Claude Opus 4.6 wins on coding (99 vs 80) and writing quality. Gemini 3.1 Pro wins on price ($2 vs $15/1M input) and context window (2M vs 1M). For most workflows, Gemini 3.1 Pro is the stronger default — best for research and deep document analysis — 2m context at the best premium price.
Pick Gemini 3.1 Pro for research and long context. Pick Claude Opus 4.6 when agentic coding.
Best for research and deep document analysis — 2M context at the best premium price.
Use Gemini 3.1 Pro if you want the strongest default. Switch only when cost, speed, or context length matters more than maximum reliability.
The shortest way to see the safest default, the lower-cost option, and the specialist pick before you read deeper.
Gemini 3.1 Pro is the safest overall answer here when you want the strongest default instead of the lowest list price.
DeepSeek R1 is the lower-cost option to start with when you still need useful output at scale.
Claude Opus 4.6 is the better pick when response speed matters more than maximum reasoning depth.
Claude Opus 4.6 leads on coding with a score of 99 vs 80 for Gemini 3.1 Pro.
Gemini 3.1 Pro has the larger context window: 2M vs 1M for Claude Opus 4.6.
Gemini 3.1 Pro is cheaper at $2/1M input tokens vs $15/1M for Claude Opus 4.6.
Choose Gemini 3.1 Pro for research and long context — research.
Choose Claude Opus 4.6 when agentic coding.
Both models serve different primary workflows — consider using each where it has a clear edge.
This comparison focuses on the models most likely to answer this search intent well, not every model in the directory.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
Best for research and deep document analysis — 2M context at the best premium price.
Use these cards as the practical decision layer: what each leading option is good at, and when it becomes the wrong default.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
Agentic coding, complex multi-step reasoning, and deep research
You run high prompt volumes or cost is a constraint — Sonnet 4.6 delivers 97% of the quality at 20% of the price.
Best for research and deep document analysis — 2M context at the best premium price.
Research, deep document analysis, and long-context reasoning at competitive pricing
Your primary use case is writing quality or agentic coding — Claude wins both.
UseRightAI recommendations are based on practical decision factors people actually feel in day-to-day use.
Benchmark scores from SWE-bench (coding), ARC-AGI-2 (reasoning), and MMLU (knowledge breadth) — cross-referenced against Chatbot Arena community votes to filter out cherry-picked provider claims.
Input and output costs verified directly against each provider's official API pricing page. Updated whenever a price change is detected. Value-per-dollar is weighted separately from raw benchmark rank.
Advertised context sizes are noted but scored against real-world usability — models that degrade significantly at large contexts are penalised even if the window is technically available.
Production signals matter more than lab scores. We weight Cursor and Windsurf defaults, HackerNews sentiment, developer surveys, and which models teams actually keep using after the honeymoon period.
One-off wins on cherry-picked benchmarks don't move our rankings. We favour models that stay dependable across repeated prompts, diverse task types, and long sessions without degrading.
Time-to-first-token and output throughput from Artificial Analysis speed benchmarks. Latency is categorised from Very fast to Deliberate — relevant when building interactive or high-throughput products.
Data sources
The fastest way to see where the recommendation shifts when your priority changes.
The current #1 coding model by SWE-bench — use when quality is non-negotiable.
Best for research and deep document analysis — 2M context at the best premium price.
2M token context window — the largest of any frontier model
Leads ARC-AGI-2 reasoning benchmark at 77.1%
Best price-to-performance among premium models at $2/$12 per 1M tokens
Slower than Flash for everyday lightweight tasks
Claude Sonnet 4.6 is better for writing quality
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.
Gemini 3.1 Pro wins on more categories — research, long context, reasoning. Claude Opus 4.6 is the better pick when agentic coding. The right choice depends on your specific use case.
Gemini 3.1 Pro is cheaper at $2/1M input and $12/1M output. Claude Opus 4.6 costs $15/1M input and $75/1M output.
Gemini 3.1 Pro has the larger context window at 2M tokens vs Claude Opus 4.6's 1M. For large document analysis, Gemini 3.1 Pro is the stronger pick.
Claude Opus 4.6 is better for coding with a score of 99 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.
Gemini 3.1 Pro is faster with a balanced speed rating (score: 3) vs Claude Opus 4.6's deliberate rating (score: 2).
