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Claude Opus 4.5 vs GPT-5.6 Luna

Pricing verdict: Claude Opus 4.5 vs GPT-5.6 Luna: GPT-5.6 Luna is cheaper for input-heavy usage ($1.00/M vs $5.00/M input tokens), while GPT-5.6 Luna is better for long-context tasks (1,050,000 tokens).

Direct answer: choose GPT-5.6 Luna for lower token spend and choose GPT-5.6 Luna when your workload needs longer context.

Compare API pricing, input and output token costs, context windows, and monthly estimates on one page so you can pick the right model fast.

Anthropic
Claude Opus 4.5
vs
OpenAI
GPT-5.6 Luna

Cost Comparison (1000 input + 500 output tokens, 100 requests/day)

Claude Opus 4.5

Per Request:$0.0175
Daily:$1.75
Monthly:$52.50
Yearly:$638.75

GPT-5.6 Luna

Per Request:$0.004000
Daily:$0.40
Monthly:$12.00
Yearly:$146.00

Cost Differences

$0.0135
Per Request
$1.35
Daily
$40.50
Monthly
$492.75
Yearly

GPT-5.6 Luna costs less than Claude Opus 4.5

Quick Recommendation

Winner for direct API pricing: GPT-5.6 Luna. At the default workload, GPT-5.6 Luna saves about $40.50/month ($492.75/year) versus Claude Opus 4.5.

Feature Comparison

FeatureClaude Opus 4.5GPT-5.6 Luna
ProviderAnthropicOpenAI
Input Price$5.00/1M tokens$1.00/1M tokens
Output Price$25.00/1M tokens$6.00/1M tokens
Context Window200,000 tokens1,050,000 tokens
Max Output64,000 tokens128,000 tokens
Categoryflagshipefficient
Capabilities
textvisioncodereasoning
textvisioncodereasoning
Release Date11/1/20256/26/2026

Claude Opus 4.5 vs GPT-5.6 Luna: Which Should You Choose?

Choosing between Claude Opus 4.5 and GPT-5.6 Luna depends on your priorities: cost efficiency, context length, or raw capability. GPT-5.6 Luna is the more affordable option at $1.00/1M input tokens — 80% cheaper than Claude Opus 4.5. Meanwhile, GPT-5.6 Luna offers a significantly larger context window at 1,050,000 tokens vs 200,000 for Claude Opus 4.5.

These models come from different providers — Anthropic and OpenAI — which means different API ecosystems, SDKs, rate limits, and terms of service. If you're already integrated with Anthropic, switching to OpenAIinvolves migration effort beyond just pricing. Factor in your existing infrastructure when deciding.

These models target different tiers: Claude Opus 4.5 is a flagship model while GPT-5.6 Luna is efficient. This means they're optimized for different workloads. Claude Opus 4.5 is built for complex tasks that require deeper reasoning, while GPT-5.6 Luna offers better value for routine operations.

Output costs matter too. Claude Opus 4.5 charges $25.00/1M output tokens vs $6.00 for GPT-5.6 Luna. For generation-heavy workloads (content creation, code generation, summarization), output pricing often dominates your bill. GPT-5.6 Luna has the edge here at $6.00/1M output tokens.

Multimodal capabilities: Both models support vision (image understanding), so you can send images alongside text prompts with either option.

Best Use Cases

Choose Claude Opus 4.5 when:

  • • You're already using Anthropic's API ecosystem

Choose GPT-5.6 Luna when:

  • • Budget is a primary concern
  • • You need a larger context window (1,050,000 tokens)
  • • You need longer outputs (up to 128,000 tokens)
  • • You're already using OpenAI's API ecosystem
  • • You're running high-volume, latency-sensitive workloads

Pros and Caveats at a Glance

Claude Opus 4.5

  • Input pricing: $5.00/M tokens
  • Output pricing: $25.00/M tokens
  • Context window: 200,000 tokens
  • Max output: 64,000 tokens

Watch out for

  • Higher input cost than GPT-5.6 Luna
  • Higher output cost than GPT-5.6 Luna
  • Smaller context window than GPT-5.6 Luna

GPT-5.6 Luna

  • Input pricing: $1.00/M tokens
  • Output pricing: $6.00/M tokens
  • Context window: 1,050,000 tokens
  • Max output: 128,000 tokens

Watch out for

  • Trade-offs are minor in this matchup.

Try Different Scenarios

Use the calculator below to see how costs change with different usage patterns

Claude Opus 4.5 (Anthropic)

GPT-5.6 Luna (OpenAI)

Start using Claude Opus 4.5 today

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Start using GPT-5.6 Luna today

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Frequently Asked Questions

Which is cheaper, Claude Opus 4.5 or GPT-5.6 Luna?
GPT-5.6 Luna is cheaper for input tokens at $1.00 per million tokens vs $5.00 for Claude Opus 4.5 — that's 80% savings on input costs.
What is the context window difference between Claude Opus 4.5 and GPT-5.6 Luna?
Claude Opus 4.5 supports 200,000 tokens while GPT-5.6 Luna supports 1,050,000 tokens — a difference of 850,000 tokens in favor of GPT-5.6 Luna.
Which model is better for AI Agent / Agentic Workflows?
Both models support text, code, reasoning. For ai agent / agentic workflows, GPT-5.6 Luna is the lower-cost option, while GPT-5.6 Luna offers a larger context window (1,050,000 vs 200,000 tokens). Choose GPT-5.6 Luna for budget sensitivity or GPT-5.6 Luna for longer context tasks.
Which model has better overall pricing for heavy usage?
At 100 requests/day with 1,000 input and 500 output tokens each, Claude Opus 4.5 costs about $52.50/month and GPT-5.6 Luna costs about $12.00/month. Overall, GPT-5.6 Luna has lower combined input + output rates ($1.00 in, $6.00 out) vs Claude Opus 4.5.
Where can I compare Anthropic and OpenAI API pricing beyond this model matchup?
See the Anthropic vs OpenAI provider comparison page for lineup-level averages, then review each model page for exact per-token rates.

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