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Mistral Large 4 vs Qwen3.8-Flash-Next

Mistral Large 4 and Qwen3.8-Flash-Next are closely matched at 46.2 and 48.3 on the LLM Stats Score.

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

Which is better?

Mistral Large 4 and Qwen3.8-Flash-Next are closely matched on the overall LLM Stats Score at 46.2 and 48.3.

In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; 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 4

  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3.8-Flash-Next

  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Core performance indexes
46.2
#34
48.3
#27
44.0
#43
48.4
#20
35.8
#27
34.1
#36
34.3
#26
33.2
#29
Cost, coverage & limits
Benchmark wins
1 of 1
0 of 1
Input price
$0.68 / M
— / M
Output price
$2.09 / M
— / M
Context window
1,000,000
—

Capability indexes

Additional strengths measured across groups of related public benchmarks

3 shared
Index
Mistral Large 4
Qwen3.8-Flash-Next
1.1#187
33.7#17
27.1#26
29.1#13
1.7#160
35.3#12
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 22 for Qwen3.8-Flash-Next

1 shared

Mistral Large 4 outperforms in 1 benchmarks (DeepSWE 1.1), while Qwen3.8-Flash-Next is better at 0 benchmarks.

Mistral Large 4 significantly outperforms across most benchmarks.

Mon Oct 12 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

925.0B diff

Mistral Large 4 has 925.0B more parameters than Qwen3.8-Flash-Next, making it 740.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
125.0Bparameters
1050.0B
Mistral Large 4
125.0B
Qwen3.8-Flash-Next

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3.8-Flash-Next
Input- tokens
Output- tokens
Mon Oct 12 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Mistral Large 4 and Qwen3.8-Flash-Next support multimodal inputs.

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

Mistral Large 4

Text
Images
Audio
Video

Qwen3.8-Flash-Next

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Large 4 is licensed under a proprietary license, while Qwen3.8-Flash-Next uses Qwen Community License 1.0.

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

Mistral Large 4

Proprietary

Closed source

Qwen3.8-Flash-Next

Qwen Community License 1.0

Open weights

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Qwen3.8-Flash-Next was released on 2026-08-26.

Mistral Large 4 is 1 month newer than Qwen3.8-Flash-Next.

Mistral Large 4

Oct 6, 2026

6 days ago

1mo newer
Qwen3.8-Flash-Next

Aug 26, 2026

1 months ago

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 4 and Qwen3.8-Flash-Next side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Qwen3.8-Flash-Next
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Qwen3.8-Flash-Next.

Which is better, Mistral Large 4 or Qwen3.8-Flash-Next?

Mistral Large 4 and Qwen3.8-Flash-Next are closely matched on the LLM Stats Score at 46.2 and 48.3. Mistral Large 4 is made by Mistral AI and Qwen3.8-Flash-Next 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 4 compare to Qwen3.8-Flash-Next in benchmarks?

Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%. Qwen3.8-Flash-Next scores MathVision: 95.7%, LiveCodeBench v6: 91.9%, GPQA: 91.7%, CharXiv-R: 90.6%, RealWorldQA: 88.5%.

What are the context window sizes for Mistral Large 4 and Qwen3.8-Flash-Next?

Mistral Large 4 supports 1.0M tokens and Qwen3.8-Flash-Next 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 Mistral Large 4 and Qwen3.8-Flash-Next?

Key differences include LLM Stats Score (46.2 vs 48.3), licensing (Proprietary vs Qwen Community License 1.0). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Qwen3.8-Flash-Next?

Mistral Large 4 is developed by Mistral AI and Qwen3.8-Flash-Next is developed by Alibaba Cloud / Qwen Team.