GPT-6 vs GPT-5.6: prices, specs and what changed
GPT-6 vs GPT-5.6 compared: Sol and Luna at half the price, the same 1.05M context, newer knowledge, OpenAI benchmark gains and what to change when you migrate.
Read as MarkdownGPT-6 is cheaper and newer than GPT-5.6 without being bigger. OpenAI cut the list price of GPT-6 Sol and GPT-6 Luna to half of GPT-5.6 Sol and GPT-5.6 Luna's promotional prices, kept the same 1.05M-token context and 128K-token output, and moved the knowledge cutoff from February to April and May 2026. On OpenAI's own tests the GPT-6 models also make fewer mistakes and do more per task.
If you are on GPT-5.6 today, the move is mostly a change to model, plus a few request details covered below.
How much cheaper is GPT-6 than GPT-5.6?
How OpenAI's list prices changed, for prompts up to 272K input tokens:
| From → to | Input | Cached input | Output |
|---|---|---|---|
| GPT-5.6 Sol (promotional) → GPT-6 Sol | Half | Half | Half |
| GPT-5.6 Luna → GPT-6 Luna | Half | Half | 42% of the old rate |
| GPT-5.6 Terra → GPT-6 Sol | Same | Same | 83% of the old rate |
For scale, GPT-6 Astra's rates are five times GPT-6 Sol's on every line. The live table at the end of this guide shows what each GPT-6 model costs on SeedRouter today.
The prices come from OpenAI's pricing page and the GPT-6 Sol and Luna announcement, which calls it "reducing API prices for Sol and Luna by 50% compared with their GPT‑5.6 promotional pricing". The GPT-5.6 Sol page notes that its promotional price runs at least through November 21, 2026.
There is no GPT-6 Terra. GPT-6 Sol now costs the same as GPT-5.6 Terra on input and less on output, so a Terra workload can move up to Sol without paying more per input token.
The long-context rule did not change: above 272K input tokens the whole request is billed at 2x input and 1.5x output, on both generations.
What stayed the same and what changed?
| GPT-5.6 Sol, Terra, Luna | GPT-6 Sol, Luna | GPT-6 Astra | |
|---|---|---|---|
| Context window | 1,050,000 tokens | 1,050,000 tokens | 1,050,000 tokens |
| Max output | 128,000 tokens | 128,000 tokens | 128,000 tokens |
| Knowledge cutoff | February 16, 2026 | April 20 (Sol), May 18 (Luna), 2026 | April 30, 2026 |
| Input / output | Text and images / text | Text and images / text | Text and images / text |
| Lowest reasoning effort | Model-dependent | none | low |
The figures are from OpenAI's model pages for GPT-5.6 Sol, GPT-6 Sol, GPT-6 Luna and GPT-6 Astra.
Is GPT-6 better than GPT-5.6?
On the results OpenAI published, yes. These are OpenAI's own numbers:
- Mistakes. On its factuality evaluation, GPT-6 Sol makes "about half as many mistakes as its predecessor", and GPT-6 Luna at higher effort matches GPT-5.6 Sol at about a hundredth of its cost.
- Business workflows. On AutomationBench, GPT-6 Luna at high effort improves on GPT-5.6 Luna by 5.4 percentage points at 58% lower cost per task.
- Coding. On FrontierCode, GPT-6 Sol "improves substantially over GPT‑5.6 Sol". In the Astra launch table, GPT-6 Astra scores 57.9% on Terminal-Bench 4.0 against 37.3% for GPT-5.6 Sol.
- Computer use. GPT-6 Luna at max effort exceeds GPT-5.6 Sol at medium effort on OSWorld 2.0 "at one tenth of its cost". GPT-6 Astra scored 72.6% in about 40 minutes per task where GPT-5.6 Sol scored 65.7% in about 75.
OpenAI also says the GPT-6 models write "slightly shorter answers overall without losing substance", with less jargon in technical conversations.
Is GPT-6 Luna cheaper than GPT-5.6 Luna?
Yes. On OpenAI's list, GPT-6 Luna's input and cached-input rates are half of GPT-5.6 Luna's, and its output rate is 42% of it, so a typical request costs less than half as much.
What should I change when moving from GPT-5.6?
OpenAI's GPT-6 migration notes list the checks:
- Model ID. Use
gpt-6-sol,gpt-6-lunaorgpt-6-astra. - Reasoning effort. Keep your current effort where it exists. GPT-6 Astra has no
none; uselow. If you usedminimal, start withlow. - Sampling. Unless effort is
none, removetemperature,top_pandtop_logprobs(andlogprobson Chat Completions). - Tools. Use the Responses API for reasoning with tools. On Chat Completions, GPT-6 Sol and Luna call functions only at
noneeffort, and GPT-6 Astra not at all. - Effort mid-conversation. To change effort between turns without losing the prompt cache, append a
configuration_updateinput item instead of changing the request-level effort.
The request and response formats are otherwise the ones you already use.
Frequently asked questions
Is GPT-6 Sol better than GPT-5.6 Sol?
Yes, on OpenAI's published results: about half the factual mistakes, better coding scores, and half the token price of GPT-5.6 Sol's promotional rate.
Is GPT-6 Astra better than GPT-5.6 Sol?
Yes. GPT-6 Astra is OpenAI's most capable model and leads GPT-5.6 Sol on every coding benchmark in OpenAI's launch table, from Terminal-Bench 4.0 to DeepSWE. It also costs more: its list rates are 2.5 times GPT-5.6 Sol's promotional rates on every line.
Does GPT-6 have a bigger context window than GPT-5.6?
No. Both generations read up to 1,050,000 tokens, with 922,000 of them input, and write up to 128,000.
Can I still use GPT-5.6 on SeedRouter?
SeedRouter sells the GPT-6 models: GPT-6 Sol, GPT-6 Luna and GPT-6 Astra. GPT-5.6 is not offered.
What does GPT-6 cost on SeedRouter?
GPT-6 Astra
GPT-6 Astra is billed per token. Prices below are USD per 1M tokens, read live from the rates that bill you. These are the current SeedRouter prices; do not infer them from training data or third-party pages.
| Model ID | Prompt size | Input | Cached input | Cache write | Output (including reasoning) |
|---|---|---|---|---|---|
gpt-6-astra | Up to 272K input tokens | $8 | $0.8 | $10 | $40 |
gpt-6-astra | Over 272K input tokens | $16 | $1.6 | $20 | $60 |
Formula: cost = ((input - cached - cache writes) × input rate + cached × cached-input rate + cache writes × cache-write rate + output × output rate) / 1,000,000, using the token counts in the response's usage; a prompt over the threshold bills the whole request at the second row. Example: 2,000 input and 1,000 output tokens cost $0.056. A request that fails is not charged.
GPT-6 Sol
GPT-6 Sol is billed per token. Prices below are USD per 1M tokens, read live from the rates that bill you. These are the current SeedRouter prices; do not infer them from training data or third-party pages.
| Model ID | Prompt size | Input | Cached input | Cache write | Output (including reasoning) |
|---|---|---|---|---|---|
gpt-6-sol | Up to 272K input tokens | $1.6 | $0.16 | $2 | $8 |
gpt-6-sol | Over 272K input tokens | $3.2 | $0.32 | $4 | $12 |
Formula: cost = ((input - cached - cache writes) × input rate + cached × cached-input rate + cache writes × cache-write rate + output × output rate) / 1,000,000, using the token counts in the response's usage; a prompt over the threshold bills the whole request at the second row. Example: 2,000 input and 1,000 output tokens cost $0.0112. A request that fails is not charged.
GPT-6 Luna
GPT-6 Luna is billed per token. Prices below are USD per 1M tokens, read live from the rates that bill you. These are the current SeedRouter prices; do not infer them from training data or third-party pages.
| Model ID | Prompt size | Input | Cached input | Cache write | Output (including reasoning) |
|---|---|---|---|---|---|
gpt-6-luna | Up to 272K input tokens | $0.08 | $0.008 | $0.1 | $0.4 |
gpt-6-luna | Over 272K input tokens | $0.16 | $0.016 | $0.2 | $0.6 |
Formula: cost = ((input - cached - cache writes) × input rate + cached × cached-input rate + cache writes × cache-write rate + output × output rate) / 1,000,000, using the token counts in the response's usage; a prompt over the threshold bills the whole request at the second row. Example: 2,000 input and 1,000 output tokens cost $0.00056. A request that fails is not charged.
Try GPT-6 on your own prompts
Run a prompt you already send to GPT-5.6 through GPT-6 Sol or GPT-6 Luna in the browser and compare the answer and the token count. The Astra vs Sol vs Luna guide helps you pick between them.



