DeepSeek: DeepSeek V3.2 Exp vs OpenAI: GPT-5.6 Luna
Head-to-head API pricing and cost comparison between DeepSeek’s DeepSeek: DeepSeek V3.2 Exp and OpenAI’s OpenAI: GPT-5.6 Luna. Prices auto-refresh daily from OpenRouter.
OpenAI: GPT-5.6 Luna is 63% cheaper for input tokens; DeepSeek: DeepSeek V3.2 Exp wins on output tokens at $0.41/1M.
Side-by-side comparison
| Spec | DeepSeek: DeepSeek V3.2 Exp | OpenAI: GPT-5.6 Luna |
|---|---|---|
| Input price (per 1M) | $0.27 | $0.10 |
| Cached input (per 1M) | — | $0.01 |
| Output price (per 1M) | $0.41 | $0.60 |
| Batch input (per 1M) | — | $0.05 |
| Batch output (per 1M) | — | $0.30 |
| Reasoning price (per 1M) | — | — |
| Context window | 164K | 1050K |
| Vision support | No | Yes |
| Caching support | No | Yes |
| Batch API | No | Yes |
| Reasoning capability | No | No |
Monthly cost at volume
Estimated monthly API spend at common production traffic levels (input/output tokens per request shown).
| Volume | DeepSeek: DeepSeek V3.2 Exp | OpenAI: GPT-5.6 Luna | Savings |
|---|---|---|---|
1K req/day 500in / 200out tokens | $6.51 | $5.10 | $1.41 OpenAI: GPT-5.6 Luna wins |
10K req/day 1500in / 500out tokens | $183.00 | $135.00 | $48.00 OpenAI: GPT-5.6 Luna wins |
100K req/day 3000in / 800out tokens | $3,414 | $2,340 | $1,074 OpenAI: GPT-5.6 Luna wins |
1M req/day 8000in / 2000out tokens | $89,400 | $60,000 | $29,400 OpenAI: GPT-5.6 Luna wins |
Adjust input/output token counts, request volume, batch & cached pricing.
Related comparisons
- Anthropic: Claude Haiku 4.5 vs DeepSeek: DeepSeek V3.2 ExpCompare pricing →
- Anthropic: Claude Haiku 4.5 (batch) vs DeepSeek: DeepSeek V3.2 ExpCompare pricing →
- Anthropic: Claude Opus 4.7 vs DeepSeek: DeepSeek V3.2 ExpCompare pricing →
- Anthropic: Claude Opus 4.7 (batch) vs DeepSeek: DeepSeek V3.2 ExpCompare pricing →
Frequently asked questions
Which is cheaper, DeepSeek: DeepSeek V3.2 Exp or OpenAI: GPT-5.6 Luna?
For input tokens, OpenAI: GPT-5.6 Luna is roughly 63% cheaper at $0.10/1M vs $0.27/1M. For output tokens, DeepSeek: DeepSeek V3.2 Exp wins at $0.41/1M. Real-world cost depends on your input/output ratio — use the calculator to model your actual workload.
What’s the context window difference?
DeepSeek: DeepSeek V3.2 Exp has a context window of 164K tokens. OpenAI: GPT-5.6 Luna offers 1050K tokens. Larger context windows are valuable for long documents, RAG pipelines, and multi-turn conversations — but they come with higher input-token bills if you fill them every request.
Should I use DeepSeek: DeepSeek V3.2 Exp or OpenAI: GPT-5.6 Luna?
Choose DeepSeek: DeepSeek V3.2 Exp if you’re already on the DeepSeek stack, want broad ecosystem support, or prefer its lower output price. Choose OpenAI: GPT-5.6 Luna for OpenAI’s ecosystem, native vision input, or its cheaper input tokens. Run a small benchmark on your own prompts before committing — price is only one axis.
How are these prices kept current?
Prices are pulled directly from OpenRouter’s public models API once every 24 hours via a Convex cron job, then normalized to per-1M-token figures. Last refresh: Aug 7, 2026.