Model Comparison

GLM-4.6 vs GLM-4.5V

Comparing GLM-4.6 and GLM-4.5V across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.6 and GLM-4.5V 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

GLM-4.6 costs less

For input processing, GLM-4.6 ($0.55/1M tokens) costs the same as GLM-4.5V ($0.55/1M tokens).

For output processing, GLM-4.6 ($2.00/1M tokens) is 1.1x cheaper than GLM-4.5V ($2.19/1M tokens).

In conclusion, GLM-4.5V is more expensive than GLM-4.6.*

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

Lowest available price from all providers
Thu May 21 2026 • llm-stats.com
Zhipu AI
GLM-4.6
Input tokens$0.55
Output tokens$2.00
Best providerFireworks
Zhipu AI
GLM-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

249.0B diff

GLM-4.6 has 249.0B more parameters than GLM-4.5V, making it 230.6% larger.

Zhipu AI
GLM-4.6
357.0Bparameters
Zhipu AI
GLM-4.5V
108.0Bparameters
357.0B
GLM-4.6
108.0B
GLM-4.5V

Context Window

Maximum input and output token capacity

Both models have the same input context window of 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-4.6
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Thu May 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.6 and GLM-4.5V support multimodal inputs.

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

GLM-4.6

Text
Images
Audio
Video

GLM-4.5V

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under MIT.

Both models share the same licensing terms, providing consistent usage rights.

GLM-4.6

MIT

Open weights

GLM-4.5V

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.6 was released on 2025-09-30, while GLM-4.5V was released on 2025-08-11.

GLM-4.6 is 2 months newer than GLM-4.5V.

GLM-4.6

Sep 30, 2025

7 months ago

1mo newer
GLM-4.5V

Aug 11, 2025

9 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-4.6 is available from Fireworks, DeepInfra. GLM-4.5V is available from Fireworks, Novita.

GLM-4.6

fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
deepinfra logo
Deepinfra
Input Price:Input: $0.60/1MOutput Price:Output: $2.00/1M

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
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive output tokens
Zhipu AI

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

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.6
Zhipu AI
GLM-4.5V

FAQ

Common questions about GLM-4.6 vs GLM-4.5V.

Which is better, GLM-4.6 or GLM-4.5V?

GLM-4.6 (Zhipu AI) and GLM-4.5V (Zhipu 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-4.6 compare to GLM-4.5V in benchmarks?

GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%.

Is GLM-4.6 cheaper than GLM-4.5V?

Both models cost $0.55 per million input tokens.

What are the context window sizes for GLM-4.6 and GLM-4.5V?

GLM-4.6 supports 131K tokens and GLM-4.5V supports 131K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.