Gemini 3.8 Flash is the best AI API for most startups. You can ship a product feature on it at $0.75/$3.75 per million tokens without the bill dominating your burn, it is fast enough for user-facing latency, and it accepts text, images, PDFs and video through one endpoint. For premium product surfaces where wrong answers are costly, add Claude Sonnet 5.5 or GPT-6.1 Sol; for back-office volume, Claude Haiku 5.5 or GPT-6 Luna at $0.10.
The safest startups default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Gemini 3.8 Flash is the strongest answer here for startups — pick it when quality of output matters more than the $0.75/1M/1M input you pay for it.
Claude Haiku 5.5 handles the same job for about 87% 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 startups — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Gemini 3.8 Flash is the best default product API for a startup.
Claude Haiku 5.5 or GPT-6 Luna handle back-office volume at $0.10 per million input tokens.
A $2/$10 model only makes sense as the default when output quality clearly justifies it.
Use Gemini 3.8 Flash to keep iteration cheap while you validate demand.
Use Claude Sonnet 5.5 or GPT-6.1 Sol for premium flows where a wrong answer loses a customer.
Use Claude Haiku 5.5 for internal tools, tagging and summaries.
Switch the scoring lens to see whether the startups 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 startups recommendation shifts once you weigh price or latency differently.
Google's fast agentic workhorse — strong coding at Flash pricing.
Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50.
Near-Opus 5.5 quality on scoped work at half the price.
Near-Astra capability at Sol pricing — OpenAI's value pick.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Gemini 3.8 FlashGoogle | $0.75/1M | $3.75/1M | $15 | 1M tokens | Very fast | 92 | 86 | 89 |
| Claude Haiku 5.5Anthropic | $0.10/1M | $0.50/1M | $2.00 | 1M tokens | Very fast | 86 | 84 | 82 |
| Claude Sonnet 5.5Anthropic | $2.00/1M | $10.00/1M | $40 | 1M tokens | Fast | 98 | 98 | 95 |
| GPT-6.1 SolOpenAI | $2.00/1M | $10.00/1M | $40 | 1.1M tokens | Balanced | 98 | 94 | 97 |
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 startups, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for startups: 92/100 on coding, with the widest margin of anything in this line-up.
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.
Where most budgets should land for startups — about 87% less per token than Gemini 3.8 Flash, and still 86/100 on the coding axis.
Anthropic's October 7, 2026 low-cost model and the first Haiku with adjustable reasoning effort — thinking can be switched off for simple requests or raised to max, at $0.10/$0.50 per 1M under 100K input tokens.
Your prompts routinely exceed 100K tokens, where the price quintuples, or the task needs sustained reasoning that Sonnet 5.5 handles far better.
The cheapest way to put an Anthropic model in a high-volume pipeline. Keep requests under 100K tokens to stay on the low rate, and set effort per task — at low effort it is a fast classifier, at max it handles real tool-use work.
Full pricing, benchmark table and release notes on the Claude Haiku 5.5 page.
The fastest model in this shortlist for startups. Pick it when turnaround is what your readers or users notice.
Near-Opus 5.5 quality on scoped work at half the price. Full Claude Sonnet 5.5 review →
Rounds out the shortlist for startups at 98/100 on coding.
Near-Astra capability at Sol pricing — OpenAI's value pick. Full GPT-6.1 Sol review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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For startups, Gemini 3.8 Flash (Google) is our pick. Google's fast agentic workhorse — strong coding at Flash pricing. It costs $0.75/1M input and $3.75/1M output tokens, with a 1M-token context window — enough headroom for all but the largest startups jobs. Claude Haiku 5.5 is the closest alternative if it doesn't fit your setup.
Because the work it is built for overlaps closely with startups: terminal and coding agents — Google reports 90.8% on Terminal-Bench 2.1, up from 81.6% for 3.7 Flash and video, image and PDF understanding in one 1M-context call. 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.
On a moderate month — 10M input and 2M output tokens — Gemini 3.8 Flash runs about $15.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. Claude Haiku 5.5 is the cheaper route at roughly $2.00 for the same volume, if startups is high-volume enough for price to lead the decision.
Verbose: Artificial Analysis needed 120M output tokens to run its index against a 71M median, so cost per task runs above the sticker price. 65K max output — half of what Claude and OpenAI's current models allow. Avoid it if you need long single responses (65K output cap) or your workload is output-heavy enough that its verbosity erases the per-token saving. None of that rules it out for startups 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.
Claude Haiku 5.5 at $0.1/1M input is the budget option here. Anthropic's budget model, now with adjustable reasoning, at $0.10/$0.50. Expect a quality step down on the hardest cases — the usual pattern is to route routine startups volume to Claude Haiku 5.5 and keep Gemini 3.8 Flash for the work where a wrong answer is expensive.