Claude Opus 5.5 vs GPT-6 Luna: pricing and benchmarks
GPT-6 Luna is 98% cheaper on input tokens ($0.10 vs $4.00 per 1M). GPT-6 Luna is 98% cheaper on output tokens ($0.50 vs $20.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Luna costs $55.00 a month versus $2,200 for Claude Opus 5.5, 98% less. Epoch AI has not published a capability index score for Claude Opus 5.5 and GPT-6 Luna yet.
Prices verified September 26, 2026.
Which should you choose?
Epoch AI has not published a capability index score for Claude Opus 5.5 and GPT-6 Luna yet.
GPT-6 Luna costs $0.20 per 1M tokens (3:1 input-to-output mix) vs $8.00 for Claude Opus 5.5, 98% less.
Pricing and specs
| Claude Opus 5.5 | GPT-6 Luna | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| API model ID | claude-opus-5-5 | gpt-6-luna |
| Input / 1M tokens | $4.00 | $0.10 |
| Cached input / 1M tokens | $0.20 | $0.01 |
| Output / 1M tokens | $20.00 | $0.50 |
| Long-context rates | — | $0.20 in / $0.75 out on long-context requests |
| Context window | 1M tokens | 1.05M tokens |
| Max output | 128K tokens | 128K tokens |
| Batch discount | 50% off | 50% off |
Monthly cost for real workloads
| Workload | Claude Opus 5.5 | GPT-6 Luna | Difference |
|---|---|---|---|
Support chatbot 100,000 replies a month, ~1,500 input tokens (system prompt + history) and ~400 output tokens each. | $1,400 | $35.00 | GPT-6 Luna 98% cheaper |
Document Q&A (RAG) 50,000 questions a month with ~8,000 tokens of retrieved context and ~600 output tokens each. | $2,200 | $55.00 | GPT-6 Luna 98% cheaper |
Coding agent 10,000 agent steps a month, ~40,000 input tokens each (70% read from the prompt cache) and ~2,000 output tokens. | $936.00 | $24.80 | GPT-6 Luna 97% cheaper |
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 Opus 5.5 vs GPT-6 Luna cost calculator
- $55.00/mo$0.0011 / request
- Claude Opus 5.5Anthropic$2,200/mo$0.04 / request
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 Opus 5.5 pricing notes
Anthropic’s recommended default model for most workloads, with adaptive thinking always on.
- Cache reads cost 5% of the input price, against 10% on Claude Opus 5 and Sonnet 5.
- Cache writes cost $5 (5-minute cache) or $8 (1-hour cache) per 1M tokens.
- US-only inference (inference_geo: "us") costs 1.1x.
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.
Frequently asked questions
- Is Claude Opus 5.5 cheaper than GPT-6 Luna?
- GPT-6 Luna is 98% cheaper on input tokens ($0.10 vs $4.00 per 1M). GPT-6 Luna is 98% cheaper on output tokens ($0.50 vs $20.00 per 1M). On our document Q&A workload (50,000 questions a month), GPT-6 Luna costs $55.00 a month versus $2,200 for Claude Opus 5.5, 98% less.
- Which is more capable, Claude Opus 5.5 or GPT-6 Luna?
- Epoch AI has not published a capability index score for Claude Opus 5.5 and GPT-6 Luna yet.
- How much does Claude Opus 5.5 cost per 1M tokens?
- Claude Opus 5.5 costs $4.00 per 1M input tokens and $20.00 per 1M output tokens, and $0.20 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 Opus 5.5 or GPT-6 Luna?
- GPT-6 Luna has the larger context window: 1.05M tokens versus 1M for Claude Opus 5.5.