GPT 5.5 pricing: real cost per million tokens

What OpenAI's GPT 5.5 really costs across 3 plans from 1 provider: 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 5.5 is ChatGPT Pro 20x at a real cost of about $0.02004 per million tokens ($200/month for roughly 9.982B tokens a month). We track 3 plans and API channels that serve GPT 5.5. Official API list price per million tokens: $0.5 cached input, $5 input, $30 output — about $0.76 per million tokens on a standard workload mix.

Lowest real price
$0.02004/MTokChatGPT Pro 20x
API list price
$0.76/MTokstandard workload mix
Most monthly tokens
9.982BChatGPT Pro 20x
Plans & APIs
33 subscriptions · 0 metered APIs
Maker
OpenAI
Model ID
gpt-5.5
Providers
OpenAI
Leaderboards
Artificial Analysis Intelligence Index v4.3, Terminal-Bench 4.0 (AA), Code Arena | WebDev Overall, Agent Arena · Overall (Ranking / Pareto), DeepSWE v1.1

Plot GPT 5.5 on the price–capability chart →

GPT 5.5 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.

Every tracked way to use GPT 5.5, cheapest first
PlanProviderBillingMonthly feeMonthly tokensReal $/MTokvs APIConfidenceData date
ChatGPT Pro 20xOpenAISubscription$200/mo9.982B$0.0200437.9×MediumEvidence ↓
ChatGPT PlusOpenAISubscription$20/mo0.477B$0.0419618.1×MediumEvidence ↓
ChatGPT Pro 5xOpenAISubscription$100/mo2.383B$0.0419718.1×MediumEvidence ↓

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$0.0200359/MTok
Data date
2026-06-10 – 2026-09-06 · derived; uses the data date of ChatGPT Pro 20x · gpt-5.6-sol
Real price / MTok
$0.0200359
Monthly tokens
9,982,100,000 (9.982B)
Quota confidence
Medium
Calculation
$200 / month ÷ 9,982,100,000 tokens × 1,000,000 ≈ $0.0200359 / 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): $0.5 / $5 / $30 · standard-load blended ≈ $0.76/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0 (AA): Low (3 configurations)
Code Arena | WebDev Overall: Low (3 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
DeepSWE v1.1: Low (4 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 gpt-5.6-sol 12.902B × 0.7736842105263158

https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (12.5, 125, 750); old multiplier 0.8, old monthly allowance 10.3216B voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json

ChatGPT PlusOpenAI$0.0419639/MTok
Data date
2026-07-30 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol
Real price / MTok
$0.0419639
Monthly tokens
476,600,000 (0.477B)
Quota confidence
Medium
Calculation
$20 / month ÷ 476,600,000 tokens × 1,000,000 ≈ $0.0419639 / 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): $0.5 / $5 / $30 · standard-load blended ≈ $0.76/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0 (AA): Low (3 configurations)
Code Arena | WebDev Overall: Low (3 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
DeepSWE v1.1: Low (4 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 gpt-5.6-sol 616M × 0.7736842105263158

https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (12.5, 125, 750); old multiplier 0.8, old monthly allowance 492.8M voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json

ChatGPT Pro 5xOpenAI$0.0419657/MTok
Data date
2026-07-30 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol
Real price / MTok
$0.0419657
Monthly tokens
2,382,900,000 (2.383B)
Quota confidence
Medium
Calculation
$100 / month ÷ 2,382,900,000 tokens × 1,000,000 ≈ $0.0419657 / 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): $0.5 / $5 / $30 · standard-load blended ≈ $0.76/MTok

Benchmark mapping
Artificial Analysis Intelligence Index v4.3: Medium (5 configurations)
Terminal-Bench 4.0 (AA): Low (3 configurations)
Code Arena | WebDev Overall: Low (3 configurations)
Agent Arena · Overall (Ranking / Pareto): Low (2 configurations)
DeepSWE v1.1: Low (4 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 gpt-5.6-sol 3.08B × 0.7736842105263158

https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (12.5, 125, 750); old multiplier 0.8, old monthly allowance 2.464B voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json

GPT 5.5 benchmark scores

Highest archived configuration per leaderboard; ranks are among all models each board archives in this dataset. Scores are never mixed across boards.

GPT 5.5 on independent leaderboards
LeaderboardMetricScoreRankConfigurationEffortHarnessConfigsSnapshot
Artificial Analysis Intelligence Index v4.3Intelligence Index38.36#27 / 60GPT-5.5 (xhigh)xhigh—52026-10-01
Terminal-Bench 4.0 (AA)Resolution Rate %14.65#24 / 53Artificial Analysis - GPT-5.5 (xhigh)xhighArtificial Analysis32026-10-01
Code Arena | WebDev OverallArena Score1,512#37 / 54gpt-5.5-xhigh (codex-harness)xhighCodex32026-09-30
Agent Arena · Overall (Ranking / Pareto)Net Improvement %4.12#12 / 39GPT 5.5 (xHigh)xhigh—22026-09-30
DeepSWE v1.1Pass@1 %67.04#15 / 33mini-swe-agent - gpt-5-5 (xhigh)xhighmini-swe-agent42026-09-03

Every archived configuration

Artificial Analysis Intelligence Index v4.3 5 configurations
Artificial Analysis Intelligence Index v4.3: every archived configuration (Intelligence Index)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
GPT-5.5 (xhigh)38.3556—— / xhigh / —— / —2026-10-01Source · Archive
GPT-5.5 (high)36.9794—— / High / —— / —2026-10-01Source · Archive
GPT-5.5 (medium)33.8044—— / Medium / —— / —2026-10-01Source · Archive
GPT-5.5 (low) [AA estimate]GPT-5.5 (low)Marked intelligenceIndexIsEstimated=true in AA embedded payload; retained as estimate, not treated as fully measured.30.7095 AA estimate—— / Low / —— / —2026-10-01Source · Archive
GPT-5.5 (non-reasoning) [AA estimate]GPT-5.5 (non-reasoning)Marked intelligenceIndexIsEstimated=true in AA embedded payload; retained as estimate, not treated as fully measured.23.1674 AA estimate—— / — / —— / —2026-10-01Source · Archive
Terminal-Bench 4.0 (AA) 3 configurations
Terminal-Bench 4.0 (AA): every archived configuration (Resolution Rate %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
Artificial Analysis - GPT-5.5 (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.14.6465—Artificial Analysis / xhigh / —— / —2026-10-01Source · Archive
Artificial Analysis - GPT-5.5 (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.9.0909—Artificial Analysis / High / —— / —2026-10-01Source · Archive
Artificial Analysis - GPT-5.5 (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.5.0505—Artificial Analysis / Medium / —— / —2026-10-01Source · Archive
Code Arena | WebDev Overall 3 configurations
Code Arena | WebDev Overall: every archived configuration (Arena Score)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
gpt-5.5-xhigh (codex-harness)1,5121,506.1 – 1,517.9Codex / xhigh / —— / —2026-10-01Source · Archive
gpt-5.5-high (codex-harness)1,4871,481.1 – 1,492.9Codex / High / —— / —2026-10-01Source · Archive
gpt-5.5 (codex-harness)1,4551,449.1 – 1,460.9Codex / — / —— / —2026-10-01Source · Archive
Agent Arena · Overall (Ranking / Pareto) 2 configurations
Agent Arena · Overall (Ranking / Pareto): every archived configuration (Net Improvement %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
GPT 5.5 (xHigh)4.123.07 – 5.17— / xhigh / —— / $1.222026-10-01Source · Archive
GPT 5.51.130.16 – 2.1— / — / —— / $0.612026-10-01Source · Archive
DeepSWE v1.1 4 configurations
DeepSWE v1.1: every archived configuration (Pass@1 %)
ConfigurationScoreScore intervalHarness / effort / modeSource task cost (mean / median)CheckedLinks
mini-swe-agent - gpt-5-5 (xhigh)67.035460.57 – 73.501mini-swe-agent / xhigh / —$7.226 / $6.112026-09-12Source · Archive
mini-swe-agent - gpt-5-5 (high)64.380561.264 – 67.497mini-swe-agent / High / —$5.1 / $4.5832026-09-12Source · Archive
mini-swe-agent - gpt-5-5 (medium)53.982351.429 – 56.535mini-swe-agent / Medium / —$2.749 / $2.4372026-09-12Source · Archive
mini-swe-agent - gpt-5-5 (low)26.991224.697 – 29.286mini-swe-agent / Low / —$1.2 / $1.1082026-09-12Source · 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.

GPT 5.5 official API pricing

List price per million tokens
Cached inputInputOutput
$0.5$5$30

Frequently asked questions

How much does GPT 5.5 really cost per million tokens?

Measured as monthly fee ÷ tokens you can actually use, GPT 5.5 ranges from $0.02004 (ChatGPT Pro 20x) to $0.04197 (ChatGPT Pro 5x) per million tokens.

Which subscription gives the most GPT 5.5 usage?

ChatGPT Pro 20x allows roughly 9.982B tokens of GPT 5.5 per month for $200.

What is the official API price of GPT 5.5?

Official API list price per million tokens: $0.5 cached input, $5 input, $30 output — about $0.76 per million tokens on a standard workload mix.

How does GPT 5.5 score on independent leaderboards?

GPT 5.5 has scores on 5 leaderboards; its strongest placement is 4.12 (Net Improvement %) on Agent Arena · Overall (Ranking / Pareto), #12 of 39 models tracked.

Who makes GPT 5.5, and where can I use it?

GPT 5.5 (model ID gpt-5.5) is made by OpenAI and is available through OpenAI.

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