MathArena evaluates large language models on uncontaminated math benchmarks. It presents model analysis across competitions such as ArXivLean, BrokenArXiv, ArXivMath, Visual Math, Final-Answer Comps, Proof-Based Comps and Project Euler. A competition is selected to load tables and a leaderboard, and clicking a cell shows the raw model output.
LLM pricing calculator is a web page for estimating model costs per million tokens. It takes input, cached input and output token counts and reports cost per million input tokens, per million cached input tokens and per million output tokens. It notes that direct token-based price comparisons may not be entirely accurate because different models use different tokenizers.
EQ-Bench 4 is a benchmark that measures active emotional and social intelligence abilities in multiturn conversations. It uses 120 personas with assigned traits, including adversarial ones, in roleplay chats played by Gemini 3.1 Pro Preview. Transcripts are assessed by three judges to produce a ranked Elo score.
LifeArchitect.ai hosts a Models Table of large language model data, including parameters, tokens trained, and benchmark scores such as MMLU, MMLU-Pro, GPQA and HLE. The page also presents rankings, a data dictionary and visualization snapshots of frontier models.
Hermes Agent is an open-source, self-hosted AI agent by Nous Research. It is available as a terminal app and as Hermes Desktop for macOS, Windows and Linux, with persistent memory and a messaging gateway for platforms such as Telegram, Discord, Slack, WhatsApp, Signal and email. It is free under the MIT license.
RankedAGI is a website that compares benchmarks across different AI models. It features benchmarks such as SWE Bench Verified, Codeforces, LMSYS and LiveBench, and presents a ranked table of models with size, version, release date, context length, cutoff knowledge, license and organization.
LM Council presents source-dated benchmark snapshots for AI models. It covers GPT, Claude, Gemini and other frontier models across benchmarks including Humanity's Last Exam, FrontierMath, GPQA and SWE-bench, with a comparison tool selecting two models. Each snapshot links its source and checked date, and evaluation settings and metrics vary.
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LLM pricing calculator is a web page for estimating model costs per million tokens. It takes input, cached input and output token counts and reports cost per million input tokens, per million cached input tokens and per million output tokens. It notes that direct token-based price comparisons may not be entirely accurate because different models use different tokenizers.
EQ-Bench 4 is a benchmark that measures active emotional and social intelligence abilities in multiturn conversations. It uses 120 personas with assigned traits, including adversarial ones, in roleplay chats played by Gemini 3.1 Pro Preview. Transcripts are assessed by three judges to produce a ranked Elo score.
LifeArchitect.ai hosts a Models Table of large language model data, including parameters, tokens trained, and benchmark scores such as MMLU, MMLU-Pro, GPQA and HLE. The page also presents rankings, a data dictionary and visualization snapshots of frontier models.
Hermes Agent is an open-source, self-hosted AI agent by Nous Research. It is available as a terminal app and as Hermes Desktop for macOS, Windows and Linux, with persistent memory and a messaging gateway for platforms such as Telegram, Discord, Slack, WhatsApp, Signal and email. It is free under the MIT license.
RankedAGI is a website that compares benchmarks across different AI models. It features benchmarks such as SWE Bench Verified, Codeforces, LMSYS and LiveBench, and presents a ranked table of models with size, version, release date, context length, cutoff knowledge, license and organization.
LM Council presents source-dated benchmark snapshots for AI models. It covers GPT, Claude, Gemini and other frontier models across benchmarks including Humanity's Last Exam, FrontierMath, GPQA and SWE-bench, with a comparison tool selecting two models. Each snapshot links its source and checked date, and evaluation settings and metrics vary.
