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NOnotenchange2 hours ago
I’m trying to do some GPU unlocking work with some oldish mining cards (NVIDIA CMP 170HX 10G) to fully unlock them to be used in LLMs, and Sol 6.1 keeps refusing to do the work on the basis of “cyber concerns”. It’s highly frustrating. Sonnet 5.5 is even worst.
Luna 6.1 is fine with it, but the results aren’t good enough. I’m going to try Terra 6.1 (from the post, I should expect about the same results). And hope it doesn’t complain as much about these non existent cyber security risks that for some reason it keeps raising.
P.S. I also tried Deepseek Flash 4.1, but the results simply didn’t cut it.
P.P.S. This all investigation was a major eye opener on why we need to run local models or be forever tied to some artificial limits to AI for the masses.
MIminimaxir17 hours ago
Similar 75% price cut trajectory as GPT-5.6 Sol -> GPT-6.1 Sol. Overall, Terra is still half the price of Sol.
But like the original release of Terra, it's still a weird middle child between the small-model-that-got-substantially-better (Luna) and the large-model-that-got-significiantly-cheaper (Sol). The TerminalBench 4.0 cost-per-task results are a bit confusing and I'm not sure why you would pick Terra over Sol in that case. Overall this release seems like a flex on Sonnet 5.5: a model which is having its own middle child problems between the godly Opus 5.5 and the surprisingly capable Haiku 5.5.
SOSomeone123417 hours ago
I'm very confused about their model market position/naming schema.
First we had:
> Luna (Small), Terra (Medium), Sol (Big).
Which was fairly smooth after you got used to their planets.
But then they added Astra as the "Bigger," which was mostly still self-coherent:
> Luna (Small), Terra (Medium), Sol (Big), Astra (Bigger)
But then things go confusing, they released Sol-6.1 which sometimes is superior to Astra, and discontinued Terra which made it look like this:
> Luna (Small), Sol-6.1 == Astra
But with Sol-6.1 costing the old Terra-6.0 price, while, as I said performing as good as the old "Bigger" model in many non-3D/UI situations.
Now they're re-introduced Terra, as a 6.1 release, making this even more confusing.
Did Microsoft's chief branding officer move over to OpenAI?
ARArchit3ch17 hours ago
I rather enjoy OpenAI's focus on cost-per-task.
I'm optimistic about them tackling frontier intelligence next. Astra 6.1 please?
6T6thbit16 hours ago
GPT-6 Astra
Input:$10.00 / 1M tokens Cached input:$1.00 / 1M tokens Output:$50.00 / 1M tokens
GPT-6.1 Sol
Input:$2.00 / 1M tokens Cached input:$0.10 / 1M tokens Output:$10.00 / 1M tokens
GPT-6.1 Terra
Input:$1.00 / 1M tokens Cache read:$0.05 / 1M tokens Output:$5.00 / 1M tokens
GPT-6 Luna
Input:$0.10 / 1M tokens Cached input:$0.01 / 1M tokens Output:$0.50 / 1M tokens
That's how their pricing tiers end up now. https://openai.com/business/pricing/#api
(For some reason they say "Cache read" instead of "Cached input" for 6.1 Terra)
6.1 Astra and 6.1 Luna must be coming up soon. Will they reduce their prices further?
Comments
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I’m trying to do some GPU unlocking work with some oldish mining cards (NVIDIA CMP 170HX 10G) to fully unlock them to be used in LLMs, and Sol 6.1 keeps refusing to do the work on the basis of “cyber concerns”. It’s highly frustrating. Sonnet 5.5 is even worst. Luna 6.1 is fine with it, but the results aren’t good enough. I’m going to try Terra 6.1 (from the post, I should expect about the same results). And hope it doesn’t complain as much about these non existent cyber security risks that for some reason it keeps raising. P.S. I also tried Deepseek Flash 4.1, but the results simply didn’t cut it. P.P.S. This all investigation was a major eye opener on why we need to run local models or be forever tied to some artificial limits to AI for the masses.
Similar 75% price cut trajectory as GPT-5.6 Sol -> GPT-6.1 Sol. Overall, Terra is still half the price of Sol. But like the original release of Terra, it's still a weird middle child between the small-model-that-got-substantially-better (Luna) and the large-model-that-got-significiantly-cheaper (Sol). The TerminalBench 4.0 cost-per-task results are a bit confusing and I'm not sure why you would pick Terra over Sol in that case. Overall this release seems like a flex on Sonnet 5.5: a model which is having its own middle child problems between the godly Opus 5.5 and the surprisingly capable Haiku 5.5.
I'm very confused about their model market position/naming schema. First we had: > Luna (Small), Terra (Medium), Sol (Big). Which was fairly smooth after you got used to their planets. But then they added Astra as the "Bigger," which was mostly still self-coherent: > Luna (Small), Terra (Medium), Sol (Big), Astra (Bigger) But then things go confusing, they released Sol-6.1 which sometimes is superior to Astra, and discontinued Terra which made it look like this: > Luna (Small), Sol-6.1 == Astra But with Sol-6.1 costing the old Terra-6.0 price, while, as I said performing as good as the old "Bigger" model in many non-3D/UI situations. Now they're re-introduced Terra, as a 6.1 release, making this even more confusing. Did Microsoft's chief branding officer move over to OpenAI?
I rather enjoy OpenAI's focus on cost-per-task. I'm optimistic about them tackling frontier intelligence next. Astra 6.1 please?
GPT-6 Astra Input:$10.00 / 1M tokens Cached input:$1.00 / 1M tokens Output:$50.00 / 1M tokens GPT-6.1 Sol Input:$2.00 / 1M tokens Cached input:$0.10 / 1M tokens Output:$10.00 / 1M tokens GPT-6.1 Terra Input:$1.00 / 1M tokens Cache read:$0.05 / 1M tokens Output:$5.00 / 1M tokens GPT-6 Luna Input:$0.10 / 1M tokens Cached input:$0.01 / 1M tokens Output:$0.50 / 1M tokens That's how their pricing tiers end up now. https://openai.com/business/pricing/#api (For some reason they say "Cache read" instead of "Cached input" for 6.1 Terra) 6.1 Astra and 6.1 Luna must be coming up soon. Will they reduce their prices further?