Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen3.5-9B Comparison

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 1 benchmarks (MMMLU), while Qwen3.5-9B is better at 1 benchmark (GPQA).

Both models are evenly matched across the benchmarks.

Sat Mar 14 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Cost data unavailable.

Lowest available price from all providers
Sat Mar 14 2026 • llm-stats.com
Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
Alibaba Cloud / Qwen Team
Qwen3.5-9B
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

666.0B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 666.0B more parameters than Qwen3.5-9B, making it 7400.0% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-9B
9.0Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
9.0B
Qwen3.5-9B

Input Capabilities

Supported data types and modalities

Both Mistral Large 3 (675B Instruct 2512 NVFP4) and Qwen3.5-9B 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

Qwen3.5-9B

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

Qwen3.5-9B

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 Qwen3.5-9B was released on 2026-03-02.

Qwen3.5-9B is 3 months newer than Mistral Large 3 (675B Instruct 2512 NVFP4).

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

3 months ago

Qwen3.5-9B

Mar 2, 2026

1 weeks 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

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Key Takeaways

Higher MMMLU score (85.5% vs 81.2%)
Alibaba Cloud / Qwen Team

Qwen3.5-9B

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (81.7% vs 43.9%)

Detailed Comparison