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.
8B80B
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.
128k256k
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.
—$0.072DeepInfra
Cheapest outputLowest output rate across every provider on OpenRouter, the lab included. May come from a different provider than the cheapest input.
—$0.88DeepInfra
—$73.00DeepInfra · fp8
Overview
CompanyMistralQwen
Release dateOct 16 2024Sep 11 2025
AccessOpen WeightOpen Weight
Model detailsView modelView model

Other comparisons

Ministral 8BvsClaude Haiku 5.5Qwen3-NextvsClaude Haiku 5.5Ministral 8BvsGPT-6.1 SolQwen3-NextvsGPT-6.1 SolMinistral 8BvsGemini 4 ArgonQwen3-NextvsGemini 4 ArgonMinistral 8BvsMuse Spark OpenQwen3-NextvsMuse Spark OpenMinistral 8BvsGrok 4.7Qwen3-NextvsGrok 4.7Ministral 8BvsDeepSeek-V4.1-Flash-1017Qwen3-NextvsDeepSeek-V4.1-Flash-1017

Frequently asked questions

Ministral 8B and Qwen3-Next don't publish scores on any of the same benchmarks, so there's no direct head-to-head comparison. Ministral 8B shipped 330 days before Qwen3-Next, so benchmark comparisons should account for the intervening progress.

Ministral 8B has 8B parameters, while Qwen3-Next has 80B. Context windows are 128k (Ministral 8B) vs 256k (Qwen3-Next).

Direct benchmark comparisons are unavailable — Ministral 8B and Qwen3-Next don't publish scores on any of the same benchmarks.