Model Comparison

Mistral NeMo Instruct vs Qwen2.5 VL 72B InstructWhich is better in 2026?

Comparing Mistral NeMo Instruct and Qwen2.5 VL 72B Instruct across benchmarks, pricing, and capabilities.

Verdict: Mistral NeMo Instruct vs Qwen2.5 VL 72B Instruct — which is better?

Mistral NeMo Instruct (by Mistral AI) and Qwen2.5 VL 72B 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.

Choose Mistral NeMo Instruct if…

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

Choose Qwen2.5 VL 72B Instruct if…

  • you want the most recent training data — it shipped Jan 2025

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral NeMo Instruct and Qwen2.5 VL 72B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

60.0B diff

Qwen2.5 VL 72B Instruct has 60.0B more parameters than Mistral NeMo Instruct, making it 500.0% larger.

Mistral AI
Mistral NeMo Instruct
12.0Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
72.0Bparameters
12.0B
Mistral NeMo Instruct
72.0B
Qwen2.5 VL 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 AI
Mistral NeMo Instruct
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct
Input- tokens
Output- tokens
Tue Jul 28 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen2.5 VL 72B Instruct supports multimodal inputs, whereas Mistral NeMo Instruct does not.

Qwen2.5 VL 72B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral NeMo Instruct

Text
Images
Audio
Video

Qwen2.5 VL 72B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral NeMo Instruct is licensed under Apache 2.0, while Qwen2.5 VL 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

Qwen2.5 VL 72B Instruct

tongyi-qianwen

Open weights

Release Timeline

When each model was launched

Mistral NeMo Instruct was released on 2024-07-18, while Qwen2.5 VL 72B Instruct was released on 2025-01-26.

Qwen2.5 VL 72B Instruct is 6 months newer than Mistral NeMo Instruct.

Mistral NeMo Instruct

Jul 18, 2024

2.0 years ago

Qwen2.5 VL 72B Instruct

Jan 26, 2025

1.5 years ago

6mo 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

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

Qwen2.5 VL 72B Instruct

View details

Alibaba Cloud / Qwen Team

Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral NeMo Instruct and Qwen2.5 VL 72B Instruct side-by-side, then vote on the output you prefer.

Mistral NeMo Instruct
✓ Preferred
Qwen2.5 VL 72B Instruct
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral NeMo Instruct
Alibaba Cloud / Qwen Team
Qwen2.5 VL 72B Instruct

FAQ

Common questions about Mistral NeMo Instruct vs Qwen2.5 VL 72B Instruct.

Which is better, Mistral NeMo Instruct or Qwen2.5 VL 72B Instruct?

Mistral NeMo Instruct (Mistral AI) and Qwen2.5 VL 72B Instruct (Alibaba Cloud / Qwen Team) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Mistral NeMo Instruct compare to Qwen2.5 VL 72B Instruct in benchmarks?

Mistral NeMo Instruct scores HellaSwag: 83.5%, Winogrande: 76.8%, TriviaQA: 73.8%, CommonSenseQA: 70.4%, MMLU: 68.0%. Qwen2.5 VL 72B Instruct scores DocVQA: 96.4%, Android Control Low_EM: 93.7%, ChartQA: 89.5%, OCRBench: 88.5%, AI2D: 88.4%.

What are the context window sizes for Mistral NeMo Instruct and Qwen2.5 VL 72B Instruct?

Mistral NeMo Instruct supports 128K tokens and Qwen2.5 VL 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 Qwen2.5 VL 72B Instruct?

Key differences include multimodal support (no vs yes), licensing (Apache 2.0 vs tongyi-qianwen). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral NeMo Instruct and Qwen2.5 VL 72B Instruct?

Mistral NeMo Instruct is developed by Mistral AI and Qwen2.5 VL 72B Instruct is developed by Alibaba Cloud / Qwen Team.

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