Model Comparison

Devstral Medium vs Qwen3-Coder

Comparing Devstral Medium and Qwen3-Coder across benchmarks, pricing, and capabilities.

Want to compare interactively?Try the playground

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and Qwen3-Coder 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-Coder costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 2.2x more expensive than Qwen3-Coder ($0.18/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 11.1x more expensive than Qwen3-Coder ($0.18/1M tokens).

In conclusion, Devstral Medium is more expensive than Qwen3-Coder.*

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input tokens$0.18
Output tokens$0.18
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3-Coder accepts 256,000 input tokens compared to Devstral Medium's 128,000 tokens. Qwen3-Coder can generate longer responses up to 256,000 tokens, while Devstral Medium is limited to 128,000 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Alibaba Cloud / Qwen Team
Qwen3-Coder
Input256,000 tokens
Output256,000 tokens
Thu Apr 16 2026 • llm-stats.com

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, while Qwen3-Coder uses Apache 2.0.

License differences may affect how you can use these models in commercial or open-source projects.

Devstral Medium

Proprietary

Closed source

Qwen3-Coder

Apache 2.0

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Qwen3-Coder was released on 2025-01-01.

Devstral Medium is 6 months newer than Qwen3-Coder.

Devstral Medium

Jul 10, 2025

9 months ago

6mo newer
Qwen3-Coder

Jan 1, 2025

1.3 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 Medium is available from Mistral AI. Qwen3-Coder is available from DeepInfra, Fireworks.

Devstral Medium

mistral logo
Mistral
Input Price:Input: $0.40/1MOutput Price:Output: $2.00/1M

Qwen3-Coder

deepinfra logo
Deepinfra
Input Price:Input: $0.18/1MOutput Price:Output: $0.18/1M
fireworks logo
Fireworks
Input Price:Input: $0.25/1MOutput Price:Output: $0.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Alibaba Cloud / Qwen Team

Qwen3-Coder

View details

Alibaba Cloud / Qwen Team

Larger context window (256,000 tokens)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Alibaba Cloud / Qwen Team
Qwen3-Coder

FAQ

Common questions about Devstral Medium vs Qwen3-Coder

Devstral Medium (Mistral AI) and Qwen3-Coder (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 Medium scores SWE-Bench Verified: 61.6%.
Qwen3-Coder is 2.2x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Qwen3-Coder costs $0.18/M input and $0.18/M output via deepinfra.
Devstral Medium supports 128K tokens and Qwen3-Coder supports 256K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 256K), input pricing ($0.40 vs $0.18/M), licensing (Proprietary vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
Devstral Medium is developed by Mistral AI and Qwen3-Coder is developed by Alibaba Cloud / Qwen Team.