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GPT-6 Luna

Proprietarygeneralcodingfastbudget
Leaderboard Score
51.2
Scale: 0 - 100
Throughput Speed
157 tps
Context Window
1.1M
API Pricing / 1M
$0.10
Parameter Scale
Proprietary
Verified AI Radar & Benchmarks8 Evaluated Metrics

Capability Radar & Benchmark Scores

Multi-Axis Capability Radar

Comparing GPT-6 Luna against Frontier Top 10 & Open-Source average

0 - 100 Scale
GPT-6 Luna
Frontier Top 10 Avg
Open-Source Avg
Performance Vectors

Where GPT-6 Luna Leads

Coding & SWETop 10: 79.1% • OS: 47.6%
72.4%-6.7% vs Top 10
Reasoning & MathTop 10: 74.6% • OS: 46.6%
62.0%-12.6% vs Top 10
Agent & Tool AutomationTop 10: 71.2% • OS: 31.9%
42.1%-29.1% vs Top 10
Terminal & CLI ExecutionTop 10: 80.4% • OS: 47.6%
71.0%-9.4% vs Top 10
MMLU & Knowledge QATop 10: 50% • OS: 86.7%
64.0%+14.0% vs Top 10
Cyber & Security ExploitsTop 10: 87.8% • OS: 80.6%
48.6%-39.2% vs Top 10

All Verified Benchmark Evaluations

Direct Pass@1 and resolution rates across standardized evaluations.

CodingReasoningAgenticMath
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Executive Analysis & Verdict

GPT-6 Luna by OpenAI is an ultra-fast, budget-optimized coding and reasoning model delivering 157 tps, 1.1M context, and the lowest cost-per-task ($0.068) on Artificial Analysis.

Key Strengths & Highlights

  • Lowest cost per Intelligence Index task ($0.068) in the frontier class
  • Blazing 157 tps throughput with sub-250ms time-to-first-token latency
  • Strong 72.4% SWE-bench coding accuracy at just $0.10 per 1M input tokens

Limitations & Considerations

  • Not intended for maximum-difficulty math proofs or doctoral-level formal logic
Recommended Workflows
High-volume code generation, CI/CD automated review bots, customer-facing agents, and economical developer workflows

The High-Speed, Ultra-Budget Frontier Workhorse

OpenAI’s GPT-6 Luna is engineered for extreme efficiency. At only $0.10 per million input tokens and 157 tokens per second, it provides accessible frontier performance for high-frequency agentic loops and production deployments.

Key Specifications

  • Provider: OpenAI
  • License / Weights: Proprietary
  • Context Window: 1,050,000 tokens (1.1M)
  • Max Output: 128,000 tokens
  • Inference Speed: 157 tps
  • API Pricing: $0.10 / 1M input tokens ($0.50 / 1M output tokens, $0.01 cache read)

Benchmark Highlights

  • Overall Score: 51.2 / 100
  • Artificial Analysis Intelligence Index: 37.3
  • AA-Briefcase Elo: 1299
  • SWE-bench Verified: 72.4%
  • GPQA Diamond: 62.0%
  • MATH-500: 66.5%
  • Terminal-Bench: 71.0%

Frequently Asked Questions About GPT-6 Luna

What is GPT-6 Luna and who developed it?
GPT-6 Luna is a proprietary large language model developed by OpenAI. It ranks #34 on the RankLLMs composite leaderboard, ahead of 61% of the 85 models we track, with an overall score of 51.2 / 100.
What context window and inference speed does GPT-6 Luna offer?
GPT-6 Luna supports a NaNK-token input context window and generates about 157 tps tokens per second in our reference measurements and suitable for extended reasoning sessions and multi-turn agent workflows..
Why is GPT-6 Luna priced so far below its peers?
GPT-6 Luna is cheaper than 88% of the priced models we track at $0.10 per 1M tokens, while keeping competitive benchmark scores - which is why it rates well on cost per solved task, not just per token.
What is GPT-6 Luna best at?
GPT-6 Luna is strongest in Lowest cost per Intelligence Index task ($0.068) in the frontier class; Blazing 157 tps throughput with sub-250ms time-to-first-token latency; Strong 72.4% SWE-bench coding accuracy at just $0.10 per 1M input tokens. Full pillar-by-pillar numbers are in the benchmark tables above.
What should you watch out for with GPT-6 Luna?
Known trade-offs include: Not intended for maximum-difficulty math proofs or doctoral-level formal logic. Weigh these against the strengths above for your specific workload.

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