GPT-5.2 wins on coding (85 vs 80). Gemini 3.1 Pro wins on price ($2 vs $12/1M input) and context window (2M vs 200K). For most workflows, GPT-5.2 is the stronger default — capable but outclassed — gpt-5.4 is now cheaper and better.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
GPT-5.2 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.
Gemini 3.1 Pro is the better pick when response speed matters more than maximum reasoning depth.
GPT-5.2 leads on coding with a score of 85 vs 80 for Gemini 3.1 Pro.
Gemini 3.1 Pro has the larger context window: 2M vs 200K for GPT-5.2.
Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $12/1M for GPT-5.2.
Choose GPT-5.2 for coding and research — serious coding and complex product work.
Choose Gemini 3.1 Pro when research.
Gemini 3.1 Pro is the more cost-efficient option at $2/1M — worth considering if token volume is a concern.
Switch the scoring lens to see whether the top answer changes when you care more about cost, speed, or long-document work.
Google / Premium / Mar 24, 2026
Best for research and deep document analysis — 2M context at the best premium price.
Ranks models by the broadest mix of coding, writing, research, and long-context usefulness.
Your primary use case is writing quality or agentic coding — Claude wins both.
The fastest way to see where the recommendation shifts when your priority changes.
Capable but outclassed — GPT-5.4 is now cheaper and better.
Best for research and deep document analysis — 2M context at the best premium price.
Reliable at debugging and multi-file code edits
Strong structured reasoning for product and technical workflows
Solid default for teams that want one premium OpenAI model
Superseded by GPT-5.4 for most use cases
Claude Sonnet 4.6 leads on both coding and writing quality
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Newsletter
Useful if you care about ranking shifts, pricing changes, or a better recommendation appearing in this decision path.
No spam. Useful updates only. Affiliate disclosures always clearly labeled.
GPT-5.2 wins on more categories — coding, research, reasoning. Gemini 3.1 Pro is the better pick when research. The right choice depends on your specific use case.
Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. GPT-5.2 costs $12/1M input and $38/1M output.
Gemini 3.1 Pro has the larger context window at 2M tokens vs GPT-5.2's 200K. For large document analysis, Gemini 3.1 Pro is the stronger pick.
GPT-5.2 is better for coding with a score of 85 vs Gemini 3.1 Pro's 80. For the highest coding quality available, Claude Sonnet 4.6 (79.6% SWE-bench) or Opus 4.6 (80.8%) remain benchmarks.
Both GPT-5.2 and Gemini 3.1 Pro have similar speed profiles — rated balanced.
