Interesting that Claude 3 Sonnet is ahead of Mistral Large and Gemini 1.0 Pro with some margin in LMSYS Arena, this implies significant advancement in tuning after the Claude 2 tuning disaster (where it consistently ranked below Claude 1 and possibly inspired Goody 2). Still, LMSYS respondents only prefer Opus to the initial GPT 4 releases, not to GPT 4 Turbo, so OpenAI's tuning advancements are probably stronger still, if GPT 4 Turbo is not built on a slightly stronger base model different from original GPT 4.
I've just created a NYT Connections benchmark. 267 puzzles, 3 prompts for each, uppercase and lowercase.
Results:
GPT-4 Turbo: 31.0
Claude 3 Opus: 27.3
Mistral Large: 17.7
Mistral Medium: 15.3
Gemini Pro: 14.2
Qwen 1.5 72B Chat: 10.7
Claude 3 Sonnet: 7.6
GPT-3.5 Turbo: 4.2
Mixtral 8x7B Instruct: 4.2
Llama 2 70B Chat: 3.5
Nous Hermes 2 Yi 34B: 1.5
- Partial credit is given if the puzzle is not fully solved
- There is only one attempt allowed per puzzle, 0-shot. Humans get 4 attempts and a hint when they are one step away from solving a group
- Gemini Advanced is
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