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Claude Fable 5.1 vs GLM-5.3

Claude Fable 5.1 and GLM-5.3 are closely matched at 57.0 and 53.8 on the LLM Stats Score. GLM-5.3 is 9.3x cheaper per token.

Anthropic · Zhipu AI · Updated for 2026

Which is better?

Claude Fable 5.1 and GLM-5.3 are closely matched on the overall LLM Stats Score at 57.0 and 53.8.

In the 4 individual benchmarks reported for both models, Claude Fable 5.1 wins 3; this is a narrower head-to-head signal than the composite indexes.

On price, GLM-5.3 is roughly 9.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

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

Choose Claude Fable 5.1

  • you value its reported benchmark strengths — it wins 3 of 4 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose GLM-5.3

  • cost matters — it's about 9.3x cheaper per token

At a glance

The differences that matter most.

Core performance indexes
57.0
#1
53.8
#8
54.5
#4
53.1
#5
37.0
#17
43.4
#5
42.2
#1
39.9
#6
Cost, coverage & limits
Benchmark wins
3 of 4
1 of 4
Input price
$10.00 / M
$1.40 / M
Output price
$50.00 / M
$4.40 / M
Context window
1,000,000
1,000,000

Capability indexes

Additional strengths measured across groups of related public benchmarks

1 shared
Index
Claude Fable 5.1
GLM-5.3
31.6#8
34.0#3
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

7 reported for Claude Fable 5.1 · 17 for GLM-5.3

4 shared

Claude Fable 5.1 outperforms in 3 benchmarks (GDPval-AA, Humanity's Last Exam, Terminal-Bench 4.0), while GLM-5.3 is better at 1 benchmark (AutomationBench).

Claude Fable 5.1 shows notably better performance in the majority of benchmarks.

Thu Sep 03 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

GLM-5.3 costs less

For input processing, Claude Fable 5.1 ($10.00/1M tokens) is 7.1x more expensive than GLM-5.3 ($1.40/1M tokens).

For output processing, Claude Fable 5.1 ($50.00/1M tokens) is 11.4x more expensive than GLM-5.3 ($4.40/1M tokens).

In conclusion, Claude Fable 5.1 is more expensive than GLM-5.3.*

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

Lowest available price from all providers
Thu Sep 03 2026 • llm-stats.com
Anthropic
Claude Fable 5.1
Input tokens$10.00
Output tokens$50.00
Best providerAnthropic
Zhipu AI
GLM-5.3
Input tokens$1.40
Output tokens$4.40
Best providerFriendliAI
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Both models have the same input context window of 1,000,000 tokens. GLM-5.3 can generate longer responses up to 131,072 tokens, while Claude Fable 5.1 is limited to 128,000 tokens.

Anthropic
Claude Fable 5.1
Input1,000,000 tokens
Output128,000 tokens
Zhipu AI
GLM-5.3
Input1,000,000 tokens
Output131,072 tokens
Thu Sep 03 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Claude Fable 5.1 supports multimodal inputs, whereas GLM-5.3 does not.

Claude Fable 5.1 can handle both text and other forms of data like images, making it suitable for multimodal applications.

Claude Fable 5.1

Text
Images
Audio
Video

GLM-5.3

Text
Images
Audio
Video

Release Timeline

When each model was launched

Claude Fable 5.1 was released on 2026-09-01, while GLM-5.3 was released on 2026-08-14.

Claude Fable 5.1 is 1 month newer than GLM-5.3.

Claude Fable 5.1

Sep 1, 2026

1 days ago

2w newer
GLM-5.3

Aug 14, 2026

2 weeks 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 Fable 5.1 is available from Anthropic. GLM-5.3 is available from FriendliAI, Novita, ZAI.

Claude Fable 5.1

anthropic logo
Anthropic
Input Price:Input: $10.00/1MOutput Price:Output: $50.00/1M

GLM-5.3

friendli logo
FriendliAI
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
novita logo
Novita
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
z logo
Unknown Organization
Input Price:Input: $1.40/1MOutput Price:Output: $4.40/1M
* 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 Fable 5.1 and GLM-5.3 side-by-side, then vote on the output you prefer.

Claude Fable 5.1
✓ Preferred
GLM-5.3
Open in Playground

FAQ

Common questions about Claude Fable 5.1 vs GLM-5.3.

Which is better, Claude Fable 5.1 or GLM-5.3?

Claude Fable 5.1 and GLM-5.3 are closely matched on the LLM Stats Score at 57.0 and 53.8. Claude Fable 5.1 is made by Anthropic and GLM-5.3 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 Fable 5.1 compare to GLM-5.3 in benchmarks?

Claude Fable 5.1 scores OSWorld 2.0: 77.9%, CursorBench v3.2: 73.4%, Humanity's Last Exam: 65.0%, GDPval-AA: 61.8%, Terminal-Bench 4.0: 55.8%. GLM-5.3 scores Terminal-Bench 2.1: 88.2%, CyberGym: 84.5%, FrontierSWE: 78.1%, Toolathlon: 73.0%, DeepSWE 1.1: 66.9%.

Is Claude Fable 5.1 cheaper than GLM-5.3?

GLM-5.3 is 7.1x cheaper for input tokens. Claude Fable 5.1 costs $10.00/M input and $50.00/M output via anthropic. GLM-5.3 costs $1.40/M input and $4.40/M output via friendli.

What are the context window sizes for Claude Fable 5.1 and GLM-5.3?

Claude Fable 5.1 supports 1.0M tokens and GLM-5.3 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Claude Fable 5.1 and GLM-5.3?

Key differences include LLM Stats Score (57.0 vs 53.8), input pricing ($10.00 vs $1.40/M), multimodal support (yes vs no), licensing (Proprietary vs Unknown). See the full comparison above for benchmark-by-benchmark results.

Who makes Claude Fable 5.1 and GLM-5.3?

Claude Fable 5.1 is developed by Anthropic and GLM-5.3 is developed by Zhipu AI.