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GLM-5.3 vs Ministral 8B Instruct

Comparing GLM-5.3 and Ministral 8B Instruct across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3 and Ministral 8B Instruct trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Ministral 8B Instruct is roughly 21.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current benchmark, pricing, and model metadata for 2026.

Choose GLM-5.3

  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Aug 2026

Choose Ministral 8B Instruct

  • cost matters — it's about 21.5x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

GLM-5.3
Zhipu AI
Ministral 8B Instruct
Mistral AI
Benchmark wins
—
—
Input price
$1.40 / M
$0.10 / M
Output price
$4.40 / M
$0.10 / M
Context window
1,000,000
128,000
Released
Aug 2026
Oct 2024
License
Unknown
Mistral Research License

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Ministral 8B Instructdon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Playground indexes and blind preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 8B Instruct costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 14.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 44.0x more expensive than Ministral 8B Instruct ($0.10/1M tokens).

In conclusion, GLM-5.3 is more expensive than Ministral 8B Instruct.*

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

Lowest available price from all providers
Tue Aug 25 2026 • llm-stats.com
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerUnknown Organization
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

745.0B diff

GLM-5.3 has 745.0B more parameters than Ministral 8B Instruct, making it 9289.3% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Ministral 8B Instruct
8.0Bparameters
753.0B
GLM-5.3
8.0B
Ministral 8B Instruct

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Ministral 8B Instruct's 128,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Ministral 8B Instruct
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Ministral 8B Instruct was released on 2024-10-16.

GLM-5.3 is 22 months newer than Ministral 8B Instruct.

GLM-5.3

Aug 14, 2026

1 weeks ago

1.8yr newer
Ministral 8B Instruct

Oct 16, 2024

1.9 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-5.3 is available from ZAI. Ministral 8B Instruct is available from Mistral AI.

GLM-5.3

z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M

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→

Judge for yourself.

Run your own prompts against GLM-5.3 and Ministral 8B Instruct side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Ministral 8B Instruct
Open in Playground

FAQ

Common questions about GLM-5.3 vs Ministral 8B Instruct.

Which is better, GLM-5.3 or Ministral 8B Instruct?

GLM-5.3 (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-5.3 compare to Ministral 8B Instruct in benchmarks?

GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%. 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-5.3 cheaper than Ministral 8B Instruct?

Ministral 8B Instruct is 14.0x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Ministral 8B Instruct costs $0.10/M input and $0.10/M output via mistral.

What are the context window sizes for GLM-5.3 and Ministral 8B Instruct?

GLM-5.3 supports 1.0M 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-5.3 and Ministral 8B Instruct?

Key differences include context window (1.0M vs 128K), input pricing ($1.40 vs $0.10/M), licensing (Unknown vs Mistral Research License). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Ministral 8B Instruct?

GLM-5.3 is developed by Zhipu AI and Ministral 8B Instruct is developed by Mistral AI.

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