Model Comparison

Devstral Small 1.1 vs Qwen3 32B

Comparing Devstral Small 1.1 and Qwen3 32B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Small 1.1 and Qwen3 32B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Qwen3 32B costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) costs the same as Qwen3 32B ($0.10/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) costs the same as Qwen3 32B ($0.30/1M tokens).

In conclusion, Devstral Small 1.1 and Qwen3 32B cost the same.*

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

Lowest available price from all providers
Wed Apr 22 2026 • llm-stats.com
Mistral AI
Devstral Small 1.1
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 32B
Input tokens$0.10
Output tokens$0.30
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

8.8B diff

Qwen3 32B has 8.8B more parameters than Devstral Small 1.1, making it 36.7% larger.

Mistral AI
Devstral Small 1.1
24.0Bparameters
Alibaba Cloud / Qwen Team
Qwen3 32B
32.8Bparameters
24.0B
Devstral Small 1.1
32.8B
Qwen3 32B

Context Window

Maximum input and output token capacity

Both models have the same input context window of 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Mistral AI
Devstral Small 1.1
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3 32B
Input128,000 tokens
Output128,000 tokens
Wed Apr 22 2026 • llm-stats.com

License

Usage and distribution terms

Both models are licensed under Apache 2.0.

Both models share the same licensing terms, providing consistent usage rights.

Devstral Small 1.1

Apache 2.0

Open weights

Qwen3 32B

Apache 2.0

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Qwen3 32B was released on 2025-04-29.

Devstral Small 1.1 is 2 months newer than Qwen3 32B.

Devstral Small 1.1

Jul 11, 2025

9 months ago

2mo 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

Devstral Small 1.1 is available from Mistral AI. Qwen3 32B is available from DeepInfra, Novita, Sambanova.

Devstral Small 1.1

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

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

Mistral AI
Alibaba Cloud / Qwen Team

Qwen3 32B

View details

Alibaba Cloud / Qwen Team

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Small 1.1
Alibaba Cloud / Qwen Team
Qwen3 32B

FAQ

Common questions about Devstral Small 1.1 vs Qwen3 32B

Devstral Small 1.1 (Mistral AI) and Qwen3 32B (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.
Devstral Small 1.1 scores SWE-Bench Verified: 53.6%. Qwen3 32B scores Arena Hard: 93.8%, AIME 2024: 81.4%, LiveBench: 74.9%, MultiLF: 73.0%, AIME 2025: 72.9%.
Both models cost $0.10 per million input tokens.
Devstral Small 1.1 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.
Devstral Small 1.1 is developed by Mistral AI and Qwen3 32B is developed by Alibaba Cloud / Qwen Team.