GPT 5.6 Luna is GPT's fastest and most affordable model, priced at $0.20/MTok input and $1.20/MTok output with a 1,050K context window.
Input $/MTok
$0.20
Output $/MTok
$1.20
Context window
1,050K
Cache read discount
90% off
| Rate | Input $/MTok | Output $/MTok |
|---|---|---|
| Standard | $0.20 | $1.20 |
| Cached read (90% off input) | $0.02 | - |
| Cached write (25% surcharge) | $0.25 | - |
| Batch (50% off) | $0.10 | $0.60 |
| Long context (≥272.001K tokens) | $0.40 | $1.80 |
All rates in USD per million tokens. Prices verified against provider documentation.
Confidence scores (0-100) and cross-provider rank for each task type. Rank 1 is best across all 20 models.
| Task | Confidence | Rank |
|---|---|---|
| Code Generation | 70/100 | #6 |
| Code Review | 68/100 | #6 |
| Summarization | 84/100 | #4 |
| Q&A | 85/100 | #4 |
| Extraction | 89/100 | #2 |
| Reasoning | 63/100 | #6 |
| Classification | 91/100 | #1 |
| Creative Writing | 58/100 | #7 |
Estimated cost per API call using default token counts for each workload.
| Use case | Input tokens | Output tokens | Cost / call |
|---|---|---|---|
| Code Generation | 2,000 | 4,000 | $0.005200 |
| Unit Test Generation | 3,000 | 5,000 | $0.006600 |
| SQL Generation | 1,500 | 1,000 | $0.001500 |
| API Generation | 3,000 | 6,000 | $0.007800 |
| Code Refactoring | 4,000 | 4,000 | $0.005600 |
| Code Review | 5,000 | 2,000 | $0.003400 |
| PR Review | 8,000 | 3,000 | $0.005200 |
| Security Review | 6,000 | 2,500 | $0.004200 |
| Bug Detection | 5,000 | 2,000 | $0.003400 |
| Document Summarization | 10,000 | 1,000 | $0.003200 |
| PDF Summarization | 15,000 | 1,500 | $0.004800 |
| Meeting Notes | 8,000 | 2,000 | $0.004000 |
Projected monthly spend at different call volumes, using code generation as a representative workload (2,000 input / 4,000 output tokens per call).
| Calls / month | Without caching | With caching (90% read discount) |
|---|---|---|
| 1K | $5.2 | $4.95 |
| 10K | $52 | $49.48 |
| 100K | $520 | $494.8 |
| 500K | $2,600 | $2,474 |
| 1M | $5,200 | $4,948 |
Caching estimate assumes 70% of input tokens are cache reads. Your actual cache hit rate will depend on prompt structure and reuse.
Same-tier models from other providers, sorted by input price.
| Model | Provider | Input $/MTok | Output $/MTok | Input savings |
|---|---|---|---|---|
| Gemini 3.5 Flash-Lite | Gemini | $0.30 | $2.50 | 50% more |
| Gemini 3 Flash | Gemini | $0.50 | $3.00 | 150% more |
| Claude Haiku 4.5 | Claude | $1.00 | $5.00 | 400% more |
| Grok Build 0.1 | Grok | $1.00 | $2.00 | 400% more |
| Gemini 3.5 Flash | Gemini | $1.50 | $9.00 | 650% more |
Input decreased
$1.00 to $0.20/MTok
Output decreased
$6.00 to $1.20/MTok
See exactly how much you spend on GPT 5.6 Luna and where you can save. Two-line wrapper install, no API keys shared.