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Pixtral-12B vs Qwen2.5 VL 7B Instruct

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Mistral AI · Alibaba Cloud / Qwen Team · Updated for 2026

Which is better?

Pixtral-12B outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 3 benchmarks (ChartQA, DocVQA, MMMU). Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Pixtral-12B

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

Choose Qwen2.5 VL 7B Instruct

  • you want the strongest raw capability — it leads on 3 of 3 shared benchmarks
  • you want the most recent training data — it shipped Jan 2025

At a glance

The differences that matter most.

Benchmark wins
0 of 3
3 of 3
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
128,000
Released
Sep 2024
Jan 2025
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

Pixtral-12B outperforms in 0 benchmarks, while Qwen2.5 VL 7B Instruct is better at 3 benchmarks (ChartQA, DocVQA, MMMU).

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks.

Tue Aug 25 2026 • llm-stats.com

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

4.1B diff

Pixtral-12B has 4.1B more parameters than Qwen2.5 VL 7B Instruct, making it 49.6% larger.

Mistral AI
Pixtral-12B
12.4Bparameters
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
8.3Bparameters
12.4B
Pixtral-12B
8.3B
Qwen2.5 VL 7B Instruct

Context Window

Maximum input and output token capacity

Only Pixtral-12B specifies input context (128,000 tokens). Only Pixtral-12B specifies output context (8,192 tokens).

Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen2.5 VL 7B Instruct
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Pixtral-12B and Qwen2.5 VL 7B Instruct support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Pixtral-12B

Text
Images
Audio
Video

Qwen2.5 VL 7B 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.

Pixtral-12B

Apache 2.0

Open weights

Qwen2.5 VL 7B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral-12B was released on 2024-09-17, while Qwen2.5 VL 7B Instruct was released on 2025-01-26.

Qwen2.5 VL 7B Instruct is 4 months newer than Pixtral-12B.

Pixtral-12B

Sep 17, 2024

1.9 years ago

Qwen2.5 VL 7B Instruct

Jan 26, 2025

1.6 years ago

4mo 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

Judge for yourself.

Run your own prompts against Pixtral-12B and Qwen2.5 VL 7B Instruct side-by-side, then vote on the output you prefer.

Pixtral-12B
✓ Preferred
Qwen2.5 VL 7B Instruct
Open in Playground

FAQ

Common questions about Pixtral-12B vs Qwen2.5 VL 7B Instruct.

Which is better, Pixtral-12B or Qwen2.5 VL 7B Instruct?

Qwen2.5 VL 7B Instruct significantly outperforms across most benchmarks. Pixtral-12B is made by Mistral AI and Qwen2.5 VL 7B 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 Pixtral-12B compare to Qwen2.5 VL 7B Instruct in benchmarks?

Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%. Qwen2.5 VL 7B Instruct scores DocVQA: 95.7%, Android Control Low_EM: 91.4%, MobileMiniWob++_SR: 91.4%, ChartQA: 87.3%, OCRBench: 86.4%.

What are the context window sizes for Pixtral-12B and Qwen2.5 VL 7B Instruct?

Pixtral-12B supports 128K tokens and Qwen2.5 VL 7B 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 Pixtral-12B and Qwen2.5 VL 7B Instruct?

Pixtral-12B is developed by Mistral AI and Qwen2.5 VL 7B Instruct is developed by Alibaba Cloud / Qwen Team.