제공자 · 2026-05-12
github-models
| 모델 | 입력 / 1M | 출력 / 1M | 컨텍스트 | 제공자 | 태그 |
|---|---|---|---|---|---|
| AI21 Jamba 1.5 Large | 미공개 | 미공개 | 256K | 1 | tools · reasoning |
| AI21 Jamba 1.5 Mini | 미공개 | 미공개 | 256K | 1 | tools · reasoning |
| JAIS 30b Chat | 미공개 | 미공개 | 8K | 1 | tools · reasoning · open-weights |
| Ministral 3B | 미공개 | 미공개 | 128K | 1 | tools · reasoning · open-weights |
| Cohere Command R파생 | 미공개 | 미공개 | 128K | 1 | tools · reasoning |
| Cohere Command R+파생 | 미공개 | 미공개 | 128K | 1 | tools |
| MAI-DS-R1파생 | 미공개 | 미공개 | 66K | 1 | tools · reasoning |
| Phi-3.5-vision instruct (128k)파생 | 미공개 | 미공개 | 128K | 1 | tools · reasoning · vision · open-weights |
Frequently asked questions
How many AI models does github-models offer?
We track 4 canonical github-models models plus 4 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily from models.dev.
Which github-models model has the largest context window?
AI21 Jamba 1.5 Large leads at 256K tokens. This is the total of prompt + completion.
Which github-models models support tool calling?
Multiple github-models models support tool calling, with AI21 Jamba 1.5 Large being a popular pick. The capability column in the table above marks every model with github-models tool-calling support.
What are the best alternatives to github-models?
Depends on the use case. For raw cost savings, look at /pricing/cheapest-llm-api. For agent-oriented workloads, /best/best-ai-model-for-agents. For long-document workflows, /best/best-long-context-llm.
How fresh is this github-models pricing data?
Daily. Our pipeline pulls models.dev each morning and rebuilds these pages on data change, so list-price moves and new model releases land within roughly 24 hours.
Explore more
Top github-models models
- AI21 Jamba 1.5 LargeUnknown pricing
- AI21 Jamba 1.5 MiniUnknown pricing
- JAIS 30b ChatUnknown pricing
- Ministral 3BUnknown pricing
Browse by use case
Browse by capability
마지막 업데이트:
Prices in USD per 1M tokens. Unknown means the provider does not publish per-token pricing.
Data is sourced from models.dev and normalized for comparison. Prices and capabilities may change. Always verify critical production decisions with the provider's official documentation.