Google · model passport
Gemini 1 5 Flash 001
gemini-1-5-flash-001- Cloud only
- Proprietary licence
- Released 2024-05-14(curated)
- Overall · LMArena
- 1,287#280 of 396
- Best percentile
- 30.1Hard prompts
- Cohort standing
- 30.8median 34.5
What the data says
Benchmarked on 8 of 27 tracked axes. Every figure below is the model's own published result on that board.
Weakest axes
- 13.5 pct — AIME (math) (3.9%)
Uneven: 16.6 percentile points between its best and worst axis — 30.1 pct on Hard prompts versus 13.5 pct on AIME (math).
- Hard prompts30.1 pct1,288Verify →
- Overall29.5 pct1,287Verify →
- Instruction following29.3 pct1,265Verify →
- Coding27.9 pct1,309Verify →
- LiveBench22.3 pct36.3%Verify →
- GPQA Diamond20.8 pct40.4%Verify →
- Vision Arena15.3 pct1,059Verify →
- AIME (math)13.5 pct3.9%Verify →
- WebDev ArenaNot benchmarked
- Factuality ArenaNot benchmarked
- Search ArenaNot benchmarked
- Document ArenaNot benchmarked
- Agent ArenaNot benchmarked
- FrontierMathNot 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-001 stands at 30.8 (raw mean 23.6) — measured on 8 of 27 axes.
gemini-1.5-flash-001 stands at 30.8 versus a cohort median of 34.5 across 118 models released within 180 days — below the peer median.
gemini-1.5-flash-001 scores at percentile 13.5 on AIME (math).
gemini-1.5-flash-001 ranks between #279 and #989 across 5 built-in weightings — best under "Coding-focused", 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 →