Model Comparison

Mistral NeMo Instruct vs Qwen2 72B Instruct

Qwen2 72B Instruct significantly outperforms across most benchmarks.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Mistral NeMo Instruct outperforms in 0 benchmarks, while Qwen2 72B Instruct is better at 4 benchmarks (HellaSwag, MMLU, TruthfulQA, Winogrande).

Qwen2 72B Instruct significantly outperforms across most benchmarks.

Wed May 13 2026 • llm-stats.com

Arena Performance

Human preference votes

Model Size

Parameter count comparison

60.0B diff

Qwen2 72B Instruct has 60.0B more parameters than Mistral NeMo Instruct, making it 500.0% larger.

Mistral NeMo Instruct

12.0Bparameters

Qwen2 72B Instruct

72.0Bparameters

12.0B

Mistral NeMo Instruct

72.0B

Qwen2 72B 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 NeMo Instruct

Input128,000 tokens

Output128,000 tokens

Qwen2 72B Instruct

Input- tokens

Output- tokens

Wed May 13 2026 • llm-stats.com

License

Usage and distribution terms

Mistral NeMo Instruct is licensed under Apache 2.0, while Qwen2 72B Instruct uses tongyi-qianwen.

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

Mistral NeMo Instruct

Apache 2.0

Open weights

Qwen2 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen2 72B Instruct was released on 2024-07-23.

Qwen2 72B Instruct is 0 month newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

1.8 years ago

Qwen2 72B Instruct

Jul 23, 2024

1.8 years ago

5d 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

Mistral NeMo Instruct

View details

Mistral AI

Larger context window (128,000 tokens)

Qwen2 72B Instruct

View details

Alibaba Cloud / Qwen Team

Higher HellaSwag score (87.6% vs 83.5%)

Higher MMLU score (82.3% vs 68.0%)

Higher TruthfulQA score (54.8% vs 50.3%)

Higher Winogrande score (85.1% vs 76.8%)

Detailed Comparison

AI Model Comparison Table
Feature	Mistral NeMo Instruct	Qwen2 72B Instruct

FAQ

Common questions about Mistral NeMo Instruct vs Qwen2 72B Instruct.

Which is better, Mistral NeMo Instruct or Qwen2 72B Instruct?

Qwen2 72B Instruct significantly outperforms across most benchmarks. Mistral NeMo Instruct is made by Mistral AI and Qwen2 72B 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 72B Instruct in benchmarks?

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Qwen2 72B Instruct scores GSM8k: 91.1%, CMMLU: 90.1%, HellaSwag: 87.6%, HumanEval: 86.0%, Winogrande: 85.1%.

What are the context window sizes for Mistral NeMo Instruct and Qwen2 72B Instruct?

Mistral NeMo Instruct supports 128K tokens and Qwen2 72B 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 NeMo Instruct and Qwen2 72B Instruct?

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

Who makes Mistral NeMo Instruct and Qwen2 72B Instruct?

Mistral NeMo Instruct is developed by Mistral AI and Qwen2 72B Instruct is developed by Alibaba Cloud / Qwen Team.