GPT 5.6 Terra pricing: real cost per million tokens
What OpenAI's GPT 5.6 Terra really costs across 5 plans from 2 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 Terra is ChatGPT Pro 20x at a real cost of about $0.00801 per million tokens ($200/month for roughly 24.955B tokens a month). We track 5 plans and API channels that serve GPT 5.6 Terra. Official API list price per million tokens: $0.2 cached input, $2 input, $12 output — about $0.304 per million tokens on a standard workload mix.
- Lowest real price
- $0.00801/MTokChatGPT Pro 20x
- API list price
- $0.304/MTokstandard workload mix
- Most monthly tokens
- 24.955BChatGPT Pro 20x
- Plans & APIs
- 54 subscriptions · 1 metered API
Plot GPT 5.6 Terra on the price–capability chart →
GPT 5.6 Terra 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 | 24.955B | $0.00801 | 37.9× | Medium | Evidence ↓ | |
| ChatGPT Plus | OpenAI | Subscription | $20/mo | 1.192B | $0.01679 | 18.1× | Medium | Evidence ↓ | |
| ChatGPT Pro 5x | OpenAI | Subscription | $100/mo | 5.957B | $0.01679 | 18.1× | Medium | Evidence ↓ | |
| Droid Max | Factory | Subscription | $200/mo | 5.052B | $0.03959 | 7.7× | Medium | Evidence ↓ | |
| GPT-5.6 Terra API | OpenAI | Metered API | — | — | $0.304 | — | 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$0.00801436/MTok
- Plan
- ChatGPT Pro 20x · OpenAI
- Data date
- 2026-06-10 – 2026-09-06 · derived; uses the data date of ChatGPT Pro 20x · gpt-5.6-sol
- Real price / MTok
- $0.00801436
- Monthly tokens
- 24,955,200,000 (24.955B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 24,955,200,000 tokens × 1,000,000 ≈ $0.00801436 / 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): $0.2 / $2 / $12 · standard-load blended ≈ $0.304/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)
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 gpt-5.6-sol 12.902B × 1.9342105263157894
https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (5, 50, 300); old multiplier 2, old monthly allowance 25.804B voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json
https://learn.chatgpt.com/docs/pricingaudit-round4-2026-09-05.jsonBrowse the public evidence archive
ChatGPT PlusOpenAI$0.0167856/MTok
- Plan
- ChatGPT Plus · OpenAI
- Data date
- 2026-07-30 · derived; uses the data date of ChatGPT Plus · gpt-5.6-sol
- Real price / MTok
- $0.0167856
- Monthly tokens
- 1,191,500,000 (1.192B)
- Quota confidence
- Medium
- Calculation
- $20 / month ÷ 1,191,500,000 tokens × 1,000,000 ≈ $0.0167856 / 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): $0.2 / $2 / $12 · standard-load blended ≈ $0.304/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)
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 gpt-5.6-sol 616M × 1.9342105263157894
https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (5, 50, 300); old multiplier 2, old monthly allowance 1.232B voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json
https://learn.chatgpt.com/docs/pricingaudit-round4-2026-09-05.jsonBrowse the public evidence archive
ChatGPT Pro 5xOpenAI$0.0167858/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
- $0.0167858
- Monthly tokens
- 5,957,400,000 (5.957B)
- Quota confidence
- Medium
- Calculation
- $100 / month ÷ 5,957,400,000 tokens × 1,000,000 ≈ $0.0167858 / 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): $0.2 / $2 / $12 · standard-load blended ≈ $0.304/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)
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 gpt-5.6-sol 3.08B × 1.9342105263157894
https://learn.chatgpt.com/docs/pricing three-part credits (cache/input/output) Sol=10/100/500, vs (5, 50, 300); old multiplier 2, old monthly allowance 6.16B voided; the Sol baseline is kept, recomputed under the project standard workload; see audit-round4-2026-09-05.json
https://learn.chatgpt.com/docs/pricingaudit-round4-2026-09-05.jsonBrowse the public evidence archive
Droid MaxFactory$0.0395883/MTok
- Data date
- 2026-09-29 · derived; uses the data date of Droid Max · claude-opus-5.5
- Real price / MTok
- $0.0395883
- Monthly tokens
- 5,052,000,000 (5.052B)
- Quota confidence
- Medium
- Calculation
- $200 / month ÷ 5,052,000,000 tokens × 1,000,000 ≈ $0.0395883 / MTok
- Quota basis
Anthropic workload: 97% cache reads / 2.5% cache writes / 0.5% output
Official API list (cached / in / out, per MTok): $0.2 / $2 / $12 · standard-load blended ≈ $0.304/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)
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 × 2.0
Factory official multipliers Opus 5.5 1.6× / gpt-5.6-terra 0.8×: 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
GPT-5.6 Terra APIOpenAI$0.304/MTok
- Plan
- GPT-5.6 Terra API · OpenAI
- Data date
- 2026-09-05 · official source date
- Real price / MTok
- $0.304
- 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)
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 0.2/in 2.0/out 12.0 × project standard workload 97.0%/2.50%/0.50%
GPT 5.6 Terra 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 | 42.08 | #18 / 60 | GPT-5.6 Terra (max) | Max | — | 6 | 2026-10-01 |
| Terminal-Bench 4.0 | Resolution Rate % | 21.52 | #12 / 18 | Codex - GPT-5.6 Terra (max) | Max | Codex | 1 | 2026-09-21 |
| Terminal-Bench 4.0 (AA) | Resolution Rate % | 35.35 | #12 / 53 | Artificial Analysis - GPT-5.6 Terra (max) | Max | Artificial Analysis | 6 | 2026-10-01 |
| Code Arena | WebDev Overall | Arena Score | 1,519 | #34 / 54 | gpt-5.6-terra-xhigh (codex-harness) | xhigh | Codex | 1 | 2026-09-30 |
| Agent Arena · Overall (Ranking / Pareto) | Net Improvement % | 0.83 | #24 / 39 | GPT 5.6 Terra (xHigh) | xhigh | — | 1 | 2026-09-30 |
| DeepSWE v1.1 | Pass@1 % | 69.62 | #9 / 33 | mini-swe-agent - gpt-5-6-terra (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 Terra (max) | 42.0829 | — | — / Max / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Terra (xhigh) | 37.9513 | — | — / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Terra (high) | 34.2377 | — | — / High / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Terra (medium) | 30.0938 | — | — / Medium / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Terra (low) | 27.4962 | — | — / Low / — | — / — | 2026-10-01 | Source · Archive |
| GPT-5.6 Terra (non-reasoning) | 20.7797 | — | — / — / — | — / — | 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 Terra (max)Official Terminal-Bench 4.0 leaderboard row; score belongs to this harness × model × effort configuration. | 21.52 | 18.27 – 24.77 | 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 Terra (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. | 35.3535 | — | Artificial Analysis / Max / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Terra (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. | 10.101 | — | Artificial Analysis / xhigh / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Terra (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. | 1.5152 | — | Artificial Analysis / High / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Terra (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. | 1.5152 | — | Artificial Analysis / Low / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Terra (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. | 1.0101 | — | Artificial Analysis / Medium / — | — / — | 2026-10-01 | Source · Archive |
| Artificial Analysis - GPT-5.6 Terra (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. | 0.5051 | — | Artificial Analysis / — / — | — / — | 2026-10-01 | Source · Archive |
Code Arena | WebDev Overall 1 configuration
Agent Arena · Overall (Ranking / Pareto) 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-terra (max) | 69.6231 | 67.066 – 72.18 | mini-swe-agent / Max / — | $4.946 / $4.115 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-terra (xhigh) | 60.177 | 58.053 – 62.301 | mini-swe-agent / xhigh / — | $2.127 / $1.867 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-terra (high) | 53.7611 | 49.432 – 58.09 | mini-swe-agent / High / — | $1.134 / $1.032 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-terra (medium) | 35.1111 | 31.729 – 38.493 | mini-swe-agent / Medium / — | $0.5833 / $0.5461 | 2026-09-12 | Source · Archive |
| mini-swe-agent - gpt-5-6-terra (low) | 24.0535 | 23.277 – 24.83 | mini-swe-agent / Low / — | $0.4278 / $0.399 | 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 Terra official API pricing
| Cached input | Input | Output |
|---|---|---|
| $0.2 | $2 | $12 |
Frequently asked questions
How much does GPT 5.6 Terra really cost per million tokens?
Measured as monthly fee ÷ tokens you can actually use, GPT 5.6 Terra ranges from $0.00801 (ChatGPT Pro 20x) to $0.304 (GPT-5.6 Terra API) per million tokens.
Which subscription gives the most GPT 5.6 Terra usage?
ChatGPT Pro 20x allows roughly 24.955B tokens of GPT 5.6 Terra per month for $200.
What is the official API price of GPT 5.6 Terra?
Official API list price per million tokens: $0.2 cached input, $2 input, $12 output — about $0.304 per million tokens on a standard workload mix.
How does GPT 5.6 Terra score on independent leaderboards?
GPT 5.6 Terra has scores on 6 leaderboards; its strongest placement is 35.35 (Resolution Rate %) on Terminal-Bench 4.0 (AA), #12 of 53 models tracked.
Who makes GPT 5.6 Terra, and where can I use it?
GPT 5.6 Terra (model ID gpt-5.6-terra) is made by OpenAI and is available through 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 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 |