Model Comparison
Claude Haiku 4.5 vs GPT-5.6 LunaWhich is better in 2026?
GPT-5.6 Luna significantly outperforms across most benchmarks. Claude Haiku 4.5 is 1.1x cheaper per token.
Verdict: Claude Haiku 4.5 vs GPT-5.6 Luna — which is better?
Claude Haiku 4.5 (by Anthropic) and GPT-5.6 Luna (by OpenAI) 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.
Claude Haiku 4.5 outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 2 benchmarks (GDPval-AA, GPQA). GPT-5.6 Luna significantly outperforms across most benchmarks.
On price, Claude Haiku 4.5 is roughly 1.1x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-5.6 Luna also accepts a larger context window (1,050,000 input tokens), making it the stronger choice for long documents and large codebases.
Choose Claude Haiku 4.5 if…
- cost matters — it's about 1.1x cheaper per token
Choose GPT-5.6 Luna if…
- you want the strongest raw capability — it leads on 2 of 2 shared benchmarks
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Claude Haiku 4.5 outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 2 benchmarks (GDPval-AA, GPQA).
GPT-5.6 Luna significantly outperforms across most benchmarks.
Arena Performance
Human preference votes
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) costs the same as GPT-5.6 Luna ($1.00/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 1.2x cheaper than GPT-5.6 Luna ($6.00/1M tokens).
In conclusion, GPT-5.6 Luna is more expensive than Claude Haiku 4.5.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-5.6 Luna accepts 1,050,000 input tokens compared to Claude Haiku 4.5's 200,000 tokens. GPT-5.6 Luna 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
Both Claude Haiku 4.5 and GPT-5.6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 4.5
GPT-5.6 Luna
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Claude Haiku 4.5 was released on 2025-10-15, while GPT-5.6 Luna was released on 2026-07-09.
GPT-5.6 Luna is 9 months newer than Claude Haiku 4.5.
Oct 15, 2025
9 months ago
Jul 9, 2026
1 weeks ago
8mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while GPT-5.6 Luna has a cutoff of 2026-02-16.
GPT-5.6 Luna has more recent training data (up to 2026-02-16), making it potentially better informed about events through that date compared to Claude Haiku 4.5 (2025-02-01).
Feb 2025
Feb 2026
1 yr newerProvider Availability
Claude Haiku 4.5 is available from Anthropic, Vertex AI. GPT-5.6 Luna is available from OpenAI.
Claude Haiku 4.5
GPT-5.6 Luna
Outputs Comparison
Key Takeaways
Claude Haiku 4.5
View detailsAnthropic
GPT-5.6 Luna
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude Haiku 4.5 vs GPT-5.6 Luna.