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GPT-6 Luna

by OpenAI · Released Sep 2026

Multimodal1M Context
58.9
avg score
Rank #99
Compare
Better than 69% of all models
Context
1.1M tokens (~525 books)
Input $/1M
$0.10
Output $/1M
$0.50
Type
multimodal
License
Proprietary
Benchmarks
23 tested
Data as of
About

GPT-6 Luna is the fast, cost-efficient model in OpenAI's GPT-6 series, positioned below GPT-6 Sol. It is suited for high-volume and latency-sensitive workloads such as chat, classification, and lightweight agentic...

Tested on 23 benchmarks · BenchGecko score 58.9. Top scores: OTIS Mock AIME 2024-2025 (98.9%), GPQA diamond (87.3%), ARC-AGI (86.7%).

Capabilities
coding
42.4
#133 globally
reasoning
73.0
#44 globally
math
78.0
#35 globally
knowledge
40.3
#209 globally
agentic
44.3
#34 globally
speed
51.5
#28 globally
general
44.0
#60 globally
Benchmark Scores
Compare All
Tested on 23 benchmarks · Ranked across 7 categories
Score Distribution (all 319 models)
0255075100
▲ You are here
codingCompare coding →
Frontiercode
42.4·
reasoningCompare reasoning →
ARC-AGI

Abstraction and Reasoning Corpus. Tests fluid intelligence through novel visual pattern recognition puzzles. Core measure of general intelligence.

86.7·
ARC-AGI-2

ARC-AGI 2, harder sequel to ARC. More complex abstract reasoning patterns that test generalization ability beyond training data.

59.3·
mathCompare math →
OTIS Mock AIME 2024-2025

Mock AIME (American Invitational Mathematics Exam) problems from OTIS. Tests mathematical competition performance.

98.9·
FrontierMath-Tiers-1-3-v2-Private
79.0·
FrontierMath-Tier-4-v2-Private
56.1·
Quick compare:vs Nemotron-4 15BDeepSeek logovs DeepSeek R1 Distill Qwen 32BGoogle DeepMind logovs Gemini 2.5 Pro
Excellent (85+) Good (70-85) Average (50-70) Below (<50)
Model Family · OpenAI GPT-6
Sep 2026
95.6
$10.00/M in1.1Mctx33 benchmarks
Sep 2026
$5.00/M in(-5)1.1Mctx
Sep 2026
$10.00/M in(+5)1.1Mctx
Sep 2026
$5.00/M in(-5)1.1Mctx
Sep 2026
58.9-36.7
$0.10/M in(-4.90)1.1Mctx23 benchmarks
Sep 2026
$0.05/M in(-0.05)1.1Mctx
Sep 2026
$0.10/M in(+0.05)1.1Mctx
Sep 2026
$0.05/M in(-0.05)1.1Mctx
Sep 2026
80.0+21.1
$2.00/M in(+1.95)1.1Mctx17 benchmarks
Sep 2026
$1.00/M in(-1)1.1Mctx
Sep 2026
$2.00/M in(+1)1.1Mctx
Sep 2026
$1.00/M in(-1)1.1Mctx
See the full GPT-6 family →
Recently Happened
GPT-6 Luna added
Sep 23, 2026
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Links
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gpt-6-luna
Specifications
  • Typemultimodal
  • Context1.1M tokens (~525 books)
  • ReleasedSep 2026
  • LicenseProprietary
  • StatusActive
  • Cost / Message~$0.001
Available On
OpenAI logoOpenAI$0.10
Categories
codingreasoningmathknowledgeagenticspeedgeneral
Learn More
context-windowtransformertokens
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GPT-6 Luna is a proprietary multimodal AI model by OpenAI, released in September 2026. It has an average benchmark score of 58.9. Context window: 1M tokens.

Related Models

Nemotron-4 15B · UnknownDeepSeek R1 Distill Qwen 32B · DeepSeekGemini 2.5 Pro · Google DeepMindGPT-4o (2024-05-13) · OpenAIGrok 4 · xAI

Benchmarks

OTIS Mock AIME 2024-2025GPQA diamondARC-AGIDtbenchArtificial Analysis · Long Context Reasoning

Related Pages

OpenAI · ProviderOpenAI · EconomyAll ModelsCompare ModelsPricingDevelopers · APIContext Window · Glossary

Key facts · as of 2026-10-16

  • GPT-6 Luna by OpenAI. BenchGecko score 58.9, rank 99 of 319 scored models (normalized average of public benchmark scores).
  • List price $0.1000 input · $0.50 output per 1M tokens (as of 2026-10-16).
  • Sold by 7 providers (as of 2026-10-16): OpenAI $0.0500 in / $0.25 out · Azure $0.10 in / $0.50 out · OpenAI $0.10 in / $0.50 out · Amazon Bedrock $0.11 in / $0.55 out · Azure $0.11 in / $0.55 out · and 2 more. Every provider
  • Gecko Tests · Gecko Score 59 (rank 6): Who Are You B (Knows who made it) · World Map A (96.2% of the map right) · Censorship Index C (Answers almost everything) · Knowledge Horizon B (Knows news up to Apr 2026) · Tokenizer Tax C (56% more tokens outside English).

How to cite · data as of 2026-10-16

GPT-6 Luna · benchmarks, pricing and providers. BenchGecko, data as of 2026-10-16. https://benchgecko.ai/model/gpt-6-luna

Credit "Source: BenchGecko" with a link. Prices per provider and Gecko Tests are BenchGecko data (CC BY 4.0); benchmark scores keep their original source, listed in the JSON. JSON · llms.txt · MCP