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Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 30B A3B Thinking

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

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

Which is better?

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, SimpleQA). Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you want the most recent training data — it shipped Dec 2025

Choose Qwen3 VL 30B A3B Thinking

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks

At a glance

The differences that matter most.

Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.20 / M
Output price
— / M
$0.99 / M
Context window
131,072
Released
Dec 2025
Sep 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while Qwen3 VL 30B A3B Thinking is better at 2 benchmarks (GPQA, SimpleQA).

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

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

644.0B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 644.0B more parameters than Qwen3 VL 30B A3B Thinking, making it 2077.4% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
31.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)
31.0B
Qwen3 VL 30B A3B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 30B A3B Thinking specifies input context (131,072 tokens). Only Qwen3 VL 30B A3B Thinking specifies output context (32,768 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 30B A3B Thinking
Input131,072 tokens
Output32,768 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Large 3 (675B Instruct 2512 Eagle)

Text
Images
Audio
Video

Qwen3 VL 30B A3B Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Mistral Large 3 (675B Instruct 2512 Eagle)

Apache 2.0

Open weights

Qwen3 VL 30B A3B Thinking

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Instruct 2512 Eagle) was released on 2025-12-04, while Qwen3 VL 30B A3B Thinking was released on 2025-09-22.

Mistral Large 3 (675B Instruct 2512 Eagle) is 2 months newer than Qwen3 VL 30B A3B Thinking.

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

8 months ago

2mo newer
Qwen3 VL 30B A3B Thinking

Sep 22, 2025

11 months ago

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 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Qwen3 VL 30B A3B Thinking
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 30B A3B Thinking.

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Qwen3 VL 30B A3B Thinking?

Qwen3 VL 30B A3B Thinking significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI and Qwen3 VL 30B A3B Thinking 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 3 (675B Instruct 2512 Eagle) compare to Qwen3 VL 30B A3B Thinking in benchmarks?

Mistral Large 3 (675B Instruct 2512 Eagle) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Qwen3 VL 30B A3B Thinking scores DocVQAtest: 95.0%, ScreenSpot: 94.7%, MMLU-Redux: 90.9%, MMBench-V1.1: 88.9%, MMLU: 87.6%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking?

Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens and Qwen3 VL 30B A3B Thinking supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Who makes Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 30B A3B Thinking?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Qwen3 VL 30B A3B Thinking is developed by Alibaba Cloud / Qwen Team.