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Claude Haiku 5.5 vs GPT-6 Luna: pricing and benchmarks

Both charge $0.10 per 1M input tokens. Both charge $0.50 per 1M output tokens. On our document Q&A workload both models cost $55.00 a month. Roughly tied. Claude Haiku 5.5 scores 159.0 and GPT-6 Luna scores 156.3 on the Epoch Capabilities Index, and their confidence intervals overlap.

Prices verified October 17, 2026.

Which should you choose?

Overall capability
Too close to call

Roughly tied. Claude Haiku 5.5 scores 159.0 and GPT-6 Luna scores 156.3 on the Epoch Capabilities Index, and their confidence intervals overlap.

Advanced math
GPT-6 Luna

GPT-6 Luna scores 78.9% on FrontierMath (Tiers 1–3) vs 75.1% for Claude Haiku 5.5.

Price
Too close to call

Both cost $0.20 per 1M tokens at a 3:1 input-to-output mix.

Pricing and specs

Claude Haiku 5.5GPT-6 Luna
ProviderAnthropicOpenAI
API model IDclaude-haiku-5-5gpt-6-luna
Input / 1M tokens$0.10$0.10
Cached input / 1M tokens$0.01$0.01
Output / 1M tokens$0.50$0.50
Long-context rates$0.50 in / $2.50 out above 100K prompt tokens$0.20 in / $0.75 out on long-context requests
Context window1M tokens1.05M tokens
Max output128K tokens128K tokens
Batch discount50% off50% off

Benchmarks

Claude Haiku 5.5GPT-6 Luna
Epoch Capabilities Index159.0156.3
GPQA Diamond· Science reasoning89.6%90.5%
FrontierMath (Tiers 1–3)· Advanced math75.1%78.9%
SimpleQA Verified· Factual accuracy23.8%41.4%
ARC-AGI-2· Abstract reasoning—59.3%
DeepSWE· Coding——
APEX-Agents· Agentic work56.1%44.3%

Source: Epoch AI, best recorded result per model (CC BY 4.0). A dash means no published score. See all benchmarks

Monthly cost for real workloads

WorkloadClaude Haiku 5.5GPT-6 LunaDifference
Support chatbot
100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each.
$35.00$35.00Same
Document Q&A (RAG)
50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each.
$55.00$55.00Same
Coding agent
10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens.
$24.80$24.80Same

Estimates use standard list prices and ignore cache-write surcharges. Different tokenizers can count the same text differently, so test with your own prompts.

Claude Haiku 5.5 vs GPT-6 Luna cost calculator

Standard-tier list prices. Long-context rates apply automatically where the provider publishes a threshold. Excludes cache-write surcharges, taxes, batch and volume discounts.

Claude Haiku 5.5 pricing notes

Anthropic’s fastest, lowest-cost model, priced by prompt length, with a 1M-token context window.

  • Prompts over 100K tokens, counting cache reads and writes, are billed at $0.50 input / $2.50 output per 1M tokens.
  • Cache writes cost $0.125 (5-minute cache) or $0.20 (1-hour cache) per 1M tokens, 5x that above 100K tokens.
  • US-only inference (inference_geo: "us") costs 1.1x.
Anthropic official pricing ↗

GPT-6 Luna pricing notes

OpenAI’s most efficient GPT-6 model, for focused, high-volume tasks.

  • Cache writes are billed at $0.125 per 1M tokens.
  • Fast mode costs 2x the standard rate; Flex costs half.
  • Regional (data residency) endpoints add a 10% uplift, and EU data residency is available only with standard processing.
OpenAI official pricing ↗

Frequently asked questions

Is Claude Haiku 5.5 cheaper than GPT-6 Luna?
Both charge $0.10 per 1M input tokens. Both charge $0.50 per 1M output tokens. On our document Q&A workload both models cost $55.00 a month.
Which is more capable, Claude Haiku 5.5 or GPT-6 Luna?
Roughly tied. Claude Haiku 5.5 scores 159.0 and GPT-6 Luna scores 156.3 on the Epoch Capabilities Index, and their confidence intervals overlap.
How much does Claude Haiku 5.5 cost per 1M tokens?
Claude Haiku 5.5 costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, and $0.01 per 1M cached input tokens on Anthropic’s standard tier.
How much does GPT-6 Luna cost per 1M tokens?
GPT-6 Luna costs $0.10 per 1M input tokens and $0.50 per 1M output tokens, and $0.01 per 1M cached input tokens on OpenAI’s standard tier.
Which has the larger context window, Claude Haiku 5.5 or GPT-6 Luna?
GPT-6 Luna has the larger context window: 1.05M tokens versus 1M for Claude Haiku 5.5.

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