Grok 4 wins on coding (92 vs 80). Gemini 3.1 Pro wins on writing quality. For most workflows, Grok 4 is the stronger default — strong coding value with 2m context — an underrated pick at this price.
Pick Grok 4 for coding and research. Pick Gemini 3.1 Pro when research.
Strong coding value with 2M context — an underrated pick at this price.
Use Grok 4 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.
Grok 4 is the safest overall answer here when you want the strongest default instead of the lowest list price.
Grok 4 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.
Grok 4 leads on coding with a score of 92 vs 80 for Gemini 3.1 Pro.
Both models are similarly priced — the decision comes down to capability, not cost.
Grok 4 is the stronger default for coding tasks.
Choose Grok 4 for coding and research — coding and research at competitive pricing with maximum context.
Choose Gemini 3.1 Pro when research.
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.
Strong coding value with 2M context — an underrated pick at this price.
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.
Strong coding value with 2M context — an underrated pick at this price.
Coding and research at competitive pricing with maximum context
You need the highest writing quality or the most reliable production-grade output — Claude wins both.
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.
Strong coding value with 2M context — an underrated pick at this price.
Best for research and deep document analysis — 2M context at the best premium price.
75% SWE-bench score — strong coding performance close to top Claude models
2M token context window at $2/$6 per million tokens
Fast and responsive for exploration and open-ended research loops
Claude Opus 4.6 and Sonnet 4.6 lead on pure coding benchmarks
Less established ecosystem and tooling than OpenAI or Anthropic
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.
Grok 4 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.
Both models are similarly priced at $2/1M input tokens. The decision should come down to capability, not cost.
Both Grok 4 and Gemini 3.1 Pro have the same 2M context window.
Grok 4 is better for coding with a score of 92 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.
Grok 4 is faster with a fast speed rating (score: 4) vs Gemini 3.1 Pro's balanced rating (score: 3).
