Gemini 3 Pro for reasoning

Why Gemini 3 Pro fits this task

Three things about Gemini 3 Pro that map directly onto what this task rewards: Massive 1M-token context window; Strong reasoning at competitive price. Beyond the task-specific fit, Gemini 3 Pro also brings state-of-the-art vision and document understanding and native multimodal (text, image, audio, video), both of which compound when the workload broadens.

The criteria this task rewards

LLMDex ranks best llm for reasoning on 5 criteria , these are the axes the ranking uses, in priority order:

• GPQA Diamond performance
• ARC-AGI public set scores
• Chain-of-thought coherence on novel puzzles
• Reasoning-token cost, expensive on flagship reasoning models
• Latency budget, reasoning runs are slow by design

How Gemini 3 Pro scores on each axis

Where Gemini 3 Pro costs you: tool-use ergonomics still lag openai / anthropic in some setups. For most teams this is acceptable on this workload, the value of the strengths above outweighs the cost. For cost-bound workloads or teams with strict latency budgets, run an eval against the next two ranked models on real data before committing.

When to pick something else

If you can pay slightly more or accept slightly different tradeoffs, DeepSeek-R1 from DeepSeek ranks one position higher and tends to win on the hardest cases. First open-weight reasoning model to match o1, the release that proved RL-from-scratch reasoning training was reproducible.