Model Comparison

GLM-4.5V vs GLM-4.7

Comparing GLM-4.5V and GLM-4.7 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-4.5V and GLM-4.7 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-4.5V costs less

For input processing, GLM-4.5V ($0.55/1M tokens) is 1.1x cheaper than GLM-4.7 ($0.60/1M tokens).

For output processing, GLM-4.5V ($2.19/1M tokens) is 1.0x cheaper than GLM-4.7 ($2.20/1M tokens).

In conclusion, GLM-4.7 is more expensive than GLM-4.5V.*

* 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-4.5V
Input tokens$0.55
Output tokens$2.19
Best providerFireworks
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue→

Model Size

Parameter count comparison

250.0B diff

GLM-4.7 has 250.0B more parameters than GLM-4.5V, making it 231.5% larger.

Zhipu AI
GLM-4.5V
108.0Bparameters
Zhipu AI
GLM-4.7
358.0Bparameters
108.0B
GLM-4.5V
358.0B
GLM-4.7

Context Window

Maximum input and output token capacity

GLM-4.7 accepts 202,800 input tokens compared to GLM-4.5V's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Zhipu AI
GLM-4.5V
Input131,072 tokens
Output131,072 tokens
Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Thu May 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both GLM-4.5V and GLM-4.7 support multimodal inputs.

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

GLM-4.5V

Text
Images
Audio
Video

GLM-4.7

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-4.5V

MIT

Open weights

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

GLM-4.5V was released on 2025-08-11, while GLM-4.7 was released on 2025-12-22.

GLM-4.7 is 4 months newer than GLM-4.5V.

GLM-4.5V

Aug 11, 2025

9 months ago

GLM-4.7

Dec 22, 2025

5 months ago

4mo 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

Provider Availability

GLM-4.5V is available from Fireworks, Novita. GLM-4.7 is available from Fireworks, Novita.

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

GLM-4.7

fireworks logo
Fireworks
Input Price:Input: $0.60/1MOutput Price:Output: $2.20/1M
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 input tokens
Less expensive output tokens
Zhipu AI
Larger context window (202,800 tokens)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-4.5V
Zhipu AI
GLM-4.7

FAQ

Common questions about GLM-4.5V vs GLM-4.7.

Which is better, GLM-4.5V or GLM-4.7?

GLM-4.5V (Zhipu AI) and GLM-4.7 (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-4.5V compare to GLM-4.7 in benchmarks?

GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.

Is GLM-4.5V cheaper than GLM-4.7?

GLM-4.5V is 1.1x cheaper for input tokens. GLM-4.5V costs $0.55/M input and $2.19/M output via fireworks. GLM-4.7 costs $0.60/M input and $2.20/M output via fireworks.

What are the context window sizes for GLM-4.5V and GLM-4.7?

GLM-4.5V supports 131K tokens and GLM-4.7 supports 203K 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 GLM-4.7?

Key differences include context window (131K vs 203K), input pricing ($0.55 vs $0.60/M). See the full comparison above for benchmark-by-benchmark results.