Model Comparison

Devstral Medium vs GLM-4.5VWhich is better in 2026?

Comparing Devstral Medium and GLM-4.5V across benchmarks, pricing, and capabilities.

Verdict: Devstral Medium vs GLM-4.5V — which is better?

Devstral Medium (by Mistral AI) and GLM-4.5V (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Devstral Medium is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-4.5V also accepts a larger context window (131,072 input tokens), making it the stronger choice for long documents and large codebases.

Choose Devstral Medium if…

  • cost matters — it's about 1.2x cheaper per token

Choose GLM-4.5V if…

  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Aug 2025
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Devstral Medium and GLM-4.5Vdon'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

Devstral Medium costs less

For input processing, Devstral Medium ($0.40/1M tokens) is 1.4x cheaper than GLM-4.5V ($0.55/1M tokens).

For output processing, Devstral Medium ($2.00/1M tokens) is 1.1x cheaper than GLM-4.5V ($2.19/1M tokens).

In conclusion, GLM-4.5V is more expensive than Devstral Medium.*

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

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Mistral AI
Devstral Medium
Input tokens$0.40
Output tokens$2.00
Best providerMistral
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to Devstral Medium's 128,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Devstral Medium is limited to 128,000 tokens.

Mistral AI
Devstral Medium
Input128,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.5V supports multimodal inputs, whereas Devstral Medium does not.

GLM-4.5V can handle both text and other forms of data like images, making it suitable for multimodal applications.

Devstral Medium

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Devstral Medium is licensed under a proprietary license, while GLM-4.5V uses MIT.

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

Devstral Medium

Proprietary

Closed source

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

Devstral Medium was released on 2025-07-10, while GLM-4.5V was released on 2025-08-11.

GLM-4.5V is 1 month newer than Devstral Medium.

Devstral Medium

Jul 10, 2025

1.0 years ago

GLM-4.5V

Aug 11, 2025

11 months ago

1mo 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. GLM-4.5V is available from Fireworks, Novita.

Devstral Medium

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

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Mistral AI
Less expensive input tokens
Less expensive output tokens
Zhipu AI
Larger context window (131,072 tokens)
Supports multimodal inputs
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Devstral Medium and GLM-4.5V side-by-side, then vote on the output you prefer.

Devstral Medium
✓ Preferred
GLM-4.5V
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Devstral Medium
Zhipu AI
GLM-4.5V

FAQ

Common questions about Devstral Medium vs GLM-4.5V.

Which is better, Devstral Medium or GLM-4.5V?

Devstral Medium (Mistral AI) and GLM-4.5V (Zhipu AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Devstral Medium compare to GLM-4.5V in benchmarks?

Devstral Medium scores SWE-Bench Verified: 61.6%.

Is Devstral Medium cheaper than GLM-4.5V?

Devstral Medium is 1.4x cheaper for input tokens. Devstral Medium costs $0.40/M input and $2.00/M output via mistral. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks.

What are the context window sizes for Devstral Medium and GLM-4.5V?

Devstral Medium supports 128K tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Devstral Medium and GLM-4.5V?

Key differences include context window (128K vs 131K), input pricing ($0.40 vs $0.55/M), multimodal support (no vs yes), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Devstral Medium and GLM-4.5V?

Devstral Medium is developed by Mistral AI and GLM-4.5V is developed by Zhipu AI.

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