GPT-5.5 wins on coding (96 vs 58) and writing quality and context window (1M vs 128K). For most workflows, GPT-5.5 is the stronger default — best openai flagship for agentic coding, research, and computer-use work.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.5 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Meta: Llama 3.1 8B Instruct is the lower-cost option to start with when you still need useful output at scale.
GPT-4o is the better pick when response speed matters more than maximum reasoning depth.
GPT-5.5 leads on coding with a score of 96 vs 58 for GPT-4o.
GPT-5.5 has the larger context window: 1M vs 128K for GPT-4o.
Both models are similarly priced — the decision comes down to capability, not cost.
Choose GPT-5.5 for coding and research — agentic coding.
Choose GPT-4o when multimodal tasks and image-adjacent workflows.
Both models serve different primary workflows — consider using each where it has a clear edge.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
OpenAI / Premium / May 28, 2026
Best OpenAI flagship for agentic coding, research, and computer-use work.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
You only care about the highest public coding benchmark score or need a cheaper high-volume model.
The fastest way to see where the recommendation shifts when your priority changes.
Best OpenAI flagship for agentic coding, research, and computer-use work.
Best all-around pick for image-heavy and multimodal workflows.
58.6% on SWE-Bench Pro, ahead of GPT-5.4 on the same public coding benchmark
82.7% on Terminal-Bench 2.0 for complex command-line workflows
1M token API context window for large-codebase and document-heavy workflows
Claude Opus 4.7 leads GPT-5.5 on SWE-Bench Pro for pure coding ceiling
Premium API pricing makes it less attractive for high-volume low-risk work
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
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GPT-5.5 wins on more categories — coding, research, reasoning. GPT-4o is the better pick when multimodal tasks and image-adjacent workflows. The right choice depends on your specific use case.
Both models are similarly priced at $5/1M input tokens. The decision should come down to capability, not cost.
GPT-5.5 has the larger context window at 1M tokens vs GPT-4o's 128K. For large document analysis, GPT-5.5 is the stronger pick.
GPT-5.5 is better for coding with a score of 96 vs GPT-4o's 58. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
GPT-4o is faster with a fast speed rating (score: 4) vs GPT-5.5's balanced rating (score: 3).
