Mistral Large 4 vs Qwen3 Max
Mistral Large 4 leads the LLM Stats Score 46.2 to 21.7. Mistral Large 4 is 1.6x 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 21.7, ranking #34 overall.
On price, Mistral Large 4 is roughly 1.6x 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 1.6x 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
- you want predictable pricing at $0.50/M input and $5.00/M output
At a glance
The differences that matter most.
Individual benchmarks
18 reported for Mistral Large 4 · 6 for Qwen3 Max
Mistral Large 4 and Qwen3 Maxdon'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
For input processing, Mistral Large 4 ($0.68/1M tokens) is 1.4x more expensive than Qwen3 Max ($0.50/1M tokens).
For output processing, Mistral Large 4 ($2.09/1M tokens) is 2.4x cheaper than Qwen3 Max ($5.00/1M tokens).
In conclusion, Qwen3 Max is more expensive than Mistral Large 4.*
* Using a 3:1 ratio of input to output tokens
Model Size
Parameter count comparison
Mistral Large 4 has 50.0B more parameters than Qwen3 Max, making it 5.0% larger.
Context Window
Maximum input and output token capacity
Mistral Large 4 accepts 1,000,000 input tokens compared to Qwen3 Max's 256,000 tokens. Only Qwen3 Max specifies output context (131,072 tokens).
Input capabilities
Documented input modalities across available providers
Mistral Large 4 supports multimodal inputs, whereas Qwen3 Max 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
Qwen3 Max
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Mistral Large 4 was released on 2026-10-06, while Qwen3 Max was released on 2025-12-15.
Mistral Large 4 is 10 months newer than Qwen3 Max.
Oct 6, 2026
3 days ago
9mo newerDec 15, 2025
9 months ago
Knowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Mistral Large 4 is available from Mistral AI. Qwen3 Max is available from Novita, DeepInfra.
Mistral Large 4
Qwen3 Max
Outputs Comparison
Judge for yourself.
Run your own prompts against Mistral Large 4 and Qwen3 Max side-by-side, then vote on the output you prefer.
FAQ
Common questions about Mistral Large 4 vs Qwen3 Max.