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Models / Google

Google / MODEL EVIDENCE

Gemini 1.5 Flash (002)

16 benchmarks · 17 observations · 15 sources

Scores at a glance

16 benchmarks · large dot: Gemini 1.5 Flash (002); small dots: closest models where reported

MATH-500 ↗78.8 %
25.496.4

Gemini 1.5 Flash (002) · MATH 500 · Accuracy ↗

MMLU-Pro ↗65.61 %
30.2892.38

Gemini 1.5 Flash (002) · MMLU Pro · Accuracy ↗

MMMU-Pro ↗57.19 %
22.7790.64

Gemini 1.5 Flash (002) · MMMU Pro · Accuracy ↗

VISTA ↗34.03%
15.1854.65

Gemini 1.5 Flash 002 · Scale Labs · Score ↗

HumanEval+ ↗75.6%
1.889

Gemini 1.5 Flash 002 · HumanEval+ · Pass@1 · EvalPlus · official result data ↗

MBPP+ ↗67.5%
7.580.2

Gemini 1.5 Flash 002 · MBPP+ · Pass@1 · EvalPlus · official result data ↗

HumanEval ↗82.3%
2.496.3

Gemini 1.5 Flash 002 · HumanEval · Pass@1 · EvalPlus · official result data ↗

Chatbot Arena ↗1219 Elo
10611278

Gemini-1.5-Flash-002 · Chatbot Arena · Chatbot Arena Vision · English Elo · 2024-11-13 · November 13, 2024 snapshot ↗

FrontierMath-2025-02-28-Public ↗0%
070

gemini-1.5-flash-002 · FrontierMath-2025-02-28-Public · FrontierMath public · 10 questions · source run score · Epoch AI · public February 2025 sample · historical release ↗

Closest models by score

Similar positions on shared benchmark leaderboards. Smaller gaps are closer.

5.5 percentile-point gap

9 of 11 shared benchmark comparisons

5.6 percentile-point gap

10 of 11 shared benchmark comparisons

How similarity is measured

Mean absolute gap in percentile positions on shared benchmark settings; lower is closer. At least 60% overlap is required, with a minimum of three when available. Independent evaluations are used when there are at least three; otherwise published report comparisons are used. Repeated model observations within one setting are averaged before ranking. Writing-style traits and composite indices are excluded. This describes similarity, not an overall quality ranking.

Filter comparisons to this model →

Sources

Every plotted observation links to its evaluation. Reported configurations, benchmark versions and task subsets can differ; similarity describes shared scores, not training lift.

  1. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models — published result table ↗

    Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung et al. · 2024

    All 50 authors

    Deitke, Matt, Clark, Christopher, Lee, Sangho, Tripathi, Rohun, Yang, Yue, Park, Jae Sung, Salehi, Mohammadreza, Muennighoff, Niklas, Lo, Kyle, Soldaini, Luca, Lu, Jiasen, Anderson, Taira, Bransom, Erin, Ehsani, Kiana, Ngo, Huong, Chen, YenSung, Patel, Ajay, Yatskar, Mark, Callison-Burch, Chris, Head, Andrew, Hendrix, Rose, Bastani, Favyen, VanderBilt, Eli, Lambert, Nathan, Chou, Yvonne, Chheda, Arnavi, Sparks, Jenna, Skjonsberg, Sam, Schmitz, Michael, Sarnat, Aaron, Bischoff, Byron, Walsh, Pete, Newell, Chris, Wolters, Piper, Gupta, Tanmay, Zeng, Kuo-Hao, Borchardt, Jon, Groeneveld, Dirk, Nam, Crystal, Lebrecht, Sophie, Wittlif, Caitlin, Schoenick, Carissa, Michel, Oscar, Krishna, Ranjay, Weihs, Luca, Smith, Noah A., Hajishirzi, Hannaneh, Girshick, Ross, Farhadi, Ali, Kembhavi, Aniruddha

  2. Is Your Code Generated by ChatGPT Really Correct? Rigorous Evaluation of Large Language Models for Code Generation — published result table ↗

    Liu, Jiawei, Xia, Chunqiu Steven, Wang, Yuyao, Zhang, Lingming · 2023

  3. Scale Labs — evaluation methodology and results ↗

    Scale Labs / SEAL · 2026

  4. A Rosetta Stone for AI Benchmarks — released Epoch evaluation runs ↗

    Epoch AI · 2025

  5. AIME — evaluation methodology and results ↗

    Vals AI · 2026

  6. CorpFin — evaluation methodology and results ↗

    Vals AI · 2026

  7. GPQA Diamond — evaluation methodology and results ↗

    Vals AI · 2026

  8. LiveCodeBench — evaluation methodology and results ↗

    Vals AI · 2026

  9. LegalBench — evaluation methodology and results ↗

    Vals AI · 2026

  10. MATH 500 — evaluation methodology and results ↗

    Vals AI · 2026

  11. MGSM — evaluation methodology and results ↗

    Vals AI · 2026

  12. MMLU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  13. MMMU Pro — evaluation methodology and results ↗

    Vals AI · 2026

  14. MortgageTax — evaluation methodology and results ↗

    Vals AI · 2026

  15. TaxEval — evaluation methodology and results ↗

    Vals AI · 2026

Names used in source tables

Gemini 1.5 Flash (002) · Gemini 1.5 Flash 002 · Gemini-1.5-Flash-002 · gemini-1.5-flash-002