Model Comparison

GLM-5 vs Mistral Medium 3.5

GLM-5 significantly outperforms across most benchmarks. GLM-5 is 1.9x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

GLM-5 outperforms in 2 benchmarks (BrowseComp, SWE-Bench Verified), while Mistral Medium 3.5 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Wed May 20 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.5x cheaper than Mistral Medium 3.5 ($1.50/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 2.3x cheaper than Mistral Medium 3.5 ($7.50/1M tokens).

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

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

Lowest available price from all providers
Wed May 20 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Mistral AI
Mistral Medium 3.5
Input tokens$1.50
Output tokens$7.50
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

616.0B diff

GLM-5 has 616.0B more parameters than Mistral Medium 3.5, making it 481.3% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Mistral Medium 3.5
128.0Bparameters
744.0B
GLM-5
128.0B
Mistral Medium 3.5

Context Window

Maximum input and output token capacity

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

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Mistral AI
Mistral Medium 3.5
Input256,000 tokens
Output256,000 tokens
Wed May 20 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Medium 3.5 supports multimodal inputs, whereas GLM-5 does not.

Mistral Medium 3.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Mistral Medium 3.5

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mistral Medium 3.5 uses Modified MIT License.

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

GLM-5

MIT

Open weights

Mistral Medium 3.5

Modified MIT License

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mistral Medium 3.5 was released on 2026-04-29.

Mistral Medium 3.5 is 3 months newer than GLM-5.

GLM-5

Feb 11, 2026

3 months ago

Mistral Medium 3.5

Apr 29, 2026

3 weeks 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

GLM-5 is available from FriendliAI, ZAI. Mistral Medium 3.5 is available from Mistral AI.

GLM-5

friendli logo
FriendliAI
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M
z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Mistral Medium 3.5

mistral logo
Mistral
Input Price:Input: $1.50/1MOutput Price:Output: $7.50/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Higher BrowseComp score (75.9% vs 48.6%)
Higher SWE-Bench Verified score (77.8% vs 77.6%)
Mistral AI
Larger context window (256,000 tokens)
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Mistral Medium 3.5

FAQ

Common questions about GLM-5 vs Mistral Medium 3.5.

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

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Mistral Medium 3.5 is made by Mistral AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does GLM-5 compare to Mistral Medium 3.5 in benchmarks?

GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. 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%.

Is GLM-5 cheaper than Mistral Medium 3.5?

GLM-5 is 1.5x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Mistral Medium 3.5 costs $1.50/M input and $7.50/M output via mistral.

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

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

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

Key differences include context window (200K vs 256K), input pricing ($1.00 vs $1.50/M), multimodal support (no vs yes), licensing (MIT vs Modified MIT License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Mistral Medium 3.5?

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