Model Comparison

GLM-5 vs Ministral 8B InstructWhich is better in 2026?

Comparing GLM-5 and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Verdict: GLM-5 vs Ministral 8B Instruct — which is better?

GLM-5 (by Zhipu AI) and Ministral 8B Instruct (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, Ministral 8B Instruct is roughly 15.5x 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 Ministral 8B Instruct if…

  • cost matters — it's about 15.5x cheaper per token
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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Ministral 8B Instruct 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

Ministral 8B Instruct costs less

For input processing, GLM-5 ($1.00/1M tokens) is 10.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 32.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, GLM-5 is more expensive than Ministral 8B Instruct.*

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

Lowest available price from all providers
Sat Jun 06 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerFriendliAI
Mistral AI
Ministral 8B Instruct
Input tokens$0.10
Output tokens$0.10
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

736.0B diff

GLM-5 has 736.0B more parameters than Ministral 8B Instruct, making it 9177.0% larger.

Zhipu AI
GLM-5
744.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
744.0B
GLM-5
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

GLM-5 accepts 200,000 input tokens compared to Ministral 8B Instruct'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
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Sat Jun 06 2026 • llm-stats.com

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Ministral 8B Instruct uses Mistral Research License.

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

GLM-5

MIT

Open weights

Ministral 8B Instruct

Mistral Research License

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Ministral 8B Instruct was released on 2024-10-16.

GLM-5 is 16 months newer than Ministral 8B Instruct.

GLM-5

Feb 11, 2026

3 months ago

1.3yr newer
Ministral 8B Instruct

Oct 16, 2024

1.6 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. Ministral 8B Instruct 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

Ministral 8B Instruct

mistral logo
Mistral
Input Price:Input: $0.10/1MOutput Price:Output: $0.10/1M
* 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
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Mistral AI
Ministral 8B Instruct

FAQ

Common questions about GLM-5 vs Ministral 8B Instruct.

Which is better, GLM-5 or Ministral 8B Instruct?

GLM-5 (Zhipu AI) and Ministral 8B Instruct (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 Ministral 8B Instruct 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%. Ministral 8B Instruct scores MT-Bench: 83.0%, Winogrande: 75.3%, ARC-C: 71.9%, Arena Hard: 70.9%, MBPP pass@1: 70.0%.

Is GLM-5 cheaper than Ministral 8B Instruct?

Ministral 8B Instruct is 10.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via friendli. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.

What are the context window sizes for GLM-5 and Ministral 8B Instruct?

GLM-5 supports 200K tokens and Ministral 8B Instruct 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 Ministral 8B Instruct?

Key differences include context window (200K vs 128K), input pricing ($1.00 vs $0.10/M), licensing (MIT vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5 and Ministral 8B Instruct?

GLM-5 is developed by Zhipu AI and Ministral 8B Instruct is developed by Mistral AI.

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