For strategy, pay for the strongest reasoner: GPT-6 Astra. Strategic questions are few, high-stakes and cheap in tokens, so the $10/$50 price barely registers while a better answer can matter a great deal. Astra leads OpenAI's own tables on frontier maths and reasoning-heavy tasks. Claude Fable 5.1 is the equal alternative at the same price, stronger on open-ended research. For strategy that ends in a memo, Claude Sonnet 5.5 writes it up best.
The safest strategy 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 strategy — pick it when quality of output matters more than the $10.00/1M/1M input you pay for it.
Claude Sonnet 5.5 handles the same job for about 80% less per token. Start here and only move up if the output is not good enough.
Claude Fable 5.1 is the fastest of these for strategy — worth it when latency is what the reader notices, not the last few points of reasoning depth.
GPT-6 Astra is the best strategic-thinking model — the token cost is small for low-volume, high-stakes questions.
Claude Fable 5.1 is an equally strong alternative, especially for open-ended research.
Claude Sonnet 5.5 is the best choice for turning strategy into a clear memo or deck.
Use GPT-6 Astra for prioritisation, trade-off analysis and pressure-testing assumptions.
Use Gemini 3.1 Pro when strategy starts with long documents, research and transcripts.
Use Claude Sonnet 5.5 when the output is mainly an executive memo or narrative.
Switch the scoring lens to see whether the strategy 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 strategy 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.
New frontier leader — better than Fable 5 on every published benchmark, and cheaper to run.
Best for research and deep document analysis — 2M context at the best premium price.
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 AstraOpenAI | $10.00/1M | $50.00/1M | $200 | 1.1M tokens | Deliberate | 100 | 97 | 100 |
| Claude Fable 5.1Anthropic | $10.00/1M | $50.00/1M | $200 | 1M tokens | Deliberate | 100 | 98 | 100 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
| 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 strategy, what it is genuinely good at, and where we would steer you away from it.
Our pick for strategy. 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.
The fastest model in this shortlist for strategy. Pick it when turnaround is what your readers or users notice.
Anthropic's September 1, 2026 frontier release and the new capability ceiling for coding, agents, and scientific work. Base pricing is unchanged at $10/$50, but cache reads dropped 75% to $0.25/1M — roughly 25% cheaper on typical workloads and up to 45% cheaper on agentic ones. 1M context, 128K output, adaptive thinking always on.
You need low latency, or your workload is uncached and cost-sensitive — Claude Opus 5 is half the base price and within a few points on agentic coding.
The new frontier leader, and the rare upgrade that costs less than the model it replaces. Base $10/$50 pricing did not move, but a 75% cut to cache reads makes typical workloads ~25% cheaper than Fable 5 and heavily agentic ones ~45% cheaper — while more than doubling Fable 5 on agentic science and beating Opus 5 on agentic coding. If you were already on Fable 5, switching is a straight win. If you were on Opus 5 for the price, it still costs 2x on uncached tokens.
Full pricing, benchmark table and release notes on the Claude Fable 5.1 page.
Rounds out the shortlist for strategy at 80/100 on coding.
Best for research and deep document analysis — 2M context at the best premium price. Full Gemini 3.1 Pro review →
The value option for strategy: about 80% less per token than GPT-6 Astra, at 98/100 on coding. Worth starting here and moving up only if the output disappoints.
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 strategy, GPT-6 Astra (OpenAI) is our pick. OpenAI's frontier answer to Fable 5.1 — computer-use and agentic-coding leader at $10/$50. It costs $10/1M input and $50/1M output tokens, with a 1.05M-token context window — enough headroom for all but the largest strategy jobs. Claude Fable 5.1 is the closest alternative if it doesn't fit your setup.
Because the work it is built for overlaps closely with strategy: computer-use agents that fill forms, update CRMs, run QA in a browser — 72.6% on OSWorld 2.0 at ~40 minutes per task vs Sol's 75 and agentic coding in Codex with cross-context notes — 57.9% Terminal-Bench 4.0, ahead of Claude Fable 5.1 (55.8%). 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, GPT-6.1 Sol at $2/$10 is the value default — OpenAI says it comes close to Astra at a fifth of the price.
On a moderate month — 10M input and 2M output tokens — GPT-6 Astra runs about $200.00 at list price, with no batch or caching discounts applied, so treat that as a ceiling. Gemini 3.1 Pro is the cheaper route at roughly $44.00 for the same volume, if strategy is high-volume enough for price to lead the decision.
$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). 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. None of that rules it out for strategy 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 3.1 Pro at $2/1M input is the budget option here. Google's Pro model — 1M context and native multimodal input at $2/$12. Expect a quality step down on the hardest cases — the usual pattern is to route routine strategy volume to Gemini 3.1 Pro and keep GPT-6 Astra for the work where a wrong answer is expensive.
Claude Sonnet 5.5, rated fast against GPT-6 Astra's deliberate. Speed matters most for interactive and high-volume work; if your strategy runs in the background, the slower and more capable model is usually the better trade.