Google DeepMind · model passport
Gemini 1 5 Flash 002
gemini-1-5-flash-002- Cloud only
- Proprietary licence
- Released 2024-09-24(curated)
- Overall · LMArena
- 1,309#255 of 396
- Best percentile
- 43.3LiveBench
- Cohort standing
- 34.6median 38.2
What the data says
Benchmarked on 9 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 2.9 pct — FrontierMath (0.0%)
Uneven: 40.4 percentile points between its best and worst axis — 43.3 pct on LiveBench versus 2.9 pct on FrontierMath.
- LiveBench43.3 pct49.6%Verify →
- Overall35.9 pct1,309Verify →
- Instruction following35.1 pct1,290Verify →
- Hard prompts31.6 pct1,303Verify →
- Coding30.2 pct1,316Verify →
- GPQA Diamond29.9 pct47.3%Verify →
- Vision Arena28.7 pct1,141Verify →
- AIME (math)27.5 pct16.3%Verify →
- FrontierMath2.9 pct0.0%Verify →
- WebDev ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- SimpleQA VerifiedNot benchmarked
- ARC-AGI-2Not benchmarked
- Humanity's Last ExamNot benchmarked
- SimpleBenchNot benchmarked
- BFCL v4 (function calling)Not benchmarked
- SWE-bench Verified (live board)Not benchmarked
- Terminal-Bench 4.0Not benchmarked
- MMLU-Pro (Artificial Analysis)Not benchmarked
- LiveCodeBench (Artificial Analysis)Not benchmarked
- IFBench (Artificial Analysis)Not benchmarked
- HHEM Hallucination (Vectara)Not benchmarked
- SWE-bench VerifiedNot benchmarked
- Terminal-BenchNot benchmarked
Percentiles are the model's standing within each board's own population. Axes marked "not benchmarked" have no published result for this model — that is an absence of data, not a low score.
gemini-1.5-flash-002 stands at 34.6 (raw mean 29.4) — measured on 9 of 27 axes.
gemini-1.5-flash-002 stands at 34.6 versus a cohort median of 38.2 across 132 models released within 180 days — below the peer median.
gemini-1.5-flash-002 scores at percentile 2.9 on FrontierMath.
gemini-1.5-flash-002 ranks between #255 and #940 across 5 built-in weightings — best under "Conversation-first", worst under "All sources".
Every claim is a computed fact from the current board data, phrased by a low-temperature model call and rejected by a validation gate if any number is not in the source row. How the leaderboards work →