Model Comparison

Mistral Large 3 vs Qwen3 235B A22B

Qwen3 235B A22B shows notably better performance in the majority of benchmarks. Qwen3 235B A22B is 27.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

Mistral Large 3 outperforms in 1 benchmarks (MATH), while Qwen3 235B A22B is better at 3 benchmarks (Arena Hard, MMLU-Redux, MMMLU).

Qwen3 235B A22B shows notably better performance in the majority of benchmarks.

Sat Jun 06 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 235B A22B costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 20.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 50.0x more expensive than Qwen3 235B A22B ($0.10/1M tokens).

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

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

Lowest available price from all providers

Sat Jun 06 2026 • llm-stats.com

Mistral Large 3

Input tokens$2.00

Output tokens$5.00

Best providerMistral

Qwen3 235B A22B

Input tokens$0.10

Output tokens$0.10

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, making it 187.2% larger.

Mistral Large 3

675.0Bparameters

Qwen3 235B A22B

235.0Bparameters

675.0B

Mistral Large 3

235.0B

Qwen3 235B A22B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Qwen3 235B A22B can generate longer responses up to 128,000 tokens, while Mistral Large 3 is limited to 8,192 tokens.

Mistral Large 3

Input128,000 tokens

Output8,192 tokens

Qwen3 235B A22B

Input128,000 tokens

Output128,000 tokens

Sat Jun 06 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Qwen3 235B A22B 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

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

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 was released on 2025-04-29.

Mistral Large 3 is 4 months newer than Qwen3 235B A22B.

Mistral Large 3

Sep 1, 2025

9 months ago

4mo newer

Qwen3 235B A22B

Apr 29, 2025

1.1 years 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 is available from Fireworks, DeepInfra, Novita, Together.

Mistral Large 3

Mistral

Input Price:Input: $2.00/1MOutput Price:Output: $5.00/1M

Qwen3 235B A22B

Fireworks

Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M

Deepinfra

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

Novita

Input Price:Input: $0.20/1MOutput Price:Output: $0.80/1M

Together

Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Mistral Large 3

View details

Mistral AI

Supports multimodal inputs

Higher MATH score (90.4% vs 71.8%)

Qwen3 235B A22B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Higher Arena Hard score (95.6% vs 55.1%)

Higher MMLU-Redux score (87.4% vs 82.0%)

Higher MMMLU score (86.7% vs 74.2%)

Detailed Comparison

AI Model Comparison Table
Feature	Mistral Large 3	Qwen3 235B A22B

FAQ

Common questions about Mistral Large 3 vs Qwen3 235B A22B.

Which is better, Mistral Large 3 or Qwen3 235B A22B?

Qwen3 235B A22B shows notably better performance in the majority of benchmarks. Mistral Large 3 is made by Mistral AI and Qwen3 235B A22B is made by Alibaba Cloud / Qwen Team. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Mistral Large 3 compare to Qwen3 235B A22B in benchmarks?

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 scores Arena Hard: 95.6%, GSM8k: 94.4%, BBH: 88.9%, MMLU: 87.8%, MMLU-Redux: 87.4%.

Is Mistral Large 3 cheaper than Qwen3 235B A22B?

Qwen3 235B A22B is 20.0x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Qwen3 235B A22B costs $0.10/M input and $0.10/M output via fireworks.

What are the context window sizes for Mistral Large 3 and Qwen3 235B A22B?

Mistral Large 3 supports 128K tokens and Qwen3 235B A22B supports 128K 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 3 and Qwen3 235B A22B?

Key differences include input pricing ($2.00 vs $0.10/M), multimodal support (yes vs no). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Large 3 and Qwen3 235B A22B?

Mistral Large 3 is developed by Mistral AI and Qwen3 235B A22B is developed by Alibaba Cloud / Qwen Team.