0.2800 out per 1M tokens (cache read $0.0350/M) |
qwen3-vl-plus | 131,072 | Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.1400 in / $1.1200 out per 1M tokens (cache read $0.1400/M) |
qwen3.6-plus | 1,000,000 | Coding, Text, Video, Vision; reasoning, long context, translation, creative writing, spatial vision, document vision, visual coding, omni/video understanding, long video, temporal video, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2760 in / $1.6510 out per 1M tokens (cache read $0.2760/M) |
qwen3.6-plus-2026-04-02 | 262,144 | Coding, Text, Vision; code reasoning, long context, reasoning, vision | /v1/chat/completions, /v1/messages, /v1/responses | $0.2760 in / $1.6510 out per 1M tokens (cache read $0.2760/M) |
qwen3.7-flash | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1732 in / $0.6930 out per 1M tokens (cache read $0.0347/M; cache write $0.2166/M) |
qwen3.7-flash-2026-07-15 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1732 in / $0.6930 out per 1M tokens (cache read $0.0347/M; cache write $0.2166/M) |
qwen3.7-max | 1,000,000 | Coding, Text; reasoning, long context, translation, creative writing, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $1.1550 in / $3.4657 out per 1M tokens (cache read $0.1155/M; cache write $1.4441/M) |
qwen3.7-max-2026-06-08 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.1550 in / $3.4657 out per 1M tokens (cache read $0.2310/M) |
qwen3.7-plus | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1932 in / $0.7707 out per 1M tokens (cache read $0.0392/M) |
qwen3.8-max | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.7325 in / $5.1986 out per 1M tokens (cache read $0.2163/M; cache write $2.1662/M) |
wan2.7-i2v | — | Video | /v1/video/generations | $0.060208 / output second (720p); $0.100347 / output second (1080p) |
wan2.7-image | N/A | Image, Text, Vision; reasoning, vision, image generation, image editing, text in images, image consistency | /v1/images/generations, /v1/images/edits | $0.03 / request |
wan2.7-image-pro | N/A | Image, Text, Video, Vision; reasoning, long context, vision, image generation, image editing, text in images, image consistency, image-to-video | /v1/images/generations, /v1/images/edits | $0.075 / request |
wan2.7-r2v | — | Video | /v1/video/generations | $0.060208 / output second (720p); $0.100347 / output second (1080p) |
wan2.7-t2v | — | Video | /v1/video/generations | $0.060208 / output second (720p); $0.100347 / output second (1080p) |
Moonshot
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
kimi-k2-thinking | 256,000 | Coding, Text; reasoning, long context, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.4229 in / $1.6903 out per 1M tokens (cache read $0.4229/M) |
kimi-k2.5 | 262,144 | Coding, Text, Video, Vision; reasoning, long context, spatial vision, document vision, visual coding, omni/video understanding, long video, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.4229 in / $2.2186 out per 1M tokens (cache read $0.0847/M) |
kimi-k2.6 | 128,000 | Text; long context, reasoning | /v1/chat/completions, /v1/messages, /v1/responses | $0.6587 in / $2.7360 out per 1M tokens (cache read $0.6587/M) |
kimi-k2.7-code | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.6257 in / $2.5992 out per 1M tokens (cache read $0.1252/M) |
kimi-k3 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $3.1579 in / $15.7895 out per 1M tokens (cache read $0.3158/M) |
MiniMax
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
MiniMax-M2.5 | 262,144 | Coding, Text; reasoning, long context, creative writing, code reasoning, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2211 in / $0.8842 out per 1M tokens (cache read $0.2211/M) |
MiniMax-M3 | 1,000,000 | Coding, Text, Video, Vision; reasoning, long context, code reasoning, agentic coding, vision, long video | /v1/chat/completions, /v1/messages, /v1/responses | $0.2211 in / $0.8842 out per 1M tokens (cache read $0.0526/M) |
Zhipu GLM
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
glm-5 | 128,000 | Coding, Text; reasoning, long context, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.4222 in / $1.9011 out per 1M tokens (cache read $0.4222/M) |
glm-5.1 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.5775 in / $2.3107 out per 1M tokens (cache read $0.1155/M) |
glm-5.2 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.7700 in / $2.6957 out per 1M tokens (cache read $0.1925/M) |
z-ai/glm-5v-turbo | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $1.2000 in / $4.0000 out per 1M tokens (cache read $0.2400/M) |
ByteDance
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
seed-1-6-250915 | 262,144 | Text, Video, Vision; reasoning, long context, creative writing, vision, omni/video understanding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2368 in / $0.9474 out per 1M tokens (cache read $0.2368/M) |
seed-1-6-flash-250715 | 262,144 | Text, Video, Vision; reasoning, long context, spatial vision, omni/video understanding, temporal video | /v1/chat/completions, /v1/messages, /v1/responses | $0.0711 in / $0.2842 out per 1M tokens (cache read $0.0711/M) |
seed-1-8-251228 | 262,144 | Coding, Text, Video, Vision; reasoning, long context, creative writing, spatial vision, document vision, visual coding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2368 in / $1.8947 out per 1M tokens (cache read $0.2368/M) |
seed-2-0-lite-260228 | 262,144 | Coding, Text, Video, Vision; reasoning, long context, creative writing, spatial vision, document vision, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.2632 in / $2.1053 out per 1M tokens (cache read $0.2632/M) |
seed-2-0-mini-260215 | 262,144 | Coding, Text, Video, Vision; reasoning, long context, spatial vision, document vision, omni/video understanding, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions | $0.1053 in / $0.4211 out per 1M tokens (cache read $0.1053/M) |
seed-2-0-pro-260328 | 262,144 | Coding, Text, Video, Vision; reasoning, long context, creative writing, spatial vision, document vision, visual coding, omni/video understanding, long video, temporal video, code reasoning, code completion, agentic coding | /v1/chat/completions, /v1/messages, /v1/responses | $0.5263 in / $3.1579 out per 1M tokens (cache read $0.5263/M) |
dreamina-seedance-2-0-260128 | — | Video | /v1/video/generations | $4.3 / 1M tokens (480p, 720p, 4k); $4.7 / 1M tokens (1080p) |
dreamina-seedance-2-0-fast-260128 | — | Video | /v1/video/generations | $3.3 / 1M tokens (480p, 720p) |
seedream-4-5-251128 | N/A | Image, Vision; vision, image generation, image editing, text in images, image consistency | /v1/chat/completions | $0.036 / request |
seedream-5-0-260128 | 262,144 | Image, Vision; image editing, image generation, text in images, vision | /v1/images/generations | $0.035 / request |
Xiaomi
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
mimo-v2.5 | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.1505 in / $0.3011 out per 1M tokens (cache read $0.0031/M) |
mimo-v2.5-pro | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.5158 in / $0.9021 out per 1M tokens (cache read $0.0038/M) |
StepFun
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
step-3.5-flash | — | Text | /v1/chat/completions, /v1/messages | $0.1053 in / $0.3158 out per 1M tokens (cache read $0.0211/M) |
step-3.5-flash-2603 | — | Text | /v1/chat/completions, /v1/messages | $0.1053 in / $0.3158 out per 1M tokens (cache read $0.0211/M) |
step-3.7-flash | — | Text | /v1/chat/completions, /v1/messages, /v1/responses | $0.2105 in / $1.2105 out per 1M tokens (cache read $0.0421/M) |
HappyHorse
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
happyhorse-1.1-i2v | — | Video | /v1/video/generations | $0.098 / output second (720p); $0.126 / output second (higher tier; the upstream feed labels both tiers 720p) |
happyhorse-1.1-r2v | — | Video | /v1/video/generations | $0.098 / output second (720p); $0.126 / output second (1080p) |
happyhorse-1.1-t2v | — | Video | /v1/video/generations | $0.098 / output second (720p); $0.126 / output second (1080p) |
Other
| Model ID | Context | Capabilities | Endpoint(s) | Billing |
|---|---|---|---|---|
text-embedding-3-small | — | Embeddings | /v1/embeddings | $0.0211 in per 1M tokens |
text-embedding-3-large | — | Embeddings | /v1/embeddings | $0.1368 in per 1M tokens |
Choosing a model
| Need | Start with | Why |
|---|---|---|
| Frontier text + vision | gpt-5.5, claude-opus-4-8, gpt-5.4 | Strong reasoning and broad multimodal/coding coverage. |
| Agentic coding | gpt-5.3-codex, claude-opus-4-8, qwen3-coder-plus, MiniMax-M3 | Coding, long-context, and agentic sub-capabilities. |
| Low-cost high-volume text | qwen-flash, deepseek-v4-flash, qwen-mt-flash | Very low input/output pricing for routine tasks. |
| Long-context Chinese or bilingual work | qwen3.6-plus, qwen3.7-max, MiniMax-M3 | 1M-token context options with Chinese-language strength. |
| Visual/document tasks | qwen3-vl-plus, claude-opus-4-8, gpt-5.4 | Vision/document/spatial capability tags. |
| Image generation | gpt-image-2, seedream-5-0-260128, wan2.7-image-pro | Image-generation and image-editing model IDs with per-request billing. |
gpt-5.6-luna, gpt-5.6-sol, gpt-5.6-terra, claude-opus-5, claude-sonnet-5, kimi-k3, kimi-k2.7-code, glm-5.2, and grok-4.5 — are not reflected in this table yet. Check the live catalog before routing production traffic to them.
Notes for agents
- Do not invent AIsa model IDs. Use the exact
modelstrings in the tables. - Do not assume a model supports every modality its upstream family supports. Use the capability tags listed here or check the live model page.
- If a model appears in aisa.one/models but not in a static table, the pricing API has likely enabled it at runtime; prefer the live catalog.
- Pricing tables are informational. The final billed amount appears in AIsa Usage Logs and may include workspace-level pricing rules.
- A
—in the Context column means the current metadata export does not publish that model’s context window. Do not assume a default; read the live catalog.