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. | 141B | — |
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. | 64k | 1M |
| API pricingUSD per 1M tokens · lower wins | ||
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. | $2.00Mistral | — |
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input. | $6.00Mistral | — |
| $700Mistral · zdr | — | |
| Overview | ||
| Company | Mistral | Qwen |
| Release date | Apr 10 2024 | Nov 11 2026 |
| Access | Open Weight | Closed |
| Model details | View model | View model |
Other comparisons
Mixtral 8×22BvsClaude Fable 5.2Qwen4-Max PreviewvsClaude Fable 5.2Mixtral 8×22BvsGPT-6.1 TerraQwen4-Max PreviewvsGPT-6.1 TerraMixtral 8×22BvsGemini 4 CarbonQwen4-Max PreviewvsGemini 4 CarbonMixtral 8×22BvsMuse EmberQwen4-Max PreviewvsMuse EmberMixtral 8×22BvsGrok 4.7Qwen4-Max PreviewvsGrok 4.7Mixtral 8×22BvsDeepSeek-V4.1-Flash-1017Qwen4-Max PreviewvsDeepSeek-V4.1-Flash-1017Frequently asked questions
Mixtral 8×22B and Qwen4-Max Preview don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Mixtral 8×22B shipped 945 days before Qwen4-Max Preview, so benchmark comparisons should account for the intervening progress.
Context windows are 64k (Mixtral 8×22B) vs 1M (Qwen4-Max Preview). Mixtral 8×22B is open weight, while Qwen4-Max Preview is closed.
Direct benchmark comparisons are unavailable — Mixtral 8×22B and Qwen4-Max Preview don't publish scores on any of the same benchmarks.