Claude Haiku 5.5 vs GLM-4.7
Claude Haiku 5.5 leads the LLM Stats Score 50.0 to 34.2. Claude Haiku 5.5 is 3.7x cheaper per token.
Anthropic · Zhipu AI · Updated for 2026
Which is better?
Claude Haiku 5.5 leads the overall LLM Stats Score 50.0 to 34.2, ranking #19 overall.
In the 1 individual benchmarks reported for both models, Claude Haiku 5.5 wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Claude Haiku 5.5 is roughly 3.7x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Claude Haiku 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 Haiku 5.5
- overall performance matters — it scores 50.0 and ranks #19 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- cost matters — it's about 3.7x cheaper per token
- you process long inputs — it offers a 1,000,000 token context window
- you want the most recent training data — it shipped Oct 2026
Choose GLM-4.7
- 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 · 13 for GLM-4.7
Claude Haiku 5.5 outperforms in 1 benchmarks (SWE-bench Multilingual), while GLM-4.7 is better at 0 benchmarks.
Claude Haiku 5.5 significantly outperforms across most 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 4.0x cheaper than GLM-4.7 ($0.40/1M tokens).
For output processing, Claude Haiku 5.5 ($0.50/1M tokens) is 3.5x cheaper than GLM-4.7 ($1.75/1M tokens).
In conclusion, GLM-4.7 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
Claude Haiku 5.5 accepts 1,000,000 input tokens compared to GLM-4.7's 202,752 tokens. GLM-4.7 can generate longer responses up to 202,752 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-4.7 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 5.5
GLM-4.7
License
Usage and distribution terms
Claude Haiku 5.5 is licensed under a proprietary license, while GLM-4.7 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-4.7 was released on 2025-12-22.
Claude Haiku 5.5 is 10 months newer than GLM-4.7.
Oct 7, 2026
1 days ago
9mo newerDec 22, 2025
9 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 5.5 has a documented knowledge cutoff of 2026-06-01, while GLM-4.7'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-4.7's cutoff date.
Jun 2026
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Provider Availability
Claude Haiku 5.5 is available from Anthropic. GLM-4.7 is available from DeepInfra, Fireworks, Novita.
Claude Haiku 5.5
GLM-4.7
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 5.5 and GLM-4.7 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 5.5 vs GLM-4.7.