Compare AI models
| Specifications | ||
ParametersThe learned values that shape how a model responds. B means billion and T means trillion. For mixture-of-experts models, the total count is larger than the number active for each token. Parameter count alone does not measure quality. | 128B | 0.5B/1.5B/3B/7B/14B/32B |
Context windowHow much information the model can work with in one request, measured in tokens — pieces of words or other data. This includes your question, attachments, conversation and reply. Limits can vary by model variant and provider. | 256k | — |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | $1.50 | — |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | $7.50 | — |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | $0.15 | — |
Cheapest inputLowest input rate across every provider on OpenRouter, the lab included. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | $1.50Mistral | $0.66Cloudflare |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $7.50Mistral | $1.00Cloudflare |
| $675Mistral list price | $182Cloudflare | |
| These models have no shared benchmark scores. | ||
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 77.6% | — |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Apr 29 2026 | Nov 12 2024 |
| Access | Open Weight | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral Medium 3.5vsClaude Haiku 5.5Qwen2.5-CodervsClaude Haiku 5.5Mistral Medium 3.5vsGPT-6.1 TerraQwen2.5-CodervsGPT-6.1 TerraMistral Medium 3.5vsGemini 4 CarbonQwen2.5-CodervsGemini 4 CarbonMistral Medium 3.5vsMuse Spark OpenQwen2.5-CodervsMuse Spark OpenMistral Medium 3.5vsGrok 4.7Qwen2.5-CodervsGrok 4.7Mistral Medium 3.5vsDeepSeek-V4.1-Flash-1017Qwen2.5-CodervsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Medium 3.5 and Qwen2.5-Coder don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Mistral Medium 3.5 has a verified first-party price for an available API: $1.50 per million input tokens and $7.50 per million output tokens. No currently available pay-as-you-go API rate is tracked for Qwen2.5-Coder. Qwen2.5-Coder shipped 533 days before Mistral Medium 3.5, so benchmark comparisons should account for the intervening progress.
Mistral Medium 3.5 has 128B parameters, while Qwen2.5-Coder has 0.5B/1.5B/3B/7B/14B/32B.
Direct benchmark comparisons are unavailable — Mistral Medium 3.5 and Qwen2.5-Coder don't publish scores on any of the same benchmarks.