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Mistral Large 3 (675B Base) vs Qwen3.5-27B

Qwen3.5-27B leads the LLM Stats Score 33.8 to 8.8.

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

Which is better?

Qwen3.5-27B leads the overall LLM Stats Score 33.8 to 8.8, ranking #109 overall.

In the 2 individual benchmarks reported for both models, Qwen3.5-27B wins 2; this is a narrower head-to-head signal than the composite indexes.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Mistral Large 3 (675B Base)

  • you are already invested in the Mistral AI ecosystem

Choose Qwen3.5-27B

  • overall performance matters — it scores 33.8 and ranks #109 on LLM Stats
  • your work emphasizes reasoning — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 2 of 2 exact shared results
  • you want the most recent training data — it shipped Feb 2026

At a glance

The differences that matter most.

Core performance indexes
8.8
#291
33.8
#109
9.0
#284
34.5
#98
1.2
#247
16.6
#138
Cost, coverage & limits
Benchmark wins
0 of 2
2 of 2
Input price
— / M
$0.26 / M
Output price
— / M
$2.40 / M
Context window
—
262,144

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 3 (675B Base)
Qwen3.5-27B
18.8#183
35.0#45
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

5 reported for Mistral Large 3 (675B Base) · 81 for Qwen3.5-27B

2 shared

Mistral Large 3 (675B Base) outperforms in 0 benchmarks, while Qwen3.5-27B is better at 2 benchmarks (GPQA, MMMLU).

Qwen3.5-27B significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

648.0B diff

Mistral Large 3 (675B Base) has 648.0B more parameters than Qwen3.5-27B, making it 2400.0% larger.

Mistral AI
Mistral Large 3 (675B Base)
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3.5-27B
27.0Bparameters
675.0B
Mistral Large 3 (675B Base)
27.0B
Qwen3.5-27B

Context Window

Maximum input and output token capacity

Only Qwen3.5-27B specifies input context (262,144 tokens). Only Qwen3.5-27B specifies output context (262,144 tokens).

Mistral AI
Mistral Large 3 (675B Base)
Input- tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.5-27B
Input262,144 tokens
Output262,144 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 3 (675B Base) and Qwen3.5-27B support multimodal inputs.

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

Mistral Large 3 (675B Base)

Text
Images
Audio
Video

Qwen3.5-27B

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 (675B Base)

Apache 2.0

Open weights

Qwen3.5-27B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 (675B Base) was released on 2025-12-04, while Qwen3.5-27B was released on 2026-02-24.

Qwen3.5-27B is 3 months newer than Mistral Large 3 (675B Base).

Mistral Large 3 (675B Base)

Dec 4, 2025

10 months ago

Qwen3.5-27B

Feb 24, 2026

7 months ago

2mo 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?

Judge for yourself.

Run your own prompts against Mistral Large 3 (675B Base) and Qwen3.5-27B side-by-side, then vote on the output you prefer.

Mistral Large 3 (675B Base)
✓ Preferred
Qwen3.5-27B
Open in Playground

FAQ

Common questions about Mistral Large 3 (675B Base) vs Qwen3.5-27B.

Which is better, Mistral Large 3 (675B Base) or Qwen3.5-27B?

Qwen3.5-27B leads the LLM Stats Score 33.8 to 8.8. Mistral Large 3 (675B Base) is made by Mistral AI and Qwen3.5-27B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Mistral Large 3 (675B Base) compare to Qwen3.5-27B in benchmarks?

Mistral Large 3 (675B Base) scores MMMLU: 85.5%, AMC_2022_23: 52.0%, GPQA: 43.9%, LiveCodeBench: 34.4%, SimpleQA: 23.8%. Qwen3.5-27B scores CountBench: 97.8%, VLMsAreBlind: 96.9%, IFEval: 95.0%, V*: 93.7%, MMLU-Redux: 93.2%.

What are the context window sizes for Mistral Large 3 (675B Base) and Qwen3.5-27B?

Mistral Large 3 (675B Base) supports an unknown number of tokens and Qwen3.5-27B supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Large 3 (675B Base) and Qwen3.5-27B?

Key differences include LLM Stats Score (8.8 vs 33.8). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 (675B Base) and Qwen3.5-27B?

Mistral Large 3 (675B Base) is developed by Mistral AI and Qwen3.5-27B is developed by Alibaba Cloud / Qwen Team.