GLM-5 vs Mistral Small 4 Comparison

Comparing GLM-5 and Mistral Small 4 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Mistral Small 4 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

Mistral Small 4 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 6.7x more expensive than Mistral Small 4 ($0.15/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 5.3x more expensive than Mistral Small 4 ($0.60/1M tokens).

In conclusion, GLM-5 is more expensive than Mistral Small 4.*

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

Lowest available price from all providers
Wed Mar 18 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Mistral AI
Mistral Small 4
Input tokens$0.15
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

625.0B diff

GLM-5 has 625.0B more parameters than Mistral Small 4, making it 525.2% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Mistral Small 4
119.0Bparameters
744.0B
GLM-5
119.0B
Mistral Small 4

Context Window

Maximum input and output token capacity

Mistral Small 4 accepts 256,000 input tokens compared to GLM-5's 200,000 tokens. Mistral Small 4 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 Small 4
Input256,000 tokens
Output256,000 tokens
Wed Mar 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 4 supports multimodal inputs, whereas GLM-5 does not.

Mistral Small 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Mistral Small 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mistral Small 4 uses Apache 2.0.

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

GLM-5

MIT

Open weights

Mistral Small 4

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mistral Small 4 was released on 2026-03-16.

Mistral Small 4 is 1 month newer than GLM-5.

GLM-5

Feb 11, 2026

1 months ago

Mistral Small 4

Mar 16, 2026

2 days 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

GLM-5 is available from ZAI. Mistral Small 4 is available from Mistral AI. The availability of providers can affect quality of the model and reliability.

GLM-5

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

Mistral Small 4

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (256,000 tokens)
Supports multimodal inputs
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Mistral Small 4