Claude Haiku 5.5 vs GLM-5.3
Claude Haiku 5.5 and GLM-5.3 are closely matched at 49.9 and 50.9 on the LLM Stats Score. Claude Haiku 5.5 is 9.5x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Haiku 5.5 and GLM-5.3 are closely matched on the overall LLM Stats Score at 49.9 and 50.9.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Claude Haiku 5.5 is roughly 9.5x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3 also accepts a larger context window (1,048,576 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 Haiku 5.5
- cost matters — it's about 9.5x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose GLM-5.3
- you process long inputs — it offers a 1,048,576 token context window
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
36 reported for Claude Haiku 5.5 · 17 for GLM-5.3
Claude Haiku 5.5 outperforms in 1 benchmarks (Program Bench), while GLM-5.3 is better at 1 benchmark (Terminal-Bench 4.0).
Both models are evenly matched across the benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 5.5 ($0.10/1M tokens) is 12.0x cheaper than GLM-5.3 ($1.20/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 8.0x cheaper than GLM-5.3 ($4.00/1M tokens).
In conclusion, GLM-5.3 is more expensive than Claude Haiku 5.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GLM-5.3 accepts 1,048,576 input tokens compared to Claude Haiku 5.5's 1,000,000 tokens. GLM-5.3 can generate longer responses up to 1,048,576 tokens, while Claude Haiku 5.5 is limited to 128,000 tokens.
Input capabilities
Documented input modalities across available providers
Claude Haiku 5.5 supports multimodal inputs, whereas GLM-5.3 does not.
Claude Haiku 5.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
Claude Haiku 5.5
GLM-5.3
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while GLM-5.3 uses GLM-5.3 License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
GLM-5.3 License
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while GLM-5.3 was released on 2026-08-14.
Claude Haiku 5.5 is 2 months newer than GLM-5.3.
Oct 7, 2026
2 weeks ago
1mo newerAug 14, 2026
2 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while GLM-5.3's cutoff date is not specified.
We can confirm Claude Haiku 5.5's training data extends to 2026-06-01, but cannot make a direct comparison without GLM-5.3's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. GLM-5.3 is available from DeepInfra, FriendliAI, Novita, ZAI.
Claude Haiku 5.5
GLM-5.3
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and GLM-5.3 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs GLM-5.3.