Model Comparison

Devstral Small 1.1 vs Qwen2.5-Coder 32B Instruct

Comparing Devstral Small 1.1 and Qwen2.5-Coder 32B Instruct 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 Qwen2.5-Coder 32B Instruct 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

Qwen2.5-Coder 32B Instruct costs less

For input processing, Devstral Small 1.1 ($0.10/1M tokens) is 1.1x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

For output processing, Devstral Small 1.1 ($0.30/1M tokens) is 3.3x more expensive than Qwen2.5-Coder 32B Instruct ($0.09/1M tokens).

In conclusion, Devstral Small 1.1 is more expensive than Qwen2.5-Coder 32B Instruct.*

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

Lowest available price from all providers

Wed Apr 22 2026 • llm-stats.com

Devstral Small 1.1

Input tokens$0.10

Output tokens$0.30

Best providerMistral

Qwen2.5-Coder 32B Instruct

Input tokens$0.09

Output tokens$0.09

Best providerLambda

Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

8.0B diff

Qwen2.5-Coder 32B Instruct has 8.0B more parameters than Devstral Small 1.1, making it 33.3% larger.

Devstral Small 1.1

24.0Bparameters

Qwen2.5-Coder 32B Instruct

32.0Bparameters

24.0B

Devstral Small 1.1

32.0B

Qwen2.5-Coder 32B Instruct

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.

Devstral Small 1.1

Input128,000 tokens

Output128,000 tokens

Qwen2.5-Coder 32B Instruct

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

Qwen2.5-Coder 32B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Devstral Small 1.1 was released on 2025-07-11, while Qwen2.5-Coder 32B Instruct was released on 2024-09-19.

Devstral Small 1.1 is 10 months newer than Qwen2.5-Coder 32B Instruct.

Devstral Small 1.1

Jul 11, 2025

9 months ago

9mo newer

Qwen2.5-Coder 32B Instruct

Sep 19, 2024

1.6 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

Devstral Small 1.1 is available from Mistral AI. Qwen2.5-Coder 32B Instruct is available from Lambda, DeepInfra, Hyperbolic, Fireworks.

Devstral Small 1.1

Mistral

Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M

Qwen2.5-Coder 32B Instruct

Lambda

Input Price:Input: $0.09/1MOutput Price:Output: $0.09/1M

Deepinfra

Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M

Hyperbolic

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

Fireworks

Input Price:Input: $0.89/1MOutput Price:Output: $0.89/1M

* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Qwen2.5-Coder 32B Instruct

View details

Alibaba Cloud / Qwen Team

Less expensive input tokens

Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature	Devstral Small 1.1	Qwen2.5-Coder 32B Instruct

FAQ

Common questions about Devstral Small 1.1 vs Qwen2.5-Coder 32B Instruct

Devstral Small 1.1 (Mistral AI) and Qwen2.5-Coder 32B Instruct (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%. Qwen2.5-Coder 32B Instruct scores HumanEval: 92.7%, GSM8k: 91.1%, MBPP: 90.2%, HellaSwag: 83.0%, Winogrande: 80.8%.

Qwen2.5-Coder 32B Instruct is 1.1x cheaper for input tokens. Devstral Small 1.1 costs $0.10/M input and $0.30/M output via mistral. Qwen2.5-Coder 32B Instruct costs $0.09/M input and $0.09/M output via lambda.

Devstral Small 1.1 supports 128K tokens and Qwen2.5-Coder 32B Instruct supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

Key differences include input pricing ($0.10 vs $0.09/M). See the full comparison above for benchmark-by-benchmark results.

Devstral Small 1.1 is developed by Mistral AI and Qwen2.5-Coder 32B Instruct is developed by Alibaba Cloud / Qwen Team.

Devstral Small 1.1 vs Qwen2.5-Coder 32B Instruct

Performance Benchmarks

Arena Performance

Pricing Analysis

Model Size

Context Window

License

Release Timeline

Knowledge Cutoff

Provider Availability

Devstral Small 1.1

Qwen2.5-Coder 32B Instruct

Outputs Comparison

Key Takeaways

Devstral Small 1.1

Qwen2.5-Coder 32B Instruct

Detailed Comparison

FAQ

Which is better, Devstral Small 1.1 or Qwen2.5-Coder 32B Instruct?

How does Devstral Small 1.1 compare to Qwen2.5-Coder 32B Instruct in benchmarks?

Is Devstral Small 1.1 cheaper than Qwen2.5-Coder 32B Instruct?

What are the context window sizes for Devstral Small 1.1 and Qwen2.5-Coder 32B Instruct?

What are the main differences between Devstral Small 1.1 and Qwen2.5-Coder 32B Instruct?

Who makes Devstral Small 1.1 and Qwen2.5-Coder 32B Instruct?