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agents benchmark

Search and Function-Calling Leaderboard

Search and Function-Calling is an OpenAI internal production benchmark for search-tool use and function calling in agentic workflows.

Updated Sep 5, 2026

Models3
Model coverage3
MetricScore
EvidenceB

On this page

  • Ranking
  • Highlights
  • Distribution
  • Top models
  • About
  • FAQ

Search and Function-Calling Ranking

Higher score ranks better on this benchmark.

3 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelOPGPT-5.6 TerraOpenAIScore94.60%Percentile100.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank02ModelOPGPT-5.6 SolOpenAIScore91.00%Percentile50.00%Participants3EvidenceCEvaluatedSep 8, 2026
Rank03ModelOPGPT-5.6 LunaOpenAIScore89.70%Percentile0.00%Participants3EvidenceCEvaluatedSep 8, 2026

Search and Function-Calling Highlights

The leading models and scores on this benchmark.

Search and Function-Calling Score Distribution

A closer view of the leading scores on this benchmark.

Search and Function-Calling

The Top AI Models for Search and Function-Calling

The first five results on this benchmark, with official price and output speed added where the model identity can be matched.

What is Search and Function-Calling?

What Search and Function-Calling measures and how its scores work.

Search and Function-Calling is an OpenAI internal production benchmark.

It measures reliable search-tool use and function calling in agentic workflows, reported as a pass rate.

Scores are shown in ratio. This benchmark is not independently verified and has an evidence level of B.

Family
Search and Function-Calling
Modality
text
Primary category
agents
Score direction
higher
LLMBoard eligible
No
Evaluation key
overall

LLM Stats. Benchmark scores retain their original unit. Overall score eligibility is shown separately.

FAQ

Common questions about Search and Function-Calling.

Which model scores highest on Search and Function-Calling?

GPT-5.6 Terra is currently ranked first with 94.60%.

What are the top three models on Search and Function-Calling?

The current leaders are GPT-5.6 Terra (94.60%), GPT-5.6 Sol (91.00%), and GPT-5.6 Luna (89.70%).

Which Search and Function-Calling model has the lowest official input price?

GPT-5.6 Luna has the lowest matched official input price at $0.20 input / $1.2 output per 1M tokens.

Which models are fastest among Search and Function-Calling results?

The fastest matched records are GPT-5.6 Terra (99.35 tok/s via OpenAI), GPT-5.6 Luna (41.87 tok/s via OpenAI), and GPT-5.6 Sol (2.36 tok/s via OpenAI).

Does the highest score result prove overall model quality?

No. This benchmark measures one defined capability or task. The overall LLMBoard score uses a separate aggregation across eligible benchmark evidence.

What does Search and Function-Calling measure?

It measures reliable search-tool use and function calling in agentic workflows, reported as a pass rate.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

3 model results are currently shown.

Does this benchmark affect the overall score?

No. This benchmark is shown for reference but does not contribute to the overall score.

Rank #1GPT-5.6 Terra94.60%
Rank #2GPT-5.6 Sol91.00%
Rank #3GPT-5.6 Luna89.70%

Ranking basisThis search and function-calling AI model leaderboard uses descending score in the benchmark original unit. The leaderboard ranking keeps matched price and speed data separate from benchmark evidence.

  1. 01
    OP
    GPT-5.6 TerraOpenAI
    Score
    94.60%
    Price
    $2.0 input / $12 output per 1M tokens
    Speed
    Up to 99.35 tok/s via OpenAI

    Strengths

    • Ranks #1 of 3 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Search and Function-Calling, not total model capability
  2. 02
    OP
    GPT-5.6 SolOpenAI
    Score
    91.00%
    Price
    $4.0 input / $20 output per 1M tokens
    Speed
    Up to 2.36 tok/s via OpenAI

    Strengths

    • Ranks #2 of 3 compared models
    • 50th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Search and Function-Calling, not total model capability
  3. 03
    OP
    OpenAI
    Score
    89.70%
    Price
    $0.20 input / $1.2 output per 1M tokens
    Speed
    Up to 41.87 tok/s via OpenAI

    Strengths

    • Ranks #3 of 3 compared models
    • 0th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures Search and Function-Calling, not total model capability

Selection summary

Best AI Models for Search and Function-Calling

GPT-5.6 Terra currently leads Search and Function-Calling with 94.60%. It is the top model on this specific benchmark, while the best LLM for the broader task should also be checked against other benchmarks, price, and runtime.

Use this leaderboard with the supporting benchmark results and coverage details above. A leaderboard position summarizes the selected ranking signal; it does not replace workload-specific testing.

GPT-5.6 Luna
Benchmark rank #1GPT-5.6 Terra94.60% · $2.0 input / $12 output per 1M tokens
Benchmark rank #2GPT-5.6 Sol91.00% · $4.0 input / $20 output per 1M tokens
Benchmark rank #3GPT-5.6 Luna89.70% · $0.20 input / $1.2 output per 1M tokens