Claude Haiku 5.5 vs GLM-5.3-Flash
Claude Haiku 5.5 and GLM-5.3-Flash are closely matched at 50.3 and 49.0 on the LLM Stats Score. Claude Haiku 5.5 is 1.2x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Haiku 5.5 and GLM-5.3-Flash are closely matched on the overall LLM Stats Score at 50.3 and 49.0.
The models split the 2 individual benchmarks reported for both models evenly.
On price, Claude Haiku 5.5 is roughly 1.2x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GLM-5.3-Flash 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 1.2x cheaper per token
- you want the most recent training data — it shipped Oct 2026
Choose GLM-5.3-Flash
- 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 · 15 for GLM-5.3-Flash
Claude Haiku 5.5 outperforms in 1 benchmarks (Chartography), while GLM-5.3-Flash is better at 1 benchmark (OfficeQA Pro).
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 1.5x cheaper than GLM-5.3-Flash ($0.15/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) costs the same as GLM-5.3-Flash ($0.50/1M tokens).
In conclusion, GLM-5.3-Flash 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-Flash accepts 1,048,576 input tokens compared to Claude Haiku 5.5's 1,000,000 tokens. GLM-5.3-Flash 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
Both Claude Haiku 5.5 and GLM-5.3-Flash support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
GLM-5.3-Flash
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while GLM-5.3-Flash uses MIT.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
MIT
Open weights
Release Timeline
When each model was launched
Claude Haiku 5.5 was released on 2026-10-07, while GLM-5.3-Flash was released on 2026-08-26.
Claude Haiku 5.5 is 1 month newer than GLM-5.3-Flash.
Oct 7, 2026
0 days ago
1mo newerAug 26, 2026
1 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-Flash'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-Flash's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. GLM-5.3-Flash is available from DeepInfra, FriendliAI, Novita, ZAI.
Claude Haiku 5.5
GLM-5.3-Flash
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and GLM-5.3-Flash side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs GLM-5.3-Flash.