AI Model Release Tracker

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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.
24B0.5B/1.8B/4B/7B/14B/72B
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 2025Feb 4 2024
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

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Frequently asked questions

Mistral Small 3 and Qwen1.5 don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Qwen1.5 shipped 361 days before Mistral Small 3, so benchmark comparisons should account for the intervening progress.

Mistral Small 3 has 24B parameters, while Qwen1.5 has 0.5B/1.8B/4B/7B/14B/72B. Context windows are 32k (Mistral Small 3) vs 32k (Qwen1.5).

Direct benchmark comparisons are unavailable — Mistral Small 3 and Qwen1.5 don't publish scores on any of the same benchmarks.