Claude Haiku 4.5 vs GPT-6 Luna
GPT-6 Luna leads the LLM Stats Score 44.5 to 25.7. GPT-6 Luna is 10.0x cheaper per token.
Anthropic · OpenAI · Updated for 2026
Which is better?
GPT-6 Luna leads the overall LLM Stats Score 44.5 to 25.7, ranking #41 overall.
On price, GPT-6 Luna is roughly 10.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
GPT-6 Luna also accepts a larger context window (1,050,000 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 4.5
- you want predictable pricing at $1.00/M input and $5.00/M output
Choose GPT-6 Luna
- overall performance matters — it scores 44.5 and ranks #41 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- cost matters — it's about 10.0x cheaper per token
- you process long inputs — it offers a 1,050,000 token context window
- you want the most recent training data — it shipped Sep 2026
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
12 reported for Claude Haiku 4.5 · 5 for GPT-6 Luna
Claude Haiku 4.5 and GPT-6 Lunadon't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Claude Haiku 4.5 ($1.00/1M tokens) is 10.0x more expensive than GPT-6 Luna ($0.10/1M tokens).
For output processing, Claude Haiku 4.5 ($5.00/1M tokens) is 10.0x more expensive than GPT-6 Luna ($0.50/1M tokens).
In conclusion, Claude Haiku 4.5 is more expensive than GPT-6 Luna.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
GPT-6 Luna accepts 1,050,000 input tokens compared to Claude Haiku 4.5's 200,000 tokens. GPT-6 Luna can generate longer responses up to 128,000 tokens, while Claude Haiku 4.5 is limited to 64,000 tokens.
Input capabilities
Documented input modalities across available providers
Both Claude Haiku 4.5 and GPT-6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude Haiku 4.5
GPT-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-6 Luna was released on 2026-09-22.
GPT-6 Luna is 11 months newer than Claude Haiku 4.5.
Oct 15, 2025
11 months ago
Sep 22, 2026
0 days ago
11mo newerKnowledge Cutoff
When training data ends
Claude Haiku 4.5 has a knowledge cutoff of 2025-02-01, while GPT-6 Luna has a cutoff of 2026-05-18.
GPT-6 Luna has more recent training data (up to 2026-05-18), making it potentially better informed about events through that date compared to Claude Haiku 4.5 (2025-02-01).
Feb 2025
May 2026
1.3 yr newerProvider Availability
Claude Haiku 4.5 is available from Anthropic, DeepInfra, Vertex AI. GPT-6 Luna is available from OpenAI.
Claude Haiku 4.5
GPT-6 Luna
Outputs Comparison
Judge for yourself.
Run your own prompts against Claude Haiku 4.5 and GPT-6 Luna side-by-side, then vote on the output you prefer.
FAQ
Common questions about Claude Haiku 4.5 vs GPT-6 Luna.