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. | 119B | 80B |
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 | 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. | $0.15 | — |
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. | $0.60 | — |
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. | $0.15Mistral | $0.072DeepInfra |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $0.60Mistral | $0.88DeepInfra |
| $60.00Mistral list price | $73.00DeepInfra · fp8 | |
| These models have no shared benchmark scores. | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | 6% | — |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Mar 16 2026 | Sep 11 2025 |
| Access | Closed | Open Weight |
| Model details | View model | View model |
Other comparisons
Mistral Small 4vsClaude Haiku 5.5Qwen3-NextvsClaude Haiku 5.5Mistral Small 4vsGPT-6.1 SolQwen3-NextvsGPT-6.1 SolMistral Small 4vsGemini 4 ArgonQwen3-NextvsGemini 4 ArgonMistral Small 4vsMuse Spark OpenQwen3-NextvsMuse Spark OpenMistral Small 4vsGrok 4.7Qwen3-NextvsGrok 4.7Mistral Small 4vsDeepSeek-V4.1-Flash-1017Qwen3-NextvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mistral Small 4 and Qwen3-Next don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Only Mistral Small 4 has a verified first-party API price: $0.15 per million input tokens and $0.60 per million output tokens. No pay-as-you-go API rate is tracked for Qwen3-Next. Qwen3-Next shipped 186 days before Mistral Small 4, so benchmark comparisons should account for the intervening progress.
Mistral Small 4 has 119B parameters, while Qwen3-Next has 80B. Context windows are 256k (Mistral Small 4) vs 256k (Qwen3-Next). Mistral Small 4 is closed, while Qwen3-Next is open weight.
Direct benchmark comparisons are unavailable — Mistral Small 4 and Qwen3-Next don't publish scores on any of the same benchmarks.