green-token-index / models.json
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{
"version": "1",
"updated": "2026-10-19",
"data_version": "2026-10-19",
"source": {
"name": "ML.ENERGY Leaderboard",
"publisher": "The ML.ENERGY Initiative (started at SymbioticLab, University of Michigan)",
"url": "https://ml.energy/leaderboard/",
"data_url": "https://raw.githubusercontent.com/ml-energy/leaderboard/master/public/data/tasks/lm-arena-chat.json",
"version": "3.0 (released 2025-12-01); data compiled 2026-02-16",
"released": "2025-12-01",
"compiled": "2026-02-16",
"compiled_evidence": "the leaderboard's public/data/index.json last_updated, and the last commit to the task files, both 2026-02-16",
"retrieved": "2026-09-26",
"licence": "Apache-2.0 per the ml-energy/benchmark-v3 dataset card",
"licence_evidence": [
"Hugging Face dataset ml-energy/benchmark-v3: tagged license:apache-2.0, ships a LICENSE file, and its dataset card's License section reads Apache-2.0",
"The ML.ENERGY Leaderboard web app's footer says Apache 2.0",
"The leaderboard repository (github.com/ml-energy/leaderboard) carries no licence file; its JSON files are reproduced here as published measurements until the ML.ENERGY team confirms that the dataset licence covers them"
],
"workload": "Text Conversation (lm-arena-chat)",
"method": "Energy per output token is steady-state GPU energy divided by the output tokens generated in the steady-state window (the benchmark's steady_state_energy_per_token), measured with Zeus under vLLM 0.11.1 on H100 80GB HBM3 and B200 servers. Energy per request is that figure multiplied by the average output length, not a separate measurement. Prompt processing is included.",
"selection": "Each index row is the lowest-energy configuration for its model and GPU whose median inter-token latency does not exceed 500 ms, the leaderboard's own default ceiling; no measured configuration reaches it.",
"cite": "Chung et al., The ML.ENERGY Benchmark: Toward Automated Inference Energy Measurement and Optimization, NeurIPS 2025 Datasets and Benchmarks, arXiv 2505.06371",
"cite_url": "https://arxiv.org/abs/2505.06371",
"used_for": "index, per-model configurations, concurrency curves, measured GPU power",
"configurations": "328 stable configurations: the leaderboard publishes the runs that passed its stability filter; every run, including the unstable ones, is in the gated Hugging Face dataset ml-energy/benchmark-v3"
},
"models": [
{
"slug": "deepseek-v3-1",
"name": "DeepSeek V3.1",
"model_id": "deepseek-ai/DeepSeek-V3.1",
"params_b": 671.0,
"active_params_b": 37.0,
"gpus": [
"B200"
],
"url": "https://leadgreen.ai/api/v1/models/deepseek-v3-1.json",
"page": "https://leadgreen.ai/models/deepseek-v3-1/"
},
{
"slug": "gemma-3-12b",
"name": "Gemma 3 12B",
"model_id": "google/gemma-3-12b-it",
"params_b": 12.0,
"active_params_b": 12.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/gemma-3-12b.json",
"page": "https://leadgreen.ai/models/gemma-3-12b/"
},
{
"slug": "gemma-3-27b",
"name": "Gemma 3 27B",
"model_id": "google/gemma-3-27b-it",
"params_b": 27.0,
"active_params_b": 27.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/gemma-3-27b.json",
"page": "https://leadgreen.ai/models/gemma-3-27b/"
},
{
"slug": "llama-3-1-405b-instruct",
"name": "Llama 3.1 405B Instruct",
"model_id": "meta-llama/Llama-3.1-405B-Instruct",
"params_b": 405.0,
"active_params_b": 405.0,
"gpus": [
"B200"
],
"url": "https://leadgreen.ai/api/v1/models/llama-3-1-405b-instruct.json",
"page": "https://leadgreen.ai/models/llama-3-1-405b-instruct/"
},
{
"slug": "llama-3-1-405b-instruct-fp8",
"name": "Llama 3.1 405B Instruct FP8",
"model_id": "meta-llama/Llama-3.1-405B-Instruct-FP8",
"params_b": 405.0,
"active_params_b": 405.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-3-1-405b-instruct-fp8.json",
"page": "https://leadgreen.ai/models/llama-3-1-405b-instruct-fp8/"
},
{
"slug": "llama-3-1-70b-instruct",
"name": "Llama 3.1 70B Instruct",
"model_id": "meta-llama/Llama-3.1-70B-Instruct",
"params_b": 70.0,
"active_params_b": 70.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-3-1-70b-instruct.json",
"page": "https://leadgreen.ai/models/llama-3-1-70b-instruct/"
},
{
"slug": "llama-3-1-8b-instruct",
"name": "Llama 3.1 8B Instruct",
"model_id": "meta-llama/Llama-3.1-8B-Instruct",
"params_b": 8.0,
"active_params_b": 8.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-3-1-8b-instruct.json",
"page": "https://leadgreen.ai/models/llama-3-1-8b-instruct/"
},
{
"slug": "llama-3-3-70b-instruct",
"name": "Llama 3.3 70B Instruct",
"model_id": "meta-llama/Llama-3.3-70B-Instruct",
"params_b": 70.0,
"active_params_b": 70.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-3-3-70b-instruct.json",
"page": "https://leadgreen.ai/models/llama-3-3-70b-instruct/"
},
{
"slug": "llama-4-maverick-17b-128e-instruct-fp8",
"name": "Llama 4 Maverick 17B 128E Instruct FP8",
"model_id": "meta-llama/Llama-4-Maverick-17B-128E-Instruct-FP8",
"params_b": 400.0,
"active_params_b": 17.0,
"gpus": [
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-4-maverick-17b-128e-instruct-fp8.json",
"page": "https://leadgreen.ai/models/llama-4-maverick-17b-128e-instruct-fp8/"
},
{
"slug": "llama-4-scout-17b-16e-instruct",
"name": "Llama 4 Scout 17B 16E Instruct",
"model_id": "meta-llama/Llama-4-Scout-17B-16E-Instruct",
"params_b": 109.0,
"active_params_b": 17.0,
"gpus": [
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/llama-4-scout-17b-16e-instruct.json",
"page": "https://leadgreen.ai/models/llama-4-scout-17b-16e-instruct/"
},
{
"slug": "nvidia-nemotron-nano-12b-v2",
"name": "NVIDIA Nemotron Nano 12B V2",
"model_id": "nvidia/NVIDIA-Nemotron-Nano-12B-v2",
"params_b": 12.0,
"active_params_b": 12.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/nvidia-nemotron-nano-12b-v2.json",
"page": "https://leadgreen.ai/models/nvidia-nemotron-nano-12b-v2/"
},
{
"slug": "nvidia-nemotron-nano-9b-v2",
"name": "NVIDIA Nemotron Nano 9B V2",
"model_id": "nvidia/NVIDIA-Nemotron-Nano-9B-v2",
"params_b": 9.0,
"active_params_b": 9.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/nvidia-nemotron-nano-9b-v2.json",
"page": "https://leadgreen.ai/models/nvidia-nemotron-nano-9b-v2/"
},
{
"slug": "qwen-3-14b",
"name": "Qwen 3 14B",
"model_id": "Qwen/Qwen3-14B",
"params_b": 14.0,
"active_params_b": 14.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-14b.json",
"page": "https://leadgreen.ai/models/qwen-3-14b/"
},
{
"slug": "qwen-3-235b-a22b-instruct",
"name": "Qwen 3 235B A22B Instruct",
"model_id": "Qwen/Qwen3-235B-A22B-Instruct-2507",
"params_b": 235.0,
"active_params_b": 22.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-235b-a22b-instruct.json",
"page": "https://leadgreen.ai/models/qwen-3-235b-a22b-instruct/"
},
{
"slug": "qwen-3-235b-a22b-instruct-fp8",
"name": "Qwen 3 235B A22B Instruct FP8",
"model_id": "Qwen/Qwen3-235B-A22B-Instruct-2507-FP8",
"params_b": 235.0,
"active_params_b": 22.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-235b-a22b-instruct-fp8.json",
"page": "https://leadgreen.ai/models/qwen-3-235b-a22b-instruct-fp8/"
},
{
"slug": "qwen-3-30b-a3b-instruct",
"name": "Qwen 3 30B A3B Instruct",
"model_id": "Qwen/Qwen3-30B-A3B-Instruct-2507",
"params_b": 30.0,
"active_params_b": 3.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-30b-a3b-instruct.json",
"page": "https://leadgreen.ai/models/qwen-3-30b-a3b-instruct/"
},
{
"slug": "qwen-3-32b",
"name": "Qwen 3 32B",
"model_id": "Qwen/Qwen3-32B",
"params_b": 32.0,
"active_params_b": 32.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-32b.json",
"page": "https://leadgreen.ai/models/qwen-3-32b/"
},
{
"slug": "qwen-3-8b",
"name": "Qwen 3 8B",
"model_id": "Qwen/Qwen3-8B",
"params_b": 8.0,
"active_params_b": 8.0,
"gpus": [
"B200",
"H100"
],
"url": "https://leadgreen.ai/api/v1/models/qwen-3-8b.json",
"page": "https://leadgreen.ai/models/qwen-3-8b/"
}
]
}