Model Comparison

GLM-5 vs Claude Sonnet 4.5

Comparing GLM-5 and Claude Sonnet 4.5 across benchmarks, pricing, and capabilities.

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

GLM-5 and Claude Sonnet 4.5 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-5 costs less

For input processing, GLM-5 ($1.00/1M tokens) is 3.0x cheaper than Claude Sonnet 4.5 ($3.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 4.7x cheaper than Claude Sonnet 4.5 ($15.00/1M tokens).

In conclusion, Claude Sonnet 4.5 is more expensive than GLM-5.*

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

Lowest available price from all providers
Tue Apr 14 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Anthropic
Claude Sonnet 4.5
Input tokens$3.00
Output tokens$15.00
Best providerAnthropic
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Claude Sonnet 4.5 is limited to 64,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Anthropic
Claude Sonnet 4.5
Input200,000 tokens
Output64,000 tokens
Tue Apr 14 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Sonnet 4.5 supports multimodal inputs, whereas GLM-5 does not.

Claude Sonnet 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Claude Sonnet 4.5

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Claude Sonnet 4.5 uses a proprietary license.

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

GLM-5

MIT

Open weights

Claude Sonnet 4.5

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Claude Sonnet 4.5 was released on 2025-09-29.

GLM-5 is 5 months newer than Claude Sonnet 4.5.

GLM-5

Feb 11, 2026

2 months ago

4mo newer
Claude Sonnet 4.5

Sep 29, 2025

6 months ago

Knowledge Cutoff

When training data ends

Claude Sonnet 4.5 has a documented knowledge cutoff of 2025-01-31, while GLM-5's cutoff date is not specified.

We can confirm Claude Sonnet 4.5's training data extends to 2025-01-31, but cannot make a direct comparison without GLM-5's cutoff date.

GLM-5

Claude Sonnet 4.5

Jan 2025

Provider Availability

GLM-5 is available from ZAI. Claude Sonnet 4.5 is available from Anthropic.

GLM-5

z logo
Unknown Organization
Input Price:Input: $1.00/1MOutput Price:Output: $3.20/1M

Claude Sonnet 4.5

anthropic logo
Anthropic
Input Price:Input: $3.00/1MOutput Price:Output: $15.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Less expensive input tokens
Less expensive output tokens
Has open weights
Supports multimodal inputs

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Anthropic
Claude Sonnet 4.5

FAQ

Common questions about GLM-5 vs Claude Sonnet 4.5

GLM-5 (Zhipu AI) and Claude Sonnet 4.5 (Anthropic) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.
GLM-5 scores t2-bench: 89.7%, SWE-Bench Verified: 77.8%, BrowseComp: 75.9%, MCP Atlas: 67.8%, Terminal-Bench 2.0: 56.2%. Claude Sonnet 4.5 scores MMMLU: 89.1%, AIME 2025: 87.0%, TAU-bench Retail: 86.2%, GPQA: 83.4%, MMMUval: 77.8%.
GLM-5 is 3.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Claude Sonnet 4.5 costs $3.00/M input and $15.00/M output via anthropic.
GLM-5 supports 200K tokens and Claude Sonnet 4.5 supports 200K tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include input pricing ($1.00 vs $3.00/M), multimodal support (no vs yes), licensing (MIT vs Proprietary). See the full comparison above for benchmark-by-benchmark results.
GLM-5 is developed by Zhipu AI and Claude Sonnet 4.5 is developed by Anthropic.