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GPT-6 Luna

Global Rank
#18
Intelligence Index
39.0%
Blended Price / 1M
$0.2000
Throughput Speed
195 tps
Latency (TTFT)
650 ms
Context Window
1.1M
Price Efficiency
—
VERIFIED TELEMETRY

Benchmark Evaluations

View Benchmark Suites →
GPQA Diamond (default) 81.0%
SciCode (default) 42.0%
SWE-bench Verified (default) 39.5%
Terminal-Bench 2.0 (default) 38.8%
LiveCodeBench (default) 37.5%

Model Overview & Capabilities

GPT-6 Luna is OpenAI’s lightweight high-velocity frontier model launched on October 8, 2026, securing Rank #18 on our leaderboard with an empirical composite score of 39.0. Succeeding the previous GPT-5.6 Luna generation, Luna delivers 39.5% on SWE-bench Verified, 38.8% on Terminal-Bench 2.0, 39.5% on Aider Polyglot, and 78.5% on GPQA Diamond.

With ultra-low pricing of $0.10 per million input tokens and $0.50 per million output tokens, GPT-6 Luna yields an attractive blended rate of $0.20 per million tokens under standard 3:1 input:output weighting, delivering an exceptional value score of $0.0051 per index point. It streams tokens at 195 tokens per second with an initial latency of 0.60 seconds, making it one of the most cost-effective commercial models on the market today.

Featuring a 1,100,000-token context window and 16,384 maximum output tokens, GPT-6 Luna is specifically tailored for background codebase indexing, commit message generation, AST linting, documentation scaffolding, automated changelog synthesis, and high-volume utility automation across modern software development workflows. In production developer environments, Luna serves as an always-on assistant capable of handling repetitive engineering tasks without accumulating excessive cloud compute expenses.

Pricing Trend History

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Closest Frontier Rivals

GPT-5.6 Terra (max) #18
Index: 42.1% $3.15/1M
GLM-5.3 Fast (highspeed) #17
Index: 39.8% $0.80/1M
Claude Haiku 5.5 #19
Index: 38.6% $0.20/1M
Abdullah Zulfiqar
Abdullah ZulfiqarFounder & Technical EditorLast updated 21 October 2026

Abdullah Zulfiqar is the founder and editor of VibeCoderJournal, an independent publication covering AI coding tools, model benchmarks and developer workflows. His coverage includes Claude Code, Codex CLI, local model setup and benchmark methodology. See the About and Editorial Standards page for scoring definitions, source limitations and correction contacts.

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