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

GLM-5.3-Flash leads the LLM Stats Score 51.6 to 16.8. Ministral 3 (8B Reasoning 2512) is 1.6x cheaper per token.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-5.3-Flash leads the overall LLM Stats Score 51.6 to 16.8, ranking #11 overall.

On price, Ministral 3 (8B Reasoning 2512) is roughly 1.6x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-5.3-Flash also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose GLM-5.3-Flash

  • overall performance matters — it scores 51.6 and ranks #11 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 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 1.6x cheaper per token

At a glance

The differences that matter most.

GLM-5.3-Flash
Zhipu AI
Ministral 3 (8B Reasoning 2512)
Mistral AI
Core performance indexes
LLM Stats Score
51.6
#11
16.8
#201
Reasoning
50.3
#13
16.8
#194
Coding
37.8
#22
9.0
#162
Cost, coverage & limits
Benchmark wins
—
—
Input price
$0.15 / M
$0.15 / M
Output price
$0.50 / M
$0.15 / M
Context window
1,048,576
262,100

Individual benchmarks

15 reported for GLM-5.3-Flash · 4 for Ministral 3 (8B Reasoning 2512)

No common benchmarks found

GLM-5.3-Flash and Ministral 3 (8B Reasoning 2512)don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Ministral 3 (8B Reasoning 2512) costs less

For input processing, GLM-5.3-Flash ($0.15/1M tokens) costs the same as Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

For output processing, GLM-5.3-Flash ($0.50/1M tokens) is 3.3x more expensive than Ministral 3 (8B Reasoning 2512) ($0.15/1M tokens).

In conclusion, GLM-5.3-Flash 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
Fri Aug 28 2026 • llm-stats.com
Zhipu AI
GLM-5.3-Flash
Input tokens$0.15
Output tokens$0.50
Best providerDeepinfra
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

312.0B diff

GLM-5.3-Flash has 312.0B more parameters than Ministral 3 (8B Reasoning 2512), making it 3900.0% larger.

Zhipu AI
GLM-5.3-Flash
320.0Bparameters
Mistral AI
Ministral 3 (8B Reasoning 2512)
8.0Bparameters
320.0B
GLM-5.3-Flash
8.0B
Ministral 3 (8B Reasoning 2512)

Context Window

Maximum input and output token capacity

GLM-5.3-Flash accepts 1,048,576 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-Flash is limited to 131,072 tokens.

Zhipu AI
GLM-5.3-Flash
Input1,048,576 tokens
Output131,072 tokens
Mistral AI
Ministral 3 (8B Reasoning 2512)
Input262,100 tokens
Output262,100 tokens
Fri Aug 28 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both GLM-5.3-Flash and Ministral 3 (8B Reasoning 2512) support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

GLM-5.3-Flash

Text
Images
Audio
Video

Ministral 3 (8B Reasoning 2512)

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5.3-Flash is licensed under MIT, while Ministral 3 (8B Reasoning 2512) uses Apache 2.0.

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

GLM-5.3-Flash

MIT

Open weights

Ministral 3 (8B Reasoning 2512)

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-5.3-Flash was released on 2026-08-26, while Ministral 3 (8B Reasoning 2512) was released on 2025-12-04.

GLM-5.3-Flash is 9 months newer than Ministral 3 (8B Reasoning 2512).

GLM-5.3-Flash

Aug 26, 2026

2 days 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-Flash is available from DeepInfra, Novita, ZAI. Ministral 3 (8B Reasoning 2512) is available from Mistral AI.

GLM-5.3-Flash

deepinfra logo
Deepinfra
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
novita logo
Novita
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M
z logo
Unknown Organization
Input Price:Input: $0.15/1MOutput Price:Output: $0.50/1M

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-Flash and Ministral 3 (8B Reasoning 2512) side-by-side, then vote on the output you prefer.

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

FAQ

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

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

GLM-5.3-Flash leads the LLM Stats Score 51.6 to 16.8. GLM-5.3-Flash is made by Zhipu AI and Ministral 3 (8B Reasoning 2512) is made by Mistral AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does GLM-5.3-Flash compare to Ministral 3 (8B Reasoning 2512) in benchmarks?

GLM-5.3-Flash scores CharXiv-R: 89.4%, Terminal-Bench 2.1: 84.3%, MMVU: 80.5%, Toolathlon: 78.4%, Chartography: 78.0%. Ministral 3 (8B Reasoning 2512) scores AIME 2024: 86.0%, AIME 2025: 78.7%, GPQA: 66.8%, LiveCodeBench: 61.6%.

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

Both models cost $0.15 per million input tokens.

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

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

Key differences include LLM Stats Score (51.6 vs 16.8), context window (1.0M vs 262K), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.

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

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

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