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Mistral Large 4 vs Qwen3 Max Thinking

Mistral Large 4 leads the LLM Stats Score 46.2 to 32.8. Mistral Large 4 is 2.3x cheaper per token.

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

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 46.2 to 32.8, ranking #34 overall.

On price, Mistral Large 4 is roughly 2.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Large 4 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

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

Choose Mistral Large 4

  • overall performance matters — it scores 46.2 and ranks #34 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • cost matters — it's about 2.3x cheaper per token
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Oct 2026

Choose Qwen3 Max Thinking

  • you want predictable pricing at $1.20/M input and $6.00/M output

At a glance

The differences that matter most.

Mistral Large 4
Mistral AI
Qwen3 Max Thinking
Alibaba Cloud / Qwen Team
Core performance indexes
LLM Stats Score
46.2
#34
32.8
#117
Reasoning
44.0
#43
33.9
#104
Coding
35.8
#27
16.2
#140
Agents
34.3
#26
9.9
#133
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.68 / M
$1.20 / M
Output price
$2.09 / M
$6.00 / M
Context window
1,000,000
256,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Mistral Large 4
Qwen3 Max Thinking
Tool use
27.1#26
3.2#175
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

18 reported for Mistral Large 4 · 34 for Qwen3 Max Thinking

No common benchmarks found

Mistral Large 4 and Qwen3 Max Thinkingdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Mistral Large 4 costs less

For input processing, Mistral Large 4 ($0.68/1M tokens) is 1.8x cheaper than Qwen3 Max Thinking ($1.20/1M tokens).

For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.9x cheaper than Qwen3 Max Thinking ($6.00/1M tokens).

In conclusion, Qwen3 Max Thinking is more expensive than Mistral Large 4.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Oct 08 2026 • llm-stats.com
Mistral AI
Mistral Large 4
Input tokens$0.68
Output tokens$2.09
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input tokens$1.20
Output tokens$6.00
Best providerDeepinfra
Notice missing or incorrect data?

Model Size

Parameter count comparison

50.0B diff

Mistral Large 4 has 50.0B more parameters than Qwen3 Max Thinking, making it 5.0% larger.

Mistral AI
Mistral Large 4
1.1Tparameters
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
1.0Tparameters
1050.0B
Mistral Large 4
1000.0B
Qwen3 Max Thinking

Context Window

Maximum input and output token capacity

Mistral Large 4 accepts 1,000,000 input tokens compared to Qwen3 Max Thinking's 256,000 tokens. Only Qwen3 Max Thinking specifies output context (256,000 tokens).

Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Alibaba Cloud / Qwen Team
Qwen3 Max Thinking
Input256,000 tokens
Output256,000 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas Qwen3 Max Thinking does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 4

Text
Images
Audio
Video

Qwen3 Max Thinking

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Mistral Large 4

Proprietary

Closed source

Qwen3 Max Thinking

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 4 was released on 2026-10-06, while Qwen3 Max Thinking was released on 2026-02-13.

Mistral Large 4 is 8 months newer than Qwen3 Max Thinking.

Mistral Large 4

Oct 6, 2026

2 days ago

7mo newer
Qwen3 Max Thinking

Feb 13, 2026

7 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

Provider Availability

Mistral Large 4 is available from Mistral AI. Qwen3 Max Thinking is available from DeepInfra.

Mistral Large 4

mistral logo
Mistral
Input Price:Input: $0.68/1MOutput Price:Output: $2.09/1M

Qwen3 Max Thinking

deepinfra logo
Deepinfra
Input Price:Input: $1.20/1MOutput Price:Output: $6.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against Mistral Large 4 and Qwen3 Max Thinking side-by-side, then vote on the output you prefer.

Mistral Large 4
✓ Preferred
Qwen3 Max Thinking
Open in Playground

FAQ

Common questions about Mistral Large 4 vs Qwen3 Max Thinking.

Which is better, Mistral Large 4 or Qwen3 Max Thinking?

Mistral Large 4 leads the LLM Stats Score 46.2 to 32.8. Mistral Large 4 is made by Mistral AI and Qwen3 Max Thinking 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 Max Thinking 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 Max Thinking scores C-Eval: 93.7%, IFEval: 93.4%, AIME 2026: 93.3%, MMLU-Redux: 92.8%, GPQA: 87.4%.

Is Mistral Large 4 cheaper than Qwen3 Max Thinking?

Mistral Large 4 is 1.8x cheaper for input tokens. Mistral Large 4 costs $0.68/M input and $2.09/M output via mistral. Qwen3 Max Thinking costs $1.20/M input and $6.00/M output via deepinfra.

What are the context window sizes for Mistral Large 4 and Qwen3 Max Thinking?

Mistral Large 4 supports 1.0M tokens and Qwen3 Max Thinking supports 256K 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 Max Thinking?

Key differences include LLM Stats Score (46.2 vs 32.8), context window (1.0M vs 256K), input pricing ($0.68 vs $1.20/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 4 and Qwen3 Max Thinking?

Mistral Large 4 is developed by Mistral AI and Qwen3 Max Thinking is developed by Alibaba Cloud / Qwen Team.

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