Model Comparison

Devstral Medium vs Qwen3 VL 235B A22B Instruct

Comparing Devstral Medium and Qwen3 VL 235B A22B Instruct across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and Qwen3 VL 235B A22B 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

Qwen3 VL 235B A22B Instruct costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 1.3x more expensive than Qwen3 VL 235B A22B Instruct ($0.30/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 1.3x more expensive than Qwen3 VL 235B A22B Instruct ($1.49/1M tokens).

In conclusion, Devstral Medium is more expensive than Qwen3 VL 235B A22B Instruct.*

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

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Alibaba Cloud / Qwen Team
Qwen3 VL 235B A22B Instruct
Input tokens$0.30
Output tokens$1.49
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Qwen3 VL 235B A22B Instruct accepts 262,144 input tokens compared to Devstral Medium's 128,000 tokens. Qwen3 VL 235B A22B Instruct can generate longer responses up to 262,144 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 VL 235B A22B Instruct
Input262,144 tokens
Output262,144 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Qwen3 VL 235B A22B Instruct supports multimodal inputs, whereas Devstral Medium does not.

Qwen3 VL 235B A22B Instruct can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Medium

Text
Images
Audio
Video

Qwen3 VL 235B A22B Instruct

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, while Qwen3 VL 235B A22B Instruct 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 VL 235B A22B Instruct

Apache 2.0

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while Qwen3 VL 235B A22B Instruct was released on 2025-09-22.

Qwen3 VL 235B A22B Instruct is 2 months newer than Devstral Medium.

Devstral Medium

Jul 10, 2025

9 months ago

Qwen3 VL 235B A22B Instruct

Sep 22, 2025

7 months ago

2mo newer

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 VL 235B A22B Instruct is available from DeepInfra, Novita.

Devstral Medium

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

Qwen3 VL 235B A22B Instruct

deepinfra logo
Deepinfra
Input Price:Input: $0.30/1MOutput Price:Output: $1.49/1M
novita logo
Novita
Input Price:Input: $0.30/1MOutput Price:Output: $1.50/1M
* 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
Larger context window (262,144 tokens)
Supports multimodal inputs
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 VL 235B A22B Instruct

FAQ

Common questions about Devstral Medium vs Qwen3 VL 235B A22B Instruct

Devstral Medium (Mistral AI) and Qwen3 VL 235B A22B 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 Medium scores SWE-Bench Verified: 61.6%. Qwen3 VL 235B A22B Instruct scores DocVQAtest: 97.1%, ScreenSpot: 95.4%, MMLU-Redux: 92.2%, OCRBench: 92.0%, MMBench-V1.1: 89.9%.
Qwen3 VL 235B A22B Instruct is 1.3x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. Qwen3 VL 235B A22B Instruct costs $0.30/M input and $1.49/M output via deepinfra.
Devstral Medium supports 128K tokens and Qwen3 VL 235B A22B Instruct supports 262K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (128K vs 262K), input pricing ($0.40 vs $0.30/M), multimodal support (no vs yes), 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 VL 235B A22B Instruct is developed by Alibaba Cloud / Qwen Team.