GPT-6 Astra wins on coding (99 vs 94). GPT-5.6 Terra wins on price ($2 vs $10/1M input). For most workflows, GPT-6 Astra is the stronger default — openai's frontier answer to fable 5.1 — computer-use and agentic-coding leader at $10/$50.
The safest GPT-6 Astra vs GPT-5.6 Terra default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-6 Astra is the strongest answer here for GPT-6 Astra vs GPT-5.6 Terra — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
GPT-5.6 Terra handles the same job for about 77% less per token. Start here and only move up if the output is not good enough.
GPT-5.6 Terra is the fastest of these for GPT-6 Astra vs GPT-5.6 Terra — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-6 Astra leads on coding with a score of 99 vs 94 for GPT-5.6 Terra.
GPT-5.6 Terra is cheaper at $2/1M input tokens vs $10/1M for GPT-6 Astra.
GPT-6 Astra is the stronger default for coding tasks.
Choose GPT-6 Astra for computer and browser use, long-horizon agentic coding, and frontier math and science work. Its coding and research scores are what carry the recommendation here.
Choose GPT-5.6 Terra when your work is mostly high-volume production and enterprise workloads — that is the workload it was tuned for.
GPT-5.6 Terra is the more cost-efficient option at $2/1M input — GPT-6 Astra costs 5x more per input token, so the gap is worth taking seriously wherever token volume rather than peak quality drives the bill.
Switch the scoring lens to see whether the GPT-6 Astra vs GPT-5.6 Terra answer changes when cost, speed, or long-document depth leads the decision.
OpenAI / Premium / Sep 4, 2026
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You are cost-sensitive or latency-bound — GPT-5.6 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.
Where the GPT-6 Astra vs GPT-5.6 Terra recommendation shifts once you weigh price or latency differently.
OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50.
Best OpenAI value — near-flagship capability at 60% off.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| GPT-6 AstraOpenAI | $10.00/1M | $50.00/1M | $200 | 1.1M tokens | Deliberate | 100 | 97 | 100 |
| GPT-5.6 TerraOpenAI | $2.00/1M | $12.00/1M | $44 | 1.1M tokens | Balanced | 94 | 92 | 93 |
Scores out of 100 — how we evaluate models. “Est. month” is 10M in / 2M out at list price: a ceiling, no discounts.
Why each one is on the shortlist for GPT-6 Astra vs GPT-5.6 Terra, what it is genuinely good at, and where we would steer you away from it.
Our pick for GPT-6 Astra vs GPT-5.6 Terra. It scores 100/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
OpenAI's September 3, 2026 frontier release — the first GPT-6 model and OpenAI's answer to Claude Fable 5.1 two days earlier. State of the art on computer use (OSWorld 2.0 72.6% in ~47% less time than GPT-5.6 Sol), agentic coding (Terminal-Bench 4.0 57.9%), and frontier math (FrontierMath Tier 4 97.6%). $10/$50 per 1M tokens, 1.05M context, 128K output, knowledge cutoff April 30, 2026.
You are cost-sensitive or latency-bound — GPT-5.6 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak.
The new computer-use and agentic-coding ceiling, and OpenAI's first model priced like a Mythos-class Claude. Astra beats Claude Fable 5.1 on Terminal-Bench 4.0 (57.9% vs 55.8%), Terminal-Bench Science (64.6% vs 52.6%) and FrontierMath Tier 4 (97.6% vs 87.8%), and it is the only model with a credible OSWorld 2.0 result above 70%. It loses to Fable 5.1 on Humanity's Last Exam and on Artificial Analysis's index, costs five times GPT-5.6 Sol, and ships without a SWE-bench number. If your work is computer use, browser agents or math, it is the pick; for everyday coding at scale, Sol at $2/$10 remains the value default.
Full pricing, benchmark table and release notes on the GPT-6 Astra page.
Where most budgets should land for GPT-6 Astra vs GPT-5.6 Terra — about 77% less per token than GPT-6 Astra, and still 94/100 on the coding axis.
The balanced mid-tier of the GPT-5.6 family — GPT-5.5-class capability at a fraction of the price, built for production workloads at scale.
You need Sol-level computer use or Opus 5-level repo engineering.
The sensible OpenAI default for production. Terra delivers ~97% of Sol's benchmark line at 40% of the output price, making GPT-5.5's rate card look obsolete. Pick Sol only for computer-use agents and the hardest reasoning.
Full pricing, benchmark table and release notes on the GPT-5.6 Terra page.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-6 Astra wins on more of the categories we score — coding, research, long context — so it is the better default of the two. GPT-5.6 Terra is the better pick when your work is mostly high-volume production and enterprise workloads. Neither is universally "better": GPT-6 Astra is aimed at computer and browser use and long-horizon agentic coding, GPT-5.6 Terra at high-volume production and enterprise workloads.
GPT-5.6 Terra is cheaper at $2/1M input and $12/1M output. GPT-6 Astra costs $10/1M input and $50/1M output.
Both GPT-6 Astra and GPT-5.6 Terra have the same 1.05M context window.
GPT-6 Astra is better for coding with a score of 99 vs GPT-5.6 Terra's 94 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
GPT-5.6 Terra is faster with a balanced speed rating (score: 3) vs GPT-6 Astra's deliberate rating (score: 2). Speed matters most for interactive and high-throughput work; for batch jobs the GPT-6 Astra latency penalty is usually invisible.
$10/$50 per 1M — two and a half times GPT-5.6 Sol's $4/$20 promotional rate, five times GPT-6.1 Sol's $2/$10, and the same premium as Claude Fable 5.1; Fast mode doubles it again. Trails Claude Fable 5.1 on Humanity's Last Exam with tools (57.2% vs 65.0%) and on the Artificial Analysis Intelligence Index (61.2 vs 65.7). OpenAI published no SWE-bench Verified or SWE-bench Pro figure at launch, so it does not appear on our SWE-bench leaderboard. Avoid it if you are cost-sensitive or latency-bound — GPT-6.1 Sol is a fifth of the price — or you need it today in an Enterprise workspace, where it is off by default, or for offensive-security work, which it refuses outside OpenAI Daybreak. That is the main case for looking at GPT-5.6 Terra instead.
Big gap to Sol on computer use (OSWorld 50.2% vs 62.6%) — not a drop-in Sol replacement for agents. Well behind Claude Opus 5 on repository-level coding (SWE-bench Pro ~63% vs 79.2%). Avoid it if you need Sol-level computer use or Opus 5-level repo engineering. Against GPT-6 Astra specifically, the gap shows up most on coding (99 vs 94).
Take a moderate workload of 10M input and 2M output tokens a month. GPT-6 Astra runs $200.00 (at $10/1M in and $50/1M out); GPT-5.6 Terra runs $44.00 (at $2/1M in and $12/1M out). That is a $156.00/month difference — GPT-5.6 Terra is the cheaper of the two at this volume, and the gap scales linearly as you send more. Output tokens dominate the bill on both, so prompt length matters far less than response length.
Yes, and for most teams that beats picking one. A common split is GPT-6 Astra for computer and browser use and long-horizon agentic coding, with GPT-5.6 Terra handling high-volume production and enterprise workloads. Routing high-volume, low-stakes calls to GPT-5.6 Terra at $2/1M and reserving GPT-6 Astra for the hard cases is usually the cheapest arrangement that does not cost you quality.