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Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 8B Thinking

Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking are closely matched at 8.4 and 16.3 on the LLM Stats Score.

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

Which is better?

Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking are closely matched on the overall LLM Stats Score at 8.4 and 16.3.

In the 2 individual benchmarks reported for both models, Qwen3 VL 8B Thinking wins 2; 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 3 (675B Instruct 2512 Eagle)

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

Choose Qwen3 VL 8B Thinking

  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results

At a glance

The differences that matter most.

Core performance indexes
8.4
#268
16.3
#212
8.6
#260
17.2
#200
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.18 / M
Output price
— / M
$2.09 / M
Context window
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 3 (675B Instruct 2512 Eagle)
Qwen3 VL 8B Thinking
18.0#182
19.1#165
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 Eagle) · 50 for Qwen3 VL 8B Thinking

2 shared

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 0 benchmarks, while Qwen3 VL 8B Thinking is better at 2 benchmarks (GPQA, SimpleQA).

Qwen3 VL 8B Thinking significantly outperforms across most benchmarks.

Sun Sep 06 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

666.0B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 666.0B more parameters than Qwen3 VL 8B Thinking, making it 7400.0% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
9.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)
9.0B
Qwen3 VL 8B Thinking

Context Window

Maximum input and output token capacity

Only Qwen3 VL 8B Thinking specifies input context (262,144 tokens). Only Qwen3 VL 8B Thinking specifies output context (262,144 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 VL 8B Thinking
Input262,144 tokens
Output262,144 tokens
Sun Sep 06 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B 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 8B 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 8B 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 8B Thinking was released on 2025-09-22.

Mistral Large 3 (675B Instruct 2512 Eagle) is 2 months newer than Qwen3 VL 8B Thinking.

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

9 months ago

2mo newer
Qwen3 VL 8B 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 8B Thinking side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Qwen3 VL 8B Thinking
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3 VL 8B Thinking.

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Qwen3 VL 8B Thinking?

Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking are closely matched on the LLM Stats Score at 8.4 and 16.3. Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI and Qwen3 VL 8B Thinking 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 3 (675B Instruct 2512 Eagle) compare to Qwen3 VL 8B 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 8B Thinking scores DocVQAtest: 95.3%, ScreenSpot: 93.6%, MMLU-Redux: 88.8%, MMBench-V1.1: 87.5%, InfoVQAtest: 86.0%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking?

Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens and Qwen3 VL 8B Thinking 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 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking?

Key differences include LLM Stats Score (8.4 vs 16.3). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3 VL 8B Thinking?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Qwen3 VL 8B Thinking is developed by Alibaba Cloud / Qwen Team.