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GLM-4.5-Air vs Mistral Large 4

Mistral Large 4 leads the LLM Stats Score 45.8 to 23.9.

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

Mistral Large 4 leads the overall LLM Stats Score 45.8 to 23.9, ranking #39 overall.

In the 1 individual benchmarks reported for both models, Mistral Large 4 wins 1; this is a narrower head-to-head signal than the composite indexes.

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

Choose GLM-4.5-Air

  • you need open weights you can self-host or fine-tune

Choose Mistral Large 4

  • overall performance matters — it scores 45.8 and ranks #39 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you value its reported benchmark strengths — it wins 1 of 1 exact shared results
  • you want the most recent training data — it shipped Oct 2026

At a glance

The differences that matter most.

GLM-4.5-Air
Zhipu AI
Mistral Large 4
Mistral AI
Core performance indexes
LLM Stats Score
23.9
#189
45.8
#39
Reasoning
23.3
#187
43.9
#48
Coding
10.8
#183
35.0
#31
Agents
5.7
#165
33.8
#34
Cost, coverage & limits
Benchmark wins
0 of 1
1 of 1
Input price
— / M
$0.68 / M
Output price
— / M
$2.09 / M
Context window
—
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
GLM-4.5-Air
Mistral Large 4
Tool use
20.0#71
28.1#23
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

14 reported for GLM-4.5-Air · 18 for Mistral Large 4

1 shared

GLM-4.5-Air outperforms in 0 benchmarks, while Mistral Large 4 is better at 1 benchmark (SciCode).

Mistral Large 4 significantly outperforms across most benchmarks.

Thu Oct 22 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Model Size

Parameter count comparison

944.0B diff

Mistral Large 4 has 944.0B more parameters than GLM-4.5-Air, making it 890.6% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Mistral AI
Mistral Large 4
1.1Tparameters
106.0B
GLM-4.5-Air
1050.0B
Mistral Large 4

Context Window

Maximum input and output token capacity

Only Mistral Large 4 specifies input context (1,000,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Mistral AI
Mistral Large 4
Input1,000,000 tokens
Output- tokens
Thu Oct 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Mistral Large 4 supports multimodal inputs, whereas GLM-4.5-Air does not.

Mistral Large 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-4.5-Air

Text
Images
Audio
Video

Mistral Large 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Mistral Large 4 uses a proprietary license.

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

GLM-4.5-Air

MIT

Open weights

Mistral Large 4

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Mistral Large 4 was released on 2026-10-06.

Mistral Large 4 is 15 months newer than GLM-4.5-Air.

GLM-4.5-Air

Jul 28, 2025

1.2 years ago

Mistral Large 4

Oct 6, 2026

1 weeks ago

1.2yr newer

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

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

Run your own prompts against GLM-4.5-Air and Mistral Large 4 side-by-side, then vote on the output you prefer.

GLM-4.5-Air
✓ Preferred
Mistral Large 4
Open in Playground

FAQ

Common questions about GLM-4.5-Air vs Mistral Large 4.

Which is better, GLM-4.5-Air or Mistral Large 4?

Mistral Large 4 leads the LLM Stats Score 45.8 to 23.9. GLM-4.5-Air is made by Zhipu AI and Mistral Large 4 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-4.5-Air compare to Mistral Large 4 in benchmarks?

GLM-4.5-Air scores MATH-500: 98.1%, AIME 2024: 89.4%, MMLU-Pro: 81.4%, TAU-bench Retail: 77.9%, BFCL-v3: 76.4%. Mistral Large 4 scores B3 AI Security Benchmark: 93.3%, CyBench: 93.0%, SciCode: 91.8%, KORABench: 84.5%, CyberGym: 82.0%.

What are the context window sizes for GLM-4.5-Air and Mistral Large 4?

GLM-4.5-Air supports an unknown number of tokens and Mistral Large 4 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between GLM-4.5-Air and Mistral Large 4?

Key differences include LLM Stats Score (23.9 vs 45.8), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Mistral Large 4?

GLM-4.5-Air is developed by Zhipu AI and Mistral Large 4 is developed by Mistral AI.

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