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Pixtral-12B vs Qwen3.8-27B

Comparing Pixtral-12B and Qwen3.8-27B across benchmarks, pricing, and capabilities.

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

Which is better?

Pixtral-12B and Qwen3.8-27B trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

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 Qwen3.8-27B

  • you want the most recent training data — it shipped Aug 2026

At a glance

The differences that matter most.

Pixtral-12B
Mistral AI
Qwen3.8-27B
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$0.15 / M
— / M
Output price
$0.15 / M
— / M
Context window
128,000
—
Released
Sep 2024
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Pixtral-12B and Qwen3.8-27Bdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Model Size

Parameter count comparison

15.4B diff

Qwen3.8-27B has 15.4B more parameters than Pixtral-12B, making it 124.0% larger.

Mistral AI
Pixtral-12B
12.4Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
12.4B
Pixtral-12B
27.8B
Qwen3.8-27B

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
Qwen3.8-27B
Input- tokens
Output- tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Pixtral-12B and Qwen3.8-27B support multimodal inputs.

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

Pixtral-12B

Text
Images
Audio
Video

Qwen3.8-27B

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

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral-12B was released on 2024-09-17, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 23 months newer than Pixtral-12B.

Pixtral-12B

Sep 17, 2024

1.9 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.9yr 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 Qwen3.8-27B side-by-side, then vote on the output you prefer.

Pixtral-12B
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Pixtral-12B vs Qwen3.8-27B.

Which is better, Pixtral-12B or Qwen3.8-27B?

Pixtral-12B (Mistral AI) and Qwen3.8-27B (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 Pixtral-12B compare to Qwen3.8-27B in benchmarks?

Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%. Qwen3.8-27B scores MathVision: 94.6%, OmniDocBench 1.5: 91.1%, LiveCodeBench v6: 90.3%, CharXiv-R: 90.2%, GPQA: 89.2%.

What are the context window sizes for Pixtral-12B and Qwen3.8-27B?

Pixtral-12B supports 128K tokens and Qwen3.8-27B 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 Qwen3.8-27B?

Pixtral-12B is developed by Mistral AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.

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