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

> Source: <https://www.llmverifications.com/>
> Published: 2026-10-27 18:25:14+00:00

## 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