Claude Haiku 4.5 vs GPT-5.6 Luna
Pricing verdict: Claude Haiku 4.5 vs GPT-5.6 Luna: input pricing is tied at $1.00/M, Claude Haiku 4.5 is cheaper for output-heavy usage ($5.00/M output), and GPT-5.6 Luna is better for long-context tasks (1,050,000 tokens).
Direct answer: input pricing is tied. Choose Claude Haiku 4.5 for cheaper output 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.
Cost Comparison (1000 input + 500 output tokens, 100 requests/day)
Claude Haiku 4.5
GPT-5.6 Luna
Cost Differences
GPT-5.6 Luna costs more than Claude Haiku 4.5
Quick Recommendation
Winner for direct API pricing: Claude Haiku 4.5. At the default workload, Claude Haiku 4.5 saves about $1.50/month ($18.25/year) versus GPT-5.6 Luna.
Feature Comparison
| Feature | Claude Haiku 4.5 | GPT-5.6 Luna |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Input Price | $1.00/1M tokens | $1.00/1M tokens |
| Output Price | $5.00/1M tokens | $6.00/1M tokens |
| Context Window | 200,000 tokens | 1,050,000 tokens |
| Max Output | 64,000 tokens | 128,000 tokens |
| Category | efficient | efficient |
| Capabilities | textvision | textvisioncodereasoning |
| Release Date | 10/15/2025 | 6/26/2026 |
Claude Haiku 4.5 vs GPT-5.6 Luna: Which Should You Choose?
Choosing between Claude Haiku 4.5 and GPT-5.6 Luna depends on your priorities: cost efficiency, context length, or raw capability. Both models charge $1.00/1M input tokens, but Claude Haiku 4.5 is cheaper on output at $5.00/1M. Meanwhile, GPT-5.6 Luna offers a significantly larger context window at 1,050,000 tokens vs 200,000 for Claude Haiku 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.
Both models are in the efficient category, making this a direct head-to-head comparison. At scale — say 10,000 requests per day — the cost difference adds up: Claude Haiku 4.5 would save you roughly $150.00/month compared to GPT-5.6 Luna. For startups and indie developers, that difference can be significant.
Output costs matter too. Claude Haiku 4.5 charges $5.00/1M 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. Claude Haiku 4.5 has the edge here at $5.00/1M 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 Haiku 4.5 when:
- • You're already using Anthropic's API ecosystem
- • You're running high-volume, latency-sensitive workloads
Choose GPT-5.6 Luna when:
- • You need a larger context window (1,050,000 tokens)
- • You need more capabilities (code, reasoning)
- • 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 Haiku 4.5
- • Input pricing: $1.00/M tokens
- • Output pricing: $5.00/M tokens
- • Context window: 200,000 tokens
- • Max output: 64,000 tokens
Watch out for
- • 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
- • Higher output cost than Claude Haiku 4.5
Try Different Scenarios
Use the calculator below to see how costs change with different usage patterns
Claude Haiku 4.5 (Anthropic)
GPT-5.6 Luna (OpenAI)
Start using Claude Haiku 4.5 today
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Sign Up for OpenAI →Frequently Asked Questions
Which is cheaper, Claude Haiku 4.5 or GPT-5.6 Luna?▼
What is the context window difference between Claude Haiku 4.5 and GPT-5.6 Luna?▼
Which model is better for AI Chatbot?▼
Which model has better overall pricing for heavy usage?▼
Where can I compare Anthropic and OpenAI API pricing beyond this model matchup?▼
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