Model Comparison

GLM-4.5V vs Pixtral-12B

Comparing GLM-4.5V and Pixtral-12B across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and Pixtral-12B don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Pixtral-12B costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 3.7x more expensive than Pixtral-12B ($0.15/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 14.6x more expensive than Pixtral-12B ($0.15/1M tokens).

In conclusion, GLM-4.5V is more expensive than Pixtral-12B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Thu Apr 30 2026 • llm-stats.com
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Mistral AI
Pixtral-12B
Input tokens$0.15
Output tokens$0.15
Best providerMistral
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

95.6B diff

GLM-4.5V has 95.6B more parameters than Pixtral-12B, making it 771.0% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Mistral AI
Pixtral-12B
12.4Bparameters
108.0B
GLM-4.5V
12.4B
Pixtral-12B

Context Window

Maximum input and output token capacity

GLM-4.5V accepts 131,072 input tokens compared to Pixtral-12B's 128,000 tokens. GLM-4.5V can generate longer responses up to 131,072 tokens, while Pixtral-12B is limited to 8,192 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Mistral AI
Pixtral-12B
Input128,000 tokens
Output8,192 tokens
Thu Apr 30 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and Pixtral-12B 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-12B

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-4.5V is licensed under MIT, while Pixtral-12B uses Apache 2.0.

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

GLM-4.5V

MIT

Open weights

Pixtral-12B

Apache 2.0

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while Pixtral-12B was released on 2024-09-17.

GLM-4.5V is 11 months newer than Pixtral-12B.

GLM-4.5V

Aug 11, 2025

8 months ago

10mo newer
Pixtral-12B

Sep 17, 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

Provider Availability

GLM-4.5V is available from Fireworks, Novita. Pixtral-12B 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-12B

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→

Key Takeaways

Zhipu AI
Larger context window (131,072 tokens)
Mistral AI
Less expensive input tokens
Less expensive output tokens

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
Mistral AI
Pixtral-12B

FAQ

Common questions about GLM-4.5V vs Pixtral-12B

GLM-4.5V (Zhipu AI) and Pixtral-12B (Mistral AI) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
Pixtral-12B scores DocVQA: 90.7%, ChartQA: 81.8%, VQAv2: 78.6%, MT-Bench: 76.8%, HumanEval: 72.0%.
Pixtral-12B is 3.7x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. Pixtral-12B costs $0.15/M input and $0.15/M output via mistral.
GLM-4.5V supports 131K tokens and Pixtral-12B supports 128K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (131K vs 128K), input pricing ($0.55 vs $0.15/M), licensing (MIT vs Apache 2.0). See the full comparison above for benchmark-by-benchmark results.
GLM-4.5V is developed by Zhipu AI and Pixtral-12B is developed by Mistral AI.