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reasoning benchmark

FACTS Grounding Leaderboard

FACTS Grounding evaluates language models on generating factually accurate, well-grounded responses from long-form input contexts.

Updated Sep 5, 2026

Models13
Model coverage13
MetricScore
EvidenceC

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FACTS Grounding Ranking

Higher score ranks better on this benchmark.

13 rows
Columns

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Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelGOGemini 2.5 Pro Preview 06-05GoogleScore87.80%Percentile100.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemini 2.5 FlashGoogleScore85.30%Percentile91.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank03ModelGOGemini 2.5 Flash-LiteGoogleScore84.10%Percentile83.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank04ModelGOGemini 2.0 FlashGoogleScore83.60%Percentile75.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank05ModelGOGemini 2.0 Flash-LiteGoogleScore83.60%Percentile66.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank06ModelGOGemma 3 12BGoogleScore75.80%Percentile58.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank07ModelGOGemma 3 27BGoogleScore74.90%Percentile50.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemini 3 ProGoogleScore70.50%Percentile41.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank09ModelGOGemma 3 4BGoogleScore70.10%Percentile33.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank10ModelGOGemini 3 FlashGoogleScore61.90%Percentile25.00%Participants13EvidenceCEvaluatedSep 8, 2026
Rank11ModelZAGLM-5V-TurboZhipu AIScore58.60%Percentile16.67%Participants13EvidenceCEvaluatedSep 8, 2026
Rank12ModelGOGemini 3.1 Flash-LiteGoogleScore40.60%Percentile8.33%Participants13EvidenceCEvaluatedSep 8, 2026
Rank13ModelGOGemma 3 1BGoogleScore36.40%Percentile0.00%Participants13EvidenceCEvaluatedSep 8, 2026

FACTS Grounding Highlights

The leading models and scores on this benchmark.

FACTS Grounding Score Distribution

A closer view of the leading scores on this benchmark.

FACTS Grounding

The Top AI Models for FACTS Grounding

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

What is FACTS Grounding?

What FACTS Grounding measures and how its scores work.

FACTS Grounding is a reasoning benchmark comprising 1,719 examples with documents up to 32k tokens that require detailed responses grounded in the provided documents.

It measures the Score ratio for factual accuracy and grounding of responses based on the provided documents.

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

Family
FACTS Grounding
Modality
text
Primary category
reasoning
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 FACTS Grounding.

Which model scores highest on FACTS Grounding?

Gemini 2.5 Pro Preview 06-05 is currently ranked first with 87.80%.

What are the top three models on FACTS Grounding?

The current leaders are Gemini 2.5 Pro Preview 06-05 (87.80%), Gemini 2.5 Flash (85.30%), and Gemini 2.5 Flash-Lite (84.10%).

Which FACTS Grounding model has the lowest official input price?

Gemini 2.5 Flash-Lite has the lowest matched official input price at $0.10 input / $0.40 output per 1M tokens.

Which models are fastest among FACTS Grounding results?

The fastest matched records are Gemini 2.0 Flash (183.00 tok/s via Google), Gemini 3 Flash (124.32 tok/s via Google), and Gemini 3 Pro (90.00 tok/s via Google).

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 FACTS Grounding measure?

It measures the Score ratio for factual accuracy and grounding of responses based on the provided documents.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

13 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 #1Gemini 2.5 Pro Preview 06-0587.80%
Rank #2Gemini 2.5 Flash85.30%
Rank #3Gemini 2.5 Flash-Lite84.10%
Rank #4Gemini 2.0 Flash83.60%

Ranking basisThis facts grounding 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
    GO
    Gemini 2.5 Pro Preview 06-05Google
    Score
    87.80%
    Price
    $1.3 input / $10 output per 1M tokens
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #1 of 13 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FACTS Grounding, not total model capability
  2. 02
    GO
    Gemini 2.5 FlashGoogle
    Score
    85.30%
    Price
    $0.30 input / $2.5 output per 1M tokens
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #2 of 13 compared models
    • 92th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FACTS Grounding, not total model capability
  3. 03
    GO
    Google
    Score
    84.10%
    Price
    $0.10 input / $0.40 output per 1M tokens
    Speed
    Up to 5.69 tok/s via Google

    Strengths

    • Ranks #3 of 13 compared models
    • 83th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FACTS Grounding, not total model capability
  4. 04
    GO
    Google
    Score
    83.60%
    Speed
    Up to 183.00 tok/s via Google

    Strengths

    • Ranks #4 of 13 compared models
    • 75th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FACTS Grounding, not total model capability
  5. 05
    GO
    Google
    Score
    83.60%
    Speed
    Up to 85.00 tok/s via Google

    Strengths

    • Ranks #5 of 13 compared models
    • 67th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures FACTS Grounding, not total model capability

Selection summary

Best AI Models for FACTS Grounding

Gemini 2.5 Pro Preview 06-05 currently leads FACTS Grounding with 87.80%. 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.

Gemini 2.5 Flash-Lite
Gemini 2.0 Flash
Gemini 2.0 Flash-Lite
Benchmark rank #1Gemini 2.5 Pro Preview 06-0587.80% · $1.3 input / $10 output per 1M tokens
Benchmark rank #2Gemini 2.5 Flash85.30% · $0.30 input / $2.5 output per 1M tokens
Benchmark rank #3Gemini 2.5 Flash-Lite84.10% · $0.10 input / $0.40 output per 1M tokens