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Claude Opus 5.5 vs GLM-4.5

Claude Opus 5.5 leads the LLM Stats Score 59.7 to 27.7. GLM-4.5 is 11.4x cheaper per token.

Anthropic · Zhipu AI · Updated for 2026

Which is better?

Claude Opus 5.5 leads the overall LLM Stats Score 59.7 to 27.7, ranking #1 overall.

On price, GLM-4.5 is roughly 11.4x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 5.5 also accepts a larger context window (1,000,000 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Claude Opus 5.5

  • overall performance matters — it scores 59.7 and ranks #1 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,000,000 token context window
  • you want the most recent training data — it shipped Sep 2026

Choose GLM-4.5

  • cost matters — it's about 11.4x cheaper per token
  • you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Claude Opus 5.5
Anthropic
GLM-4.5
Zhipu AI
Core performance indexes
LLM Stats Score
59.7
#1
27.7
#146
Reasoning
57.8
#1
27.1
#146
Coding
51.7
#1
16.1
#133
Agents
44.5
#2
9.8
#126
Cost, coverage & limits
Benchmark wins
—
—
Input price
$4.00 / M
$0.40 / M
Output price
$20.00 / M
$1.60 / M
Context window
1,000,000
131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Claude Opus 5.5
GLM-4.5
Math
42.5#5
27.0#101
Tool use
32.9#2
21.3#51
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

31 reported for Claude Opus 5.5 · 14 for GLM-4.5

No common benchmarks found

Claude Opus 5.5 and GLM-4.5don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.5 costs less

For input processing, Claude Opus 5.5 ($4.00/1M tokens) is 10.0x more expensive than GLM-4.5 ($0.40/1M tokens).

For output processing, Claude Opus 5.5 ($20.00/1M tokens) is 12.5x more expensive than GLM-4.5 ($1.60/1M tokens).

In conclusion, Claude Opus 5.5 is more expensive than GLM-4.5.*

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

Lowest available price from all providers
Tue Sep 22 2026 • llm-stats.com
Anthropic
Claude Opus 5.5
Input tokens$4.00
Output tokens$20.00
Best providerAnthropic
Zhipu AI
GLM-4.5
Input tokens$0.40
Output tokens$1.60
Best providerDeepinfra
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 5.5 accepts 1,000,000 input tokens compared to GLM-4.5's 131,072 tokens. GLM-4.5 can generate longer responses up to 131,072 tokens, while Claude Opus 5.5 is limited to 128,000 tokens.

Anthropic
Claude Opus 5.5
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-4.5
Input131,072 tokens
Output131,072 tokens
Tue Sep 22 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Opus 5.5 supports multimodal inputs, whereas GLM-4.5 does not.

Claude Opus 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Opus 5.5

Text
Images
Audio
Video

GLM-4.5

Text
Images
Audio
Video

License

Usage and distribution terms

Claude Opus 5.5 is licensed under a proprietary license, while GLM-4.5 uses MIT.

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

Claude Opus 5.5

Proprietary

Closed source

GLM-4.5

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 5.5 was released on 2026-09-22, while GLM-4.5 was released on 2025-07-28.

Claude Opus 5.5 is 14 months newer than GLM-4.5.

Claude Opus 5.5

Sep 22, 2026

0 days ago

1.2yr newer
GLM-4.5

Jul 28, 2025

1.2 years ago

Knowledge Cutoff

When training data ends

Claude Opus 5.5 has a documented knowledge cutoff of 2026-06-01, while GLM-4.5's cutoff date is not specified.

We can confirm Claude Opus 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-4.5's cutoff date.

Claude Opus 5.5

Jun 2026

GLM-4.5

—

Provider Availability

Claude Opus 5.5 is available from Anthropic. GLM-4.5 is available from DeepInfra, Fireworks, Novita.

Claude Opus 5.5

anthropic logo
Anthropic
Input Price:Input: $4.00/1MOutput Price:Output: $20.00/1M

GLM-4.5

deepinfra logo
Deepinfra
Input Price:Input: $0.40/1MOutput Price:Output: $1.60/1M
fireworks logo
Fireworks
Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M
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→

Judge for yourself.

Run your own prompts against Claude Opus 5.5 and GLM-4.5 side-by-side, then vote on the output you prefer.

Claude Opus 5.5
✓ Preferred
GLM-4.5
Open in Playground

FAQ

Common questions about Claude Opus 5.5 vs GLM-4.5.

Which is better, Claude Opus 5.5 or GLM-4.5?

Claude Opus 5.5 leads the LLM Stats Score 59.7 to 27.7. Claude Opus 5.5 is made by Anthropic and GLM-4.5 is made by Zhipu AI. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Claude Opus 5.5 compare to GLM-4.5 in benchmarks?

Claude Opus 5.5 scores BenchCAD (with Python tool): 96.2%, Global-MMLU: 94.3%, SWE-bench Multilingual: 93.9%, MILU: 93.1%, ArXivMath: 91.2%. GLM-4.5 scores MATH-500: 98.2%, AIME 2024: 91.0%, MMLU-Pro: 84.6%, TAU-bench Retail: 79.7%, GPQA: 79.1%.

Is Claude Opus 5.5 cheaper than GLM-4.5?

GLM-4.5 is 10.0x cheaper for input tokens. Claude Opus 5.5 costs $4.00/M input and $20.00/M output via anthropic. GLM-4.5 costs $0.40/M input and $1.60/M output via deepinfra.

What are the context window sizes for Claude Opus 5.5 and GLM-4.5?

Claude Opus 5.5 supports 1.0M tokens and GLM-4.5 supports 131K 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 5.5 and GLM-4.5?

Key differences include LLM Stats Score (59.7 vs 27.7), context window (1.0M vs 131K), input pricing ($4.00 vs $0.40/M), multimodal support (yes vs no), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 5.5 and GLM-4.5?

Claude Opus 5.5 is developed by Anthropic and GLM-4.5 is developed by Zhipu AI.

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