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GLM-4.5V vs Pixtral Large

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

Zhipu AI · Mistral AI · Updated for 2026

Which is better?

GLM-4.5V and Pixtral Large trade strengths across price, capabilities, and technical limits. The better choice depends on the workload.

On price, GLM-4.5V is roughly 3.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

GLM-4.5V also accepts a larger context window (131,072 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-4.5V

  • cost matters — it's about 3.1x cheaper per token
  • you process long inputs — it offers a 131,072 token context window
  • you want the most recent training data — it shipped Aug 2025

Choose Pixtral Large

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

At a glance

The differences that matter most.

Benchmark wins
Input price
$0.55 / M
$2.00 / M
Output price
$2.19 / M
$6.00 / M
Context window
131,072
128,000
Released
Aug 2025
Nov 2024
License
MIT
Mistral Research License (MRL) for research; Mistral Commercial License for commercial use

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and Pixtral Largedon'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

GLM-4.5V costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 3.6x cheaper than Pixtral Large ($2.00/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 2.7x cheaper than Pixtral Large ($6.00/1M tokens).

In conclusion, Pixtral Large is more expensive than GLM-4.5V.*

* 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-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Mistral AI
Pixtral Large
Input tokens$2.00
Output tokens$6.00
Best providerMistral
Notice missing or incorrect data?Start an Issue

Model Size

Parameter count comparison

16.0B diff

Pixtral Large has 16.0B more parameters than GLM-4.5V, making it 14.8% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Mistral AI
Pixtral Large
124.0Bparameters
108.0B
GLM-4.5V
124.0B
Pixtral Large

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to Pixtral Large's 128,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Pixtral Large is limited to 128,000 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Mistral AI
Pixtral Large
Input128,000 tokens
Output128,000 tokens
Tue Aug 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and Pixtral Large support multimodal inputs.

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

GLM-4.5V

Text
Images
Audio
Video

Pixtral Large

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V 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-4.5V

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-4.5V was released on 2025-08-11, while Pixtral Large was released on 2024-11-18.

GLM-4.5V is 9 months newer than Pixtral Large.

GLM-4.5V

Aug 11, 2025

1.0 years ago

8mo newer
Pixtral Large

Nov 18, 2024

1.8 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-4.5V is available from Fireworks, Novita. Pixtral Large is available from Mistral AI.

GLM-4.5V

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
novita logo
Novita
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M

Pixtral Large

mistral logo
Mistral
Input Price:Input: $2.00/1MOutput Price:Output: $6.00/1M
* 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-4.5V and Pixtral Large side-by-side, then vote on the output you prefer.

GLM-4.5V
✓ Preferred
Pixtral Large
Open in Playground

FAQ

Common questions about GLM-4.5V vs Pixtral Large.

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

GLM-4.5V (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-4.5V compare to Pixtral Large in benchmarks?

Pixtral Large scores AI2D: 93.8%, DocVQA: 93.3%, ChartQA: 88.1%, VQAv2: 80.9%, MM-MT-Bench: 74.0%.

Is GLM-4.5V cheaper than Pixtral Large?

GLM-4.5V is 3.6x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. Pixtral Large costs $2.00/M input and $6.00/M output via mistral.

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

GLM-4.5V supports 131K 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-4.5V and Pixtral Large?

Key differences include context window (131K vs 128K), input pricing ($0.55 vs $2.00/M), 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-4.5V and Pixtral Large?

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