AI Model Release Tracker

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.
24B72B
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.
32k32k
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.
$0.05DeepInfra—
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
$0.08DeepInfra—
$14.00DeepInfra · fp8—
Overview
CompanyMistralQwen
Release dateJan 30 2025Nov 30 2023
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Mistral Small 3vsClaude Haiku 5.5Qwen-72BvsClaude Haiku 5.5Mistral Small 3vsGPT-6.1 SolQwen-72BvsGPT-6.1 SolMistral Small 3vsGemini 4 ArgonQwen-72BvsGemini 4 ArgonMistral Small 3vsMuse Spark OpenQwen-72BvsMuse Spark OpenMistral Small 3vsGrok 4.7Qwen-72BvsGrok 4.7Mistral Small 3vsDeepSeek-V4.1-Flash-1017Qwen-72BvsDeepSeek-V4.1-Flash-1017

Frequently asked questions

Mistral Small 3 and Qwen-72B don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen-72B shipped 427 days before Mistral Small 3, so benchmark comparisons should account for the intervening progress.

Mistral Small 3 has 24B parameters, while Qwen-72B has 72B. Context windows are 32k (Mistral Small 3) vs 32k (Qwen-72B).

Direct benchmark comparisons are unavailable — Mistral Small 3 and Qwen-72B don't publish scores on any of the same benchmarks.