제공자 · 2026-05-12
chutes
| 모델 | 입력 / 1M | 출력 / 1M | 컨텍스트 | 제공자 | 태그 |
|---|---|---|---|---|---|
| dots.ocr | $0.010 | $0.011 | 131K | 1 | json · vision · open-weights |
| Hermes 4 14B | $0.014 | $0.054 | 41K | 1 | tools · json · reasoning · open-weights |
| MiMo V2 Flash TEE | $0.090 | $0.290 | 262K | 1 | tools · json · open-weights |
| Qwen3Guard Gen 0.6B파생 | $0.010 | $0.011 | 33K | 1 | open-weights |
| DeepHermes 3 Mistral 24B Preview파생 | $0.025 | $0.098 | 33K | 1 | tools · json · open-weights |
| Qwen3 32B TEE파생 | $0.080 | $0.240 | 41K | 1 | tools · json · reasoning · open-weights |
| gpt oss 120b TEE파생 | $0.090 | $0.360 | 131K | 1 | tools · json · reasoning · open-weights |
| gemma 4 31B turbo TEE파생 | $0.130 | $0.380 | 131K | 1 | tools · json · reasoning · vision · open-weights |
| Qwen3 235B A22B Instruct 2507 TEE파생 | $0.100 | $0.600 | 262K | 1 | tools · json · open-weights |
| DeepSeek V3.2 TEE파생 | $0.280 | $0.420 | 131K | 1 | tools · json · reasoning · open-weights |
| Qwen3 Coder Next TEE파생 | $0.120 | $0.750 | 262K | 1 | tools · json · open-weights |
| DeepSeek V3 0324 TEE파생 | $0.250 | $1.00 | 164K | 1 | tools · json · open-weights |
| DeepSeek V3.1 TEE파생 | $0.270 | $1.00 | 164K | 1 | tools · json · reasoning · open-weights |
| MiniMax M2.5 TEE파생 | $0.150 | $1.20 | 197K | 1 | tools · json · reasoning · open-weights |
| DeepSeek TNG R1T2 Chimera TEE파생 | $0.300 | $1.10 | 164K | 1 | tools · json · reasoning · open-weights |
| Qwen3.6 27B TEE파생 | $0.195 | $1.56 | 262K | 1 | tools · json · reasoning · vision · open-weights |
| GLM 4.7 TEE파생 | $0.390 | $1.75 | 203K | 1 | tools · json · reasoning · open-weights |
| Kimi K2.5 TEE파생 | $0.440 | $2.00 | 262K | 1 | tools · json · reasoning · vision · open-weights |
| DeepSeek R1 0528 TEE파생 | $0.450 | $2.15 | 164K | 1 | tools · json · reasoning · open-weights |
| Qwen3.5 397B A17B TEE파생 | $0.390 | $2.34 | 262K | 1 | tools · json · reasoning · vision · open-weights |
| GLM 5 TEE파생 | $0.950 | $2.55 | 203K | 1 | tools · json · reasoning · open-weights |
| GLM 5.1 TEE파생 | $1.05 | $3.50 | 203K | 1 | tools · json · reasoning · open-weights |
| Kimi K2.6 TEE파생 | $0.950 | $4.00 | 262K | 1 | tools · json · reasoning · vision · open-weights |
Frequently asked questions
How many AI models does chutes offer?
We track 3 canonical chutes models plus 20 community fine-tunes / derivatives (excluded from the main table). The list is recomputed daily from models.dev.
Which chutes model is the cheapest?
dots.ocr is currently the lowest-priced chutes model, at $0.010 per 1M input tokens and $0.011 per 1M output tokens. For the full apples-to-apples list, see /pricing/cheapest-llm-api.
Which chutes model has the largest context window?
MiMo V2 Flash TEE leads at 262K tokens. This is the total of prompt + completion.
Which chutes models support tool calling?
Multiple chutes models support tool calling, with Hermes 4 14B being a popular pick. The capability column in the table above marks every model with chutes tool-calling support.
Which chutes models accept image input?
dots.ocr accepts image input. Other vision-capable chutes models are tagged 'vision' in the table above. See /capabilities/vision for a cross-vendor comparison.
What are the best alternatives to chutes?
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 chutes 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 chutes models
- dots.ocr$0.01 in / $0.01 out
- Hermes 4 14B$0.01 in / $0.05 out
- MiMo V2 Flash TEE$0.09 in / $0.29 out
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.