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Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-35B-A3B

Qwen3.5-35B-A3B leads the LLM Stats Score 30.8 to 8.9.

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

Which is better?

Qwen3.5-35B-A3B leads the overall LLM Stats Score 30.8 to 8.9, ranking #132 overall.

The models split the 2 individual benchmarks reported for both models evenly.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Large 3 (675B Instruct 2512 NVFP4)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.5-35B-A3B

  • overall performance matters — it scores 30.8 and ranks #132 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
8.9
#290
30.8
#132
9.1
#283
31.8
#119
1.3
#246
11.4
#168
Cost, coverage & limits
Benchmark wins
1 of 2
1 of 2
Input price
— / M
$0.14 / M
Output price
— / M
$1.00 / 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 NVFP4)
Qwen3.5-35B-A3B
18.9#181
32.7#59
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 3 (675B Instruct 2512 NVFP4) · 81 for Qwen3.5-35B-A3B

2 shared

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 1 benchmarks (MMMLU), while Qwen3.5-35B-A3B is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

640.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 640.0B more parameters than Qwen3.5-35B-A3B, making it 1828.6% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
35.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
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 (262,144 tokens).

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-35B-A3B
Input262,144 tokens
Output262,144 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Instruct 2512 NVFP4) 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 NVFP4)

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 NVFP4)

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 NVFP4) 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 NVFP4).

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

10 months ago

Qwen3.5-35B-A3B

Feb 24, 2026

7 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?

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-35B-A3B side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Instruct 2512 NVFP4)
✓ Preferred
Qwen3.5-35B-A3B
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-35B-A3B.

Which is better, Mistral Large 3 (675B Instruct 2512 NVFP4) or Qwen3.5-35B-A3B?

Qwen3.5-35B-A3B leads the LLM Stats Score 30.8 to 8.9. Mistral Large 3 (675B Instruct 2512 NVFP4) 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 capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 3 (675B Instruct 2512 NVFP4) compare to Qwen3.5-35B-A3B in benchmarks?

Mistral Large 3 (675B Instruct 2512 NVFP4) 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 NVFP4) and Qwen3.5-35B-A3B?

Mistral Large 3 (675B Instruct 2512 NVFP4) 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.

What are the main differences between Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-35B-A3B?

Key differences include LLM Stats Score (8.9 vs 30.8). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-35B-A3B?

Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen3.5-35B-A3B is developed by Alibaba Cloud / Qwen Team.