GPT-5.6 (Sol, Terra & Luna) Pricing 2026
Complete pricing guide with plans, hidden costs, and cost analysis
GPT-5.6 (Sol, Terra & Luna) uses usage-based pricing from $0.020–$30.00 per million tokens; there is no monthly subscription price for this API tier.
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Is GPT-5.6 (Sol, Terra & Luna) a fit?
Derived from this product's own pricing and contract record — not a review.
Best for
- High-volume, cost-sensitive workloads needing GPT-5.6-generation quality
- Balanced cost and performance for production workloads
- Highest-capability tasks requiring frontier reasoning
Not a fit if
- You need to budget without talking to sales — every plan here is quote-only.
- Your budget cannot absorb renewal increases — 5% to 8%.
- The sticker price is your whole budget — Conversation History Reprocessing (and 1 more).
GPT-5.6 (Sol, Terra & Luna) Usage Pricing
| Model | Input | Output | Cached | Per |
|---|---|---|---|---|
| gpt-5.6-luna | $0.200 | $1.20 | $0.020 | 1M tokens |
| gpt-5.6-luna (long context) | $0.400 | $1.80 | — | 1M tokens |
- OpenAI reduced GPT-5.6 API pricing on July 30, 2026; rates here reflect the post-reduction schedule
- Cache writes billed at 1.25x the model's uncached input rate
- Batch API offers 50% off standard rates for async workloads
| Model | Input | Output | Cached | Per |
|---|---|---|---|---|
| gpt-5.6-terra | $2.00 | $12.00 | $0.200 | 1M tokens |
| gpt-5.6-terra (long context) | $4.00 | $18.00 | — | 1M tokens |
- OpenAI reduced GPT-5.6 API pricing on July 30, 2026; rates here reflect the post-reduction schedule
- Cache writes billed at 1.25x the model's uncached input rate
- Batch API offers 50% off standard rates for async workloads
| Model | Input | Output | Cached | Per |
|---|---|---|---|---|
| gpt-5.6-sol | $4.00 | $20.00 | $0.400 | 1M tokens |
| gpt-5.6-sol (long context) | $8.00 | $30.00 | — | 1M tokens |
- OpenAI reduced GPT-5.6 API pricing on July 30, 2026; rates here reflect the post-reduction schedule
- Cache writes billed at 1.25x the model's uncached input rate
- Batch API offers 50% off standard rates for async workloads
- ChatGPT Plus, Pro, Business, and Enterprise users access Sol, Terra, and Luna with selectable effort levels
- Sol promotional pricing is available at least through November 21, 2026
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GPT-5.6 (Sol, Terra & Luna) uses usage-based pricing from $0.200 to $30.00 per million tokens as of September 2026. Usage cost depends on the selected model and generation volume.
- 12 documented hidden costs beyond list price
- Contracts auto-renew — 30-day
How much does GPT-5.6 (Sol, Terra & Luna) cost?
GPT-5.6 (Sol, Terra & Luna) Pricing Overview
GPT-5.6 (Sol, Terra & Luna) uses usage-based pricing from $0.020–$30.00 per million tokens across 15 published rates.
GPT-5.6 (Sol, Terra & Luna) contracts auto-renew, requiring 30-day notice to cancel, and annual price increases of 5% to 8%.
There are at least 12 documented hidden costs beyond GPT-5.6 (Sol, Terra & Luna)'s list price, including implementation, training, and add-on fees.
This pricing was last verified in August 23, 2026 from 3 independent sources.
GPT-5.6 costs from $0.20 per million input tokens (Luna) to $30.00 per million output tokens (Sol long context), following OpenAI's July 30, 2026 price reduction. OpenAI's GPT-5.6 family launched July 9, 2026 with three models, repriced downward on July 30: Sol (flagship, $4/$20 per M tokens at short context), Terra (balanced, $2/$12), and Luna (economy, $0.20/$1.20). Long-context requests bill at double those rates. Cached input tokens cost 90% less than standard input across all three, and the Batch API cuts rates in half for asynchronous workloads. ChatGPT Plus, Pro, Business, and Enterprise users can select among all three models with adjustable effort levels; Pro and Enterprise users also get access to Sol Pro.
How GPT-5.6 (Sol, Terra & Luna) Pricing Compares
Compare GPT-5.6 (Sol, Terra & Luna) pricing against top alternatives in LLM API Providers.
Compare GPT-5.6 (Sol, Terra & Luna) vs Alternatives
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What Buyers Report Paying for GPT-5.6 (Sol, Terra & Luna)
GPT-5.6 (Sol, Terra & Luna) is reported at around $20 per user per month, based on 4 public sources. This is an estimate, not an official quote. Pricing is driven by per-user monthly subscriptions for ChatGPT access or usage-based API token consumption.
What Companies Actually Pay for GPT-5.6 (Sol, Terra & Luna)
How GPT-5.6 (Sol, Terra & Luna) Pricing Compares
| Software | Starting Price | Top Price |
|---|---|---|
| GPT-5.6 (Sol, Terra & Luna) | $0.200 | $30.00 per million tokens |
| Amazon Bedrock | $0.07 per million tokens | $75 per million tokens |
| Anyscale | Free | $4.9591 per million tokens |
| Baidu ERNIE API | $0.1 per million tokens | $10 per million tokens |
| Cerebras Inference API | $0.1 per million tokens | $6 per million tokens |
| Cohere API | Free | $15 per million tokens |
GPT-5.6 (Sol, Terra & Luna) Contract Terms
GPT-5.6 (Sol, Terra & Luna) contracts auto-renew. Changes require 30-day. These terms are sourced from verified buyer experiences.
GPT-5.6 (Sol, Terra & Luna) Pricing FAQ
01 How much does GPT-5.6 cost per million tokens?
GPT-5.6 spans three models: Luna at $0.20 input / $1.20 output, Terra at $2.00 input / $12.00 output, and Sol at $4.00 input / $20.00 output, all per million tokens at short context. Long-context requests cost double those rates. Cached input tokens cost 90% less than standard input, and the Batch API is 50% off standard rates. OpenAI reduced GPT-5.6 API pricing on July 30, 2026.
02 When did GPT-5.6 launch?
GPT-5.6 reached general availability on July 9, 2026, with pricing unchanged from its June 25, 2026 preview.
03 Who can access GPT-5.6 Sol?
ChatGPT Plus, Pro, Business, and Enterprise users can access GPT-5.6 Sol, Terra, and Luna with selectable effort levels. Pro and Enterprise users additionally get GPT-5.6 Sol Pro for the highest-quality results on complex tasks.
04 Does GPT-5.6 offer a Batch API discount?
Yes — OpenAI's Batch API processes GPT-5.6 requests asynchronously at 50% off standard per-token rates across all three models (Sol, Terra, Luna).
Is this pricing incorrect? — we'll verify and update it.