GPT-6.1 Sol is the best AI for working on startup ideas because the valuable part is filtering, not generating. Any model can list a hundred ideas; GPT-6.1 Sol is better at stress-testing one — who the customer is, why now, what the cheapest test looks like, and where the logic is weakest. Ask it to argue against your idea before it argues for it. For turning a chosen idea into a pitch or positioning, Claude Sonnet 5.5 writes better.
The safest startup ideas default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
GPT-6.1 Sol is the strongest answer here for startup ideas — pick it when quality of output matters more than the $2.00/1M/1M input you pay for it.
Gemini 3.8 Flash handles the same job for about 63% less per token. Start here and only move up if the output is not good enough.
Claude Sonnet 5.5 is the fastest of these for startup ideas — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-6.1 Sol is the best startup-ideas model because it is better at judgment than hype.
Gemini 3.8 Flash is useful when you want many cheap brainstorming rounds.
Claude Sonnet 5.5 helps when idea work turns into positioning and messaging.
Use GPT-6.1 Sol to test assumptions, size markets roughly and find weak logic.
Use Gemini 3.8 Flash for fast, cheap ideation passes.
Use Claude Sonnet 5.5 when the idea needs a narrative, a landing page or a pitch.
Switch the scoring lens to see whether the startup ideas answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Balanced / Oct 10, 2026
Near-Opus 5.5 quality on scoped work at half the price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
The work is long, ambiguous and multi-step — Anthropic positions Opus 5.5 for exactly that — or you need the lowest possible price, where Haiku 5.5 costs a twentieth as much.
Where the startup ideas recommendation shifts once you weigh price or latency differently.
Near-Astra capability at Sol pricing — OpenAI's value pick.
Google's fast agentic workhorse — strong coding at Flash pricing.
Near-Opus 5.5 quality on scoped work at half the price.
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-6.1 SolOpenAI | $2.00/1M | $10.00/1M | $40 | 1.1M tokens | Balanced | 98 | 94 | 97 |
| Gemini 3.8 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1M tokens | Very fast | 92 | 86 | 89 |
| Claude Sonnet 5.5Anthropic | $2.00/1M | $10.00/1M | $40 | 1M tokens | Fast | 98 | 98 | 95 |
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 startup ideas, what it is genuinely good at, and where we would steer you away from it.
Our pick for startup ideas. It scores 98/100 on the coding axis we weight this page by, and nothing else in this shortlist matches it on output quality.
OpenAI's September 29, 2026 DevDay release — a Sol-tier reasoning model that OpenAI says comes close to GPT-6 Astra on agentic coding, computer use and professional work at one fifth of Astra's price.
You need it inside ordinary ChatGPT chats today, or your prompts regularly pass 272K tokens where the rate doubles.
OpenAI's best value for serious work. GPT-6.1 Sol replaces both GPT-6 Sol and, for most teams, GPT-6 Astra: independent testing has it a point behind Astra at a fifth of the list price. Pick Astra only when the last point of capability is worth five times the bill.
Full pricing, benchmark table and release notes on the GPT-6.1 Sol page.
Where most budgets should land for startup ideas — about 63% less per token than GPT-6.1 Sol, and still 92/100 on the coding axis.
Google's September 2, 2026 Flash model, positioned as the agentic workhorse of the Gemini 3 family — stronger coding and terminal work than 3.7 Flash at the same $0.75/$3.75 price.
You need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving.
The fastest capable model in its price range. Gemini 3.8 Flash is the pick for multimodal and terminal-heavy agent work on a budget; just measure cost per task, not per token, because it writes a lot.
Full pricing, benchmark table and release notes on the Gemini 3.8 Flash page.
Here for latency: it answers fastest of anything listed for startup ideas, at 98/100 on coding.
Near-Opus 5.5 quality on scoped work at half the price. Full Claude Sonnet 5.5 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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For startup ideas, GPT-6.1 Sol (OpenAI) is our pick. Near-Astra capability at Sol pricing — OpenAI's value pick. It costs $2/1M input and $10/1M output tokens, with a 1.05M-token context window — enough headroom for all but the largest startup ideas jobs. Gemini 3.8 Flash is the closest alternative if it doesn't fit your setup.
Because the work it is built for overlaps closely with startup ideas: coding agents in Codex that need near-Astra quality at Sol pricing and computer-use and browser automation run at volume. OpenAI's best value for serious work. GPT-6.1 Sol replaces both GPT-6 Sol and, for most teams, GPT-6 Astra: independent testing has it a point behind Astra at a fifth of the list price. Pick Astra only when the last point of capability is worth five times the bill.
On a moderate month — 10M input and 2M output tokens — GPT-6.1 Sol runs about $40.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. Gemini 3.8 Flash is the cheaper route at roughly $15.00 for the same volume, if startup ideas is high-volume enough for price to lead the decision.
Prompts above 272K input tokens are billed at $4/$15. At launch it was available in ChatGPT Work and Codex, not in regular ChatGPT conversations. Avoid it if you need it inside ordinary ChatGPT chats today, or your prompts regularly pass 272K tokens where the rate doubles. None of that rules it out for startup ideas on its own — but if one of those limits maps onto how you actually work, take the alternative on this page seriously rather than defaulting to the top pick.
Gemini 3.8 Flash at $0.75/1M input is the budget option here. Google's fast agentic workhorse — strong coding at Flash pricing. Expect a quality step down on the hardest cases — the usual pattern is to route routine startup ideas volume to Gemini 3.8 Flash and keep GPT-6.1 Sol for the work where a wrong answer is expensive.
Gemini 3.8 Flash, rated very fast against GPT-6.1 Sol's balanced. Speed matters most for interactive and high-volume work; if your startup ideas runs in the background, the slower and more capable model is usually the better trade.