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OpenAI: GPT-5.6 Luna vs Anthropic: Claude Opus 4.7 (Fast)

Head-to-head API cost, context, and performance comparison. Synced at 7:20:14 PM.

Executive Summary

When evaluating OpenAI: GPT-5.6 Luna against Anthropic: Claude Opus 4.7 (Fast), the pricing structure is a key differentiator. OpenAI: GPT-5.6 Luna is approximately 96% more cost-effective per 1 million tokens overall.

However, when looking at raw reasoning capabilities, OpenAI: GPT-5.6 Luna leads with a statistical ELO score of 1499. For tasks involving complex logic, coding, or instruction-following, developers might prefer OpenAI: GPT-5.6 Luna, provided their budget allows for the API burn rate.

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Raw Technical comparison

Metric
OpenAI: GPT-5.6 Luna
Anthropic: Claude Opus 4.7 (Fast)
Performance (ELO)
1499
1492
Input Cost / 1M
$1.00
$30.00
Output Cost / 1M
$6.00
$150.00
Context Window
1,050,000 tokens
1,000,000 tokens

Verdict

If you are looking for pure performance and capability, OpenAI: GPT-5.6 Luna is statistically superior. However, if API burn rate is the primary concern, OpenAI: GPT-5.6 Luna wins out aggressively in pricing.

People Also Ask

Is OpenAI: GPT-5.6 Luna cheaper than Anthropic: Claude Opus 4.7 (Fast)?

Yes. OpenAI: GPT-5.6 Luna is cheaper for both input and output generation compared to Anthropic: Claude Opus 4.7 (Fast). Exploring alternatives often yields cost reductions.

Which model has the larger context window?

The OpenAI: GPT-5.6 Luna model has the advantage in memory, offering a massive 1,050,000 token limit for document ingestion.

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