Gemini 3 Pro for tool use

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; State-of-the-art vision and document understanding; Strong reasoning at competitive price. Beyond the task-specific fit, Gemini 3 Pro also brings massive 1m-token context window and state-of-the-art vision and document understanding, both of which compound when the workload broadens.

The criteria this task rewards

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

• Berkeley Function Calling Leaderboard (BFCL) scores
• Parallel tool-call support
• Recovery from tool errors
• Schema obedience for nested arguments
• Cost overhead vs. plain chat

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, GPT-5 from OpenAI ranks one position higher and tends to win on the hardest cases. OpenAI's unified flagship combining GPT-line breadth with built-in reasoning, replacing both GPT-4o and the o-series for most users.