| ▲ | wxw 25 minutes ago | |
They need to release benchmarks against Luna/Terra. Luna is much cheaper which feels like it undercuts the need for Flash. I've always considered the Flash series of models to be for low-cost, high-volume, mostly text-based use cases (e.g. summarization, parsing, formatting), emphasis on low-cost. [edit: ah, benchmarks here: https://blog.google/innovation-and-ai/models-and-research/ge... more of a Terra than Luna competitor which is an interesting positioning. I feel like differentiation at the mid-tier of models is pretty difficult.] | ||
| ▲ | andai 5 minutes ago | parent | next [-] | |
Matched roughly with Sol on DeepSwe cost per task. Luna way cheaper. DeepSeek used to be, but I think it's somewhere on Sol's curve after the price hike. | ||
| ▲ | peab 14 minutes ago | parent | prev | next [-] | |
gemini flash is probably the best model for visual tasks right now. they also make it really easy to ingest videos | ||
| ▲ | timdorr 23 minutes ago | parent | prev [-] | |
They compared against 5.6-terra on the model card: https://deepmind.google/models/model-cards/gemini-3-7-flash/ | ||