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reasoning benchmark

TriviaQA Leaderboard

TriviaQA is a large-scale reading comprehension dataset with over 650K question-answer-evidence triples, including 95K question-answer pairs and independently gathered evidence documents.

Updated Sep 5, 2026

Models18
Model coverage18
MetricScore
EvidenceB

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TriviaQA Ranking

Higher score ranks better on this benchmark.

18 rows
Columns

Show columns

Sort by
Rank
Model
Score
Percentile
Participants
Evidence
Evaluated
Rank01ModelMAKimi K2 BaseMoonshot AIScore85.10%Percentile100.00%Participants18EvidenceCEvaluatedSep 8, 2026
Rank02ModelGOGemma 2 27BGoogleScore83.70%Percentile94.12%Participants18EvidenceCEvaluatedSep 8, 2026
Rank03ModelXIMiMo-V2.5-ProXiaomiScore81.30%Percentile88.24%Participants18EvidenceCEvaluatedSep 8, 2026
Rank04ModelMAMistral Small 3.1 24B BaseMistral AIScore80.50%Percentile82.35%Participants18EvidenceCEvaluatedSep 8, 2026
Rank05ModelMAMistral Small 3.1 24B InstructMistral AIScore80.50%Percentile76.47%Participants18EvidenceCEvaluatedSep 8, 2026
Rank06ModelMAMistral Small 3 24B BaseMistral AIScore80.32%Percentile70.59%Participants18EvidenceCEvaluatedSep 8, 2026
Rank07ModelIBGranite 3.3 8B BaseIBMScore78.18%Percentile64.71%Participants18EvidenceCEvaluatedSep 8, 2026
Rank08ModelGOGemma 2 9BGoogleScore76.60%Percentile58.82%Participants18EvidenceCEvaluatedSep 8, 2026
Rank09ModelMAMinistral 3 (14B Base 2512)Mistral AIScore74.90%Percentile52.94%Participants18EvidenceCEvaluatedSep 8, 2026
Rank10ModelMAMistral Large 3Mistral AIScore74.90%Percentile47.06%Participants18EvidenceCEvaluatedSep 8, 2026
Rank11ModelMAMistral NeMo InstructMistral AIScore73.80%Percentile41.18%Participants18EvidenceCEvaluatedSep 8, 2026
Rank12ModelGOGemma 3n E4BGoogleScore70.20%Percentile35.29%Participants18EvidenceCEvaluatedSep 8, 2026
Rank13ModelGOGemma 3n E4B Instructed LiteRT PreviewGoogleScore70.20%Percentile29.41%Participants18EvidenceCEvaluatedSep 8, 2026
Rank14ModelMAMinistral 3 (8B Base 2512)Mistral AIScore68.10%Percentile23.53%Participants18EvidenceCEvaluatedSep 8, 2026
Rank15ModelMAMinistral 8B InstructMistral AIScore65.50%Percentile17.65%Participants18EvidenceCEvaluatedSep 8, 2026
Rank16ModelGOGemma 3n E2BGoogleScore60.80%Percentile11.76%Participants18EvidenceCEvaluatedSep 8, 2026
Rank17ModelGOGemma 3n E2B Instructed LiteRT (Preview)GoogleScore60.80%Percentile5.88%Participants18EvidenceCEvaluatedSep 8, 2026
Rank18ModelMAMinistral 3 (3B Base 2512)Mistral AIScore59.20%Percentile0.00%Participants18EvidenceCEvaluatedSep 8, 2026

TriviaQA Highlights

The leading models and scores on this benchmark.

TriviaQA Score Distribution

A closer view of the leading scores on this benchmark.

TriviaQA

The Top AI Models for TriviaQA

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

What is TriviaQA?

What TriviaQA measures and how its scores work.

TriviaQA is a reasoning benchmark based on complex, compositional questions and evidence documents for answering them.

It reports a Score expressed as a ratio.

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

Family
TriviaQA
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 TriviaQA.

Which model scores highest on TriviaQA?

Kimi K2 Base is currently ranked first with 85.10%.

What are the top three models on TriviaQA?

The current leaders are Kimi K2 Base (85.10%), Gemma 2 27B (83.70%), and MiMo-V2.5-Pro (81.30%).

Which TriviaQA model has the lowest official input price?

Ministral 3 (14B Base 2512) has the lowest matched official input price at $0.10 input / $0.10 output per 1M tokens.

Which models are fastest among TriviaQA results?

The fastest matched records are Mistral Small 3.1 24B Base (137.10 tok/s via Mistral AI), Mistral Small 3.1 24B Instruct (137.10 tok/s via Mistral AI), and Mistral NeMo Instruct (42.00 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 TriviaQA measure?

It reports a Score expressed as a ratio.

Is a higher score better?

Yes. Higher values rank better for this benchmark.

How many models are compared?

18 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 #1Kimi K2 Base85.10%
Rank #2Gemma 2 27B83.70%
Rank #3MiMo-V2.5-Pro81.30%
Rank #4Mistral Small 3.1 24B Base80.50%

Ranking basisThis triviaqa 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
    MA
    Kimi K2 BaseMoonshot AI
    Score
    85.10%

    Strengths

    • Ranks #1 of 18 compared models
    • 100th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures TriviaQA, not total model capability
  2. 02
    GO
    Gemma 2 27BGoogle
    Score
    83.70%

    Strengths

    • Ranks #2 of 18 compared models
    • 94th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures TriviaQA, not total model capability
  3. 03
    XI
    Xiaomi
    Score
    81.30%
    Price
    $0.44 input / $0.87 output per 1M tokens
    Speed
    Up to 5.27 tok/s via DeepInfra

    Strengths

    • Ranks #3 of 18 compared models
    • 88th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures TriviaQA, not total model capability
  4. 04
    MA
    Mistral AI
    Score
    80.50%
    Speed
    Up to 137.10 tok/s via Mistral AI

    Strengths

    • Ranks #4 of 18 compared models
    • 82th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures TriviaQA, not total model capability
  5. 05
    MA
    Mistral AI
    Score
    80.50%
    Speed
    Up to 137.10 tok/s via Mistral AI

    Strengths

    • Ranks #5 of 18 compared models
    • 76th percentile on this benchmark
    • C evidence result

    Considerations

    • This result measures TriviaQA, not total model capability

Selection summary

Best AI Models for TriviaQA

Kimi K2 Base currently leads TriviaQA with 85.10%. 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.

MiMo-V2.5-Pro
Mistral Small 3.1 24B Base
Mistral Small 3.1 24B Instruct
Benchmark rank #1Kimi K2 Base85.10%
Benchmark rank #2Gemma 2 27B83.70%
Benchmark rank #3MiMo-V2.5-Pro81.30% ยท $0.44 input / $0.87 output per 1M tokens