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Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3.5-35B-A3B

Both models are evenly matched across the benchmarks.

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

Which is better?

Mistral Large 3 (675B Instruct 2512 Eagle) outperforms in 1 benchmarks (MMMLU), while Qwen3.5-35B-A3B is better at 1 benchmark (GPQA). Both models are evenly matched across the benchmarks.

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

Choose Mistral Large 3 (675B Instruct 2512 Eagle)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.5-35B-A3B

  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.25 / M
Output price
— / M
$2.00 / M
Context window
262,144
Released
Dec 2025
Feb 2026
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 1 benchmarks (MMMLU), while Qwen3.5-35B-A3B is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Mon Aug 24 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

640.0B diff

Mistral Large 3 (675B Instruct 2512 Eagle) has 640.0B more parameters than Qwen3.5-35B-A3B, making it 1828.6% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
35.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 Eagle)
35.0B
Qwen3.5-35B-A3B

Context Window

Maximum input and output token capacity

Only Qwen3.5-35B-A3B specifies input context (262,144 tokens). Only Qwen3.5-35B-A3B specifies output context (65,000 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 Eagle)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input262,144 tokens
Output65,000 tokens
Mon Aug 24 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3.5-35B-A3B 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

Qwen3.5-35B-A3B

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

Qwen3.5-35B-A3B

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 Qwen3.5-35B-A3B was released on 2026-02-24.

Qwen3.5-35B-A3B is 3 months newer than Mistral Large 3 (675B Instruct 2512 Eagle).

Mistral Large 3 (675B Instruct 2512 Eagle)

Dec 4, 2025

8 months ago

Qwen3.5-35B-A3B

Feb 24, 2026

6 months ago

2mo 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 3 (675B Instruct 2512 Eagle) and Qwen3.5-35B-A3B side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 Eagle)
✓ Preferred
Qwen3.5-35B-A3B
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 Eagle) vs Qwen3.5-35B-A3B.

Which is better, Mistral Large 3 (675B Instruct 2512 Eagle) or Qwen3.5-35B-A3B?

Both models are evenly matched across the benchmarks. Mistral Large 3 (675B Instruct 2512 Eagle) is made by Mistral AI and Qwen3.5-35B-A3B 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 Qwen3.5-35B-A3B 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%. Qwen3.5-35B-A3B scores CountBench: 97.8%, VLMsAreBlind: 97.0%, MMLU-Redux: 93.3%, V*: 92.7%, AI2D: 92.6%.

What are the context window sizes for Mistral Large 3 (675B Instruct 2512 Eagle) and Qwen3.5-35B-A3B?

Mistral Large 3 (675B Instruct 2512 Eagle) supports an unknown number of tokens and Qwen3.5-35B-A3B supports 262K 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 Qwen3.5-35B-A3B?

Mistral Large 3 (675B Instruct 2512 Eagle) is developed by Mistral AI and Qwen3.5-35B-A3B is developed by Alibaba Cloud / Qwen Team.