OpenRouter model
OpenAI: GPT-6 Luna
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...
- Provider
- OpenRouter
- Availability
- Available
- Model ID
- openai/gpt-6-luna
- Snapshot
- 2026-10-07
OpenAI: GPT-6 Luna Benchmarks & Agentic Accuracy
Verified primary research & developer preference metrics
What This Means in Real Software Development
- Achieves the lowest cost per Intelligence task globally at an unbelievable $0.07/task.
- Outputs 157 tokens per second for lightning-fast subagent iterations.
- Scores 37 on the Artificial Analysis Intelligence Index v4.3.2 and 39 on Finance & Accounting.
- Priced at just $0.12/M input and $0.48/M output tokens.
Swarm Multi-Agent Topology
Best Paired With: gpt-6-astra or claude-opus-5
Handles dozens of parallel subtasks at near-zero incremental cost.
Ideal for high-fanout Coder worktree waves running concurrent test fixes.
What Developers & Practitioners Are Saying
Real-world field observations, production strengths, and developer consensus
"OpenAI's most economical reasoning model ever created. At $0.07 per task, teams run continuous automated unit test generation and lint repair 24/7."
Verified Real-World Strengths
- Absolute lowest cost per task ($0.07) in the Artificial Analysis Index
- High-throughput 157 TPS streaming rate
- Reliable OpenAI tool use and schema validation
Production Caveats & Gaps
- Intelligence Index (37) below Tier 1 flagships for deep architectural design
- Requires supervision from GPT-6 Astra on complex multi-stage tasks
Primary Sources & Methodology Citations
- Artificial Analysis Intelligence Index v4.3.2 — Artificial Analysis (September 2026)
- OpenAI GPT-6 Luna Efficiency Report — OpenAI (June 2026)
Head-to-Head Frontier Comparisons: OpenAI: GPT-6 Luna vs Rivals
Standardized, side-by-side benchmark & economics comparison against peer models
| Model | Role / Tier | SWE-bench | LiveCodeBench | LMSYS Elo | AIME | Input / Output |
|---|---|---|---|---|---|---|
OpenAI: GPT-6 LunaOpenRouterCurrent | Tier 2: Extreme Efficiency Subagent | 64.5% | 56.8% | 1358 | — | $0.12 / $0.48 |
Qwen 3.8 27BQwen Compare OpenAI: GPT-6 Luna vs Qwen 3.8 27B → | Tier 2: Open-Weights Specialist | 62% | 54.5% | 1342 | — | $0.2 / $0.8 |
GLM 5.3 FlashZhipu AI Compare OpenAI: GPT-6 Luna vs GLM 5.3 Flash → | Tier 2: High-Speed Coder Subagent | 66.8% | 58.5% | 1365 | — | $0.3 / $1.2 |
K2 Horizon 375B A23BIndependent Compare OpenAI: GPT-6 Luna vs K2 Horizon 375B A23B → | Tier 2: MoE Systems Specialist | 59.8% | 52% | 1330 | — | $0.4 / $1.6 |
OpenAI o4-miniOpenAI Compare OpenAI: GPT-6 Luna vs OpenAI o4-mini → | Tier 2: High-Speed Deductive Engine | 56.8% | 73.4% | 1385 | 90.1% | $1.2 / $4.8 |
OpenAI: GPT-6 Luna model overview
OpenAI: GPT-6 Luna is listed in the public Swarm catalog through OpenRouter. This page summarizes the verified catalog fields used by Swarm without claiming real-time access for every provider account.
- Provider
- OpenRouter
- Family
- OpenRouter
- Context window
- 1.05M tokens
- Thinking support
- off · low · medium · high · xhigh · max
- Availability status
- Available
- Catalog ID
- openrouter/openai/gpt-6-luna
Run OpenAI: GPT-6 Luna in Swarm
Verified CLI workflow & multi-agent architecture
swarm ctl model set --provider openrouter --model openrouter/openai/gpt-6-luna# Or switch interactively inside the terminal TUI:
/modelsSubagent Role Matrix
Assign OpenAI: GPT-6 Luna to specialized system roles in ~/.swarm/config.json:
- Primary / Planner: Orchestrates full task DAGs and multi-stage pipelines.
- Coder Subagent: Generates code and unit tests inside private Git worktrees.
- Finder Subagent: Performs read-only code search, symbol discovery, and mapping.
Public catalog snapshot. Catalog availability is not a real-time provider status or an access guarantee.