Model Comparison

GLM-5 vs Claude Opus 4.7

Claude Opus 4.7 significantly outperforms across most benchmarks. GLM-5 is 6.5x cheaper per token.

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Performance Benchmarks

Comparative analysis across standard metrics

4 benchmarks

GLM-5 outperforms in 0 benchmarks, while Claude Opus 4.7 is better at 4 benchmarks (BrowseComp, MCP Atlas, SWE-Bench Verified, Terminal-Bench 2.0).

Claude Opus 4.7 significantly outperforms across most benchmarks.

Thu Apr 16 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 5.0x cheaper than Claude Opus 4.7 ($5.00/1M tokens).

For output processing, GLM-5 ($3.20/1M tokens) is 7.8x cheaper than Claude Opus 4.7 ($25.00/1M tokens).

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

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

Lowest available price from all providers
Thu Apr 16 2026 • llm-stats.com
Zhipu AI
GLM-5
Input tokens$1.00
Output tokens$3.20
Best providerUnknown Organization
Anthropic
Claude Opus 4.7
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 4.7 accepts 1,000,000 input tokens compared to GLM-5's 200,000 tokens. Both models can generate responses up to 128,000 tokens.

Zhipu AI
GLM-5
Input200,000 tokens
Output128,000 tokens
Anthropic
Claude Opus 4.7
Input1,000,000 tokens
Output128,000 tokens
Thu Apr 16 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

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

Claude Opus 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

Claude Opus 4.7

Text
Images
Audio
Video

License

Usage and distribution terms

GLM-5 is licensed under MIT, while Claude Opus 4.7 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 4.7

Proprietary

Closed source

Release Timeline

When each model was launched

GLM-5 was released on 2026-02-11, while Claude Opus 4.7 was released on 2026-04-16.

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

GLM-5

Feb 11, 2026

2 months ago

Claude Opus 4.7

Apr 16, 2026

0 days ago

2mo 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-5 is available from ZAI. Claude Opus 4.7 is available from Anthropic.

GLM-5

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

Claude Opus 4.7

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M
* 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
Anthropic
Larger context window (1,000,000 tokens)
Supports multimodal inputs
Higher BrowseComp score (79.3% vs 75.9%)
Higher MCP Atlas score (77.3% vs 67.8%)
Higher SWE-Bench Verified score (87.6% vs 77.8%)
Higher Terminal-Bench 2.0 score (69.4% vs 56.2%)

Detailed Comparison

AI Model Comparison Table
Feature
Zhipu AI
GLM-5
Anthropic
Claude Opus 4.7

FAQ

Common questions about GLM-5 vs Claude Opus 4.7

Claude Opus 4.7 significantly outperforms across most benchmarks. GLM-5 is made by Zhipu AI and Claude Opus 4.7 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 4.7 scores GPQA: 94.2%, MMMLU: 91.5%, CharXiv-R: 91.0%, SWE-Bench Verified: 87.6%, BrowseComp: 79.3%.
GLM-5 is 5.0x cheaper for input tokens. GLM-5 costs $1.00/M input and $3.20/M output via z. Claude Opus 4.7 costs $5.00/M input and $25.00/M output via anthropic.
GLM-5 supports 200K tokens and Claude Opus 4.7 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.
Key differences include context window (200K vs 1.0M), input pricing ($1.00 vs $5.00/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 4.7 is developed by Anthropic.