Benchmarks are so gamed, even Chatbot Arena is kinda iffy. TBH you have to test them with your prompts yourself.
Honestly I am getting incredible/creative responses from Deepseek R1, the hype is real, though its frequently overloaded. Tencent’s API is a bit under-rated. If llama 3.3 70B is smart enough for you, Cerebras API is super fast.
Qwen Max is… not bad? The reasoning models kinda spoiled me, but I think they have more reasoning releases coming.
MiniMax is ok for long context, but I still tend to lean on Gemini for this.
I dunno about Claude these days, as its just so expensive. I haven’t touched OpenAI in a long time.
Oh, and sometimes “weird” finetunes you can find on OpenRouter or whatever will serve niches much better than “big” API models.
EDIT:
Locally, I used to hop around, but now I pretty much always run a Qwen 32B finetune. Either coder, Arcee Distill, FuseAI, R1, EVA-Gutenberg, or Openbuddy, usually.
So there is not any trustworthy benchmarks I can currently use to evaluate? That in combination with my personal anecdotes is how I have been evaluating them.
I was pretty impressed with Deepseek R1.
I used their app, but not for anything sensitive.
I don’t like that OpenAI defaults to a model I can’t pick. I have to select it each time, even when I use a special URL it will change after the first request
I am having a hard time deciding which models to use besides a random mix between o3-mini-high, o1, Sonnet 3.5 and Gemini 2 Flash
Heh, only obscure ones that they can’t game, and only if they fit your use case. One example is the ones in EQ bench: https://eqbench.com/
…And again, the best mix of models depends on your use case.
I can suggest using something like Open Web UI with APIs instead of native apps. It gives you a lot more control, more powerful tooling to work with, and the ability to easily select and switch between models.
Benchmarks are so gamed, even Chatbot Arena is kinda iffy. TBH you have to test them with your prompts yourself.
Honestly I am getting incredible/creative responses from Deepseek R1, the hype is real, though its frequently overloaded. Tencent’s API is a bit under-rated. If llama 3.3 70B is smart enough for you, Cerebras API is super fast.
Qwen Max is… not bad? The reasoning models kinda spoiled me, but I think they have more reasoning releases coming.
MiniMax is ok for long context, but I still tend to lean on Gemini for this.
I dunno about Claude these days, as its just so expensive. I haven’t touched OpenAI in a long time.
Oh, and sometimes “weird” finetunes you can find on OpenRouter or whatever will serve niches much better than “big” API models.
EDIT:
Locally, I used to hop around, but now I pretty much always run a Qwen 32B finetune. Either coder, Arcee Distill, FuseAI, R1, EVA-Gutenberg, or Openbuddy, usually.
What are the local use cases? I’m running on a 3060ti but output is always inferior to the free tier of the various providers.
Can I justify an upgrade to a 4090 (or more)?
So there is not any trustworthy benchmarks I can currently use to evaluate? That in combination with my personal anecdotes is how I have been evaluating them.
I was pretty impressed with Deepseek R1. I used their app, but not for anything sensitive.
I don’t like that OpenAI defaults to a model I can’t pick. I have to select it each time, even when I use a special URL it will change after the first request
I am having a hard time deciding which models to use besides a random mix between o3-mini-high, o1, Sonnet 3.5 and Gemini 2 Flash
Heh, only obscure ones that they can’t game, and only if they fit your use case. One example is the ones in EQ bench: https://eqbench.com/
…And again, the best mix of models depends on your use case.
I can suggest using something like Open Web UI with APIs instead of native apps. It gives you a lot more control, more powerful tooling to work with, and the ability to easily select and switch between models.