Model Comparison

GLM-5 vs Claude Opus 4

GLM-5 significantly outperforms across most benchmarks. GLM-5 is 19.4x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

1 benchmarks

GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Claude Opus 4 is better at 0 benchmarks.

GLM-5 significantly outperforms across most benchmarks.

Tue Apr 21 2026 • llm-stats.com

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 15.0x cheaper than Claude Opus 4 ($15.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 23.4x cheaper than Claude Opus 4 ($75.00/1M tokens).

In conclusion, Claude Opus 4 is more expensive than GLM-5.*

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

Lowest available price from all providers
Tue Apr 21 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Anthropic
Claude Opus 4
Input tokens$15.00
Output tokens$75.00
Best providerAnthropic
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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 Opus 4 is limited to 32,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Anthropic
Claude Opus 4
Input200,000 tokens
Output32,000 tokens
Tue Apr 21 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Claude Opus 4 supports multimodal inputs, whereas GLM-5 does not.

Claude Opus 4 can handle both text and other forms of data like images, making it suitable for multimodal applications.

GLM-5

Text
Images
Audio
Video

Claude Opus 4

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Claude Opus 4 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 Opus 4

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Claude Opus 4 was released on 2025-05-22.

GLM-5 is 9 months newer than Claude Opus 4.

GLM-5

Feb 11, 2026

2 months ago

8mo newer
Claude Opus 4

May 22, 2025

11 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. Claude Opus 4 is available from Anthropic, Bedrock, Google.

GLM-5

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

Claude Opus 4

anthropic logo
Anthropic
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
bedrock logo
AWS Bedrock
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
google logo
Google
Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M
* Prices shown are per million tokens

Outputs Comparison

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Key Takeaways

Zhipu AI
Less expensive input tokens
Less expensive output tokens
Has open weights
Higher SWE-Bench Verified score (77.8% vs 72.5%)
Anthropic
Supports multimodal inputs
Zhipu AIGLM-5
AnthropicClaude Opus 4
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Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Anthropic
Claude Opus 4

FAQ

Common questions about GLM-5 vs Claude Opus 4

GLM-5 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Claude Opus 4 is made by Anthropic. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.
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 Opus 4 scores MMMLU: 88.8%, TAU-bench Retail: 81.4%, GPQA: 79.6%, MMMU (validation): 76.5%, AIME 2025: 75.5%.
GLM-5 is 15.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Claude Opus 4 costs $15.00/M input and $75.00/M output via anthropic.
GLM-5 supports 200K tokens and Claude Opus 4 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 $15.00/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 Opus 4 is developed by Anthropic.