Model Comparison
Claude 3.7 Sonnet vs GPT-5.6 LunaWhich is better in 2026?
GPT-5.6 Luna significantly outperforms across most benchmarks. GPT-5.6 Luna is 2.7x cheaper per token.
Verdict: Claude 3.7 Sonnet vs GPT-5.6 Luna — which is better?
Claude 3.7 Sonnet (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 3.7 Sonnet outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (GPQA). GPT-5.6 Luna significantly outperforms across most benchmarks.
On price, GPT-5.6 Luna is roughly 2.7x 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 3.7 Sonnet if…
- you want predictable pricing at $3.00/M input and $15.00/M output
Choose GPT-5.6 Luna if…
- you want the strongest raw capability — it leads on 1 of 1 shared benchmarks
- cost matters — it's about 2.7x 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 Jul 2026
Performance Benchmarks
Comparative analysis across standard metrics
Claude 3.7 Sonnet outperforms in 0 benchmarks, while GPT-5.6 Luna is better at 1 benchmark (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 3.7 Sonnet ($3.00/1M tokens) is 3.0x more expensive than GPT-5.6 Luna ($1.00/1M tokens).
For output processing, Claude 3.7 Sonnet ($15.00/1M tokens) is 2.5x more expensive than GPT-5.6 Luna ($6.00/1M tokens).
In conclusion, Claude 3.7 Sonnet is more expensive than GPT-5.6 Luna.*
* 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 3.7 Sonnet's 200,000 tokens. Both models can generate responses up to 128,000 tokens.
Input Capabilities
Supported data types and modalities
Both Claude 3.7 Sonnet and GPT-5.6 Luna support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Claude 3.7 Sonnet
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 3.7 Sonnet was released on 2025-02-24, while GPT-5.6 Luna was released on 2026-07-09.
GPT-5.6 Luna is 17 months newer than Claude 3.7 Sonnet.
Feb 24, 2025
1.4 years ago
Jul 9, 2026
1 weeks ago
1.4yr newerKnowledge Cutoff
When training data ends
GPT-5.6 Luna has a documented knowledge cutoff of 2026-02-16, while Claude 3.7 Sonnet's cutoff date is not specified.
We can confirm GPT-5.6 Luna's training data extends to 2026-02-16, but cannot make a direct comparison without Claude 3.7 Sonnet's cutoff date.
—
Feb 2026
Provider Availability
Claude 3.7 Sonnet is available from Anthropic, Bedrock, Google. GPT-5.6 Luna is available from OpenAI.
Claude 3.7 Sonnet
GPT-5.6 Luna
Outputs Comparison
Key Takeaways
Claude 3.7 Sonnet
View detailsAnthropic
No standout differentiators in the data we have for this pair.
GPT-5.6 Luna
View detailsOpenAI
Detailed Comparison
Interactive Arena
Judge for yourself.
Run your own prompts against Claude 3.7 Sonnet and GPT-5.6 Luna side-by-side, then vote on the output you prefer.
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FAQ
Common questions about Claude 3.7 Sonnet vs GPT-5.6 Luna.