ModelBench
OpenAI logo
Models/OpenAI

OpenAI: GPT-6 Luna

OpenAI's most efficient model for focused, high-volume tasks

Source-linked gpt-luna Closed weights Released 2026-09-22
API record Report
InputT
OutputT
Input price$0.1/M
Output price$0.5/M
Context1.05M
Max output128K
Providers11
Inference availability

Providers

Provider-specific identifiers, limits, and listed prices per million tokens. Every row links back to the provider's own documentation.

Report a price
Providers offering GPT-6 Luna
ProviderProvider model IDContextMax outputInputOutputCache readCapabilitiesDocs
NanoGPT openai/gpt-6-luna 1.05M 128K $0.05 $0.25 $0.005 ReasoningToolsJSON Docs ↗
Azure gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
OpenAI gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
Vercel AI Gateway openai/gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
OpenCode Zen gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
Merge Gateway openai/gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
OpenRouter openai/gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
LLM Gateway openai/gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
DevPass (LLM Gateway) gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
Kilo Gateway openai/gpt-6-luna 1.05M 128K $0.1 $0.5 $0.01 ReasoningToolsJSON Docs ↗
Venice AI openai-gpt-6-luna 1.05M 128K $0.125 $0.625 $0.013 ReasoningToolsJSON Docs ↗

Capability badges appear only where the provider catalog explicitly lists support. A blank cell means the source is silent, not that the feature is absent.

Listed rates

Price across providers

Input price per million tokens as published by each provider. Bars are drawn from listed rates only — no traffic weighting, since the catalog observes no requests.

Lowest input $0.05/M

Across 11 priced providers

Median input $0.1/M

Midpoint of listed rates

Highest input $0.125/M

2.5× the lowest listed rate

Output range $0.25 – $0.625

Per million output tokens

NanoGPT $0.05/MLowest
Azure $0.1/M
OpenAI $0.1/M
Vercel AI Gateway $0.1/M
OpenCode Zen $0.1/M
Merge Gateway $0.1/M
OpenRouter $0.1/M
LLM Gateway $0.1/M
DevPass (LLM Gateway) $0.1/M
Kilo Gateway $0.1/M
Venice AI $0.125/M
Cost calculator

Estimate a workload

$0.00
Excludes taxes, non-token charges, and tiered discounts.
Specification

Capabilities

Recorded from the source catalog and provider listings.

✓ Reasoning Yes
✓ Tool calling Yes
✓ Structured output Yes
✓ Attachments Yes
✓ Vision input Yes
× Open weights No
Creator
OpenAI
Model family
gpt-luna
Knowledge cutoff
2026-05-18
License
Not documented
Release date
2026-09-22
Model ID
openai/gpt-6-luna
Published evaluations

Benchmarks

Every result stays attached to its source, version, metric and harness. Scores from different versions are never merged, and the profile below plots each benchmark against its own population rather than on a shared scale.

Benchmark registry
Intelligence Index index Source ↗
Intelligence Index #58 of 205

Each strip shows every published score for that benchmark, with this model marked. The lighter shape behind the ticks is the density of results, and the dashed line is the median.

Cost against capability

Price and performance

Listed input price plotted against Intelligence Index, the benchmark with the widest published coverage that this model appears in.

0 31 61 $0.01 $0.1 $1 $10 Anthropic: Claude Opus 5.5 — $4/M, score 57.6 SpaceXAI: Grok 4.7 — $1.6/M, score 46.4 GPT-5.6 Sol — $4/M, score 47.0 Anthropic: Claude Opus 4.8 (batch) — $2.5/M, score 41.8 Inkling Small — $0.45/M, score 26.1 Mistral: Mistral Large 3 2512 — $0.55/M, score 9.7 GPT-5.5 — $5/M, score 38.4 GPT-5.4 — $2.5/M, score 53.1 OpenAI: gpt-oss-20b (batch) — $0.024/M, score 9.0 OpenAI: o3 Mini High (batch) — $0.55/M, score 15.7 Trinity Large Thinking — $0.25/M, score 10.8 SpaceXAI: Grok 4.5 — $2/M, score 38.8 Claude Sonnet 5 — $2/M, score 38.2 Gemma 4 26B A4B IT — $0.042/M, score 26.1 DeepSeek V4 Flash — $0.15/M, score 24.2 inclusionAI: Ling 3.0 Flash VL — $0.06/M, score 24.6 Mistral: Devstral 2 2512 — $0.4/M, score 8.6 Thinking Machines: Inkling (batch) — $1/M, score 25.0 Google: Gemma 4 31B (batch) — $0.39/M, score 15.4 Kimi K3 — $3/M, score 43.6 Anthropic: Claude Opus 4.7 (batch) — $2.5/M, score 55.0 Gemini 3.5 Flash Lite — $0.3/M, score 22.2 LongCat-2.0 — $0.3/M, score 19.1 Z.ai: GLM 5.2 (batch) — $0.7/M, score 33.7 GPT OSS 20B — $0.018/M, score 9.0 OpenAI: GPT-6 Sol (batch) — $1/M, score 47.5 GPT-5.6 Luna — $0.2/M, score 37.3 Muse Spark 1.2 — $1.25/M, score 39.6 OpenAI: GPT-5.4 Nano (batch) — $0.1/M, score 20.7 Mistral: Mistral Small 4 (batch) — $0.075/M, score 11.3 OpenAI: GPT-6 Luna (batch) — $0.05/M, score 37.3 GPT-6 Sol — $2/M, score 47.5 Anthropic: Claude Opus 5.5 (batch) — $2/M, score 57.6 Anthropic: Claude Fable 5.1 — $10/M, score 53.4 MoonshotAI: Kimi K2.7 Code (batch) — $0.95/M, score 43.0 Nemotron 3 Ultra 550B A55B — $0.5/M, score 22.9 Qwen: Qwen3 Next 80B A3B Thinking — $0.15/M, score 16.9 Claude Fable 5 — $10/M, score 49.6 GPT-5 Mini — $0.25/M, score 16.8 Kimi K2 Thinking — $0.4/M, score 17.2 DeepSeek V4 Flash 0731 — $0.035/M, score 34.3 Qwen: Qwen3.8 2.4T A95B (batch) — $2/M, score 39.9 Gemma 4 31B IT — $0.09/M, score 15.4 MiMo-V2.5 — $0.14/M, score 22.3 Qwen: Qwen3.8 Max (0803) — $2/M, score 53.4 Gemini 3.7 Flash — $0.75/M, score 39.1 inclusionAI: Ling 3.0 Flash — $0.021/M, score 20.6 OpenAI: GPT-5.6 Terra (batch) — $1/M, score 42.1 DeepSeek-R1 — $0.696/M, score 11.4 Mistral: Ministral 3 8B 2512 — $0.15/M, score 5.5 Gemini 3.1 Pro Preview — $2/M, score 29.7 Muse Spark 1.1 — $1.25/M, score 33.7 Gemini 3.6 Flash — $0.75/M, score 34.0 Gemini 3.8 Flash — $0.75/M, score 40.9 MiniMax: MiniMax M3 (batch) — $0.3/M, score 29.2 DeepSeek: DeepSeek V4.1 Flash (batch) — $0.112/M, score 39.5 Anthropic: Claude Sonnet 5 (batch) — $1/M, score 38.2 Anthropic: Claude Sonnet 4.6 (batch) — $1.5/M, score 30.1 Z.ai: GLM 5.3 — $0.84/M, score 44.8 Thinking Machines: Inkling Small (batch) — $0.5/M, score 26.1 Google: Gemini 2.5 Pro (batch) — $0.625/M, score 16.1 GPT-5.6 Terra — $2/M, score 42.1 GPT-5.1 — $1.25/M, score 37.5 Z.ai: GLM 5.3 Flash (batch) — $0.06/M, score 41.8 NVIDIA: Nemotron 3 Ultra (batch) — $0.6/M, score 38.3 OpenAI: GPT-6 Astra (batch) — $5/M, score 52.7 Inkling — $1.87/M, score 25.0 Google: Gemini 3.1 Pro Preview (batch) — $1/M, score 29.7 Google: Gemini 3.8 Flash (batch) — $0.375/M, score 40.9 SpaceXAI: Grok 4.3 — $1.25/M, score 24.9 SpaceXAI: Grok 4.3 (batch) — $1/M, score 24.9 Qwen: Qwen3.6 Plus — $0.325/M, score 40.5 Qwen: Qwen3.8 2.4T A95B — $2/M, score 39.9 OpenAI: GPT-5.4 (batch) — $1.25/M, score 53.1 Google: Gemini 3.6 Flash (batch) — $0.375/M, score 34.0 MoonshotAI: Kimi K3 (batch) — $2.28/M, score 43.6 DeepSeek V4 Pro — $0.435/M, score 30.4 OpenAI: gpt-oss-120b (batch) — $0.15/M, score 11.6 DeepSeek: DeepSeek V4 Pro 0813 (batch) — $0.66/M, score 36.0 Anthropic: Claude Sonnet 4.5 — $3/M, score 20.7 Anthropic: Claude Sonnet 4.5 (batch) — $1.5/M, score 20.7 Gemini 2.5 Pro — $1.25/M, score 16.1 DeepSeek V3.2 — $0.18/M, score 32.6 GPT-4.1 mini — $0.4/M, score 14.8 Claude Opus 5 — $5/M, score 50.8 Anthropic: Claude Fable 5.1 (batch) — $5/M, score 53.4 Anthropic: Claude Fable 5 (batch) — $5/M, score 49.6 OpenAI: GPT-5.4 Mini (batch) — $0.375/M, score 24.1 OpenAI: GPT-5 (batch) — $0.625/M, score 35.3 OpenAI: GPT-5 Mini (batch) — $0.125/M, score 16.8 GPT-6 Astra — $10/M, score 52.7 Gemma 3 12B IT — $0.05/M, score 3.8 Google: Gemini 3.5 Flash Lite (batch) — $0.15/M, score 22.2 Qwen: Qwen3 235B A22B Thinking 2507 — $0.23/M, score 12.7 Gemini 3.5 Flash — $1.5/M, score 32.6 Qwen: Qwen3.7 Plus — $0.32/M, score 25.2 OpenAI: GPT-4.1 Nano (batch) — $0.05/M, score 9.6 Qwen: Qwen3.5-9B (batch) — $0.17/M, score 21.8 Google: Gemini 3.5 Flash (batch) — $0.75/M, score 32.6 Ling 3.0 Flash Fin — $0.06/M, score 22.6 Kimi K2.5 — $0.3/M, score 36.0 DeepSeek: DeepSeek V4 Flash 0731 (batch) — $0.11/M, score 34.3 Nemotron 3.5 Lightning 30B A3B — $0.05/M, score 12.9 Z.ai: GLM 5.1 — $0.966/M, score 26.1 Nemotron 3 Super 120B A12B — $0.2/M, score 12.8 Z.ai: GLM 5.3 Flash — $0.15/M, score 41.8 OpenAI: GPT-5.6 Sol (batch) — $1/M, score 47.0 MiMo-V2.6-Pro — $0.435/M, score 46.3 Nemotron 3 Nano 30B A3B — $0.05/M, score 8.9 OpenAI: GPT-5.1 (batch) — $0.625/M, score 37.5 Anthropic: Claude Haiku 4.5 (batch) — $0.5/M, score 16.9 Z.ai: GLM 4.6 — $0.43/M, score 29.3 DeepSeek: DeepSeek V3.1 Terminus — $0.27/M, score 14.8 Qwen: Qwen3.8 27B — $0.42/M, score 33.7 Mistral: Mistral Medium 3.1 — $0.4/M, score 9.2 GPT-4.1 nano — $0.1/M, score 9.6 MiMo-V2.5-Pro — $0.435/M, score 26.0 Mistral: Mistral Medium 3.5 (batch) — $0.75/M, score 14.2 Solar Pro 4 — $0.3/M, score 41.6 OpenAI: GPT-4.1 Mini (batch) — $0.2/M, score 14.8 Google: Gemini 3.7 Flash (batch) — $0.375/M, score 39.1 IBM: Granite 4.2 8B — $0.06/M, score 11.1 MiniMax: MiniMax M2.7 — $0.3/M, score 22.8 Anthropic: Claude Opus 4.7 — $5/M, score 55.0 Anthropic: Claude Sonnet 4.6 — $3/M, score 30.1 OpenAI: GPT-5.6 Luna (batch) — $0.1/M, score 37.3 GPT-5.4 mini — $0.75/M, score 24.1 GPT-5 — $1.25/M, score 35.3 Anthropic: Claude Opus 4.8 — $5/M, score 41.8 Hy3 preview — $0.172/M, score 25.3 DeepSeek V4 Pro 0813 — $0.442/M, score 36.0 Qwen: Qwen3.8 Max (0902) — $2/M, score 45.4 Z.ai: GLM 5.3 (batch) — $0.72/M, score 44.8 MiniMax: MiniMax M3 — $0.3/M, score 29.2 OpenAI: GPT-5.5 (batch) — $2.5/M, score 38.4 Inception: Mercury 2 — $0.25/M, score 11.5 Mistral: Mistral Medium 3.1 (batch) — $0.2/M, score 9.2 Anthropic: Claude Sonnet 4 — $3/M, score 29.8 Qwen: Qwen3 14B — $0.12/M, score 6.4 GPT-6 Luna — $0.1/M, score 37.3 GPT-5.4 nano — $0.2/M, score 20.7 Kimi K2.6 — $0.95/M, score 27.0 SpaceXAI: Grok 4.6 — $2/M, score 44.3 DeepSeek V4.1 Flash — $0.15/M, score 39.5 Anthropic: Claude Opus 5 (batch) — $2.5/M, score 50.8 Gemini 3.1 Flash Lite Preview — $0.25/M, score 15.6 Mistral: Ministral 3 8B 2512 (batch) — $0.075/M, score 5.5 Mistral: Mistral Large 3 2512 (batch) — $0.25/M, score 9.3 Gemma 3 27B IT — $0.08/M, score 4.9 GPT OSS 120B — $0.03/M, score 11.6 Kimi K2.7 Code — $0.95/M, score 25.8 Qwen: Qwen3 30B A3B Thinking 2507 — $0.2/M, score 9.8 Z.ai: GLM 5.2 — $0.65/M, score 33.7 Qwen: Qwen3.7 Max — $1.475/M, score 29.5 SpaceXAI: Grok Build 0.1 — $1/M, score 40.7 Qwen: Qwen3.6 35B A3B — $0.15/M, score 18.2 Qwen: Qwen3.6 27B — $0.32/M, score 21.4 inclusionAI: Ling-2.6-flash — $0.01/M, score 14.2 Mistral: Mistral Small 4 — $0.15/M, score 11.3 Kwaipilot: KAT-Coder-Pro V2 — $0.3/M, score 33.7 Qwen: Qwen3.5-9B — $0.1/M, score 21.8 Qwen: Qwen3.5-35B-A3B — $0.312/M, score 24.3 Qwen: Qwen3.5-122B-A10B — $0.26/M, score 15.6 Upstage: Solar Pro 3 — $0.15/M, score 7.8 Z.ai: GLM 4.7 — $0.4/M, score 34.5 Amazon: Nova 2 Lite — $0.3/M, score 18.4 Mistral: Ministral 3 3B 2512 — $0.1/M, score 4.8 Meta: Llama 4 Maverick — $0.188/M, score 9.3 OpenAI: o3 Mini High — $1.1/M, score 11.0 Meta: Llama 3.3 70B Instruct — $0.1/M, score 9.3 Meta: Llama 3.1 8B Instruct — $0.05/M, score 7.8 Nex-N2-Pro — $0.5/M, score 41.7 Mistral: Mistral Medium 3.5 — $1.5/M, score 14.2 inclusionAI: Ring-2.6-1T — $0.075/M, score 31.7 Qwen: Qwen3.5 397B A17B — $0.55/M, score 18.4 Qwen: Qwen3 Coder Next — $0.12/M, score 9.2 Mistral: Ministral 3 14B 2512 — $0.2/M, score 6.0 Anthropic: Claude Haiku 4.5 — $1/M, score 16.9 Qwen: Qwen3 8B — $0.117/M, score 5.2 Qwen: Qwen3 32B — $0.08/M, score 7.2 Meta: Llama 4 Scout — $0.1/M, score 6.5 DeepSeek: DeepSeek V3 0324 — $0.25/M, score 9.7 Cohere: Command A — $2.5/M, score 13.1 Step 3.7 Flash — $0.185/M, score 30.9 GPT-6 Luna Input price per million tokens (log scale) Index

The stepped line is the efficient frontier: at each price, the best score available for that money or less. A model sitting on it is not being beaten by anything cheaper. Price is log-scaled because listed rates span four orders of magnitude. Only models with both a listed price and a score on this benchmark can appear.

Catalog activity

Change log

Field-level changes detected between successful source imports.

Full change log
Price Prompt0.09999999999999999 → 0.1
Price Prompt0.1 → 0.09999999999999999
Price Prompt0.09999999999999999 → 0.1
Price Prompt0.1 → 0.09999999999999999
Price Prompt0.09999999999999999 → 0.1
Price Prompt0.1 → 0.09999999999999999
Price Prompt0.09999999999999999 → 0.1
Price Prompt0.1 → 0.09999999999999999
Price Prompt0.09999999999999999 → 0.1
Price Prompt0.1 → 0.09999999999999999
Provenance

Sources & verification

Every figure on this page traces back to one of these records.

Methodology
Last verified
Sep 23, 2026
Status
Source-linked
Confidence
Medium
Catalog source
Models.dev
Models.devcatalog ↗NanoGPT documentationprovider documentation ↗Azure documentationprovider documentation ↗OpenAI documentationprovider documentation ↗Vercel AI Gateway documentationprovider documentation ↗OpenCode Zen documentationprovider documentation ↗Merge Gateway documentationprovider documentation ↗OpenRouter documentationprovider documentation ↗DevPass (LLM Gateway) documentationprovider documentation ↗Kilo Gateway documentationprovider documentation ↗Venice AI documentationprovider documentation ↗Intelligence Indexindependent benchmark ↗
Public API

Use this record

Fetch the complete source-linked model record. No key, no account, no rate-limited tier.

API documentation
Endpoint
GET https://model.kyssta.lol/api/v1/models/openai/gpt-6-luna
curl
curl "https://model.kyssta.lol/api/v1/models/openai/gpt-6-luna"
Common questions

Frequently asked questions

Answered directly from the stored record — nothing here is generated beyond the catalog's own fields.

What is GPT-6 Luna?

OpenAI's most efficient model for focused, high-volume tasks. It is published by OpenAI and catalogued here from Models.dev.

How much does GPT-6 Luna cost?

Listed input pricing starts at $0.05 per million tokens from NanoGPT, rising to $0.125 across 11 listed providers.

What is the context length of GPT-6 Luna?

GPT-6 Luna accepts up to 1.05M tokens of context and returns up to 128K output tokens.

Does GPT-6 Luna support tool calling and structured output?

Provider catalogs list support for tool calling, structured output, reasoning, and image input.

Which providers serve GPT-6 Luna?

11 providers list this model: NanoGPT, Azure, OpenAI, Vercel AI Gateway, OpenCode Zen, Merge Gateway and 5 more.

Are the weights for GPT-6 Luna open?

No. This model is served through hosted APIs only.

When was GPT-6 Luna released?

The catalog records a release date of 2026-09-22, last verified Sep 23, 2026.

More models from OpenAI

View all →
OpenAI: o3 Pro (batch)

The o-series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o3-pro model uses more compute to think harder and provide consistently...

200K ctx $10/M in GPT-5-Codex

Coding-optimized GPT model for repository edits, reviews, and agentic software work

400K ctx $1.1/M in GPT Image 2.5 Flare

Image model for prompt-driven generation, editing, and visual design workflows

Not documented ctx $5/M in GPT-5.2

Reliable GPT generation for broad coding, writing, and tool-assisted product work

400K ctx $1.75/M in