Live data for 2026-10 (recalculated daily)
· Methodology v1
· Methodology
· History
· JSON
#
Tier
Model
fedi-index
Percentile
Value
Sources
Score decomposition
12 A GLM 5.3 Flashprovisional Zhipu AI · Open weights 1,454 ±19 92 +105◆ A ›
14 A MiMo-V2.5-Proprovisional Xiaomi · Open weights 1,451 ±12 90 +80 A ›
17 A Kimi K3provisional Moonshot AI · Open weights 1,448 ±17 88 +44 A ›
22 A GLM 5.3provisional Zhipu AI · Open weights 1,447 ±22 84 +60 A ›
25 A GLM 5.2provisional Zhipu AI · Open weights 1,440 ±14 82 +45 A ›
27 A GLM 5.1provisional Zhipu AI · Open weights 1,438 ±13 81 +36 A ›
31 B DeepSeek V4 Pro 0423provisional DeepSeek · Open weights 1,435 ±12 78 +33 A ›
35 B Kimi K2.6provisional Moonshot AI · Open weights 1,434 ±14 75 +44 A ›
40 B Nemotron 3 Ultraprovisional NVIDIA · Open weights 1,428 ±23 71 +33 A ›
41 B Qwen3.5 397B A17Bprovisional Alibaba · Open weights 1,427 ±11 70 +27 A ›
42 B Qwen3.8 27Bprovisional Alibaba · Open weights 1,426 ±21 69 +46 A ›
47 B GLM 4.6provisional Zhipu AI · Open weights 1,421 ±19 66 +26 A ›
51 B Kimi K2.5provisional Moonshot AI · Open weights 1,420 ±11 63 +36 A ›
54 B Inklingprovisional Thinking Machines Lab · Open weights 1,419 ±16 60 +27 A ›
55 B GLM 5provisional Zhipu AI · Open weights 1,418 ±17 60 +23 A ›
60 B Hy3provisional Tencent · Open weights 1,414 ±25 56 +68 A ›
62 B MiMo-V2.5provisional Xiaomi · Open weights 1,413 ±13 54 +75 A ›
63 B MiniMax M3provisional MiniMax · Open weights 1,413 ±13 54 +50 A ›
67 B Mistral Medium 3.5provisional Mistral AI · Open weights 1,408 ±24 51 -19 A ›
69 C Qwen3.5-122B-A10Bprovisional Alibaba · Open weights 1,407 ±17 49 +14 A ›
70 C DeepSeek V4 Flash 0423provisional DeepSeek · Open weights 1,407 ±13 48 +71 A ›
77 C Inkling Smallprovisional Thinking Machines Lab · Open weights 1,396 ±18 43 +38 A ›
80 C MiniMax M2.7provisional MiniMax · Open weights 1,393 ±11 41 +32 A ›
81 C Step 3.5 Flashprovisional StepFun · Open weights 1,392 ±12 40 +50 A ›
82 C GLM 4.7provisional Zhipu AI · Open weights 1,391 ±27 40 +20 A ›
83 C MiMo-V2-Flashprovisional Xiaomi · Open weights 1,391 ±25 39 +55◆ A ›
84 C GLM 4.5provisional Zhipu AI · Open weights 1,385 ±26 38 +18 A ›
87 C Qwen3.5-35B-A3Bprovisional Alibaba · Open weights 1,382 ±18 36 +11 A ›
88 C Qwen3 30B A3B Instruct 2507provisional Alibaba · Open weights 1,382 ±26 35 +25 A ›
90 C Qwen3.5-27Bprovisional Alibaba · Open weights 1,379 ±18 34 +14 A ›
91 C Qwen3 Next 80B A3B Instructprovisional Alibaba · Open weights 1,379 ±25 33 +32 A ›
93 C MiniMax M2.1provisional MiniMax · Open weights 1,372 ±23 31 +18 A ›
97 C GLM 4.5 Airprovisional Zhipu AI · Open weights 1,368 ±23 28 -2 A ›
98 C Nemotron 3 Nano 30B A3Bprovisional NVIDIA · Open weights 1,364 ±25 28 +6 A ›
99 C Qwen3 Coder 480B A35Bprovisional Alibaba · Open weights 1,362 ±25 27 -22 A ›
106 D gpt-oss-120bprovisional OpenAI · Open weights 1,343 ±23 22 -2 A ›
107 D MiniMax M1provisional MiniMax · Open weights 1,343 ±23 21 -36 A ›
109 D Trinity Large Thinkingprovisional Arcee AI · Open weights 1,342 ±17 19 -30 A ›
111 D MiniMax M2.5provisional MiniMax · Open weights 1,341 ±15 18 +9 A ›
115 D Qwen3 30B A3Bprovisional Alibaba · Open weights 1,326 ±25 15 -29 A ›
116 D gemma-3n-e4b-itprovisional Google · Open weights 1,309 ±27 14 — A ›
123 D mixtral-8x22b-instruct-v0.1provisional Mistral AI · Open weights 1,174 ±22 9 -236 A ›
…
A Arena (human votes) ◆ Pareto frontier: nothing is both better and cheaper
fedi-index is an Elo-equivalent on a fixed scale: comparable between months within one methodology version. Tiers S–D: by percentile in the slice, and no better than the confidence interval allows (cut-offs in the methodology). This slice has one source family, so all its scores are provisional.
Methodology
fedi-index © fedi.software, CC BY 4.0; components keep the licences of their sources. · Sources:
LMArena (CC BY 4.0),
Epoch AI (CC BY 4.0),
τ²-bench (Sierra) (MIT),
models.dev (MIT),
LiteLLM (MIT)
Arena Leaderboard Dataset by LMArena, CC BY 4.0. Modified by fedi.software (equated, weighted, aggregated). Not endorsed by LMArena.
Epoch AI, 'Capabilities & benchmarking'. Published online at epoch.ai. Retrieved from 'https://epoch.ai/benchmarks'. CC BY. ECI by Epoch AI; Epoch-run results only. Modified by fedi.software.
τ²-bench leaderboard, © Sierra Research, MIT License (Yao et al. 2024, arXiv:2406.12045; Barres et al. 2025, arXiv:2506.07982). Sierra-run text submissions only.
Pricing: models.dev, MIT License, © 2025 models.dev.
Pricing: LiteLLM model_prices_and_context_window.json, MIT License, © 2023 Berri AI.