Claude Opus 4.1 vs GLM-4.6

Claude Opus 4.1 and GLM-4.6 are closely matched at 30.0 and 29.4 on the LLM Stats Score. GLM-4.6 is 32.9x cheaper per token.

Anthropic · Zhipu AI · Updated for 2026

Which is better?

Claude Opus 4.1 and GLM-4.6 are closely matched on the overall LLM Stats Score at 30.0 and 29.4.

The models split the 4 individual benchmarks reported for both models evenly.

On price, GLM-4.6 is roughly 32.9x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Claude Opus 4.1 also accepts a larger context window (200,000 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 4.1

you process long inputs — it offers a 200,000 token context window

Choose GLM-4.6

cost matters — it's about 32.9x cheaper per token
you want the most recent training data — it shipped Sep 2025
you need open weights you can self-host or fine-tune

At a glance

The differences that matter most.

Better token value: GLM-4.6

Core performance indexes

LLM Stats Score

30.0

#115 · 8 evals

Best

29.4

#121 · 7 evals

Reasoning

30.1

#110 · 8 evals

Best

29.3

#113 · 7 evals

Coding

21.8

#79 · 2 evals

Best

15.2

#123 · 2 evals

Agents

13.1

#88 · 1 evals

Best

9.7

#116 · 2 evals

Cost, coverage & limits

Benchmark wins

2 of 4

Input price

$15.00 / M

$0.55 / M

Best

Output price

$75.00 / M

$2.00 / M

Best

Context window

200,000

Best

131,072

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared

Index

Claude Opus 4.1

GLM-4.6

Math

22.4#132 · 2 evals

25.0#109 · 2 evals

Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

8 reported for Claude Opus 4.1 · 7 for GLM-4.6

4 shared

Claude Opus 4.1 outperforms in 2 benchmarks (SWE-Bench Verified, Terminal-Bench), while GLM-4.6 is better at 2 benchmarks (AIME 2025, GPQA).

Both models are evenly matched across the benchmarks.

Mon Sep 07 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-4.6 costs less

For input processing, Claude Opus 4.1 ($15.00/1M tokens) is 27.3x more expensive than GLM-4.6 ($0.55/1M tokens).

For output processing, Claude Opus 4.1 ($75.00/1M tokens) is 37.5x more expensive than GLM-4.6 ($2.00/1M tokens).

In conclusion, Claude Opus 4.1 is more expensive than GLM-4.6.*

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

Lowest available price from all providers

Mon Sep 07 2026 • llm-stats.com

Claude Opus 4.1

Input tokens$15.00

Output tokens$75.00

Best providerAnthropic

GLM-4.6

Input tokens$0.55

Output tokens$2.00

Best providerFireworks

Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Claude Opus 4.1 accepts 200,000 input tokens compared to GLM-4.6's 131,072 tokens. GLM-4.6 can generate longer responses up to 131,072 tokens, while Claude Opus 4.1 is limited to 32,000 tokens.

Claude Opus 4.1

Input200,000 tokens

Output32,000 tokens

GLM-4.6

Input131,072 tokens

Output131,072 tokens

Mon Sep 07 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Claude Opus 4.1 and GLM-4.6 support multimodal inputs.

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

Claude Opus 4.1

Text

Images

Audio

Video

GLM-4.6

Text

Images

Audio

Video

License

Usage and distribution terms

Claude Opus 4.1 is licensed under a proprietary license, while GLM-4.6 uses MIT.

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

Claude Opus 4.1

Proprietary

Closed source

GLM-4.6

MIT

Open weights

Release Timeline

When each model was launched

Claude Opus 4.1 was released on 2025-08-05, while GLM-4.6 was released on 2025-09-30.

GLM-4.6 is 2 months newer than Claude Opus 4.1.

Claude Opus 4.1

Aug 5, 2025

1.1 years ago

GLM-4.6

Sep 30, 2025

11 months ago

1mo 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

Claude Opus 4.1 is available from Anthropic, Bedrock, Google. GLM-4.6 is available from Fireworks, DeepInfra.

Claude Opus 4.1

Anthropic

Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

AWS Bedrock

Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

Google

Input Price:Input: $15.00/1MOutput Price:Output: $75.00/1M

GLM-4.6

Fireworks

Input Price:Input: $0.55/1MOutput Price:Output: $2.19/1M

Deepinfra

Input Price:Input: $0.60/1MOutput Price:Output: $2.00/1M

* 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 4.1 and GLM-4.6 side-by-side, then vote on the output you prefer.

Claude Opus 4.1

✓ Preferred

GLM-4.6

Open in Playground

FAQ

Common questions about Claude Opus 4.1 vs GLM-4.6.

Which is better, Claude Opus 4.1 or GLM-4.6?

Claude Opus 4.1 and GLM-4.6 are closely matched on the LLM Stats Score at 30.0 and 29.4. Claude Opus 4.1 is made by Anthropic and GLM-4.6 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 4.1 compare to GLM-4.6 in benchmarks?

Claude Opus 4.1 scores MMMLU: 89.5%, TAU-bench Retail: 82.4%, GPQA: 80.9%, AIME 2025: 78.0%, MMMU (validation): 77.1%. GLM-4.6 scores AIME 2025: 93.9%, LiveCodeBench v6: 82.8%, GPQA: 81.0%, SWE-Bench Verified: 68.0%, BrowseComp: 45.1%.

Is Claude Opus 4.1 cheaper than GLM-4.6?

GLM-4.6 is 27.3x cheaper for input tokens. Claude Opus 4.1 costs $15.00/M input and $75.00/M output via anthropic. GLM-4.6 costs $0.55/M input and $2.00/M output via fireworks.

What are the context window sizes for Claude Opus 4.1 and GLM-4.6?

Claude Opus 4.1 supports 200K tokens and GLM-4.6 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 4.1 and GLM-4.6?

Key differences include LLM Stats Score (30.0 vs 29.4), context window (200K vs 131K), input pricing ($15.00 vs $0.55/M), licensing (Proprietary vs MIT). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Opus 4.1 and GLM-4.6?

Claude Opus 4.1 is developed by Anthropic and GLM-4.6 is developed by Zhipu AI.

Claude Opus 4.1 vs GLM-4.6