GPT 5.6 Luna pricing: real cost per million tokens
What OpenAI's GPT 5.6 Luna really costs across 7 plans from 4 providers: monthly fees, usable allowances and real per-token prices, against the official API list price and independent leaderboards.
Data updated · How real prices are computed
As of 2026-10-08, the cheapest way to use GPT 5.6 Luna is ChatGPT Pro 20x at a real cost of about $0.00142 per million tokens ($200/month for roughly 141.163B tokens a month). We track 7 plans and API channels that serve GPT 5.6 Luna. Official API list price per million tokens: $0.02 cached input, $0.2 input, $1.2 output — about $0.0304 per million tokens on a standard workload mix.
- Lowest real price
- $0.00142/MTokChatGPT Pro 20x
- API list price
- $0.0304/MTokstandard workload mix
- Most monthly tokens
- 141.163BChatGPT Pro 20x
- Plans & APIs
- 76 subscriptions · 1 metered API
Plot GPT 5.6 Luna on the price–capability chart →
GPT 5.6 Luna plans and real prices
Real price = monthly fee ÷ tokens you can actually use in a month. “vs API” shows how many times cheaper than the official API list price (standard workload mix) the plan is. “Evidence” opens the full calculation and sources for that row.
| Plan | Provider | Billing | Monthly fee | Monthly tokens | Real $/MTok | vs API | Confidence | Data date | |
|---|---|---|---|---|---|---|---|---|---|
| ChatGPT Pro 20x | OpenAI | Subscription | $200/mo | 141.163B | $0.00142 | 21.5× | Medium | Evidence ↓ | |
| ChatGPT Pro 5x | OpenAI | Subscription | $100/mo | 35.291B | $0.00283 | 10.7× | Medium | Evidence ↓ | |
| ChatGPT Plus | OpenAI | Subscription | $20/mo | 7.058B | $0.00283 | 10.7× | High | Evidence ↓ | |
| Droid Max | Factory | Subscription | $200/mo | 50.52B | $0.00396 | 7.7× | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.658B | $0.0152 | 2× | Medium | Evidence ↓ | |
| OpenCode Go | OpenCode | Subscription | $10/mo | 0.493B | $0.02027 | 1.5× | Medium | Evidence ↓ | |
| GPT-5.6 Luna API | OpenAI | Metered API | — | — | $0.0304 | — | High | Evidence ↓ |
Behind each number
For every plan: the data date, the exact calculation, the quota basis, how leaderboard scores were mapped, and the original adoption evidence with its sources.
ChatGPT Pro 20xOpenAI$0.0014168/MTok
- Plan
- ChatGPT Pro 20x · OpenAI
- Data date
- 2026-09-08 · derived; uses the data date of ChatGPT Plus · gpt-5.6-luna
- Real price / MTok
- $0.0014168
- Monthly tokens
- 141,163,000,000 (141.163B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 141,163,000,000 tokens × 1,000,000 ≈ $0.0014168 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
Plus Luna measurement × official 20x; GitHub #8 community dollar-equivalent corroboration; chatgpt-luna-adoption-round6-2026-09-08.json
Old 240.24B→150.222B→141.163B: Plus Luna measurement × official 20x (the 2026-09-30 normalization basis 75.11→70.58 carries over); converting the screenshot's actual token mix to public API prices gives ≈$1,073/week, same magnitude as the community's "Luna x20 under $1,200, Sol x20 about $2,000". The dollar equivalent corroborates the pool ratio only; it is not converted directly to tokens
chatgpt-luna-adoption-round6-2026-09-08.jsonBrowse the public evidence archive
ChatGPT Pro 5xOpenAI$0.00283358/MTok
- Plan
- ChatGPT Pro 5x · OpenAI
- Data date
- 2026-09-08 · derived; uses the data date of ChatGPT Plus · gpt-5.6-luna
- Real price / MTok
- $0.00283358
- Monthly tokens
- 35,291,000,000 (35.291B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 35,291,000,000 tokens × 1,000,000 ≈ $0.00283358 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
Plus Luna measurement × official 5x; chatgpt-luna-adoption-round6-2026-09-08.json
Old 60.06B→37.556B→35.291B: Plus Luna measurement × official 5x (the 2026-09-30 normalization basis 75.11→70.58 carries over); independently measured on a non-Pro 5x account
chatgpt-luna-adoption-round6-2026-09-08.jsonBrowse the public evidence archive
ChatGPT PlusOpenAI$0.00283366/MTok
- Plan
- ChatGPT Plus · OpenAI
- Data date
- 2026-09-08 · sampled
- Real price / MTok
- $0.00283366
- Monthly tokens
- 7,058,000,000 (7.058B)
- Quota confidence
- High
- Calculation
- $20 / month ÷ 7,058,000,000 tokens × 1,000,000 ≈ $0.00283366 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
Maintainer's Plus panel: 112,666,769 total tokens ≈ 6% of the weekly quota; chatgpt-luna-adoption-round6-2026-09-08.json; workload-conversion-round1-2026-09-30.json
7.511B→7.058B (2026-09-30 decision: uniform workload-normalization for measured samples with token breakdown): segment worth $3.2185 (cache 109.36M×$0.02 + input 2.94M×$0.2 + output 0.37M×$1.2) ÷6%×4 weeks = $214.57 ÷ standard-tier blended price $0.0304/MTok; the raw-basis 75.11 is kept for comparison. Original adoption decision — old 12.012B (Sol baseline × unified credits price ratio 19.5) → 7.511B: 112,666,769÷6%×4 weeks (original raw basis); if 6% is a rounded integer, the normalized-basis range is about 6.52B~7.70B/month (raw basis 69.33~81.94); measured token mix: cache read 97.06%, regular input 2.61%, output 0.33%
chatgpt-luna-adoption-round6-2026-09-08.jsonworkload-conversion-round1-2026-09-30.jsonBrowse the public evidence archive
Droid MaxFactory$0.00395883/MTok
- Data date
- 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
- Real price / MTok
- $0.00395883
- Monthly tokens
- 50,520,000,000 (50.52B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 50,520,000,000 tokens × 1,000,000 ≈ $0.00395883 / MTok
- Quota basis
Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
Derived from same-plan claude-opus-5.5 2.526B × 20.0
Factory official multipliers Opus 5.5 1.6× / gpt-5.6-luna 0.08×: the same Standard Usage pool scaled by multiplier — not a measurement of this model; inherits the Opus 5.5 row's Anthropic-tier workload, not recomputed for each model's own price gap; docs.factory.ai/docs/models; droid-model-multipliers-2026-09-29.json
droid-model-multipliers-2026-09-29.jsonBrowse the public evidence archive
Command Code GOATCommand Code$0.0151999/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0151999
- Monthly tokens
- 657,900,000 (0.658B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 657,900,000 tokens × 1,000,000 ≈ $0.0151999 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://commandcode.ai/docs/plans/goat official per-model allowance and three-part pricing; https://commandcode.ai/pricing; $10->$70 credits; code-subscriptions-round1-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json
Added 657.9M: min(shared monthly pool $70, model allowance $20) ÷ project standard-workload weighted price; official three-part pricing. Processing fee ignored; allowances of different models in the same plan are not additive; no usage-panel token+% screenshot — computed from official absolute credits and the price list
https://commandcode.ai/docs/plans/goathttps://commandcode.ai/pricing;code-subscriptions-round1-2026-09-06.jsongoat-opencode-catalogs-round3-2026-09-30.jsonBrowse the public evidence archive
OpenCode GoOpenCode$0.0202675/MTok
- Plan
- OpenCode Go · OpenCode
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.0202675
- Monthly tokens
- 493,400,000 (0.493B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 493,400,000 tokens × 1,000,000 ≈ $0.0202675 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.02 / $0.2 / $1.2 · standard-load blended ≈ $0.0304/MTok
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
https://opencode.ai/docs/go/ official per-model Usage and three-part pricing; opencode-go-round5-2026-09-06.json; goat-opencode-catalogs-round3-2026-09-30.json
Old: 525M (request estimate)→493.4M: min(shared monthly pool $60, model Usage $15) ÷ project standard-workload weighted price; ≤272K list price; the >272K band kept in research variants. The official request counts serve only as a cross-check and are no longer the primary allowance figure; allowances of different models in the same plan are not additive
https://opencode.ai/docs/go/goat-opencode-catalogs-round3-2026-09-30.jsonopencode-go-round5-2026-09-06.jsonBrowse the public evidence archive
GPT-5.6 Luna APIOpenAI$0.0304/MTok
- Plan
- GPT-5.6 Luna API · OpenAI
- Data date
- 2026-09-05 · official source date
- Real price / MTok
- $0.0304
- Quota confidence
- High
- Calculation
- Metered API · public token prices weighted by the project standard workload.
- Benchmark mapping
- Artificial Analysis Intelligence Index v4.3: Medium (6 configurations)
Terminal-Bench 4.0: Low (1 configuration)
Terminal-Bench 4.0 (AA): Low (6 configurations)
Code Arena | WebDev Overall: Low (1 configuration)
Agent Arena · Overall (Ranking / Pareto): Low (1 configuration)
Artificial Analysis Coding Agent Index v1.5: Low (1 configuration)
DeepSWE v1.1: Low (5 configurations)Mapping confidence: how directly each score refers to the model served here.
Adoption evidence · source and rationale (translated from the Chinese record)
developers.openai.com
List price cached 0.02/in 0.2/out 1.2 × project standard workload 97.0%/2.50%/0.50%
GPT 5.6 Luna benchmark scores
Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.
| Leaderboard | Metric | Score | Rank | Configuration | Effort | Harness | Configs | Snapshot |
|---|---|---|---|---|---|---|---|---|
| Artificial Analysis Intelligence Index v4.3 | Intelligence Index | 37.32 | #30 / 60 | GPT-5.6 Luna (max) | Max | — | 6 | 2026-10-01 |
| Terminal-Bench 4.0 | Resolution Rate % | 17.27 | #15 / 18 | Codex - GPT-5.6 Luna (max) | Max | Codex | 1 | 2026-09-21 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 11.62 | #32 / 53 | Artificial Analysis - GPT-5.6 Luna (max) | Max | Artificial Analysis | 6 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,518 | #35 / 54 | gpt-5.6-luna-xhigh (codex-harness) | xhigh | Codex | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | -1.09 | #26 / 39 | GPT 5.6 Luna (xHigh) | xhigh | — | 1 | 2026-09-30 |
| Artificial Analysis Coding Agent Index v1.5 | Coding Agent Index | 43.22 | #15 / 19 | Codex - GPT-5.6 Luna (max) | Max | Codex | 1 | 2026-10-01 |
| DeepSWE v1.1 | Pass@1 % | 67.19 | #14 / 33 | mini-swe-agent - gpt-5-6-luna (max) | Max | mini-swe-agent | 5 | 2026-09-03 |
Every archived configuration
Artificial Analysis Intelligence Index v4.3 6 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| GPT-5.6 Luna (max) | 37.3244 | — | — / Max / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Luna (xhigh) | 34.5553 | — | — / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Luna (high) | 32.1196 | — | — / High / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Luna (medium) | 25.0359 | — | — / Medium / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Luna (low) | 21.0125 | — | — / Low / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Luna (non-reasoning) | 15.527 | — | — / — / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Codex - GPT-5.6 Luna (max)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration. | 17.27 | 14.42 – 20.12 | Codex / Max / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 (AA) 6 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - GPT-5.6 Luna (max)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 11.6162 | — | Artificial Analysis / Max / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Luna (xhigh)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 3.5354 | — | Artificial Analysis / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Luna (high)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 2.5253 | — | Artificial Analysis / High / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Luna (non-reasoning)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 1.0101 | — | Artificial Analysis / — / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Luna (medium)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 0.5051 | — | Artificial Analysis / Medium / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Luna (low)AA's own-harness independent measurement of Terminal-Bench 4.0 (the terminalBench40 field in the models-board payload, fraction×100); scored separately from the official tbench.ai board. | 0 | — | Artificial Analysis / Low / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
Agent Arena · Overall (Ranking / Pareto) 1 configuration
Artificial Analysis Coding Agent Index v1.5 1 configuration
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Codex - GPT-5.6 Luna (max)Score belongs to this named agent/harness × model configuration; it is not a harness-independent model measurement. indexScore stored as percent (raw fraction × 100). | 43.2247 | — | Codex / Max / — | $0.438 / — | 2026-10-01 | Source · Archive |
DeepSWE v1.1 5 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| mini-swe-agent - gpt-5-6-luna (max) | 67.1875 | 63.195 – 71.18 | mini-swe-agent / Max / — | $3.028 / $2.292 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-luna (xhigh) | 56.8584 | 54.69 – 59.027 | mini-swe-agent / xhigh / — | $1.536 / $1.245 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-luna (high) | 44.2478 | 41.328 – 47.167 | mini-swe-agent / High / — | $0.7779 / $0.6636 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-luna (medium) | 11.2832 | 10.453 – 12.114 | mini-swe-agent / Medium / — | $0.2163 / $0.1995 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-luna (low) | 1.5487 | 0.718 – 2.379 | mini-swe-agent / Low / — | $0.07241 / $0.06979 | 2026-09-12 | Source · Archive |
These are reference mappings, not benchmarks of a subscription or API channel. Harness and quota-measurement effort alignment are unverified. Source task costs are not subscription task costs.
- Exact served-model reference; quota-measurement effort is unverified.
- Exact served-model reference only; product harness and quota-measurement effort are unverified. Not a benchmark measurement of this subscription or API channel.
GPT 5.6 Luna official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.02 | $0.2 | $1.2 |
Frequently asked questions
How much does GPT 5.6 Luna really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, GPT 5.6 Luna ranges from $0.00142 (ChatGPT Pro 20x) to $0.0304 (GPT-5.6 Luna API) per million tokens.
Which subscription gives the most GPT 5.6 Luna usage?
ChatGPT Pro 20x allows roughly 141.163B tokens of GPT 5.6 Luna per month for $200.
What is the official API price of GPT 5.6 Luna?
Official API list price per million tokens: $0.02 cached input, $0.2 input, $1.2 output — about $0.0304 per million tokens on a standard workload mix.
How does GPT 5.6 Luna score on independent leaderboards?
GPT 5.6 Luna has scores on 7 leaderboards; its strongest placement is 67.19 (Pass@1 %) on DeepSWE v1.1, #14 of 33 models tracked.
Who makes GPT 5.6 Luna, and where can I use it?
GPT 5.6 Luna (model ID gpt-5.6-luna) is made by OpenAI and is available through Command Code, Factory, OpenAI, OpenCode.
More OpenAI models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| GPT-6 Luna | $0.00198 | Droid Max | 4 |
| GPT 5.6 Terra | $0.00801 | ChatGPT Pro 20x | 5 |
| GPT 5.6 Sol | $0.0155 | ChatGPT Pro 20x | 6 |
| GPT-6 Sol | $0.01818 | ChatGPT Plus | 2 |
| GPT 5.5 | $0.02004 | ChatGPT Pro 20x | 3 |
| GPT-6.1 Sol | $0.02299 | ChatGPT Plus | 1 |
| GPT-6 Astra | $0.05247 | ChatGPT Pro 20x | 5 |