Model Comparison

Mistral Large 3 vs Qwen2.5 14B InstructWhich is better in 2026?

Mistral Large 3 significantly outperforms across most benchmarks.

Verdict: Mistral Large 3 vs Qwen2.5 14B Instruct — which is better?

Mistral Large 3 (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 3 outperforms in 2 benchmarks (MATH, MMLU-Redux), while Qwen2.5 14B Instruct is better at 0 benchmarks. Mistral Large 3 significantly outperforms across most benchmarks.

Choose Mistral Large 3 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you want the most recent training data — it shipped Sep 2025

Choose Qwen2.5 14B Instruct if…

  • you are already invested in the Alibaba Cloud / Qwen Team ecosystem

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral Large 3 outperforms in 2 benchmarks (MATH, MMLU-Redux), while Qwen2.5 14B Instruct is better at 0 benchmarks.

Mistral Large 3 significantly outperforms across most benchmarks.

Tue Jul 28 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

660.3B diff

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

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
675.0B
Mistral Large 3
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Qwen2.5 14B Instruct does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3

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

Apache 2.0

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen2.5 14B Instruct was released on 2024-09-19.

Mistral Large 3 is 12 months newer than Qwen2.5 14B Instruct.

Mistral Large 3

Sep 1, 2025

11 months ago

11mo newer
Qwen2.5 14B Instruct

Sep 19, 2024

1.9 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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Supports multimodal inputs
Higher MATH score (90.4% vs 80.0%)
Higher MMLU-Redux score (82.0% vs 80.0%)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

No standout differentiators in the data we have for this pair.

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Large 3 and Qwen2.5 14B Instruct side-by-side, then vote on the output you prefer.

Mistral Large 3
✓ Preferred
Qwen2.5 14B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct

FAQ

Common questions about Mistral Large 3 vs Qwen2.5 14B Instruct.

Which is better, Mistral Large 3 or Qwen2.5 14B Instruct?

Mistral Large 3 significantly outperforms across most benchmarks. Mistral Large 3 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 3 compare to Qwen2.5 14B Instruct in benchmarks?

Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. 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 3 and Qwen2.5 14B Instruct?

Mistral Large 3 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 3 and Qwen2.5 14B Instruct?

Key differences include multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 and Qwen2.5 14B Instruct?

Mistral Large 3 is developed by Mistral AI and Qwen2.5 14B Instruct is developed by Alibaba Cloud / Qwen Team.