Mistral Large 2 vs QwQ-32B-Preview
Mistral Large 2 and QwQ-32B-Preview are closely matched at 7.4 and 9.0 on the LLM Stats Score. QwQ-32B-Preview is 18.5x cheaper per token.
Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026
Which is better?
Mistral Large 2 and QwQ-32B-Preview are closely matched on the overall LLM Stats Score at 7.4 and 9.0.
On price, QwQ-32B-Preview is roughly 18.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Mistral Large 2 also accepts a larger context window (128,000 input tokens), making it the stronger choice for long documents and large codebases.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Mistral Large 2
- you process long inputs — it offers a 128,000 token context window
Choose QwQ-32B-Preview
- cost matters — it's about 18.5x cheaper per token
- you want the most recent training data — it shipped Nov 2024
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
5 reported for Mistral Large 2 · 4 for QwQ-32B-Preview
Mistral Large 2 and QwQ-32B-Previewdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Mistral Large 2 ($2.00/1M tokens) is 13.3x more expensive than QwQ-32B-Preview ($0.15/1M tokens).
For output processing, Mistral Large 2 ($6.00/1M tokens) is 30.0x more expensive than QwQ-32B-Preview ($0.20/1M tokens).
In conclusion, Mistral Large 2 is more expensive than QwQ-32B-Preview.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 2 has 90.5B more parameters than QwQ-32B-Preview, making it 278.5% larger.
Context Window
Maximum input and output token capacity
Mistral Large 2 accepts 128,000 input tokens compared to QwQ-32B-Preview's 32,768 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while QwQ-32B-Preview is limited to 32,768 tokens.
License
Usage and distribution terms
Mistral Large 2 is licensed under Mistral Research License, while QwQ-32B-Preview uses Apache 2.0.
License differences may affect how you can use these models in commercial or open-source projects.
Mistral Research License
Open weights
Apache 2.0
Open weights
Release Timeline
When each model was launched
Mistral Large 2 was released on 2024-07-24, while QwQ-32B-Preview was released on 2024-11-28.
QwQ-32B-Preview is 4 months newer than Mistral Large 2.
Jul 24, 2024
2.2 years ago
Nov 28, 2024
1.8 years ago
4mo newerKnowledge Cutoff
When training data ends
QwQ-32B-Preview has a documented knowledge cutoff of 2024-11-28, while Mistral Large 2's cutoff date is not specified.
We can confirm QwQ-32B-Preview's training data extends to 2024-11-28, but cannot make a direct comparison without Mistral Large 2's cutoff date.
—
Nov 2024
Provider Availability
Mistral Large 2 is available from Google, Mistral AI. QwQ-32B-Preview is available from DeepInfra, Hyperbolic, Fireworks, Together.
Mistral Large 2
QwQ-32B-Preview
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 2 and QwQ-32B-Preview side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 2 vs QwQ-32B-Preview.