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GPT-5.6 Luna benchmarks, pricing and specs

GPT-5.6 Luna is an OpenAI model released on July 9, 2026 that takes text and image input and produces text. It costs $0.20 per 1M input tokens and $1.20 per 1M output tokens and accepts up to 1,050,000 tokens of context. It scores 1452 Elo on Arena Text, #29 of 39 current models (Arena, measured October 8, 2026).

Per 1M input tokens
$0.20
Per 1M output tokens
$1.20
Context window
1.05M
Arena Text
1452 Elo · #29/39

Data verified October 12, 2026 · Dataset 2026-10-12

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Key facts

Provider
OpenAI
Model family
GPT-5.6
Release date
July 9, 2026
Status
Current
Access
API only
API model id
Not reported
Context window
1,050,000 tokens
Max output
128,000 tokens
Input
text, image
Output
text
Task families
text, multimodal
Declared capabilities
reasoning

GPT-5.6 Luna pricing

It is the #4 cheapest of 37 current text models priced per 1M input tokens.

UnitPrice (USD)TierAppliesSource
1M input tokens$0.20standardCurrent
1M output tokens$1.20standardCurrent
1M input tokens$0.02cachedCurrent

Independent benchmark results

Scores come from independent evaluators that ran the model themselves, pinned to a dated snapshot. Rank is among current models in the same snapshot. OpenAI's own launch figures are listed under strengths with the publisher named, because they are not measured the same way.

BenchmarkScoreRankMeasuredSource
Arena Text1452 Elo#29 of 39October 8, 2026Arena · 2026-10-12
GPQA Diamond91.6%#19 of 37October 12, 2026Epoch AI · 2026-10-12
FrontierMath Tiers 1-3 (v2)82.1%#12 of 37October 12, 2026Epoch AI · 2026-10-12
SimpleQA Verified41%#26 of 34October 12, 2026Epoch AI · 2026-10-12

Strengths, cautions and best uses

Strengths

  • GPT-5.6 Luna is optimized for cost-sensitive workloads at $0.20 input and $1.20 output per 1M tokens
  • Keeps the 1.05M-token context, 128K output, six effort levels and full tool set of the larger GPT-5.6 tiers
  • Epoch AI measured 91.6% on GPQA Diamond and 82.1% on FrontierMath Tiers 1-3, strong for its price

Cautions

  • Not in the pinned LiveBench snapshot; its independent scores here come from Epoch AI's own GPQA Diamond, FrontierMath and SimpleQA Verified runs

Best for

  • High-volume API evaluation with published low token prices
  • Subagents and batch reasoning where cost per call dominates

Alternatives to GPT-5.6 Luna

The closest current textmodels by price. The cheapest model that scores as well or better is listed first; failing that, the cheapest one within 3% of the benchmark's scale.

Compare GPT-5.6 Luna with

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Other GPT-5.6 models

GPT-5.6 Luna FAQ

How much does GPT-5.6 Luna cost?

GPT-5.6 Luna costs $0.20 per 1M input tokens and $1.20 per 1M output tokens at the standard tier. It is the #4 cheapest of 37 current text models priced per 1M input tokens. Source: OpenAI, verified August 7, 2026.

What is the context window of GPT-5.6 Luna?

GPT-5.6 Luna accepts up to 1,050,000 tokens of context. It can return up to 128,000 tokens in one response. That ranks #1 of 44 current text models by context length.

How does GPT-5.6 Luna score on independent benchmarks?

GPT-5.6 Luna scores 1452 Elo on Arena Text, #29 of 39 current models (Arena, measured October 8, 2026), 91.6% on GPQA Diamond, #19 of 37 current models (Epoch AI, measured October 12, 2026) and 82.1% on FrontierMath Tiers 1-3 (v2), #12 of 37 current models (Epoch AI, measured October 12, 2026). These are independent evaluations, not OpenAI's own launch figures.

Is GPT-5.6 Luna open source or API only?

GPT-5.6 Luna is available through OpenAI's API only; its weights are not published.

What are the best alternatives to GPT-5.6 Luna?

The closest current alternatives by price and measured performance are GPT-6 Luna (50% cheaper per 1M input tokens, $0.10 vs $0.20), Gemini 3.1 Flash-Lite (25% more per 1M input tokens, $0.25 vs $0.20), DeepSeek-V4.1-Flash (50% more per 1M input tokens, $0.30 vs $0.20) and Gemini 3.5 Flash-Lite (50% more per 1M input tokens, $0.30 vs $0.20).

Sources

Cite this page

Van Data Team. "GPT-5.6 Luna Benchmarks, Pricing and Specs." AI Model Benchmark Dataset 2026-10-12. https://vandatateam.com/ai-model-benchmarks/gpt-5-6-luna

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Production evaluation

Deciding whether GPT-5.6 Luna fits your workload?

Public benchmarks narrow the shortlist. We test the finalists on your own tasks, data and cost limits, then build the routing and review controls to run the winner in production.

  • Evaluation cases and acceptance thresholds tied to real work
  • Model routing, fallbacks and cost controls