GLM-5 vs GLM-4.7 Comparison

Comparing GLM-5 and GLM-4.7 across benchmarks, pricing, and capabilities.

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Performance Benchmarks

Comparative analysis across standard metrics

3 benchmarks

GLM-5 outperforms in 3 benchmarks (BrowseComp, SWE-Bench Verified, Terminal-Bench 2.0), while GLM-4.7 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Mar 17 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 1.7x more expensive than GLM-4.7 ($0.60/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 1.5x more expensive than GLM-4.7 ($2.20/1M tokens).

In conclusion, GLM-5 is more expensive than GLM-4.7.*

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

Lowest available price from all providers

Tue Mar 17 2026 • llm-stats.com

GLM-5

Input tokens$1.00

Output tokens$3.20

Best providerUnknown Organization

GLM-4.7

Input tokens$0.60

Output tokens$2.20

Best providerFireworks

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Model Size

Parameter count comparison

386.0B diff

GLM-5 has 386.0B more parameters than GLM-4.7, making it 107.8% larger.

GLM-5

744.0Bparameters

GLM-4.7

358.0Bparameters

744.0B

GLM-5

358.0B

GLM-4.7

Context Window

Maximum input and output token capacity

GLM-4.7 accepts 202,800 input tokens compared to GLM-5's 200,000 tokens. GLM-4.7 can generate longer responses up to 131,072 tokens, while GLM-5 is limited to 128,000 tokens.

GLM-5

Input200,000 tokens

Output128,000 tokens

GLM-4.7

Input202,800 tokens

Output131,072 tokens

Tue Mar 17 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

GLM-4.7 supports multimodal inputs, whereas GLM-5 does not.

GLM-4.7 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

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-5

MIT

Open weights

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while GLM-4.7 was released on 2025-12-22.

GLM-5 is 2 months newer than GLM-4.7.

GLM-5

Feb 11, 2026

1 months ago

1mo newer

GLM-4.7

Dec 22, 2025

2 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-5 is available from ZAI. GLM-4.7 is available from Fireworks, Novita. The availability of providers can affect quality of the model and reliability.