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Mistral Large 2 vs Qwen3 Max

Comparing Mistral Large 2 and Qwen3 Max across benchmarks, pricing, and capabilities.

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

Which is better?

Mistral Large 2 and Qwen3 Max trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Qwen3 Max is roughly 1.8x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Qwen3 Max also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose Mistral Large 2

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

Choose Qwen3 Max

  • cost matters — it's about 1.8x cheaper per token
  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Dec 2025

At a glance

The differences that matter most.

Benchmark wins
Input price
$2.00 / M
$0.50 / M
Output price
$6.00 / M
$5.00 / M
Context window
128,000
256,000
Released
Jul 2024
Dec 2025
License
Mistral Research License
Proprietary

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Large 2 and Qwen3 Maxdon'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

Pricing Analysis

Price comparison per million tokens

Qwen3 Max costs less

For input processing, Mistral Large 2 ($2.00/1M tokens) is 4.0x more expensive than Qwen3 Max ($0.50/1M tokens).

For output processing, Mistral Large 2 ($6.00/1M tokens) is 1.2x more expensive than Qwen3 Max ($5.00/1M tokens).

In conclusion, Mistral Large 2 is more expensive than Qwen3 Max.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Mistral AI
Mistral Large 2
Input tokens$2.00
Output tokens$6.00
Best providerGoogle
Alibaba Cloud / Qwen Team
Qwen3 Max
Input tokens$0.50
Output tokens$5.00
Best providerNovita
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

877.0B diff

Qwen3 Max has 877.0B more parameters than Mistral Large 2, making it 713.0% larger.

Mistral AI
Mistral Large 2
123.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 Max
1.0Tparameters
123.0B
Mistral Large 2
1000.0B
Qwen3 Max

Context Window

Maximum input and output token capacity

Qwen3 Max accepts 256,000 input tokens compared to Mistral Large 2's 128,000 tokens. Qwen3 Max can generate longer responses up to 131,072 tokens, while Mistral Large 2 is limited to 128,000 tokens.

Mistral AI
Mistral Large 2
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 Max
Input256,000 tokens
Output131,072 tokens
Tue Aug 25 2026 • llm-stats.com

License

Usage and distribution terms

Mistral Large 2 is licensed under Mistral Research License, while Qwen3 Max uses a proprietary license.

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

Mistral Large 2

Mistral Research License

Open weights

Qwen3 Max

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Large 2 was released on 2024-07-24, while Qwen3 Max was released on 2025-12-15.

Qwen3 Max is 17 months newer than Mistral Large 2.

Mistral Large 2

Jul 24, 2024

2.1 years ago

Qwen3 Max

Dec 15, 2025

8 months ago

1.4yr 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

Provider Availability

Mistral Large 2 is available from Google, Mistral AI. Qwen3 Max is available from Novita.

Mistral Large 2

google logo
Google
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M

Qwen3 Max

novita logo
Novita
Input Price:Input: $0.50/1MOutput Price:Output: $5.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Mistral Large 2 and Qwen3 Max side-by-side, then vote on the output you prefer.

Mistral Large 2
✓ Preferred
Qwen3 Max
Open in Playground

FAQ

Common questions about Mistral Large 2 vs Qwen3 Max.

Which is better, Mistral Large 2 or Qwen3 Max?

Mistral Large 2 (Mistral AI) and Qwen3 Max (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 2 compare to Qwen3 Max in benchmarks?

Mistral Large 2 scores GSM8k: 93.0%, HumanEval: 92.0%, MT-Bench: 86.3%, MMLU: 84.0%, MMLU French: 82.8%. Qwen3 Max scores AIME 2025: 81.6%, t2-bench: 74.8%, SWE-Bench Verified: 69.6%, LiveCodeBench v6: 69.0%, SuperGPQA: 65.1%.

Is Mistral Large 2 cheaper than Qwen3 Max?

Qwen3 Max is 4.0x cheaper for input tokens. Mistral Large 2 costs $2.00/M input and $6.00/M output via google. Qwen3 Max costs $0.50/M input and $5.00/M output via novita.

What are the context window sizes for Mistral Large 2 and Qwen3 Max?

Mistral Large 2 supports 128K tokens and Qwen3 Max 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 2 and Qwen3 Max?

Key differences include context window (128K vs 256K), input pricing ($2.00 vs $0.50/M), licensing (Mistral Research License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 2 and Qwen3 Max?

Mistral Large 2 is developed by Mistral AI and Qwen3 Max is developed by Alibaba Cloud / Qwen Team.