Model Comparison

Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 (675B Instruct 2512 NVFP4) outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 1 benchmark (GPQA).

Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Tue Apr 21 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
Tue Apr 21 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
Qwen2.5 14B Instruct
Input tokens$0.00
Output tokens$0.00
Best providerUnknown Organization
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Model Size

Parameter count comparison

660.3B diff

Mistral Large 3 (675B Instruct 2512 NVFP4) has 660.3B more parameters than Qwen2.5 14B Instruct, making it 4491.8% larger.

Mistral AI
Mistral Large 3 (675B Instruct 2512 NVFP4)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
675.0B
Mistral Large 3 (675B Instruct 2512 NVFP4)
14.7B
Qwen2.5 14B Instruct

Input Capabilities

Supported data types and modalities

Mistral Large 3 (675B Instruct 2512 NVFP4) supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Mistral Large 3 (675B Instruct 2512 NVFP4) can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3 (675B Instruct 2512 NVFP4)

Text
Images
Audio
Video

Qwen2.5 14B Instruct

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

Qwen2.5 14B Instruct

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 Qwen2.5 14B Instruct was released on 2024-09-19.

Mistral Large 3 (675B Instruct 2512 NVFP4) is 15 months newer than Qwen2.5 14B Instruct.

Mistral Large 3 (675B Instruct 2512 NVFP4)

Dec 4, 2025

4 months ago

1.2yr newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.6 years 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

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Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GPQA score (45.5% vs 43.9%)

Detailed Comparison

FAQ

Common questions about Mistral Large 3 (675B Instruct 2512 NVFP4) vs Qwen2.5 14B Instruct

Qwen2.5 14B Instruct significantly outperforms across most benchmarks. Mistral Large 3 (675B Instruct 2512 NVFP4) is made by Mistral AI and Qwen2.5 14B Instruct is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.
Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 (675B Instruct 2512 NVFP4) is developed by Mistral AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.