text model comparison
Claude Haiku 5.5 vs GPT-6 Luna
Claude Haiku 5.5 and GPT-6 Luna are both current text models, from Anthropic and OpenAI. Both cost $0.10 per 1M input tokens. On GPQA Diamond, Claude Haiku 5.5 scores 89.6% and GPT-6 Luna 90.5% (Epoch AI, measured October 12, 2026). GPT-6 Luna has the larger context window, 1,050,000 vs 1,000,000 tokens.
Data verified October 12, 2026 · Dataset 2026-10-12
Side by side
Standard-tier prices in effect today. The better value in each row is highlighted.
| Fact | Claude Haiku 5.5 | GPT-6 Luna |
|---|---|---|
| Price per 1M input tokens | $0.10 | $0.10 |
| Price per 1M output tokens | $0.50 | $0.50 |
| Cost of 10M input and 2M output tokens | $2 | $2 |
| GPQA Diamond | 89.6% (#26 of 37) | 90.5% (#23 of 37) (better) |
| FrontierMath Tiers 1-3 (v2) | 75.1% (#16 of 37) | 78.9% (#14 of 37) (better) |
| SimpleQA Verified | 23.8% (#31 of 34) | 41.4% (#25 of 34) (better) |
| Arena Text | Not measured | 1443 Elo (#31 of 39) |
| Provider | Anthropic | OpenAI |
| Release date | October 7, 2026 | September 22, 2026 |
| Access | API only | API only |
| Context window | 1,000,000 tokens | 1,050,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens |
| Input | text, image | text, image |
| Output | text | text |
When to choose each
Claude Haiku 5.5
Best for
- High-volume classification, extraction and routing under the 100,000-token line
- Cost-sensitive fan-out steps where a frontier model is overkill
Watch out for
- Priced by prompt length, and it is a cliff rather than a taper: a request whose prompt passes 100,000 tokens is billed at $0.50 input and $2.50 output for the whole request, five times the short rate
- Cache reads and cache writes both count toward that 100,000-token measurement, so a large cached prefix can tip a request into the higher band on its own
- It is the only current Claude model whose 1M window is not priced uniformly; every other 4.6-and-later model bills a 900k request at the same rate as a 9k one
GPT-6 Luna
Best for
- High-volume summarisation, extraction and routing
- Long-context budget work, where the 272k threshold is more forgiving than Haiku 5.5's 100k
Watch out for
- Prompts over 272,000 tokens are rebilled at $0.20 input and $0.75 output for the whole request
- A twentieth of GPT-6 Sol's price reflects a capability gap, not a discount on the same model
Claude Haiku 5.5 vs GPT-6 Luna FAQ
Which is cheaper, Claude Haiku 5.5 or GPT-6 Luna?
Both cost $0.10 per 1M input tokens. For 10M input and 2M output tokens, Claude Haiku 5.5 costs $2 and GPT-6 Luna $2 at standard rates.
Which scores higher on independent benchmarks, Claude Haiku 5.5 or GPT-6 Luna?
GPT-6 Luna leads on GPQA Diamond, 90.5% to 89.6%; GPT-6 Luna leads on FrontierMath Tiers 1-3 (v2), 78.9% to 75.1%; GPT-6 Luna leads on SimpleQA Verified, 41.4% to 23.8%. Scores are independent evaluations, not either vendor's launch figures.
Which has the larger context window, Claude Haiku 5.5 or GPT-6 Luna?
GPT-6 Luna has the larger context window, 1,050,000 vs 1,000,000 tokens.
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- Gemini 3.1 Flash-Lite vs GPT-6 Luna
- Gemini 3.5 Flash-Lite vs GPT-6 Luna
- GPT-4.1 mini vs GPT-6 Luna
- GPT-4.1 nano vs GPT-6 Luna
- GPT-4.1 vs GPT-6 Luna
- GPT-5.6 Luna vs GPT-6 Luna
Production evaluation
Choosing between Claude Haiku 5.5 and GPT-6 Luna?
Public benchmarks narrow the shortlist. We run both on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.
- A head-to-head evaluation on your real workload
- Routing between models by cost and difficulty