GPT 5.6 Sol pricing: real cost per million tokens
What OpenAI's GPT 5.6 Sol really costs across 6 plans from 3 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 Sol is ChatGPT Pro 20x at a real cost of about $0.0155 per million tokens ($200/month for roughly 12.902B tokens a month). We track 6 plans and API channels that serve GPT 5.6 Sol. Official API list price per million tokens: $0.4 cached input, $4 input, $20 output — about $0.588 per million tokens on a standard workload mix.
- Lowest real price
- $0.0155/MTokChatGPT Pro 20x
- API list price
- $0.588/MTokstandard workload mix
- Most monthly tokens
- 12.902BChatGPT Pro 20x
- Plans & APIs
- 65 subscriptions · 1 metered API
Plot GPT 5.6 Sol on the price–capability chart →
GPT 5.6 Sol 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 | 12.902B | $0.0155 | 37.9× | High | Evidence ↓ | |
| ChatGPT Plus | OpenAI | Subscription | $20/mo | 0.616B | $0.03247 | 18.1× | Medium | Evidence ↓ | |
| ChatGPT Pro 5x | OpenAI | Subscription | $100/mo | 3.08B | $0.03247 | 18.1× | Medium | Evidence ↓ | |
| Droid Max | Factory | Subscription | $200/mo | 2.526B | $0.07918 | 7.4× | Medium | Evidence ↓ | |
| Command Code GOAT | Command Code | Subscription | $10/mo | 0.092B | $0.1086 | 5.4× | Medium | Evidence ↓ | |
| GPT-5.6 Sol API | OpenAI | Metered API | — | — | $0.588 | — | 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$0.0155015/MTok
- Plan
- ChatGPT Pro 20x · OpenAI
- Data date
- 2026-06-10 – 2026-09-06 · sampled
- Real price / MTok
- $0.0155015
- Monthly tokens
- 12,902,000,000 (12.902B)
- Quota confidence
- High
- Calculation
- $200 / month ÷ 12,902,000,000 tokens × 1,000,000 ≈ $0.0155015 / MTok
- Quota basis
Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
Official API list (cached / in / out, per MTok): $0.4 / $4 / $20 · standard-load blended ≈ $0.588/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 (5 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)
OpenDesign Arena · Quality ranking: 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)
Weighted five-source measurement: Observatory 143.6×3 + Caijing 109×3 + gateway 139.5×2 + Jiankang Zhou 131.2×2 + imon139 120×1; chatgpt-quotas-round5 / caijing-2026-08 / chatgpt-pro20x-gateway-measurement-2026-09-06
Ruling: 123.2 (Plus×20-derived) → 12.902B weighted value: weights follow the Astra round14 convention; the derived value gets no weight and serves only as comparison; gateway segments 10.8B~15.4B, including two Astra segments, down-weighted not dropped; Jiankang Zhou 787M = 24% → 13.1B; the Caijing controlled saturation run 10.9B is the low end; imon139's same-thread statement "~3B/week"; the 20B article figure voided; not workload-normalized: five-source weighting, most sources lack a token breakdown; kept raw
ChatGPT PlusOpenAI$0.0324675/MTok
- Plan
- ChatGPT Plus · OpenAI
- Data date
- 2026-07-30 · sampled
- Real price / MTok
- $0.0324675
- Monthly tokens
- 616,000,000 (0.616B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 616,000,000 tokens × 1,000,000 ≈ $0.0324675 / MTok
- Quota basis
Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
Official API list (cached / in / out, per MTok): $0.4 / $4 / $20 · standard-load blended ≈ $0.588/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 (5 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)
OpenDesign Arena · Quality ranking: 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)
awesome-coding-plan, measured 2026-07-30
Not workload-normalized: the sample has no token breakdown (the 2026-07-30 measurement reports only total); kept raw
ChatGPT Pro 5xOpenAI$0.0324675/MTok
- Plan
- ChatGPT Pro 5x · OpenAI
- Data date
- 2026-07-30 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol
- Real price / MTok
- $0.0324675
- Monthly tokens
- 3,080,000,000 (3.08B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 3,080,000,000 tokens × 1,000,000 ≈ $0.0324675 / MTok
- Quota basis
Not workload-normalized: sample lacks a token breakdown (or is an official absolute token table); raw tokens used as-is
Official API list (cached / in / out, per MTok): $0.4 / $4 / $20 · standard-load blended ≈ $0.588/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 (5 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)
OpenDesign Arena · Quality ranking: 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 × official 5x
flat.json stated 38.9, inconsistent with official 5x; changed to 30.8
Droid MaxFactory$0.0791766/MTok
- Data date
- 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
- Real price / MTok
- $0.0791766
- Monthly tokens
- 2,526,000,000 (2.526B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 2,526,000,000 tokens × 1,000,000 ≈ $0.0791766 / MTok
- Quota basis
Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output
Official API list (cached / in / out, per MTok): $0.4 / $4 / $20 · standard-load blended ≈ $0.588/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 (5 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)
OpenDesign Arena · Quality ranking: 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 × 1.0
Factory official multipliers Opus 5.5 1.6× / gpt-5.6-sol 1.6×: 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; 1.6× is a promotional multiplier reverting to 2× after 2026-11-22 (then ≈0.8× Opus); must re-verify at expiry
droid-model-multipliers-2026-09-29.jsonBrowse the public evidence archive
Command Code GOATCommand Code$0.108578/MTok
- Data date
- 2026-09-30 · official source date
- Real price / MTok
- $0.108578
- Monthly tokens
- 92,100,000 (0.092B)
- Quota confidence
- Medium
- Calculation
- $10 / month ÷ 92,100,000 tokens × 1,000,000 ≈ $0.108578 / MTok
- Quota basis
Standard workload: 97% cache reads / 2.5% input / 0.5% output
Official API list (cached / in / out, per MTok): $0.4 / $4 / $20 · standard-load blended ≈ $0.588/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 (5 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)
OpenDesign Arena · Quality ranking: 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 92.1M: min(shared monthly pool $70, model allowance $70) ÷ 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
GPT-5.6 Sol APIOpenAI$0.588/MTok
- Plan
- GPT-5.6 Sol API · OpenAI
- Data date
- 2026-09-05 · official source date
- Real price / MTok
- $0.588
- 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 (5 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)
OpenDesign Arena · Quality ranking: 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 0.4/in 4.0/out 20.0 × project standard workload 97.0%/2.50%/0.50%
GPT 5.6 Sol 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 | 46.97 | #10 / 60 | GPT-5.6 Sol (max) | Max | — | 6 | 2026-10-01 |
| Terminal-Bench 4.0 | Resolution Rate % | 37.27 | #8 / 18 | Codex - GPT-5.6 Sol (max) | Max | Codex | 1 | 2026-09-21 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 39.9 | #10 / 53 | Artificial Analysis - GPT-5.6 Sol (max) | Max | Artificial Analysis | 5 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,619 | #18 / 54 | gpt-5.6-sol-xhigh (codex-harness) | xhigh | Codex | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | 7.05 | #7 / 39 | GPT 5.6 Sol (xHigh) | xhigh | — | 1 | 2026-09-30 |
| Artificial Analysis Coding Agent Index v1.5 | Coding Agent Index | 54.56 | #9 / 19 | Codex - GPT-5.6 Sol (max) ({'reasoning_effort': 'max'}) | Max | Codex | 1 | 2026-10-01 |
| OpenDesign Arena · Quality ranking | Average task score | 77.6 | #11 / 16 | GPT-5.6 Sol | — | OpenDesign | 1 | 2026-10-01 |
| DeepSWE v1.1 | Pass@1 % | 72.67 | #5 / 33 | mini-swe-agent - gpt-5-6-sol (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 Sol (max) | 46.9727 | — | — / Max / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Sol (xhigh) | 44.0089 | — | — / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Sol (high) | 42.3461 | — | — / High / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Sol (medium) | 39.2364 | — | — / Medium / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Sol (low) | 33.4731 | — | — / Low / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Sol (non-reasoning) [AA estimate]GPT-5.6 Sol (non-reasoning)Marked intelligenceIndexIsEstimated=true in AA embedded payload; retained as estimate, not treated as fully measured. | 28.328 AA estimate | — | — / — / — | — / — | 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 Sol (max)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration. | 37.27 | 33.49 – 41.05 | Codex / Max / — | — / — | 2026-10-01 | Source · Archive |
Terminal-Bench 4.0 (AA) 5 configurations
| Configuration | Score | Score interval | Harness / effort / mode | Source task cost (mean / median) | Checked | Links |
|---|---|---|---|---|---|---|
| Artificial Analysis - GPT-5.6 Sol (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. | 39.899 | — | Artificial Analysis / Max / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Sol (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. | 24.7475 | — | Artificial Analysis / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Sol (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. | 20.7071 | — | Artificial Analysis / High / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Sol (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. | 14.6465 | — | Artificial Analysis / Medium / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Sol (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. | 1.0101 | — | 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 Sol (max)Codex - GPT-5.6 Sol (max) ({'reasoning_effort': '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). | 54.5591 | — | Codex / Max / — | $6.353 / — | 2026-10-01 | Source · Archive |
OpenDesign Arena · Quality ranking 1 configuration
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-sol (max) | 72.6667 | 69.837 – 75.496 | mini-swe-agent / Max / — | $8.386 / $6.841 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-sol (xhigh) | 70.7317 | 69.913 – 71.551 | mini-swe-agent / xhigh / — | $4.704 / $4.117 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-sol (high) | 69.4013 | 67.969 – 70.833 | mini-swe-agent / High / — | $3.47 / $2.979 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-sol (medium) | 61.0619 | 59.479 – 62.645 | mini-swe-agent / Medium / — | $1.862 / $1.545 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-sol (low) | 45.354 | 42.966 – 47.742 | mini-swe-agent / Low / — | $1.074 / $0.9446 | 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 Sol official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.4 | $4 | $20 |
Frequently asked questions
How much does GPT 5.6 Sol really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, GPT 5.6 Sol ranges from $0.0155 (ChatGPT Pro 20x) to $0.588 (GPT-5.6 Sol API) per million tokens.
Which subscription gives the most GPT 5.6 Sol usage?
ChatGPT Pro 20x allows roughly 12.902B tokens of GPT 5.6 Sol per month for $200.
What is the official API price of GPT 5.6 Sol?
Official API list price per million tokens: $0.4 cached input, $4 input, $20 output — about $0.588 per million tokens on a standard workload mix.
How does GPT 5.6 Sol score on independent leaderboards?
GPT 5.6 Sol has scores on 8 leaderboards; its strongest placement is 72.67 (Pass@1 %) on DeepSWE v1.1, #5 of 33 models tracked.
Who makes GPT 5.6 Sol, and where can I use it?
GPT 5.6 Sol (model ID gpt-5.6-sol) is made by OpenAI and is available through Command Code, Factory, OpenAI.
More OpenAI models
| Model | Lowest real $/MTok | Cheapest plan | Plans |
|---|---|---|---|
| GPT 5.6 Luna | $0.00142 | ChatGPT Pro 20x | 7 |
| GPT-6 Luna | $0.00198 | Droid Max | 4 |
| GPT 5.6 Terra | $0.00801 | ChatGPT Pro 20x | 5 |
| 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 |