Model Comparison

Mistral Large 3 vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Qwen3 32B is 18.3x cheaper per token.

Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

Mistral Large 3 outperforms in 0 benchmarks, while Qwen3 32B is better at 1 benchmark (Arena Hard).

Qwen3 32B significantly outperforms across most benchmarks.

Wed Apr 15 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Mistral Large 3 ($2.00/1M tokens) is 20.0x more expensive than Qwen3 32B ($0.10/1M tokens).

For output processing, Mistral Large 3 ($5.00/1M tokens) is 16.7x more expensive than Qwen3 32B ($0.30/1M tokens).

In conclusion, Mistral Large 3 is more expensive than Qwen3 32B.*

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

Lowest available price from all providers
Wed Apr 15 2026 • llm-stats.com
Mistral AI
Mistral Large 3
Input tokens$2.00
Output tokens$5.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
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Model Size

Parameter count comparison

642.2B diff

Mistral Large 3 has 642.2B more parameters than Qwen3 32B, making it 1957.9% larger.

Mistral AI
Mistral Large 3
675.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
675.0B
Mistral Large 3
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Qwen3 32B can generate longer responses up to 128,000 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 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 15 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Large 3 supports multimodal inputs, whereas Qwen3 32B 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 32B

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 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Mistral Large 3 was released on 2025-09-01, while Qwen3 32B was released on 2025-04-29.

Mistral Large 3 is 4 months newer than Qwen3 32B.

Mistral Large 3

Sep 1, 2025

7 months ago

4mo newer
Qwen3 32B

Apr 29, 2025

11 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 32B is available from DeepInfra, Novita, Sambanova.

Mistral Large 3

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

Qwen3 32B

deepinfra logo
Deepinfra
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
novita logo
Novita
Input Price:Input: $0.10/1MOutput Price:Output: $0.44/1M
sambanova logo
Sambanova
Input Price:Input: $0.40/1MOutput Price:Output: $0.80/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Supports multimodal inputs
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens
Less expensive output tokens
Higher Arena Hard score (93.8% vs 55.1%)

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Mistral Large 3
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Mistral Large 3 vs Qwen3 32B

Qwen3 32B significantly outperforms across most benchmarks. Mistral Large 3 is made by Mistral AI and Qwen3 32B 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 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Qwen3 32B is 20.0x cheaper for input tokens. Mistral Large 3 costs $2.00/M input and $5.00/M output via mistral. Qwen3 32B costs $0.10/M input and $0.30/M output via deepinfra.
Mistral Large 3 supports 128K tokens and Qwen3 32B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
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.
Mistral Large 3 is developed by Mistral AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.