GPT-6 Astra wins on coding (99 vs 89) and writing quality. Gemini 3.7 Flash wins on price ($0.75 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 Gemini 3.7 Flash 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 Gemini 3.7 Flash — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
Gemini 3.7 Flash handles the same job for about 93% less per token. Start here and only move up if the output is not good enough.
Gemini 3.7 Flash is the fastest of these for GPT-6 Astra vs Gemini 3.7 Flash — 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 89 for Gemini 3.7 Flash.
GPT-6 Astra has the larger context window: 1.05M vs 1.048576M for Gemini 3.7 Flash.
Gemini 3.7 Flash is cheaper at $0.75/1M input tokens vs $10/1M for GPT-6 Astra.
GPT-6 Astra is the safer default: it is built for computer and browser use, long-horizon agentic coding, and frontier math and science work, which covers most of what people bring to this comparison.
Choose Gemini 3.7 Flash when your work is mostly high-volume coding and long-context work at introductory Flash pricing — that is the workload it was tuned for.
Gemini 3.7 Flash is the more cost-efficient option at $0.75/1M input — GPT-6 Astra costs 13x 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 Gemini 3.7 Flash 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 Gemini 3.7 Flash 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.
80.8% SWE-bench Verified at introductory Flash pricing.
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 |
| Gemini 3.7 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1.0M tokens | Fast | 89 | 82 | 85 |
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 Gemini 3.7 Flash, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for GPT-6 Astra vs Gemini 3.7 Flash: 100/100 on coding, with the widest margin of anything in this line-up.
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.
The value option for GPT-6 Astra vs Gemini 3.7 Flash: about 93% less per token than GPT-6 Astra, at 89/100 on coding. Worth starting here and moving up only if the output disappoints.
Google's fastest-moving coding workhorse — 80.8% on SWE-bench Verified at half the price of Gemini 3.6 Flash, shipped just three weeks after it.
You are planning 2027 spend and need price certainty — the introductory rate expires December 31, 2026.
The best coding score per dollar in Google's lineup right now — 80.8% SWE-bench Verified at $0.75/1M input. Budget on the post-January 2027 price of $1.50/$7.50 if you are signing anything long-term.
Full pricing, benchmark table and release notes on the Gemini 3.7 Flash 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. Gemini 3.7 Flash is the better pick when your work is mostly high-volume coding and long-context work at introductory Flash pricing. Neither is universally "better": GPT-6 Astra is aimed at computer and browser use and long-horizon agentic coding, Gemini 3.7 Flash at high-volume coding and long-context work at introductory Flash pricing.
Gemini 3.7 Flash is cheaper at $0.75/1M input and $3.75/1M output. GPT-6 Astra costs $10/1M input and $50/1M output.
GPT-6 Astra has the larger context window at 1.05M tokens vs Gemini 3.7 Flash's 1.048576M. For large document analysis, GPT-6 Astra is the stronger pick.
GPT-6 Astra is better for coding with a score of 99 vs Gemini 3.7 Flash's 89 (out of 100). Claude Opus 5.5 is the overall coding leader in this directory at 100/100.
Gemini 3.7 Flash is faster with a fast speed rating (score: 4) 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 Gemini 3.7 Flash instead.
The $0.75/$3.75 launch price is introductory — it doubles to $1.50/$7.50 on January 1, 2027. Still short of Claude Opus 5 (96%) and GPT-5.6 Sol (96.2%) on SWE-bench Verified for the hardest coding work. Avoid it if you are planning 2027 spend and need price certainty — the introductory rate expires December 31, 2026. Against GPT-6 Astra specifically, the gap shows up most on coding (99 vs 89).
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); Gemini 3.7 Flash runs $15.00 (at $0.75/1M in and $3.75/1M out). That is a $185.00/month difference — Gemini 3.7 Flash 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 Gemini 3.7 Flash handling high-volume coding and long-context work at introductory Flash pricing. Routing high-volume, low-stakes calls to Gemini 3.7 Flash at $0.75/1M and reserving GPT-6 Astra for the hard cases is usually the cheapest arrangement that does not cost you quality.