GLM-4.5 vs Mistral Small Comparison

Comparing GLM-4.5 and Mistral Small across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5 and Mistral Small 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 costs less

For input processing, GLM-4.5 ($0.40/1M tokens) is 2.0x more expensive than Mistral Small ($0.20/1M tokens).

For output processing, GLM-4.5 ($1.60/1M tokens) is 2.7x more expensive than Mistral Small ($0.60/1M tokens).

In conclusion, GLM-4.5 is more expensive than Mistral Small.*

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

Lowest available price from all providers
Sat Mar 21 2026 • llm-stats.com
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Mistral AI
Mistral Small
Input tokens$0.20
Output tokens$0.60
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

333.0B diff

GLM-4.5 has 333.0B more parameters than Mistral Small, making it 1513.6% larger.

Zhipu AI
GLM-4.5
355.0Bparameters
Mistral AI
Mistral Small
22.0Bparameters
355.0B
GLM-4.5
22.0B
Mistral Small

Context Window

Maximum input and output token capacity

GLM-4.5 accepts 131,072 input tokens compared to Mistral Small's 32,768 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Mistral Small is limited to 32,768 tokens.

Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Mistral AI
Mistral Small
Input32,768 tokens
Output32,768 tokens
Sat Mar 21 2026 • llm-stats.com

License

Usage and distribution terms

GLM-4.5 is licensed under MIT, while Mistral Small uses Mistral Research License.

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

GLM-4.5

MIT

Open weights

Mistral Small

Mistral Research License

Open weights

Release Timeline

When each model was launched

GLM-4.5 was released on 2025-07-28, while Mistral Small was released on 2024-09-17.

GLM-4.5 is 10 months newer than Mistral Small.

GLM-4.5

Jul 28, 2025

7 months ago

10mo newer
Mistral Small

Sep 17, 2024

1.5 years 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

GLM-4.5 is available from DeepInfra, Fireworks, Novita. Mistral Small is available from Mistral AI. The availability of providers can affect quality of the model and reliability.

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
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

Mistral Small

mistral logo
Mistral
Input Price:Input: $0.20/1MOutput Price:Output: $0.60/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Larger context window (131,072 tokens)
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5
Mistral AI
Mistral Small