GPT-5.6 Luna vs Gemini 3.6 Flash
73.6 overall · $1.50 / 1M
// openai
GPT-5.6 Luna
openai/gpt-5.6-luna
reasoningtool callingfile inputimage inputprompt caching
GPT-5.6 Luna costs $0.200 per 1M input tokens and $1.20 per 1M output tokens with a 1.1M-token context window.
A reasoning, tool-calling model from openai, released Jul 9, 2026. On LiveBench it scores 73.6 overall — #35 of 55 benchmarked models — and ranks highest in coding (#6).
- Input / 1M
- $0.200
- Output / 1M
- $1.20
- Context
- 1.1M
- LiveBench overall
- 73.6 · #35
Specs and pricing
| Input price USD per 1M prompt tokens | $0.200 |
|---|---|
| Output price USD per 1M completion tokens, reasoning included | $1.20 |
| Blended price 3:1 input:output — #129 cheapest of 343 listed models | $0.450 |
| Cached input read Blank means not priced separately — not free | $0.020 |
| Cache write | $0.250 |
| Context window | 1,050,000 tokens |
| Max output | 128,000 tokens |
| Input modalities | file, image, text |
| Tool calling | Yes |
| Extended reasoning | Yes |
| Knowledge cutoff | 2026-02-16 |
| Listed | Jul 9, 2026 |
Also listed as openai/gpt-5.6-luna:batch ($0.225 blended)— the same model at a different price or rate limit.
Benchmarks by category
LiveBench scores out of 100, with GPT-5.6 Luna's rank among the 55 benchmarked models listed here. Run: gpt-5.6-luna-max.
Language#48 of 55
72.6
$0.0668 measured per point
What GPT-5.6 Luna costs to run
Monthly list cost across five workload shapes, using the published cached-input rate where there is one. A floor, not a quote — batch discounts and cache writes aren't included.
| Workload | Per month |
|---|---|
| Support chatbot 1.2K in / 400 out × 200K requests | $131.04/mo |
| RAG assistant 8K in / 600 out × 100K requests | $160.00/mo |
| Coding agent 40K in / 4K out × 20K requests | $155.20/mo |
| Document extraction 20K in / 1.5K out × 50K requests | $281.00/mo |
| Bulk classification 500 in / 20 out × 5M requests | $530.00/mo |
Compare GPT-5.6 Luna with
The benchmarked models closest to it on overall score.
z-ai
GPT-5.6 Luna vs GLM 5.2
73.2 overall · $0.998 / 1M
openai
GPT-5.6 Luna vs GPT-5.2-Codex
74.0 overall · $4.81 / 1M
qwen
GPT-5.6 Luna vs Qwen3.7 Max
73.1 overall · $2.21 / 1M
anthropic
GPT-5.6 Luna vs Claude Sonnet 4.6
73.0 overall · $6.00 / 1M
deepseek
GPT-5.6 Luna vs DeepSeek V4 Flash 0731
74.2 overall · $0.190 / 1M
GPT-5.6 Luna FAQ
How much does GPT-5.6 Luna cost?
GPT-5.6 Luna lists at $0.200 per 1M input tokens and $1.20 per 1M output tokens, with cached input reads at $0.020 per 1M. A RAG assistant handling 100K requests a month (8K tokens in, 600 out) comes to about $160.00 at list price.
What is the context window of GPT-5.6 Luna?
GPT-5.6 Luna accepts up to 1,050,000 tokens of context and can return up to 128,000 output tokens per response.
Does GPT-5.6 Luna support tool calling?
Yes — GPT-5.6 Luna supports tool (function) calling and exposes extended reasoning. It accepts file, image, text input.
How does GPT-5.6 Luna score on benchmarks?
On LiveBench release 2026-06-25 (run: gpt-5.6-luna-max), GPT-5.6 Luna scores 73.6 overall, ranking #35 of 55 benchmarked models.
What is the API model ID for GPT-5.6 Luna?
On OpenRouter the model ID is "openai/gpt-5.6-luna". It was listed on Jul 9, 2026.
More from openai
How these numbers are produced
- Price and specs — provider list data from OpenRouter, refreshed every 15 minutes. “Blended” is a 3:1 input:output mix.
- Scores and ranks — LiveBench release 2026-06-25. Ranks count only models that have a published run; a blank means “not evaluated”, never “bad”.
- Cost per point — the measured dollars LiveBench spent on the run, divided by the score it earned.
Published benchmarks rank models on someone else's tasks. Before committing, see LLM & agent evaluation for building an eval on your own.