Model Comparison
GLM-5 vs Claude Haiku 4.5Which is better in 2026?
GLM-5 significantly outperforms across most benchmarks. GLM-5 is 1.3x cheaper per token.
Verdict: GLM-5 vs Claude Haiku 4.5 — which is better?
GLM-5 (by Zhipu AI) and Claude Haiku 4.5 (by Anthropic) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.
GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Claude Haiku 4.5 is better at 0 benchmarks. GLM-5 significantly outperforms across most benchmarks.
On price, GLM-5 is roughly 1.3x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Choose GLM-5 if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 1.3x cheaper per token
- you want the most recent training data — it shipped Feb 2026
- you need open weights you can self-host or fine-tune
Choose Claude Haiku 4.5 if…
- you want predictable pricing at $1.00/M input and $5.00/M output
Performance Benchmarks
Comparative analysis across standard metrics
GLM-5 outperforms in 1 benchmarks (SWE-Bench Verified), while Claude Haiku 4.5 is better at 0 benchmarks.
GLM-5 significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, GLM-5 ($1.00/1M tokens) costs the same as Claude Haiku 4.5 ($1.00/1M tokens).
For output processing, GLM-5 ($3.20/1M tokens) is 1.6x cheaper than Claude Haiku 4.5 ($5.00/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than GLM-5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 200,000 tokens. GLM-5 can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input Capabilities
Supported data types and modalities
Claude Haiku 4.5 supports multimodal inputs, whereas GLM-5 does not.
Claude Haiku 4.5 can handle both text and other forms of data like images, making it suitable for multimodal applications.
GLM-5
Claude Haiku 4.5
License
Usage and distribution terms
GLM-5 is licensed under MIT, while Claude Haiku 4.5 uses a proprietary license.
License differences may affect how you can use these models in commercial or open-source projects.
MIT
Open weights
Proprietary
Closed source
Release Timeline
When each model was launched
GLM-5 was released on 2026-02-11, while Claude Haiku 4.5 was released on 2025-10-15.
GLM-5 is 4 months newer than Claude Haiku 4.5.
Feb 11, 2026
3 months ago
3mo newerOct 15, 2025
7 months ago
Knowledge Cutoff
When training data ends
Claude Haiku 4.5 has a documented knowledge cutoff of 2025-02-01, while GLM-5's cutoff date is not specified.
We can confirm Claude Haiku 4.5's training data extends to 2025-02-01, but cannot make a direct comparison without GLM-5's cutoff date.
—
Feb 2025
Provider Availability
GLM-5 is available from FriendliAI, ZAI. Claude Haiku 4.5 is available from Anthropic, Vertex AI.
GLM-5
Claude Haiku 4.5
Outputs Comparison
Key Takeaways
GLM-5
View detailsZhipu AI
Claude Haiku 4.5
View detailsAnthropic
Detailed Comparison
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FAQ
Common questions about GLM-5 vs Claude Haiku 4.5.