Note: Overall leaderboard rankings may not reflect true model quality — individual benchmarks give a clearer picture. ARC-Challenge MMLU GPQA GSM8K Artificial Analysis Intelligence Index v4.1
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Google: functiongemma-270m-it

7 benchmarks
CompanyGoogle
Country of originUSA
WeightsOpen weights
Parameter count270.0M
VariantInstruct
OriginFinetune

Leaderboard position

#1087
Overall rank (of 1121 models)
-579
Elo rating
7
Benchmarks
Top 97.0%
Percentile
In Google (of 72 models)
Above: AI21: jamba-1.6-mini #1086 Below: LiquidAI: lfm-2-8b-a1b #1088

Benchmark highlights

Nearest competitor from another company

The model from another company with the most similar benchmark scores.

appeared as nearest in 1 of 7 benchmarks

Benchmarks

Predicted scores

Estimated from 25 similar models and the global Elo rating. These are projections, not measured results.

Benchmark Predicted Confidence Based on
-(CoderPPL) ~-9.95 64% SupraLabs: Supra-1.5 Instruct EXP, pleias: baguettotron, BigScience: bloom-560m
PIQA ~63.14 64% Google: Gemma 3 270M Instruct, SupraLabs: Supra-1.5 Instruct EXP, SupraLabs: Supra-50M Instruct
IFEval ~62.29 62% Google: Gemma 3 270M Instruct, LiquidAI: lfm-2.5-350m, LiquidAI: LFM2.5-230M
GSM8K ~26.7 62% Google: Gemma 3 270M Instruct, pleias: baguettotron, LiquidAI: lfm-2.5-350m
CowQA ~21.85 61% LiquidAI: LFM2.5-230M, Sapbot: Grok 4 Distill SmolLM2 135M, NON AI - НЕ ИИ: Random baseline - Случайный счёт
Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning) ~1 61% Google: Gemma 3 270M Instruct, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
Artificial Analysis Intelligence Index v4.0 (Maximum Reasoning) ~4.7 61% Google: Gemma 3 270M Instruct, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
GPQA Diamond ~27.14 60% LiquidAI: lfm-2.5-350m, LiquidAI: LFM2.5-230M, OpenBMB: minicpm5-1b
MMLU-Pro ~27.19 60% LiquidAI: lfm-2.5-350m, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
IFBench ~30.96 60% LiquidAI: lfm-2.5-350m, LiquidAI: LFM2.5-230M, OpenBMB: minicpm5-1b
Terminal-Bench v2.1 ~8.6 60% Xiaomi: MiMo-V2.5 Pro
SWE-bench Pro ~5.24 60% Xiaomi: MiMo-V2.5 Pro
SciCode ~4.53 60% Xiaomi: MiMo-V2.5 Pro
AA-LCR ~15.09 60% Xiaomi: MiMo-V2.5 Pro
Artificial Analysis Intelligence Index v4.1.1 (Maximum Reasoning) ~3 60% Xiaomi: MiMo-V2.5 Pro
Text Arena (Snapshot from 20 june 2026) ~1158.08 60% Hugging Face Smol Models Research: smollm2-1.7b-instruct, Xiaomi: MiMo-V2.5 Pro
BBH ~34.98 59% Hugging Face Smol Models Research: smollm2-135m-instruct, OpenBMB: minicpm5-1b, AMD: amd-olmo-1b
Artificial Analysis Intelligence Index v4.3.2 ~5 59% Google: Gemma 3 270M Instruct, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
Claw-Eval ~13.97 58% Xiaomi: MiMo-V2.5 Pro
BrowseComp ~2.36 58% NON AI - НЕ ИИ: Random baseline - Случайный счёт, NON AI - НЕ ИИ: Human baseline - Человеческий результат
GPQA ~10.83 58% Qwen: Qwen3.5 0.8B, Google: gemma-3-1b-pt, Qwen: qwen2.5-0.5b
SuperGPQA ~8.07 58% OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B, Google: gemma-3-1b-pt
Terminal-Bench v2.0 ~0 58% NON AI - НЕ ИИ: Random baseline - Случайный счёт, Xiaomi: MiMo-V2.5 Pro, NON AI - НЕ ИИ: Human baseline - Человеческий результат
Artificial Analysis Agentic Index (Maximum Reasoning) ~3.8 58% Qwen: Qwen3 0.6B, Xiaomi: MiMo-V2.5 Pro
MBPP ~26.35 57% Google: gemma-3-1b-pt, Hugging Face Smol Models Research: smollm3-3b, Qwen: qwen2.5-0.5b