The AI arena is free today

Open Superagent

Pixtral Large vs Qwen3.8-27B

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

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

Which is better?

Pixtral Large 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 Large

  • you want predictable pricing at $2.00/M input and $6.00/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 Large
Mistral AI
Qwen3.8-27B
Alibaba Cloud / Qwen Team
Benchmark wins
—
—
Input price
$2.00 / M
— / M
Output price
$6.00 / M
— / M
Context window
128,000
—
Released
Nov 2024
Aug 2026
License
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Pixtral Large 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

96.2B diff

Pixtral Large has 96.2B more parameters than Qwen3.8-27B, making it 346.3% larger.

Mistral AI
Pixtral Large
124.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
124.0B
Pixtral Large
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 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 Large and Qwen3.8-27B support multimodal inputs.

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

Pixtral Large

Text
Images
Audio
Video

Qwen3.8-27B

Text
Images
Audio
Video

License

Usage and distribution terms

Pixtral Large is licensed under Mistral Research License (MRL) for research; Mistral Commercial License for commercial use, while Qwen3.8-27B uses Apache 2.0.

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

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Pixtral Large was released on 2024-11-18, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 21 months newer than Pixtral Large.

Pixtral Large

Nov 18, 2024

1.8 years ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

1.7yr 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 Large and Qwen3.8-27B side-by-side, then vote on the output you prefer.

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

FAQ

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

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

Pixtral Large (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 Large compare to Qwen3.8-27B in benchmarks?

Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%. 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 Large and Qwen3.8-27B?

Pixtral Large 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.

What are the main differences between Pixtral Large and Qwen3.8-27B?

Key differences include licensing (Mistral Research License (MRL) for research; Mistral Commercial License for commercial use vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Pixtral Large and Qwen3.8-27B?

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

Related comparisons