Model Comparison

GLM-5 vs Mistral Small 3.1 24B BaseWhich is better in 2026?

Comparing GLM-5 and Mistral Small 3.1 24B Base across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Mistral Small 3.1 24B Base — which is better?

GLM-5 (by Zhipu AI) and Mistral Small 3.1 24B Base (by Mistral 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, Mistral Small 3.1 24B Base is roughly 10.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5 also accepts a larger context window (200,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose GLM-5 if…

  • you process long inputs — it offers a 200,000 token context window
  • you want the most recent training data — it shipped Feb 2026

Choose Mistral Small 3.1 24B Base if…

  • cost matters — it's about 10.3x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Mistral Small 3.1 24B Basedon'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 3.1 24B Base costs less

For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than Mistral Small 3.1 24B Base ($0.10/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 10.7x more expensive than Mistral Small 3.1 24B Base ($0.30/1M tokens).

In conclusion, GLM-5 is more expensive than Mistral Small 3.1 24B Base.*

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

Lowest available price from all providers
Sat Jun 13 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Mistral AI
Mistral Small 3.1 24B Base
Input tokens$0.10
Output tokens$0.30
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

720.0B diff

GLM-5 has 720.0B more parameters than Mistral Small 3.1 24B Base, making it 3000.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Mistral Small 3.1 24B Base
24.0Bparameters
744.0B
GLM-5
24.0B
Mistral Small 3.1 24B Base

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Mistral Small 3.1 24B Base's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Mistral AI
Mistral Small 3.1 24B Base
Input128,000 tokens
Output128,000 tokens
Sat Jun 13 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Mistral Small 3.1 24B Base supports multimodal inputs, whereas GLM-5 does not.

Mistral Small 3.1 24B Base 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 3.1 24B Base

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Mistral Small 3.1 24B Base 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 3.1 24B Base

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Mistral Small 3.1 24B Base was released on 2025-03-17.

GLM-5 is 11 months newer than Mistral Small 3.1 24B Base.

GLM-5

Feb 11, 2026

4 months ago

11mo newer
Mistral Small 3.1 24B Base

Mar 17, 2025

1.2 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-5 is available from FriendliAI, ZAI. Mistral Small 3.1 24B Base 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 Small 3.1 24B Base

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.30/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI
Larger context window (200,000 tokens)
Mistral AI
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 3.1 24B Base

FAQ

Common questions about GLM-5 vs Mistral Small 3.1 24B Base.

Which is better, GLM-5 or Mistral Small 3.1 24B Base?

GLM-5 (Zhipu AI) and Mistral Small 3.1 24B Base (Mistral 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 GLM-5 compare to Mistral Small 3.1 24B Base 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 Small 3.1 24B Base scores MMLU: 81.0%, TriviaQA: 80.5%, MMMU: 59.3%, MMLU-Pro: 56.0%, GPQA: 37.5%.

Is GLM-5 cheaper than Mistral Small 3.1 24B Base?

Mistral Small 3.1 24B Base is 10.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Mistral Small 3.1 24B Base costs $0.10/M input and $0.30/M output via mistral.

What are the context window sizes for GLM-5 and Mistral Small 3.1 24B Base?

GLM-5 supports 200K tokens and Mistral Small 3.1 24B Base supports 128K 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 Small 3.1 24B Base?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.10/M), multimodal support (no vs yes), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Mistral Small 3.1 24B Base?

GLM-5 is developed by Zhipu AI and Mistral Small 3.1 24B Base is developed by Mistral AI.

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