Claude Haiku 4.5 is a fast, affordable, and highly capable AI model, excelling at coding and agentic tasks. Its combination of speed and low cost makes it ideal for powering real-time applications like chatbots, high-volume free services, and specialized "sub-agents" for complex tasks in coding, finance, and research. It can also handle common business tasks like creating office documents and assisting with strategy and analysis. ⚠️ The minimum cache token for claude-haiku-4-5 has been increased from 1,024 to 4,096 tokens.
Claude Haiku 4.5 vs GPT 5.6 Luna
Compare Claude Haiku 4.5 from Anthropic and GPT 5.6 Luna from OpenAI on key metrics including benchmarks, price, context length, and other model features. Access both models and hundreds of others through the AIHubMix API.
GPT-5.6 Luna is designed for cost-sensitive, high-volume workloads. It roughly corresponds to the nano model tier used in earlier GPT-5 families.
Pricing & Specifications
Prices are per million tokens. Time to First Token and throughput are rolling averages measured on AIHubMix.
Promotional prices show the discounted rate; see each model page for promotion windows.
Activity Past 30 Days
Daily traffic served through AIHubMix — how demand for each model is trending.
Tokens / day
Requests / day
Performance Past 3 Days
Measured on real AIHubMix traffic, hourly buckets. Gaps mean no traffic in that hour.
Throughput (tok/s)
TTFT (s)
Uptime (%)
Cost calculator
Estimate your monthly bill for the same workload on each model.
Monthly = daily × 30. Discounted rates applied where a promotion is active.
FAQ
Which is cheaper: Claude Haiku 4.5, GPT 5.6 Luna?
GPT 5.6 Luna: $1.2/M output tokens; Claude Haiku 4.5: $5.5/M. Use the cost calculator above to estimate your own workload.
Which responds faster?
Claude Haiku 4.5: 0.5s time to first token measured on AIHubMix; see the live performance charts above for how each model behaves across the day.
How large is each context window?
Claude Haiku 4.5 accepts 200,000 and GPT 5.6 Luna accepts 1,050,000 input tokens. Maximum output per request is 64,000 tokens on Claude Haiku 4.5 and 128,000 tokens on GPT 5.6 Luna.
Which one generates tokens faster?
Claude Haiku 4.5 at 152.6 tok/s and GPT 5.6 Luna at 47.6 tok/s, measured as output throughput on AIHubMix — a separate metric from time to first token.
What inputs and capabilities does each model support?
Claude Haiku 4.5 accepts text, image and PDF input and supports thinking, tool calling, function calling and structured outputs; GPT 5.6 Luna accepts text and image input and supports tool calling, thinking and structured outputs.
Can I call Claude Haiku 4.5 and GPT 5.6 Luna with the same API key?
Yes. AIHubMix serves every model on this page behind one OpenAI-compatible endpoint, so switching between them is a one-line change to the model field — no second account, key or SDK.
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