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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Amir: tiny-llm

8 benchmarks
CompanyAmir

Leaderboard position

#1095
Overall rank (of 1122 models)
-649
Elo rating
8
Benchmarks
Top 97.6%
Percentile
In Amir (of 1 models)

Benchmark highlights

Nearest competitor from another company

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

appeared as nearest in 2 of 8 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
PIQA ~62.08 62% SupraLabs: Supra Mini v6 1M, Doge Face: Doge 20M, raincandy-u: rain-v2
Terminal-Bench v2.1 ~8.6 60% Xiaomi: MiMo-V2.5 Pro
SWE-bench Pro ~5.24 60% Xiaomi: MiMo-V2.5 Pro
SciCode ~3.9 60% Xiaomi: MiMo-V2.5 Pro
AA-LCR ~13.76 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) ~1159.89 60% Hugging Face Smol Models Research: smollm2-1.7b-instruct, Xiaomi: MiMo-V2.5 Pro
GSM8K ~22.92 59% Google: Gemma 3 270M Instruct, Hugging Face Smol Models Research: smollm2-135m-instruct, Hugging Face Smol Models Research: smollm2-135m
Claw-Eval ~12.39 58% Xiaomi: MiMo-V2.5 Pro
CowQA ~20.65 58% NON AI - НЕ ИИ: Random baseline - Случайный счёт, Technology Innovation Institute: Falcon H1 Tiny 90M Instruct, Hugging Face Smol Models Research: SmolLM2 360M Instruct
BrowseComp ~0.6 58% NON AI - НЕ ИИ: Random baseline - Случайный счёт, NON AI - НЕ ИИ: Human baseline - Человеческий результат
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
GPQA Diamond ~25.69 57% NON AI - НЕ ИИ: Random baseline - Случайный счёт, LiquidAI: lfm-2.5-350m, LiquidAI: LFM2.5-230M
IFEval ~60.89 57% Google: Gemma 3 270M Instruct, Hugging Face Smol Models Research: smollm2-135m-instruct, LiquidAI: lfm-2.5-350m
MATH ~3.66 56% Google: gemma-3-1b-pt, Qwen: qwen-1.8b, Qwen: qwen3-1.7b-base
BBH ~34.01 56% Hugging Face Smol Models Research: smollm2-135m-instruct, AMD: amd-olmo-1b, Google: gemma-3-1b-pt
Artificial Analysis Intelligence Index v4.1 (Maximum Reasoning) ~1 56% Google: Gemma 3 270M Instruct, Mistral AI: devstral-small-2505, OpenBMB: minicpm5-1b
Artificial Analysis Intelligence Index v4.0 (Maximum Reasoning) ~4.7 56% Google: Gemma 3 270M Instruct, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
MMLU-Pro ~25.98 55% LiquidAI: lfm-2.5-350m, Google: gemma-3-1b-pt, OpenBMB: minicpm5-1b
IFBench ~30.28 55% LiquidAI: lfm-2.5-350m, LiquidAI: LFM2.5-230M, OpenBMB: minicpm5-1b
Artificial Analysis Agentic Index (Maximum Reasoning) ~3.8 55% Qwen: Qwen3 0.6B, Xiaomi: MiMo-V2.5 Pro
HumanEval ~35.67 54% Technology Innovation Institute: falcon-h1-1.5b-instruct, Qwen: qwen-1.8b, Technology Innovation Institute: falcon-h1-1.5b-base
MBPP ~27.29 54% Google: gemma-3-1b-pt, Technology Innovation Institute: falcon-h1-1.5b-instruct, Qwen: qwen-1.8b
Artificial Analysis Intelligence Index v4.3.2 ~5 54% Google: Gemma 3 270M Instruct, OpenBMB: minicpm5-1b, Qwen: Qwen3.5 0.8B
GPQA ~10.93 54% Google: gemma-3-1b-pt, Qwen: Qwen3.5 0.8B, Technology Innovation Institute: falcon-h1-1.5b-instruct