Model Comparison

Mistral NeMo Instruct vs Qwen2.5 14B InstructWhich is better in 2026?

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

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

Mistral NeMo Instruct (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 NeMo Instruct outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 2 benchmarks (MMLU, TruthfulQA). Qwen2.5 14B Instruct significantly outperforms across most benchmarks.

Choose Mistral NeMo Instruct if…

  • you want predictable pricing at $0.15/M input and $0.15/M output

Choose Qwen2.5 14B Instruct 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 2024

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Mistral NeMo Instruct outperforms in 0 benchmarks, while Qwen2.5 14B Instruct is better at 2 benchmarks (MMLU, TruthfulQA).

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

Wed Jul 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

2.7B diff

Qwen2.5 14B Instruct has 2.7B more parameters than Mistral NeMo Instruct, making it 22.5% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
14.7Bparameters
12.0B
Mistral NeMo Instruct
14.7B
Qwen2.5 14B Instruct

Context Window

Maximum input and output token capacity

Only Mistral NeMo Instruct specifies input context (128,000 tokens). Only Mistral NeMo Instruct specifies output context (128,000 tokens).

Mistral AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 14B Instruct
Input- tokens
Output- tokens
Wed Jul 15 2026 • llm-stats.com

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 NeMo Instruct

Apache 2.0

Open weights

Qwen2.5 14B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen2.5 14B Instruct was released on 2024-09-19.

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

Mistral NeMo Instruct

Jul 18, 2024

2.0 years ago

Qwen2.5 14B Instruct

Sep 19, 2024

1.8 years 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?Start an Issue discussion

Key Takeaways

Larger context window (128,000 tokens)
Alibaba Cloud / Qwen Team

Qwen2.5 14B Instruct

View details

Alibaba Cloud / Qwen Team

Higher MMLU score (79.7% vs 68.0%)
Higher TruthfulQA score (58.4% vs 50.3%)

Detailed Comparison

Interactive Arena

Judge for yourself.

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

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

FAQ

Common questions about Mistral NeMo Instruct vs Qwen2.5 14B Instruct.

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

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

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. 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 NeMo Instruct and Qwen2.5 14B Instruct?

Mistral NeMo Instruct 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.

Who makes Mistral NeMo Instruct and Qwen2.5 14B Instruct?

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