gpt-5.6-luna
$464.00 / month- Input cost
- $164.00
- Output cost
- $300.00
- Per 1,000 calls
- $4.64
- Pricing profile
- standard / short context
Source-tracked model comparison
Which costs less for controlled generation: GPT-5.6 Luna or Claude Haiku 4.5?
Compare verified pricing and model limits for controlled generation with moderate context. The cost example uses a email drafting workload and does not assume equal model quality.
Direct cost answer: gpt-5.6-luna is estimated at $464.00 per month and Claude Haiku 4.5 at $414.00 for 2,000 input tokens, 500 output tokens, and 100,000 monthly requests. Claude Haiku 4.5 is $50.00 lower under these assumptions. This does not identify a quality winner.
Tracked facts
Pricing and model limits
Prices are USD per 1M tokens under each model's verified default profile.
| Field | gpt-5.6-luna | Claude Haiku 4.5 |
|---|---|---|
| Provider | OpenAI | Anthropic |
| API model ID | gpt-5.6-luna | claude-haiku-4-5-20251001 |
| Input / 1M | $1.00 | $1.00 |
| Cached input / 1M | $0.10 | $0.10 |
| Output / 1M | $6.00 | $5.00 |
| Context window | 1,050,000 tokens | 200,000 tokens |
| Maximum output | 128,000 tokens | 64,000 tokens |
| Accepted input | text, image | text, image |
Example workload
Email drafting cost scenario
2,000 input and 500 output tokens per request, 100,000 monthly requests, and 20% cached input.
Claude Haiku 4.5
$414.00 / month- Input cost
- $164.00
- Output cost
- $250.00
- Per 1,000 calls
- $4.14
- Pricing profile
- standard
Cost result: Claude Haiku 4.5 is $50.00 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which model follows the required tone and output constraints?
- Does either provider simplify privacy review?
- What regeneration rate appears in a realistic trial?
What this estimate leaves out
Deliverability, CRM, enrichment, and human review costs are not included.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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