Model Comparison

Mistral Large 2 vs Qwen3 VL 235B A22B InstructWhich is better in 2026?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Qwen3 VL 235B A22B Instruct is 5.0x cheaper per token.

Verdict: Mistral Large 2 vs Qwen3 VL 235B A22B Instruct — which is better?

Mistral Large 2 (by Mistral AI) and Qwen3 VL 235B A22B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Mistral Large 2 outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU). Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

On price, Qwen3 VL 235B A22B Instruct is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 VL 235B A22B Instruct also accepts a larger context window (262,144 input tokens), making it the stronger choice for long documents and large codebases.

Choose Mistral Large 2 if…

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

Choose Qwen3 VL 235B A22B Instruct if…

  • you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
  • cost matters — it's about 5.0x cheaper per token
  • you process long inputs — it offers a 262,144 token context window
  • you want the most recent training data — it shipped Sep 2025
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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 2 outperforms in 0 benchmarks, while Qwen3 VL 235B A22B Instruct is better at 1 benchmark (MMLU).

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks.

Sat Jun 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 235B A22B Instruct costs less

For input processing, Mistral Large 2 ($2.00/1M tokens) is 6.7x more expensive than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).

For output processing, Mistral Large 2 ($6.00/1M tokens) is 4.0x more expensive than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Qwen3 VL 235B A22B Instruct.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.30
Output tokens$1.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

113.0B diff

Qwen3 VL 235B A22B Instruct has 113.0B more parameters than Mistral Large 2, making it 91.9% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
236.0Bparameters
123.0B
Mistral Large 2
236.0B
Qwen3 VL 235B A22B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to Mistral Large 2's 128,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 tokens, while Mistral Large 2 is limited to 128,000 tokens.

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Mistral Large 2 does not.

Qwen3 VL 235B A22B 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 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen3 VL 235B A22B 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 235B A22B 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 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 14 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

1.9 years ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

8 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

Provider Availability

Mistral Large 2 is available from Google, Mistral AI. Qwen3 VL 235B A22B Instruct is available from DeepInfra, Novita.

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI

No standout differentiators in the data we have for this pair.

Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens
Higher MMLU score (88.8% vs 84.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 2
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct

FAQ

Common questions about Mistral Large 2 vs Qwen3 VL 235B A22B Instruct.

Which is better, Mistral Large 2 or Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct significantly outperforms across most benchmarks. Mistral Large 2 is made by Mistral AI and Qwen3 VL 235B A22B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Large 2 compare to Qwen3 VL 235B A22B 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 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.

Is Mistral Large 2 cheaper than Qwen3 VL 235B A22B Instruct?

Qwen3 VL 235B A22B Instruct is 6.7x cheaper for input tokens. Mistral Large 2 costs $2.00/M input and $6.00/M output via google. Qwen3 VL 235B A22B Instruct costs $0.30/M input and $1.49/M output via deepinfra.

What are the context window sizes for Mistral Large 2 and Qwen3 VL 235B A22B Instruct?

Mistral Large 2 supports 128K tokens and Qwen3 VL 235B A22B Instruct supports 262K 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 235B A22B Instruct?

Key differences include context window (128K vs 262K), input pricing ($2.00 vs $0.30/M), 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 235B A22B Instruct?

Mistral Large 2 is developed by Mistral AI and Qwen3 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.

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