Model Comparison

GLM-4.5-Air vs Pixtral LargeWhich is better in 2026?

Comparing GLM-4.5-Air and Pixtral Large across benchmarks, pricing, and capabilities.

Verdict: GLM-4.5-Air vs Pixtral Large — which is better?

GLM-4.5-Air (by Zhipu AI) and Pixtral Large (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.

Choose GLM-4.5-Air if…

  • you want the most recent training data — it shipped Jul 2025

Choose Pixtral Large if…

  • you want predictable pricing at $2.00/M input and $6.00/M output

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5-Air and Pixtral Largedon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Model Size

Parameter count comparison

18.0B diff

Pixtral Large has 18.0B more parameters than GLM-4.5-Air, making it 17.0% larger.

Zhipu AI
GLM-4.5-Air
106.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
106.0B
GLM-4.5-Air
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

Only Pixtral Large specifies input context (128,000 tokens). Only Pixtral Large specifies output context (128,000 tokens).

Zhipu AI
GLM-4.5-Air
Input- tokens
Output- tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Sat Jun 27 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Pixtral Large 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

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5-Air is licensed under MIT, while Pixtral Large uses Mistral Research License (MRL) for research; Mistral Commercial License for commercial use.

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

GLM-4.5-Air

MIT

Open weights

Pixtral Large

Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Open weights

Release Timeline

When each model was launched

GLM-4.5-Air was released on 2025-07-28, while Pixtral Large was released on 2024-11-18.

GLM-4.5-Air is 8 months newer than Pixtral Large.

GLM-4.5-Air

Jul 28, 2025

11 months ago

8mo newer
Pixtral Large

Nov 18, 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

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Zhipu AI

No standout differentiators in the data we have for this pair.

Mistral AI
Larger context window (128,000 tokens)
Supports multimodal inputs

Detailed Comparison

Interactive Arena

Judge for yourself.

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

GLM-4.5-Air
✓ Preferred
Pixtral Large
Open in Playground
AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5-Air
Mistral AI
Pixtral Large

FAQ

Common questions about GLM-4.5-Air vs Pixtral Large.

Which is better, GLM-4.5-Air or Pixtral Large?

GLM-4.5-Air (Zhipu AI) and Pixtral Large (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-4.5-Air compare to Pixtral Large 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%. Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

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

GLM-4.5-Air supports an unknown number of tokens and Pixtral Large 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-4.5-Air and Pixtral Large?

Key differences include multimodal support (no vs yes), licensing (MIT vs Mistral Research License (MRL) for research; Mistral Commercial License for commercial use). See the full comparison above for benchmark-by-benchmark results.

Who makes GLM-4.5-Air and Pixtral Large?

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

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