Show HN: I found a more accurate upcoming LLM Benchmarks leaderboard

An independent LLM testing leaderboard published on Hacker News ranks Anthropic's Claude Opus 5.5 first on a verification score of 85.0, the share of 80 questions answered correctly, ahead of Google's Gemini 4 Argon at 84.8 and OpenAI's GPT-5.3-Codex and Google's Gemini 3.8 Flash, both at 82.5. The leaderboard also compares models on median output tokens per second, average billed USD with reasoning included, and median seconds to first token, and breaks scores down across Science (30 questions), Engineering (15), Medicine (11), Economics (9), Law (6) and Humanities & social science (9). The table covers 20 models from Anthropic, Google, OpenAI, SpaceXAI, Meta, Qwen, MoonshotAI and DeepSeek, with Claude Opus 5.5 marked as having no cheaper model scoring as high.

Verification score Share of 80 questions answered correctly · higher is better Google Anthropic OpenAI SpaceXAI DeepSeek Meta Qwen MoonshotAI Other labs Independent AI model testing Unbiased comparisons of the leading LLMs on accuracy, speed, latency and real cost, so you can choose the right model for your use case. Filled dots: no cheaper model scores as high · Claude Opus 5.5 has the top score Median output tokens per second · higher is better Average billed USD, reasoning included · lower is better Median seconds to the first token · lower is better Questions answered correctly in each category · categories hold 6 to 30 questions, so read single cells with care | Model | Score | Science30 questions | Engineering15 questions | Medicine11 questions | Economics9 questions | Law6 questions | Humanities & social science9 questions | |---|---|---|---|---|---|---|---| | Claude Opus 5.5 https://www.llmverifications.com/models/claude-opus-5-5 Anthropic | 85.0 | 28/30 | 12/15 | 7/11 | 8/9 | 5/6 | 8/9 | | Gemini 4 Argon https://www.llmverifications.com/models/gemini-4-argon Google | 84.8 | 25/30 | 13/14 | 7/11 | 8/9 | 6/6 | 8/9 | | GPT-5.3-Codex https://www.llmverifications.com/models/gpt-5-3-codex OpenAI | 82.5 | 28/30 | 11/15 | 7/11 | 8/9 | 4/6 | 8/9 | | Gemini 3.8 Flash https://www.llmverifications.com/models/gemini-3-8-flash Google | 82.5 | 26/30 | 12/15 | 6/11 | 8/9 | 6/6 | 8/9 | | Claude Fable 5.1 https://www.llmverifications.com/models/claude-fable-5-1 Anthropic | 81.2 | 25/30 | 13/15 | 7/11 | 7/9 | 5/6 | 8/9 | | Grok 4.7 https://www.llmverifications.com/models/grok-4-7 SpaceXAI | 80.0 | 27/30 | 11/15 | 6/11 | 8/9 | 4/6 | 8/9 | | Muse Wonder https://www.llmverifications.com/models/muse-wonder Meta | 78.8 | 26/30 | 11/15 | 5/11 | 8/9 | 4/6 | 9/9 | | Claude Sonnet 5.5 https://www.llmverifications.com/models/claude-sonnet-5-5 Anthropic | 78.8 | 24/30 | 13/15 | 7/11 | 8/9 | 3/6 | 8/9 | | Gemini 3.1 Pro Preview https://www.llmverifications.com/models/gemini-3-1-pro-preview Google | 77.5 | 26/30 | 10/15 | 7/11 | 8/9 | 3/6 | 8/9 | | Muse Spark Open https://www.llmverifications.com/models/muse-spark-open Meta | 77.5 | 25/30 | 11/15 | 6/11 | 8/9 | 4/6 | 8/9 | | Kimi K3.1 Pro https://www.llmverifications.com/models/kimi-k3-1-pro MoonshotAI | 77.5 | 26/30 | 11/15 | 6/11 | 8/9 | 3/6 | 8/9 | | GPT-6 Astra https://www.llmverifications.com/models/gpt-6-astra OpenAI | 76.2 | 26/30 | 10/15 | 6/11 | 8/9 | 3/6 | 8/9 | | GPT-6.1 Terra Pro https://www.llmverifications.com/models/gpt-6-1-terra-pro OpenAI | 76.2 | 26/30 | 10/15 | 6/11 | 8/9 | 3/6 | 8/9 | | GPT-6.1 Sol https://www.llmverifications.com/models/gpt-6-1-sol OpenAI | 76.2 | 27/30 | 10/15 | 5/11 | 8/9 | 3/6 | 8/9 | | GPT-5.6 Terra https://www.llmverifications.com/models/gpt-5-6-terra OpenAI | 75.0 | 26/30 | 11/15 | 4/11 | 7/9 | 4/6 | 8/9 | | Gemini 3.5 Flash Lite https://www.llmverifications.com/models/gemini-3-5-flash-lite Google | 75.0 | 23/30 | 10/15 | 7/11 | 7/9 | 4/6 | 9/9 | | Qwen3.8 Max 0902 https://www.llmverifications.com/models/qwen3-8-max-0902 Qwen | 75.0 | 24/30 | 9/15 | 6/11 | 8/9 | 4/6 | 9/9 | | GPT-6.1 Terra https://www.llmverifications.com/models/gpt-6-1-terra OpenAI | 73.8 | 26/30 | 9/15 | 6/11 | 7/9 | 3/6 | 8/9 | | DeepSeek V4.1 Flash 1017 https://www.llmverifications.com/models/deepseek-v4-1-flash-1017 DeepSeek | 73.8 | 26/30 | 9/15 | 4/11 | 7/9 | 4/6 | 9/9 | | GPT-6 Sol https://www.llmverifications.com/models/gpt-6-sol OpenAI | 73.8 | 27/30 | 8/15 | 5/11 | 7/9 | 4/6 | 8/9 | Computed from this run by the rule in each label