If you want one short answer, use Claude Sonnet 4.6 — it leads on coding (79.6% SWE-bench), writing, and research at $3/1M input. Use GPT-5.4 only if you specifically need agentic desktop automation. Use Gemini 3.1 Pro for deep research with very large documents, and Gemini 3.1 Flash when budget matters most.
The safest this comparison default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Sonnet 4.6 is the strongest answer here for this comparison — pick it when quality of output matters more than the $3.00/1M/1M input you pay for it.
GPT-5.4 is the cheaper way in for this comparison, at $2.50/1M/1M input against Claude Sonnet 4.6's $3.00/1M/1M.
Gemini 3.1 Flash is the fastest of these for this comparison — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Sonnet 4.6 is the strongest daily driver right now — leads on coding (97), writing (96), and research (95).
GPT-5.4 is the only model with API-level desktop computer-use — unique for agentic automation workflows.
Use Gemini 3.1 Flash when cost and speed matter most — cheapest broad-use model with a 1M context window.
Start with Claude Sonnet 4.6 — it covers the most ground well for coding, writing, and research at a fair price.
Switch to GPT-5.4 only if your product needs to operate desktop software or click through UIs autonomously.
If you are unsure, default to the model that handles your most expensive mistake the best.
Switch the scoring lens to see whether the this comparison answer changes when cost, speed, or long-document depth leads the decision.
Anthropic / Premium / Sep 3, 2026
Best daily driver for coding and writing — the model most developers actually reach for.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You specifically need desktop-control capabilities (GPT-5.5/GPT-5.4) or the absolute highest coding ceiling (Opus 4.7).
If you want the shortest route to a recommendation, pick your use case and budget and use this as your first filter.
xAI
Grok 4.5 gives the best tradeoff between quality and spend for coding workflows.
Best for: Fast, token-efficient coding agents. Best cost-per-solved-task coding agent — efficiency over ceiling.
Where the this comparison recommendation shifts once you weigh price or latency differently.
Best daily driver for coding and writing — the model most developers actually reach for.
Best for agentic automation and desktop control workflows.
Best for research and deep document analysis — 2M context at the best premium price.
Best cheap AI for broad day-to-day work — now with 1M context.
Best low-cost writing option for fast-moving content teams.
List prices and published scores — the numbers this page's pick is built from.
| Model | Input | Output | Est. month | Context | Speed | Coding | Writing | Research |
|---|---|---|---|---|---|---|---|---|
| Claude Sonnet 4.6Anthropic | $3.00/1M | $15.00/1M | $60 | 1M tokens | Balanced | 97 | 98 | 93 |
| GPT-5.4OpenAI | $2.50/1M | $15.00/1M | $55 | 272k tokens | Balanced | 90 | 88 | 88 |
| Gemini 3.1 ProGoogle | $2.00/1M | $12.00/1M | $44 | 2M tokens | Balanced | 80 | 82 | 99 |
| Gemini 3.1 FlashGoogle | $0.50/1M | $3.00/1M | $11 | 1M tokens | Very fast | 68 | 75 | 76 |
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 this comparison, what it is genuinely good at, and where we would steer you away from it.
The default answer for this comparison — 97/100 on the coding axis, and the model we would start with unless the price below rules it out.
The default model powering Cursor and Windsurf. 79.6% SWE-bench, 1M context window, and best-in-tier writing quality — all at $3/1M input.
You specifically need desktop-control capabilities (GPT-5.5/GPT-5.4) or the absolute highest coding ceiling (Opus 4.7).
The best all-around model for most developers and writers. Strong SWE-bench, excellent writing, 1M context — all at $3/1M input. Hard to beat as a daily driver.
Full pricing, benchmark table and release notes on the Claude Sonnet 4.6 page.
The value option for this comparison: premium-tier pricing, at 90/100 on coding. Worth starting here and moving up only if the output disappoints.
OpenAI's latest flagship with unique desktop-control capabilities — it can see your screen, click, and navigate apps via the API.
You need the highest current coding benchmark scores — Claude Opus 4.7 and GPT-5.5 are newer premium picks.
Best choice when you need a model that can operate software autonomously at the older GPT-5.4 price tier. For current premium coding quality, Claude Opus 4.7 leads.
Full pricing, benchmark table and release notes on the GPT-5.4 page.
Rounds out the shortlist for this comparison 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 →
Here for latency: it answers fastest of anything listed for this comparison, at 68/100 on coding.
Best cheap AI for broad day-to-day work — now with 1M context. Full Gemini 3.1 Flash review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Most beginners should start with Gemini 3.1 Flash — cheap, fast, and broadly useful. If you expect technical coding work, start with Claude Sonnet 4.6 instead.
Most businesses should pair Claude Sonnet 4.6 for premium work with Gemini 3.1 Flash for high-volume tasks — strong quality at both price points.
Writers should start with Claude Sonnet 4.6. It leads on tone control, long-form clarity, and polished revision quality across the directory.
Developers should start with Claude Sonnet 4.6 (79.6% SWE-bench, $3/1M input). For budget coding throughput, Codestral 25.01 is the strongest cheap specialist.
Most teams benefit from two: Claude Sonnet 4.6 for high-stakes work and Gemini 3.1 Flash for repeated volume prompts. Adding GPT-5.4 makes sense only if you need desktop automation.