Model Comparison

Claude Opus 5 vs GLM-4.7Which is better in 2026?

Claude Opus 5 significantly outperforms across most benchmarks. GLM-4.7 is 10.0x cheaper per token.

Verdict: Claude Opus 5 vs GLM-4.7 — which is better?

Claude Opus 5 (by Anthropic) and GLM-4.7 (by Zhipu AI) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

Claude Opus 5 outperforms in 2 benchmarks (BrowseComp, Humanity's Last Exam), while GLM-4.7 is better at 0 benchmarks. Claude Opus 5 significantly outperforms across most benchmarks.

On price, GLM-4.7 is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Choose Claude Opus 5 if…

  • you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Jul 2026

Choose GLM-4.7 if…

  • cost matters — it's about 10.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Performance Benchmarks

Comparative analysis across standard metrics

2 benchmarks

Claude Opus 5 outperforms in 2 benchmarks (BrowseComp, Humanity's Last Exam), while GLM-4.7 is better at 0 benchmarks.

Claude Opus 5 significantly outperforms across most benchmarks.

Sat Jul 25 2026 • llm-stats.com

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

GLM-4.7 costs less

For input processing, Claude Opus 5 ($5.00/1M tokens) is 8.3x more expensive than GLM-4.7 ($0.60/1M tokens).

For output processing, Claude Opus 5 ($25.00/1M tokens) is 11.4x more expensive than GLM-4.7 ($2.20/1M tokens).

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

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

Lowest available price from all providers
Sat Jul 25 2026 • llm-stats.com
Anthropic
Claude Opus 5
Input tokens$5.00
Output tokens$25.00
Best providerAnthropic
Zhipu AI
GLM-4.7
Input tokens$0.60
Output tokens$2.20
Best providerFireworks
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Claude Opus 5 accepts 1,000,000 input tokens compared to GLM-4.7's 202,800 tokens. GLM-4.7 can generate longer responses up to 131,072 tokens, while Claude Opus 5 is limited to 128,000 tokens.

Anthropic
Claude Opus 5
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.7
Input202,800 tokens
Output131,072 tokens
Sat Jul 25 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Claude Opus 5 and GLM-4.7 support multimodal inputs.

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

Claude Opus 5

Text
Images
Audio
Video

GLM-4.7

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 5 is licensed under a proprietary license, while GLM-4.7 uses MIT.

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

Claude Opus 5

Proprietary

Closed source

GLM-4.7

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 5 was released on 2026-07-24, while GLM-4.7 was released on 2025-12-22.

Claude Opus 5 is 7 months newer than GLM-4.7.

Claude Opus 5

Jul 24, 2026

1 days ago

7mo newer
GLM-4.7

Dec 22, 2025

7 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

Claude Opus 5 is available from Anthropic. GLM-4.7 is available from Fireworks, Novita.

Claude Opus 5

anthropic logo
Anthropic
Input Price:Input: $5.00/1MOutput Price:Output: $25.00/1M

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

Notice missing or incorrect data?Start an Issue discussion

Key Takeaways

Larger context window (1,000,000 tokens)
Higher BrowseComp score (90.8% vs 52.0%)
Higher Humanity's Last Exam score (64.7% vs 42.8%)
Less expensive input tokens
Less expensive output tokens
Has open weights

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Claude Opus 5 and GLM-4.7 side-by-side, then vote on the output you prefer.

Claude Opus 5
✓ Preferred
GLM-4.7
Open in Playground
AI Model Comparison Table
Feature
Anthropic
Claude Opus 5
Zhipu AI
GLM-4.7

FAQ

Common questions about Claude Opus 5 vs GLM-4.7.

Which is better, Claude Opus 5 or GLM-4.7?

Claude Opus 5 significantly outperforms across most benchmarks. Claude Opus 5 is made by Anthropic and GLM-4.7 is made by Zhipu AI. The best choice depends on your use case — compare their benchmark scores, pricing, and capabilities above.

How does Claude Opus 5 compare to GLM-4.7 in benchmarks?

Claude Opus 5 scores BrowseComp: 90.8%, BioMysteryBench: 90.1%, OSWorld 2.0: 70.6%, DeepSWE 1.1: 68.8%, Humanity's Last Exam: 64.7%. GLM-4.7 scores AIME 2025: 95.7%, Tau-bench: 87.4%, GPQA: 85.7%, LiveCodeBench v6: 84.9%, MMLU-Pro: 84.3%.

Is Claude Opus 5 cheaper than GLM-4.7?

GLM-4.7 is 8.3x cheaper for input tokens. Claude Opus 5 costs $5.00/M input and $25.00/M output via anthropic. GLM-4.7 costs $0.60/M input and $2.20/M output via fireworks.

What are the context window sizes for Claude Opus 5 and GLM-4.7?

Claude Opus 5 supports 1.0M 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 Claude Opus 5 and GLM-4.7?

Key differences include context window (1.0M vs 203K), input pricing ($5.00 vs $0.60/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 5 and GLM-4.7?

Claude Opus 5 is developed by Anthropic and GLM-4.7 is developed by Zhipu AI.