Live data for 2026-10 (recalculated daily)
· Methodology v1
· Methodology
· History
· JSON
#
Tier
Model
fedi-index
Percentile
Value
Sources
Score decomposition
11 A Kimi K3provisional Moonshot AI · Open weights 1,459 ±17 93 +44 A ›
14 A GLM 5.2provisional Zhipu AI · Open weights 1,451 ±15 90 +45 A ›
18 A MiMo-V2.5-Proprovisional Xiaomi · Open weights 1,443 ±13 87 +80 A ›
23 A GLM 5.3 Flashprovisional Zhipu AI · Open weights 1,441 ±21 84 +105◆ A ›
24 A Kimi K2.6provisional Moonshot AI · Open weights 1,437 ±16 83 +44 A ›
28 A GLM 5.1provisional Zhipu AI · Open weights 1,432 ±13 80 +36 A ›
29 B GLM 5provisional Zhipu AI · Open weights 1,432 ±17 79 +23 A ›
35 B Kimi K2.5provisional Moonshot AI · Open weights 1,427 ±12 75 +36 A ›
43 B Inklingprovisional Thinking Machines Lab · Open weights 1,419 ±16 69 +27 A ›
46 B GLM 4.6provisional Zhipu AI · Open weights 1,416 ±17 67 +26 A ›
51 B Qwen3.8 27Bprovisional Alibaba · Open weights 1,412 ±23 63 +46 A ›
54 B Qwen3 VL 235B A22B Instructprovisional Alibaba · Open weights 1,409 ±23 61 +27 A ›
57 B Qwen3.5 397B A17Bprovisional Alibaba · Open weights 1,406 ±12 58 +27 A ›
58 B DeepSeek V4 Flash 0423provisional DeepSeek · Open weights 1,406 ±15 58 +71 A ›
62 B GLM 4.5provisional Zhipu AI · Open weights 1,404 ±17 55 +18 A ›
65 B MiniMax M3provisional MiniMax · Open weights 1,401 ±14 53 +50 A ›
71 C MiMo-V2.5provisional Xiaomi · Open weights 1,393 ±15 48 +75 A ›
72 C Qwen3 Next 80B A3B Instructprovisional Alibaba · Open weights 1,391 ±19 47 +32 A ›
75 C MiMo-V2-Flashprovisional Xiaomi · Open weights 1,388 ±15 45 +55◆ A ›
77 C Qwen3.5-27Bprovisional Alibaba · Open weights 1,386 ±20 44 +14 A ›
78 C Inkling Smallprovisional Thinking Machines Lab · Open weights 1,385 ±19 43 +38 A ›
80 C Qwen3.5-35B-A3Bprovisional Alibaba · Open weights 1,384 ±19 42 +11 A ›
82 C Step 3.5 Flashprovisional StepFun · Open weights 1,384 ±13 40 +50 A ›
83 C Qwen3.5-122B-A10Bprovisional Alibaba · Open weights 1,382 ±19 39 +14 A ›
88 C DeepSeek V3.1provisional DeepSeek · Open weights 1,370 ±22 36 +19 A ›
89 C Qwen3 30B A3B Instruct 2507provisional Alibaba · Open weights 1,369 ±17 35 +25 A ›
92 C Kimi K2 0711provisional Moonshot AI · Open weights 1,360 ±24 33 -22 A ›
94 C MiniMax M2.7provisional MiniMax · Open weights 1,358 ±12 31 +32 A ›
96 C GLM 4.5 Airprovisional Zhipu AI · Open weights 1,352 ±16 30 -2 A ›
98 C Qwen3 Coder 480B A35Bprovisional Alibaba · Open weights 1,351 ±18 28 -22 A ›
99 C Qwen3 Next 80B A3B Thinkingprovisional Alibaba · Open weights 1,350 ±22 27 -10 A ›
100 C Trinity Large Thinkingprovisional Arcee AI · Open weights 1,350 ±18 27 -30 A ›
105 D gpt-oss-120bprovisional OpenAI · Open weights 1,335 ±17 23 -2 A ›
106 D MiniMax M1provisional MiniMax · Open weights 1,321 ±17 22 -36 A ›
107 D Qwen3 30B A3Bprovisional Alibaba · Open weights 1,319 ±19 22 -29 A ›
108 D Mistral Small 3.2provisional Mistral AI · Open weights 1,317 ±22 21 -14 A ›
110 D gemma-3n-e4b-itprovisional Google · Open weights 1,317 ±18 19 — A ›
111 D MiniMax M2.5provisional MiniMax · Open weights 1,300 ±17 18 +9 A ›
124 D mixtral-8x22b-instruct-v0.1provisional Mistral AI · Open weights 1,176 ±15 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.