AI Rate CardQwen3.8 27B vs Mistral Small 3.2 24B Instruct 2506: API price and specs
Qwen3.8 27B is 48% cheaper than Mistral Small 3.2 24B Instruct 2506 on input price.
Mistral Small 3.2 24B Instruct 2506 is 38% cheaper than Qwen3.8 27B on output price.
Qwen3.8 27B is 10% cheaper than Mistral Small 3.2 24B Instruct 2506 on a 1M-in / 200k-out workload.
Qwen3.8 27B has a 762.9% larger context than Mistral Small 3.2 24B Instruct 2506.
| Field | Qwen3.8 27B | Mistral Small 3.2 24B Instruct 2506 |
|---|---|---|
| Lowest input, per 1M | $0.039 | $0.075 +92.3% |
| Median input, per 1M | $0.40 +300% | $0.10 |
| Lowest output, per 1M | $0.32 +60% | $0.20 |
| Median output, per 1M | $2.50 +706.5% | $0.31 |
| Lowest unit price | — | — |
| Cost of 1M in + 200k out | $0.10 | $0.12 +11.7% |
| Context | 1.1M | 131K +88.4% |
| Max output | 500K | 131K +73.8% |
| Providers | 48 | 7 +85.4% |
| Regions | AU, CH, CZ, EU, GLOBAL, US | EU, US |
| Accepts | application/pdf, file, image, image/bmp, image/gif, image/heic, image/jpeg, image/png, image/tiff, image/webp, pdf, text, video, video/mp4, video/quicktime, video/webm, 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 | chutes | 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
berget, cortecs, deepinfra, edenai, fastrouter, ovhcloud, trustedrouter
Frequently asked questions
Which is cheaper, Qwen3.8 27B or Mistral Small 3.2 24B Instruct 2506?
Qwen3.8 27B is 48% cheaper than Mistral Small 3.2 24B Instruct 2506 on input price. Mistral Small 3.2 24B Instruct 2506 is 38% cheaper than Qwen3.8 27B on output price. Qwen3.8 27B is 10% cheaper than Mistral Small 3.2 24B Instruct 2506 on a 1M-in / 200k-out workload.
Which has the larger context, Qwen3.8 27B or Mistral Small 3.2 24B Instruct 2506?
Qwen3.8 27B: 1.1M tokens; Mistral Small 3.2 24B Instruct 2506: 131K tokens.
Where can I use both Qwen3.8 27B and Mistral Small 3.2 24B Instruct 2506?
berget, cortecs, deepinfra, edenai, fastrouter, ovhcloud, trustedrouter