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Mistral Large 3 vs Qwen3.8-27B

Comparing Mistral Large 3 and Qwen3.8-27B across benchmarks, pricing, and capabilities.

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

Which is better?

Mistral Large 3 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 Mistral Large 3

  • you want predictable pricing at $2.00/M input and $5.00/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.

Benchmark wins
Input price
$2.00 / M
— / M
Output price
$5.00 / M
— / M
Context window
128,000
Released
Sep 2025
Aug 2026
License
Apache 2.0
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 3 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

647.2B diff

Mistral Large 3 has 647.2B more parameters than Qwen3.8-27B, making it 2329.7% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.8-27B
27.8Bparameters
675.0B
Mistral Large 3
27.8B
Qwen3.8-27B

Context Window

Maximum input and output token capacity

Only Mistral Large 3 specifies input context (128,000 tokens). Only Mistral Large 3 specifies output context (8,192 tokens).

Mistral AI
Mistral Large 3
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 Mistral Large 3 and Qwen3.8-27B support multimodal inputs.

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

Mistral Large 3

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.

Mistral Large 3

Apache 2.0

Open weights

Qwen3.8-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen3.8-27B was released on 2026-08-14.

Qwen3.8-27B is 12 months newer than Mistral Large 3.

Mistral Large 3

Sep 1, 2025

11 months ago

Qwen3.8-27B

Aug 14, 2026

1 weeks ago

11mo 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 Mistral Large 3 and Qwen3.8-27B side-by-side, then vote on the output you prefer.

Mistral Large 3
✓ Preferred
Qwen3.8-27B
Open in Playground

FAQ

Common questions about Mistral Large 3 vs Qwen3.8-27B.

Which is better, Mistral Large 3 or Qwen3.8-27B?

Mistral Large 3 (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 Mistral Large 3 compare to Qwen3.8-27B in benchmarks?

Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. 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 Mistral Large 3 and Qwen3.8-27B?

Mistral Large 3 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 Mistral Large 3 and Qwen3.8-27B?

Mistral Large 3 is developed by Mistral AI and Qwen3.8-27B is developed by Alibaba Cloud / Qwen Team.