Search and Function-Calling

Paper

Progress Over Time

Interactive timeline showing model performance evolution on Search and Function-Calling

State-of-the-art frontier
Open
Proprietary

Search and Function-Calling Leaderboard

3 models
ContextCostLicense
1
OpenAI
OpenAI
1.1M$2.50 / $15.00
2
OpenAI
OpenAI
1.1M$5.00 / $30.00
3
OpenAI
OpenAI
1.1M$1.00 / $6.00
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About this benchmark

What is Search and Function-Calling?

Search and Function-Calling is an OpenAI internal production benchmark measuring reliable search-tool use and function calling in agentic workflows, reported as a pass rate.

Search and Function-Calling is a text benchmark evaluating models on agents and tool calling tasks. LLM Stats tracks 3 models on this benchmark, scored on a 0–1 scale. The current average is 0.9, with the leader at 0.9.

Compare leaders on the best AI for agents and best AI for tool calling leaderboards.

Current leaders

GPT-5.6 Terra from OpenAI currently leads the Search and Function-Calling leaderboard with a score of 0.946 across 3 evaluated AI models.

1GPT-5.6 TerraOpenAI94.6%
2GPT-5.6 SolOpenAI91.0%
3GPT-5.6 LunaOpenAI89.7%

FAQ

Common questions about the Search and Function-Calling benchmark and leaderboard.

What is the Search and Function-Calling benchmark?

Search and Function-Calling is an OpenAI internal production benchmark measuring reliable search-tool use and function calling in agentic workflows, reported as a pass rate.

What is the Search and Function-Calling leaderboard?

The Search and Function-Calling leaderboard ranks 3 AI models based on their performance on this benchmark. Currently, GPT-5.6 Terra by OpenAI leads with a score of 0.946. The average score across all models is 0.918.

What is the highest Search and Function-Calling score?

The highest Search and Function-Calling score is 0.946, achieved by GPT-5.6 Terra from OpenAI.

How many models are evaluated on Search and Function-Calling?

3 models have been evaluated on the Search and Function-Calling benchmark, with 0 verified results and 3 self-reported results.

Where can I find the Search and Function-Calling paper?

The Search and Function-Calling paper is available at https://deploymentsafety.openai.com/gpt-5-6. The paper details the methodology, dataset construction, and evaluation criteria.

What categories does Search and Function-Calling cover?

Search and Function-Calling is categorized under agents and tool calling. The benchmark evaluates text models.

Which model offers the best value on Search and Function-Calling?

Among models scoring within 10% of the leader, GPT-5.6 Luna from OpenAI is the cheapest, at $1.00 per million input tokens with a score of 0.897.

How recent are the Search and Function-Calling leaderboard results?

The Search and Function-Calling leaderboard was last updated in July 2026 and currently includes 3 evaluated models.