The AI arena is free today

Open Playground

Model Comparison

Mistral Large 2 vs Qwen2.5 14B InstructWhich is better in 2026?

Mistral Large 2 shows notably better performance in the majority of benchmarks.

Verdict: Mistral Large 2 vs Qwen2.5 14B Instruct — which is better?

Mistral Large 2 (by Mistral AI) and Qwen2.5 14B Instruct (by Alibaba Cloud / Qwen Team) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Mistral Large 2 outperforms in 2 benchmarks (HumanEval, MMLU), while Qwen2.5 14B Instruct is better at 1 benchmark (GSM8k). Mistral Large 2 shows notably better performance in the majority of benchmarks.

Choose Mistral Large 2 if…

  • you want the strongest raw capability — it leads on 2 of 3 shared benchmarks

Choose Qwen2.5 14B Instruct if…

  • you want the most recent training data — it shipped Sep 2024

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Mistral Large 2 outperforms in 2 benchmarks (HumanEval, MMLU), while Qwen2.5 14B Instruct is better at 1 benchmark (GSM8k).

Mistral Large 2 shows notably better performance in the majority of benchmarks.

Fri Aug 07 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

108.3B diff

Mistral Large 2 has 108.3B more parameters than Qwen2.5 14B Instruct, making it 736.7% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
123.0B
Mistral Large 2
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 2 specifies input context (128,000 tokens). Only Mistral Large 2 specifies output context (128,000 tokens).

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Fri Aug 07 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen2.5 14B Instruct uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Mistral Large 2

Mistral Research License

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Qwen2.5 14B Instruct was released on 2024-09-19.

Qwen2.5 14B Instruct is 2 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.0 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

1.9 years ago

1mo 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

Key Takeaways

Larger context window (128,000 tokens)
Higher HumanEval score (92.0% vs 83.5%)
Higher MMLU score (84.0% vs 79.7%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher GSM8k score (94.8% vs 93.0%)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 2 and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Large 2
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Mistral Large 2 vs Qwen2.5 14B Instruct.

Which is better, Mistral Large 2 or Qwen2.5 14B Instruct?

Mistral Large 2 shows notably better performance in the majority of benchmarks. Mistral Large 2 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.

How does Mistral Large 2 compare to Qwen2.5 14B Instruct in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. Qwen2.5 14B Instruct scores GSM8k: 94.8%, HumanEval: 83.5%, MBPP: 82.0%, MATH: 80.0%, MMLU-Redux: 80.0%.

What are the context window sizes for Mistral Large 2 and Qwen2.5 14B Instruct?

Mistral Large 2 supports 128K tokens and Qwen2.5 14B Instruct supports an unknown number of 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 2 and Qwen2.5 14B Instruct?

Key differences include licensing (Mistral Research License vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Qwen2.5 14B Instruct?

Mistral Large 2 is developed by Mistral AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.