Model Comparison

Mistral Medium 3.5 vs GLM-5V-TurboWhich is better in 2026?

Comparing Mistral Medium 3.5 and GLM-5V-Turbo across benchmarks, pricing, and capabilities.

Verdict: Mistral Medium 3.5 vs GLM-5V-Turbo — which is better?

Mistral Medium 3.5 (by Mistral AI) and GLM-5V-Turbo (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, GLM-5V-Turbo is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Mistral Medium 3.5 also accepts a larger context window (256,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Mistral Medium 3.5 if…

  • you process long inputs — it offers a 256,000 token context window
  • you want the most recent training data — it shipped Apr 2026
  • you need open weights you can self-host or fine-tune

Choose GLM-5V-Turbo if…

  • cost matters — it's about 1.6x cheaper per token

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Mistral Medium 3.5 and GLM-5V-Turbodon'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

GLM-5V-Turbo costs less

For input processing, Mistral Medium 3.5 ($1.50/1M tokens) is 1.3x more expensive than GLM-5V-Turbo ($1.20/1M tokens).

For output processing, Mistral Medium 3.5 ($7.50/1M tokens) is 1.9x more expensive than GLM-5V-Turbo ($4.00/1M tokens).

In conclusion, Mistral Medium 3.5 is more expensive than GLM-5V-Turbo.*

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

Lowest available price from all providers
Fri Jul 17 2026 • llm-stats.com
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Zhipu AI
GLM-5V-Turbo
Input tokens$1.20
Output tokens$4.00
Best providerUnknown Organization
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Mistral Medium 3.5 accepts 256,000 input tokens compared to GLM-5V-Turbo's 200,000 tokens. Mistral Medium 3.5 can generate longer responses up to 256,000 tokens, while GLM-5V-Turbo is limited to 128,000 tokens.

Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Zhipu AI
GLM-5V-Turbo
Input200,000 tokens
Output128,000 tokens
Fri Jul 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Mistral Medium 3.5 and GLM-5V-Turbo support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Mistral Medium 3.5

Text
Images
Audio
Video

GLM-5V-Turbo

Text
Images
Audio
Video

License

Usage and distribution terms

Mistral Medium 3.5 is licensed under Modified MIT License, while GLM-5V-Turbo uses a proprietary license.

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

Mistral Medium 3.5

Modified MIT License

Open weights

GLM-5V-Turbo

Proprietary

Closed source

Release Timeline

When each model was launched

Mistral Medium 3.5 was released on 2026-04-29, while GLM-5V-Turbo was released on 2026-04-02.

Mistral Medium 3.5 is 1 month newer than GLM-5V-Turbo.

Mistral Medium 3.5

Apr 29, 2026

2 months ago

3w newer
GLM-5V-Turbo

Apr 2, 2026

3 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

Mistral Medium 3.5 is available from Mistral AI. GLM-5V-Turbo is available from ZAI.

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M

GLM-5V-Turbo

z logo
Unknown Organization
Input Price:Input: $1.20/1MOutput Price:Output: $4.00/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

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

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Mistral Medium 3.5 and GLM-5V-Turbo side-by-side, then vote on the output you prefer.

Mistral Medium 3.5
✓ Preferred
GLM-5V-Turbo
Open in Playground
AI Model Comparison Table
Feature
Mistral AI
Mistral Medium 3.5
Zhipu AI
GLM-5V-Turbo

FAQ

Common questions about Mistral Medium 3.5 vs GLM-5V-Turbo.

Which is better, Mistral Medium 3.5 or GLM-5V-Turbo?

Mistral Medium 3.5 (Mistral AI) and GLM-5V-Turbo (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 Mistral Medium 3.5 compare to GLM-5V-Turbo in benchmarks?

Mistral Medium 3.5 scores COLLIE: 95.8%, Tau3 Telecom: 91.4%, AIME 2025: 86.3%, SWE-Bench Verified: 77.6%, Tau3 Retail: 76.1%. GLM-5V-Turbo scores Design2Code: 94.8%, Flame-VLM-Code: 93.8%, V*: 89.0%, WebVoyager: 88.5%, PinchBench: 80.7%.

Is Mistral Medium 3.5 cheaper than GLM-5V-Turbo?

GLM-5V-Turbo is 1.3x cheaper for input tokens. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral. GLM-5V-Turbo costs $1.20/M input and $4.00/M output via z.

What are the context window sizes for Mistral Medium 3.5 and GLM-5V-Turbo?

Mistral Medium 3.5 supports 256K tokens and GLM-5V-Turbo supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Mistral Medium 3.5 and GLM-5V-Turbo?

Key differences include context window (256K vs 200K), input pricing ($1.50 vs $1.20/M), licensing (Modified MIT License vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Mistral Medium 3.5 and GLM-5V-Turbo?

Mistral Medium 3.5 is developed by Mistral AI and GLM-5V-Turbo is developed by Zhipu AI.

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