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GLM-5.3 vs Ministral 3 (8B Reasoning 2512)

Comparing GLM-5.3 and Ministral 3 (8B Reasoning 2512) across benchmarks, pricing, and capabilities.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3 and Ministral 3 (8B Reasoning 2512) trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, Ministral 3 (8B Reasoning 2512) is roughly 14.3x 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 3 (8B Reasoning 2512)

  • cost matters — it's about 14.3x 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 3 (8B Reasoning 2512)
Mistral AI
Benchmark wins
—
—
Input price
$1.40 / M
$0.15 / M
Output price
$4.40 / M
$0.15 / M
Context window
1,000,000
262,100
Released
Aug 2026
Dec 2025
License
Unknown
Apache 2.0

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5.3 and Ministral 3 (8B Reasoning 2512)don'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 3 (8B Reasoning 2512) costs less

For input processing, GLM-5.3 ($1.40/1M tokens) is 9.3x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, GLM-5.3 ($4.40/1M tokens) is 29.3x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, GLM-5.3 is more expensive than Ministral 3 (8B Reasoning 2512).*

* 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 3 (8B Reasoning 2512)
Input tokens$0.15
Output tokens$0.15
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 3 (8B Reasoning 2512), making it 9312.5% larger.

Zhipu AI
GLM-5.3
753.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
753.0B
GLM-5.3
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

GLM-5.3 accepts 1,000,000 input tokens compared to Ministral 3 (8B Reasoning 2512)'s 262,100 tokens. Ministral 3 (8B Reasoning 2512) can generate longer responses up to 262,100 tokens, while GLM-5.3 is limited to 128,000 tokens.

Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output128,000 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Ministral 3 (8B Reasoning 2512) supports multimodal inputs, whereas GLM-5.3 does not.

Ministral 3 (8B Reasoning 2512) can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5.3

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

Release Timeline

When each model was launched

GLM-5.3 was released on 2026-08-14, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

GLM-5.3 is 8 months newer than Ministral 3 (8B Reasoning 2512).

GLM-5.3

Aug 14, 2026

1 weeks ago

8mo newer
Ministral 3 (8B Reasoning 2512)

Dec 4, 2025

8 months 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 3 (8B Reasoning 2512) is available from Mistral AI.

GLM-5.3

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

Ministral 3 (8B Reasoning 2512)

mistral logo
Mistral
Input Price:Input: $0.15/1MOutput Price:Output: $0.15/1M
* 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 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

GLM-5.3
✓ Preferred
Ministral 3 (8B Reasoning 2512)
Open in Playground

FAQ

Common questions about GLM-5.3 vs Ministral 3 (8B Reasoning 2512).

Which is better, GLM-5.3 or Ministral 3 (8B Reasoning 2512)?

GLM-5.3 (Zhipu AI) and Ministral 3 (8B Reasoning 2512) (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 3 (8B Reasoning 2512) 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 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

Is GLM-5.3 cheaper than Ministral 3 (8B Reasoning 2512)?

Ministral 3 (8B Reasoning 2512) is 9.3x cheaper for input tokens. GLM-5.3 costs $1.40/M input and $4.40/M output via z. Ministral 3 (8B Reasoning 2512) costs $0.15/M input and $0.15/M output via mistral.

What are the context window sizes for GLM-5.3 and Ministral 3 (8B Reasoning 2512)?

GLM-5.3 supports 1.0M tokens and Ministral 3 (8B Reasoning 2512) supports 262K 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 3 (8B Reasoning 2512)?

Key differences include context window (1.0M vs 262K), input pricing ($1.40 vs $0.15/M), multimodal support (no vs yes), licensing (Unknown vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-5.3 and Ministral 3 (8B Reasoning 2512)?

GLM-5.3 is developed by Zhipu AI and Ministral 3 (8B Reasoning 2512) is developed by Mistral AI.

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