GPT-6 Luna
- Family
- GPT-6
- Released
- 2026-09-22
- Context
- 1.05M
- Max output
- 128K
- Knowledge cutoff
- 2026-05
- Specialization
- general
- Openness
- Proprietary
- License
- ProprietaryCommercial use: conditional
- Weights
- Not released
- Code
- Unknown
- Training
- Pretrained
Cheapest of 4 routes · AWS Bedrock · cache read $0.010
About
OpenAI GPT-6 Luna, announced September 22, 2026 with GPT-6 Sol, is the most efficient GPT-6 tier for focused high-volume tasks below Sol and flagship Astra. First-party OpenAI API id gpt-6-luna. Docs: 1,050,000 context, 128,000 max output, knowledge cutoff May 18, 2026, text and image input to text output, reasoning effort none/low/medium/high/xhigh/max, function calling, structured outputs, prompt caching, Batch and Flex at 50% of Standard, Fast mode at 2x, and computer use and code interpreter via Responses tools.
Providers(4)
Compare all 4Compare API pricing across 4 tracked provider routes for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Batch in / out | Cache | Route |
|---|---|---|---|---|---|
| AWS Bedrock | $0.100 | $0.500 | - | read $0.010 | Serverless |
| Azure OpenAI | $0.100 | $0.500 | - | read $0.010 | Serverless |
| OpenAI API | $0.100 | $0.500 | $0.050 / $0.250 | read $0.010 | Serverless |
| OpenRouter | $0.100 | $0.500 | - | read $0.010 | Serverless |
Available via routers & gateways(17)
LiteLLM
GatewayOpen-source Python SDK and proxy server that unifies 100+ LLM APIs behind a single OpenAI-compatible interface, with load balancing, cost tracking, and configurable failover.
OpenRouter
HybridUnified hybrid gateway to 400+ models from 60+ providers via a single OpenAI-compatible API, with optional auto-routing that selects the best model per prompt.
Portkey
GatewayProduction AI gateway routing to 1,600+ LLMs with failover, load balancing, semantic caching, and guardrails; Apache 2.0 core is fully self-hostable with the complete feature set.
AIRouter
RouterCommercial LLM router that analyzes incoming requests and routes to the optimal model for cost/quality/latency via a drop-in OpenAI-compatible API, with a privacy-preserving embedding mode that avoids sending prompt content.
Amazon Bedrock Intelligent Prompt Routing
RouterAWS Bedrock's native intelligent prompt router that routes prompts between Anthropic Claude model tiers (Haiku/Sonnet) based on predicted task complexity, with no extra per-routing charge.
Azure AI Foundry Model Router
RouterMicrosoft Azure AI Foundry's native model router that uses a trained ML model to route each prompt in real time to the optimal Azure-hosted model, with Balanced/Cost/Quality mode selection and automatic failover.
Capabilities
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Benchmark scores(4)
| Benchmark | Score | Version | Evaluation | Source |
|---|---|---|---|---|
| ARC-AGI-2 | 59.3 | ARC-AGI-2 semi-privateObserved 2026-10-01 | Configuration: gpt-6-luna (Max) Harness: ARC Prize semi-private evaluation Evaluator: ARC Prize Foundation Confidence: confirmed Notes: ARC Prize official leaderboard data (ARC-AGI-2 semi-private), verified in https://arcprize.org/media/data/leaderboard/v2.json (generatedAt 2026-10-01T18:51Z) for modelDisplayName 'GPT-6 Luna (Max)'. Highest-scoring published effort selected. Discovered via Benchmark Heaven / Epoch AI mirror (lead only). | Source |
| FrontierCode 1.1 Main | 42.4 | FrontierCode 1.1 MainObserved 2026-10-05 | Configuration: gpt-6-luna (Max) Harness: codex Evaluator: Cognition Confidence: confirmed Notes: Cognition FrontierCode 1.1 Main (100 tasks) mean@5 composite ('new_score'), verified in https://cognition.com/data/frontiercode-leaderboard/data.json (the data file behind https://cognition.com/frontiercode), retrieved 2026-10-05. Agent harness: codex. Highest-scoring published effort selected; timestamp is retrieval date. | Source |
| FrontierMath Tier 4 | 56.1 | FrontierMath Tier 4 v2 (private)Observed 2026-09-22 | Configuration: gpt-6-luna (Max) Harness: Epoch AI FrontierMath Tier 4 v2 private set Evaluator: Epoch AI Confidence: confirmed Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file frontiermath_tier_4_v2.csv, row 'gpt-6-luna_max', run started 2026-09-22). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only). | Source |
| Google-Proof Q&A | 90.5 | diamondObserved 2026-09-22 | Configuration: gpt-6-luna (Max) Harness: Epoch AI Inspect harness (GPQA Diamond, 198 Q) Evaluator: Epoch AI Confidence: confirmed Notes: Epoch AI-run evaluation (evaluator of record), from Epoch AI Benchmarking Hub data download https://epoch.ai/data/benchmark_data.zip (file gpqa_diamond.csv, row 'gpt-6-luna_max', run started 2026-09-22). Epoch data is CC BY 4.0: credit 'Epoch AI, Capabilities & benchmarking, https://epoch.ai/benchmarks'. Highest-scoring Epoch configuration for this model selected; other configurations exist in the same file. Discovered via Benchmark Heaven (lead only). | Source |
Migration checks
No linked migration route is available for this model yet.
API versions
gpt-6-lunaGPT-6 LunaRankings & picks(2)
Cheapest of 4 routes · AWS Bedrock · cache read $0.010