GPT-5.6 Luna
$119.52 / month- Input cost
- $29.52
- Output cost
- $90.00
- Per 1,000 calls
- $3.984
- Pricing profile
- standard / short context
Source-tracked model comparison
How do GPT-5.6 Luna and DeepSeek V4 Pro costs compare for agent loops?
Compare verified pricing and model limits for cost-aware agent routing across providers. The cost example uses a ai agent loops workload and does not assume equal model quality.
Direct cost answer: GPT-5.6 Luna is estimated at $119.52 per month and DeepSeek V4 Pro at $128.02 for 6,000 input tokens, 2,500 output tokens, and 30,000 monthly requests. GPT-5.6 Luna is $8.5005 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 | DeepSeek V4 Pro |
|---|---|---|
| API access provider | OpenAI | DeepSeek |
| API model ID | gpt-5.6-luna | deepseek-v4-pro |
| Input / 1M | $0.20 | $0.435 |
| Cached input / 1M | $0.02 | $0.0036 |
| Output / 1M | $1.20 | $0.87 |
| Context window | 1,050,000 tokens | 1,000,000 tokens |
| Maximum output | 128,000 tokens | 384,000 tokens |
| Accepted input | text, image | text |
Example workload
AI agent loops cost scenario
6,000 input and 2,500 output tokens per request, 30,000 monthly requests, and 20% cached input.
DeepSeek V4 Pro
$128.02 / month- Input cost
- $62.77
- Output cost
- $65.25
- Per 1,000 calls
- $4.2673
- Pricing profile
- standard / cache miss
Cost result: GPT-5.6 Luna is $8.5005 lower per month for these assumptions. This is a price comparison, not a model-quality ranking.
Questions to answer before choosing
- Which agent steps require reasoning rather than routine execution?
- How many retries occur before a task succeeds?
- Does multi-provider routing justify its operational complexity?
What this estimate leaves out
Treat monthly requests as model calls, not user tasks. Tool execution and external API charges are excluded.
Latency, reliability, output quality, retries, regional processing, and provider-specific tool charges can change the practical decision.
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