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Mistral Large 2 vs Qwen3 VL 32B Instruct

Qwen3 VL 32B Instruct leads the LLM Stats Score 20.3 to 7.4.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Qwen3 VL 32B Instruct leads the overall LLM Stats Score 20.3 to 7.4, ranking #195 overall.

In the 1 individual benchmarks reported for both models, Qwen3 VL 32B Instruct wins 1; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Large 2

  • you want predictable pricing at $2.00/M input and $6.00/M output

Choose Qwen3 VL 32B Instruct

  • overall performance matters — it scores 20.3 and ranks #195 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Sep 2025

At a glance

The differences that matter most.

Mistral Large 2
Mistral AI
Qwen3 VL 32B Instruct
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
7.4
#288
20.3
#195
Reasoning
7.3
#281
19.2
#201
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
128,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 2
Qwen3 VL 32B Instruct
Math
11.3#244
19.5#167
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 2 · 45 for Qwen3 VL 32B Instruct

1 shared

Mistral Large 2 outperforms in 0 benchmarks, while Qwen3 VL 32B Instruct is better at 1 benchmark (MMLU).

Qwen3 VL 32B Instruct significantly outperforms across most benchmarks.

Mon Sep 21 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

90.0B diff

Mistral Large 2 has 90.0B more parameters than Qwen3 VL 32B Instruct, making it 272.7% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
33.0Bparameters
123.0B
Mistral Large 2
33.0B
Qwen3 VL 32B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 32B Instruct
Input- tokens
Output- tokens
Mon Sep 21 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Qwen3 VL 32B Instruct supports multimodal inputs, whereas Mistral Large 2 does not.

Qwen3 VL 32B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 2

Text
Images
Audio
Video

Qwen3 VL 32B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen3 VL 32B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 2

Mistral Research License

Open weights

Qwen3 VL 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Qwen3 VL 32B Instruct was released on 2025-09-22.

Qwen3 VL 32B Instruct is 14 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.2 years ago

Qwen3 VL 32B Instruct

Sep 22, 2025

12 months ago

1.2yr newer

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Judge for yourself.

Run your own prompts against Mistral Large 2 and Qwen3 VL 32B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Qwen3 VL 32B Instruct
Open in Playground

FAQ

Common questions about Mistral Large 2 vs Qwen3 VL 32B Instruct.

Which is better, Mistral Large 2 or Qwen3 VL 32B Instruct?

Qwen3 VL 32B Instruct leads the LLM Stats Score 20.3 to 7.4. Mistral Large 2 is made by Mistral AI and Qwen3 VL 32B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 2 compare to Qwen3 VL 32B Instruct in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. Qwen3 VL 32B Instruct scores DocVQAtest: 96.9%, ScreenSpot: 95.8%, CharXiv-D: 90.5%, MMLU-Redux: 89.8%, AI2D: 89.5%.

What are the context window sizes for Mistral Large 2 and Qwen3 VL 32B Instruct?

Mistral Large 2 supports 128K tokens and Qwen3 VL 32B Instruct supports an unknown number of tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 2 and Qwen3 VL 32B Instruct?

Key differences include LLM Stats Score (7.4 vs 20.3), multimodal support (no vs yes), licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Qwen3 VL 32B Instruct?

Mistral Large 2 is developed by Mistral AI and Qwen3 VL 32B Instruct is developed by Alibaba Cloud / Qwen Team.

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