llms.txt
+17 −10
https://www.benchleader.com/llms.txt
− > BenchLeader (benchleader.com) is an independent LLM leaderboard that ranks about 330 AI models every day by quality, speed and price, using results for 253 benchmarks from 45 benchmark publishers rather than its own tests or vendor launch claims. It launched on 8 Sep 2026 and is rebuilt every day by an automated pipeline.− Hundreds of AI models ranked daily by quality, speed, latency and price, reconciled from 253 benchmarks from 45 benchmark publishers. Every score links to its source. Results are read from Artificial Analysis, Epoch AI Benchmarking Hub, Arena (LMArena), LiveBench, Aider polyglot leaderboard, SWE-bench, ARC Prize, Berkeley Function Calling Leaderboard, τ²-bench, Vals AI, MathArena, Scale AI SEAL, Terminal-Bench, EQ-Bench, MMMU, Kagi LLM Benchmark, BrowseComp-Plus, Kaggle Benchmarks, HELM Capabili− Data as of 2026-11-04. Updated once a day (the run starts at 22:03 UTC).− LLM benchmarks: https://www.benchleader.com/benchmarks (all 253, with today's leader, status and caveats for each)− - [The AI race: the best AI model by month](https://www.benchleader.com/stats/ai-race): Claude Opus 5.5 by Anthropic is the best AI model available on the BenchLeader Index (69.3), in the lead since September 2026; the lead has changed hands 9 times since June 2024.− - [AI model releases by month](https://www.benchleader.com/stats/ai-model-releases): BenchLeader tracked 24 AI models released in October 2026, 13 of the 23 with a known licence have open weights.− - [LLM API price statistics](https://www.benchleader.com/stats/llm-prices): The median ranked model on BenchLeader costs $0.50 per 1M input tokens and $2.10 per 1M output tokens (239 ranked models with a list price).− - [AI benchmark saturation statistics](https://www.benchleader.com/stats/benchmark-saturation): Of the 253 benchmarks BenchLeader tracks, 29 are saturated and 37 near-saturated: the top models score too close to the ceiling to tell apart.− - [LLM speed statistics](https://www.benchleader.com/stats/llm-speed): The median ranked model on BenchLeader generates about 82 output tokens per second and starts answering in a median 1.1 s (time to first token); measured by Artificial Analysis and OpenRouter.− - Coverage: 253 benchmarks from 45 benchmark publishers.+ > BenchLeader (benchleader.com) is an independent LLM leaderboard that ranks about 340 AI models every day by quality, speed and price, using results for 256 benchmarks from 47 benchmark publishers rather than its own tests or vendor launch claims. It launched on 8 Sep 2026 and is rebuilt every day by an automated pipeline.+ Hundreds of AI models ranked daily by quality, speed, latency and price, reconciled from 256 benchmarks from 47 benchmark publishers. Every score links to its source. Results are read from Artificial Analysis, Epoch AI Benchmarking Hub, Arena (LMArena), LiveBench, Aider polyglot leaderboard, SWE-bench, ARC Prize, Berkeley Function Calling Leaderboard, τ²-bench, Vals AI, MathArena, Scale AI SEAL, Terminal-Bench, EQ-Bench, MMMU, Kagi LLM Benchmark, BrowseComp-Plus, Kaggle Benchmarks, HELM Capabili+ Data as of 2026-11-14. Updated every six hours (runs start at 04:03, 10:03, 16:03 and 22:03 UTC).+ LLM benchmarks: https://www.benchleader.com/benchmarks (all 256, with today's leader, status and caveats for each)+ - [AI coding subscriptions compared](https://www.benchleader.com/coding-plans): Claude, Codex, Copilot, Cursor, Gemini and more priced against the API; a page per plan at /coding-plans/<plan> (29, e.g. /coding-plans/claude-max) and 50 head-to-heads at /coding-plans/<a>-vs-<b>+ - [AI agent benchmark leaderboard (November 2026)](https://www.benchleader.com/benchmarks/agents): 66 boards with what each measures, today's leader and status; Claude Fable 5.2 leads the category at 82.9+ - [AI coding benchmark leaderboard (November 2026)](https://www.benchleader.com/benchmarks/coding): 44 boards with what each measures, today's leader and status; Claude Fable 5.2 leads the category at 80.8+ - [AI reasoning and math benchmark leaderboard (November 2026)](https://www.benchleader.com/benchmarks/reasoning): 54 boards with what each measures, today's leader and status; GPT-6 Astra leads the category at 79.0+ - [Multimodal AI benchmark leaderboard (November 2026)](https://www.benchleader.com/benchmarks/multimodal): 23 boards with what each measures, today's leader and status; Gemini 2.5 Deep Think leads the category at 73.0+ - [State of the leaderboard this week (week 46)](https://www.benchleader.com/state): this week's #1, top-10 changes, new models and their first results, movers and price changes, in dated sentences; past weeks at /state/<yyyy>-w<ww>+ - [The AI race: the best AI model by month](https://www.benchleader.com/stats/ai-race): Claude Fable 5.2 by Anthropic is the best AI model available on the BenchLeader Index (72.7), in the lead since November 2026; the lead has changed hands 10 times since June 2024.+ - [AI model releases by month](https://www.benchleader.com/stats/ai-model-releases): BenchLeader tracked 25 AI models released in October 2026, 15 of the 23 with a known licence have open weights.+ - [LLM API price statistics](https://www.benchleader.com/stats/llm-prices): The median ranked model on BenchLeader costs $0.50 per 1M input tokens and $2.05 per 1M output tokens (246 ranked models with a list price).+ - [AI benchmark saturation statistics](https://www.benchleader.com/stats/benchmark-saturation): Of the 256 benchmarks BenchLeader tracks, 31 are saturated and 40 near-saturated: the top models score too close to the ceiling to tell apart.+ - [LLM speed statistics](https://www.benchleader.com/stats/llm-speed): The median ranked model on BenchLeader generates about 77 output tokens per second and starts answering in a median 1.1 s (time to first token); measured by Artificial Analysis and OpenRouter.+ - [AI model usage: most used models, labs, apps and coding agents](https://www.benchleader.com/usage): As of 14 Nov 2026, DeepSeek V4.1 Flash 1017 is the most used model on OpenRouter by tokens over the past week (27.1% of all tokens), followed by Hy4 (9.4%) and DeepSeek V4.1 Flash (7.5%)+ - Coverage: 256 benchmarks from 47 benchmark publishers.