E.g. Hybrid architecture. Local model gathers more data, runs tests, does simple fixes, but frequently asks the stronger model to do the real job.
Local model gathers data using tools and sends more data to the stronger model.
It
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E.g. Hybrid architecture. Local model gathers more data, runs tests, does simple fixes, but frequently asks the stronger model to do the real job.
Local model gathers data using tools and sends more data to the stronger model.
It
Earlier quoted context omitted.
gpt-oss:20b is ~14GB on disk [1] so fits nicely within a 16GB VRAM card. [1] https://ollama.com/library/gpt-oss
thanks, this part is clear to me. but I need to understand 20 x 1k token throughput I assume it just might be too early to know the answer
Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b $0.15M in / $0.6-0.75M out edit: Now Cerebras too at 3,815 tps for $0.25M / $0.69M out.
LLMs are getting cheaper much faster than I anticipated. I'm curious if it's still the hype cycle and Groq/Fireworks/Cerebras are taking a loss here, or whether things are actually getting cheaper. At this we'll be able to run Qwen3-32B level models in phones/embedded soon.
I would understand it, if there was some technology lock-in. But with LLMs, there is no such thing. One can switch out LLMs without any friction.
Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b $0.15M in / $0.6-0.75M out edit: Now Cerebras too at 3,815 tps for $0.25M / $0.69M out.
Wow this was actually blazing fast. I prompted "how can the 45th and 47th presidents of america share the same parents?" On ChatGPT.com o3 thought for for 13 seconds, on OpenRouter GPT OSS 120B thought for 0.7 seconds - and they both had the correct answer.
I am not kidding but such progress from a technological point of view is just fascinating!
Looks like Groq (at 1k+ tokens/second) and Fireworks are already live on openrouter: https://openrouter.ai/openai/gpt-oss-120b $0.15M in / $0.6-0.75M out edit: Now Cerebras too at 3,815 tps for $0.25M / $0.69M out.
Non-rhetorically, why would someone pay for o3 api now that I can get this open model from openai served for cheaper? Interesting dynamic... will they drop o3 pricing next week (which is 10-20x the cost[1])? [1] currently $3M in/ $8M out https://platform.openai.com/docs/pricing
So this confirms a best-in-class model release within the next few days? From a strategic perspective, I can't think of any reason they'd release this unless they were about to announce something which totally eclipses it?