Agentic AI models need to use tools reliably, maintain context over long tasks, and self-correct without human intervention. Claude Opus 4.7 leads on autonomous coding agents (64.3% SWE-bench Pro). GPT-5.4 is the only model that can control a desktop via API. GPT-5.5 excels on Terminal-Bench for command-line agent workflows.
The safest agentic tasks default, the cheaper option worth trying first, and the specialist pick — before you read the detail below.
Claude Opus 4.7 is the strongest answer here for agentic tasks — pick it when quality of output matters more than the $5.00/1M/1M input you pay for it.
Claude Sonnet 4.6 handles the same job for about 40% less per token. Start here and only move up if the output is not good enough.
GPT-5.5 is the fastest of these for agentic tasks — worth it when latency is what the reader notices, not the last few points of reasoning depth.
Claude Opus 4.7 leads SWE-Bench Pro at 64.3% — the benchmark for autonomous coding agents.
GPT-5.4 is the only frontier model with real computer-use (desktop control) via the API.
GPT-5.5 scores 82.7% on Terminal-Bench and integrates natively with Codex agent pipelines.
Choose Claude Opus 4.7 when coding quality and autonomous PR/review loops matter most.
Choose GPT-5.4 when your agent needs to click, type, or navigate desktop software via API.
Choose Claude Sonnet 4.6 for cost-effective agentic coding at $3/1M input — 79.6% SWE-bench.
Switch the scoring lens to see whether the agentic tasks 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).
Where the agentic tasks recommendation shifts once you weigh price or latency differently.
Previous Opus flagship, now superseded by Claude Opus 4.8 at the same price.
Best OpenAI flagship for agentic coding, research, and computer-use work.
Best for agentic automation and desktop control workflows.
Best daily driver for coding and writing — the model most developers actually reach for.
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 Opus 4.7Anthropic | $5.00/1M | $25.00/1M | $100 | 1M tokens | Deliberate | 96 | 93 | 95 |
| GPT-5.5OpenAI | $5.00/1M | $30.00/1M | $110 | 1M tokens | Balanced | 96 | 92 | 94 |
| GPT-5.4OpenAI | $2.50/1M | $15.00/1M | $55 | 272k tokens | Balanced | 90 | 88 | 88 |
| Claude Sonnet 4.6Anthropic | $3.00/1M | $15.00/1M | $60 | 1M tokens | Balanced | 97 | 98 | 93 |
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 agentic tasks, what it is genuinely good at, and where we would steer you away from it.
Ranked first here for agentic tasks: 96/100 on coding, with the widest margin of anything in this line-up.
Anthropic's previous Opus flagship, now superseded by Opus 4.8. Still the second-best coding model publicly available at the same $5/$25 price.
You need cheaper high-volume throughput, image generation, or a workflow that must stay inside OpenAI tooling.
Superseded by Opus 4.8 (May 27, 2026) which scores 69.2% SWE-Bench Pro vs 64.3% here — at the same price. For existing pinned integrations Opus 4.7 still works well, but new deployments should use Opus 4.8.
Full pricing, benchmark table and release notes on the Claude Opus 4.7 page.
The fastest model in this shortlist for agentic tasks. Pick it when turnaround is what your readers or users notice.
OpenAI's latest agentic flagship for coding, research, computer-use workflows, and long multi-step knowledge work.
You only care about the highest public coding benchmark score or need a cheaper high-volume model.
The strongest OpenAI pick for agentic coding and knowledge work. Claude Opus 4.7 still wins on the public SWE-Bench Pro coding number, but GPT-5.5 is the better OpenAI default when ecosystem, Codex, or computer-use workflows matter.
Full pricing, benchmark table and release notes on the GPT-5.5 page.
The alternative to check next for agentic tasks — 90/100 on coding.
Best for agentic automation and desktop control workflows. Full GPT-5.4 review →
The value option for agentic tasks: about 40% less per token than Claude Opus 4.7, at 97/100 on coding. Worth starting here and moving up only if the output disappoints.
Best daily driver for coding and writing — the model most developers actually reach for. Full Claude Sonnet 4.6 review →
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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Claude Opus 4.7 is the best for autonomous coding agents with a 64.3% SWE-Bench Pro score. GPT-5.4 is best when agents need to interact with desktop software. GPT-5.5 is the strongest for OpenAI-native Codex agent pipelines.
All frontier models (Claude, GPT-5.x, Gemini 3.1 Pro) support structured tool/function calling. Claude models are generally more reliable at following tool schemas without hallucinating parameters.
Yes — Llama 4 Maverick and DeepSeek V3 both support function calling and work well in open-source agent frameworks like LangGraph and AutoGen. Expect lower reliability than frontier closed models on complex multi-step tasks.