Gemini 3.1 Pro: The Chat Arena Leader
The highest Chat Arena Elo (1,398) and top GPQA score (94.3%) with a 1M context window. A compelling full-stack option.
Best for reasoning-heavy tasks and massive codebase comprehension
Scores at a Glance
LLM-Stats Benchmarks
The Real-World AI Benchmark (Scored)
Reasoning and GPQA
Gemini 3.1 Pro posts the highest GPQA score in our benchmark at 94.3%, indicating exceptional complex reasoning ability. This translates to better performance on tasks that require understanding business logic, debugging intricate state machines, and reasoning about data flow across multiple services.
Chat Arena Dominance
At 1,398 Chat Arena Elo, Gemini 3.1 Pro is the highest-rated model for conversational quality. This matters for vibe coding because it means better understanding of ambiguous prompts, more helpful explanations, and stronger back-and-forth iteration.
Context and SWE-bench
The 1M context window is a major advantage for large codebase operations. Combined with an 80.6% SWE-bench score (highest after Opus 4.6), Gemini can handle complex multi-file tasks that require understanding extensive context.
Code Arena Gap
The 1,387 Code Arena score places it behind Opus 4.6, GPT-5.2, GLM-5, and Kimi K2.5 for pure coding tasks. If your workflow is heavily code-generation focused, the top-4 models may produce better raw output. But for reasoning-heavy coding tasks, Gemini's GPQA advantage shines.
Model Specs
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