Model Comparison

Mistral Large 3 vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Qwen3-235B-A22B-Thinking-2507 is 2.8x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 outperforms in 0 benchmarks, while Qwen3-235B-A22B-Thinking-2507 is better at 1 benchmark (MMLU-Redux).

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks.

Fri Apr 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3-235B-A22B-Thinking-2507 costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 6.7x more expensive than Qwen3-235B-A22B-Thinking-2507 ($0.30/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 1.7x more expensive than Qwen3-235B-A22B-Thinking-2507 ($3.00/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Qwen3-235B-A22B-Thinking-2507.*

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

Lowest available price from all providers
Fri Apr 17 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input tokens$0.30
Output tokens$3.00
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

440.0B diff

Mistral Large 3 has 440.0B more parameters than Qwen3-235B-A22B-Thinking-2507, making it 187.2% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
235.0Bparameters
675.0B
Mistral Large 3
235.0B
Qwen3-235B-A22B-Thinking-2507

Context Window

Maximum input and output token capacity

Qwen3-235B-A22B-Thinking-2507 accepts 262,144 input tokens compared to Mistral Large 3's 128,000 tokens. Qwen3-235B-A22B-Thinking-2507 can generate longer responses up to 131,072 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Mistral AI
Mistral Large 3
Input128,000 tokens
Output8,192 tokens
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507
Input262,144 tokens
Output131,072 tokens
Fri Apr 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Qwen3-235B-A22B-Thinking-2507 does not.

Mistral Large 3 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Mistral Large 3

Text
Images
Audio
Video

Qwen3-235B-A22B-Thinking-2507

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

Apache 2.0

Open weights

Qwen3-235B-A22B-Thinking-2507

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen3-235B-A22B-Thinking-2507 was released on 2025-07-25.

Mistral Large 3 is 1 month newer than Qwen3-235B-A22B-Thinking-2507.

Mistral Large 3

Sep 1, 2025

7 months ago

1mo newer
Qwen3-235B-A22B-Thinking-2507

Jul 25, 2025

8 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 3 is available from Mistral AI. Qwen3-235B-A22B-Thinking-2507 is available from Fireworks, Novita.

Mistral Large 3

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M

Qwen3-235B-A22B-Thinking-2507

fireworks logo
Fireworks
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $3.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Supports multimodal inputs
Alibaba Cloud / Qwen Team
Larger context window (262,144 tokens)
Less expensive input tokens
Less expensive output tokens
Higher MMLU-Redux score (93.8% vs 82.0%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
Alibaba Cloud / Qwen Team
Qwen3-235B-A22B-Thinking-2507

FAQ

Common questions about Mistral Large 3 vs Qwen3-235B-A22B-Thinking-2507

Qwen3-235B-A22B-Thinking-2507 significantly outperforms across most benchmarks. Mistral Large 3 is made by Mistral AI and Qwen3-235B-A22B-Thinking-2507 is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
Mistral Large 3 scores MATH: 90.4%, MM-MT-Bench: 84.9%, MMLU-Redux: 82.0%, TriviaQA: 74.9%, MMMLU: 74.2%. Qwen3-235B-A22B-Thinking-2507 scores MMLU-Redux: 93.8%, AIME 2025: 92.3%, WritingBench: 88.3%, IFEval: 87.8%, Creative Writing v3: 86.1%.
Qwen3-235B-A22B-Thinking-2507 is 6.7x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Qwen3-235B-A22B-Thinking-2507 costs $0.30/M input and $3.00/M output via fireworks.
Mistral Large 3 supports 128K tokens and Qwen3-235B-A22B-Thinking-2507 supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 262K), input pricing ($2.00 vs $0.30/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.
Mistral Large 3 is developed by Mistral AI and Qwen3-235B-A22B-Thinking-2507 is developed by Alibaba Cloud / Qwen Team.