Model Comparison

Mistral Large 2 vs Qwen3 VL 30B A3B Instruct

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Qwen3 VL 30B A3B Instruct is 9.2x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 2 outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Instruct is better at 1 benchmark (MMLU).

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks.

Thu May 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 VL 30B A3B Instruct costs less

For input processing, Mistral Large 2 ($2.00/1M tokens) is 10.0x more expensive than Qwen3 VL 30B A3B Instruct ($0.20/1M tokens).

For output processing, Mistral Large 2 ($6.00/1M tokens) is 8.6x more expensive than Qwen3 VL 30B A3B Instruct ($0.70/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Qwen3 VL 30B A3B Instruct.*

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

Lowest available price from all providers

Thu May 14 2026 • llm-stats.com

Mistral Large 2

Input tokens$2.00

Output tokens$6.00

Best providerGoogle

Qwen3 VL 30B A3B Instruct

Input tokens$0.20

Output tokens$0.70

Best providerNovita

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Model Size

Parameter count comparison

92.0B diff

Mistral Large 2 has 92.0B more parameters than Qwen3 VL 30B A3B Instruct, making it 296.8% larger.

Mistral Large 2

123.0Bparameters

Qwen3 VL 30B A3B Instruct

31.0Bparameters

123.0B

Mistral Large 2

31.0B

Qwen3 VL 30B A3B Instruct

Context Window

Maximum input and output token capacity

Qwen3 VL 30B A3B Instruct accepts 131,072 input tokens compared to Mistral Large 2's 128,000 tokens. Mistral Large 2 can generate longer responses up to 128,000 tokens, while Qwen3 VL 30B A3B Instruct is limited to 32,768 tokens.

Mistral Large 2

Input128,000 tokens

Output128,000 tokens

Qwen3 VL 30B A3B Instruct

Input131,072 tokens

Output32,768 tokens

Thu May 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 30B A3B Instruct supports multimodal inputs, whereas Mistral Large 2 does not.

Qwen3 VL 30B A3B 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 30B A3B Instruct

Text

Images

Audio

Video

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen3 VL 30B A3B 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 30B A3B 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 30B A3B Instruct was released on 2025-09-22.

Qwen3 VL 30B A3B Instruct is 14 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

1.8 years ago

Qwen3 VL 30B A3B Instruct

Sep 22, 2025

7 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 30B A3B Instruct is available from Novita, DeepInfra.

Mistral Large 2

Google

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Mistral

Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Qwen3 VL 30B A3B Instruct

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.70/1M

Deepinfra

Input Price:Input: $0.29/1MOutput Price:Output: $0.99/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral Large 2

View details

Mistral AI

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

Qwen3 VL 30B A3B Instruct

View details

Alibaba Cloud / Qwen Team

Larger context window (131,072 tokens)

Supports multimodal inputs

Less expensive input tokens

Less expensive output tokens

Higher MMLU score (85.0% vs 84.0%)

Detailed Comparison

AI Model Comparison Table
Feature	Mistral Large 2	Qwen3 VL 30B A3B Instruct

FAQ

Common questions about Mistral Large 2 vs Qwen3 VL 30B A3B Instruct.

Which is better, Mistral Large 2 or Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct significantly outperforms across most benchmarks. Mistral Large 2 is made by Mistral AI and Qwen3 VL 30B A3B 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 30B A3B 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 30B A3B Instruct scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, OCRBench: 90.3%, MMLU-Redux: 88.4%, MMBench-V1.1: 87.0%.

Is Mistral Large 2 cheaper than Qwen3 VL 30B A3B Instruct?

Qwen3 VL 30B A3B Instruct is 10.0x cheaper for input tokens. Mistral Large 2 costs $2.00/M input and $6.00/M output via google. Qwen3 VL 30B A3B Instruct costs $0.20/M input and $0.70/M output via novita.

What are the context window sizes for Mistral Large 2 and Qwen3 VL 30B A3B Instruct?

Mistral Large 2 supports 128K tokens and Qwen3 VL 30B A3B Instruct supports 131K 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 30B A3B Instruct?

Key differences include context window (128K vs 131K), input pricing ($2.00 vs $0.20/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 30B A3B Instruct?

Mistral Large 2 is developed by Mistral AI and Qwen3 VL 30B A3B Instruct is developed by Alibaba Cloud / Qwen Team.