AI Rate CardQwen3.5 397B-A17B vs Mistral Small 3.2 24B Instruct 2506: API price and specs
Mistral Small 3.2 24B Instruct 2506 is 54% cheaper than Qwen3.5 397B-A17B on input price.
Mistral Small 3.2 24B Instruct 2506 is 80% cheaper than Qwen3.5 397B-A17B on output price.
Mistral Small 3.2 24B Instruct 2506 is 68% cheaper than Qwen3.5 397B-A17B on a 1M-in / 200k-out workload.
Qwen3.5 397B-A17B has a 100% larger context than Mistral Small 3.2 24B Instruct 2506.
| Field | Qwen3.5 397B-A17B | Mistral Small 3.2 24B Instruct 2506 |
|---|---|---|
| Lowest input, per 1M | $0.16 +119.2% | $0.075 |
| Median input, per 1M | $0.55 +450% | $0.10 |
| Lowest output, per 1M | $0.99 +393.2% | $0.20 |
| Median output, per 1M | $3.60 +1061.3% | $0.31 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.36 +214.5% | $0.12 |
| Context | 262K | 131K +50% |
| Max output | 262K | 131K +50% |
| Providers | 30 | 7 +76.7% |
| Regions | CH, EU, GLOBAL, US | EU, US |
| Accepts | file, image, image/bmp, image/heic, image/jpeg, image/png, image/tiff, image/webp, text, video, video/mp4, video/quicktime, video/x-flv, video/x-matroska, video/x-ms-wmv, video/x-msvideo | image, text |
| Returns | text | text |
| Type | Text models | Text models |
| Free option | no | no |
| Cheapest provider | aihubmix | deepinfra |
Your own workload: how many tokens the model gets (input) and gives back (output) - for example, in a month. The "Cost" row of the table above is recalculated for these numbers, for each model.
Computed from current offers each time the page opens; the best value of a row is bold, the percent is how far behind the best.
Providers selling both
cortecs, deepinfra, edenai, fastrouter, ovhcloud, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.5 397B-A17B or Mistral Small 3.2 24B Instruct 2506?
Mistral Small 3.2 24B Instruct 2506 is 54% cheaper than Qwen3.5 397B-A17B on input price. Mistral Small 3.2 24B Instruct 2506 is 80% cheaper than Qwen3.5 397B-A17B on output price. Mistral Small 3.2 24B Instruct 2506 is 68% cheaper than Qwen3.5 397B-A17B on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.5 397B-A17B or Mistral Small 3.2 24B Instruct 2506?
Qwen3.5 397B-A17B: 262K tokens; Mistral Small 3.2 24B Instruct 2506: 131K tokens.
Where can I use both Qwen3.5 397B-A17B and Mistral Small 3.2 24B Instruct 2506?
cortecs, deepinfra, edenai, fastrouter, ovhcloud, trustedrouter