4 ms·

The prompt was released, but not the cost of the result.

by emil-lp 3mo ago

riknos314 3mo ago
Assuming all 64 subagents were running for a full hour (the tweet states just under an hour): Throughput Output tokens Output cost ---------------------------- ------------- ----------- 40 tok/s (5.5 low) ~9.2M ~$275 55 tok/s (5.5 base) ~12.7M ~$380 70 tok/s (5.5 high) ~16.1M ~$485 750 tok/s (Sol Fast, $75/M) ~172.8M ~$13,000 Claude estimates that tool use / input tokens might add 10-15% on top of that depending on exactly how the model went about the task. Edit: better tok/s estimate buckets based on GPT 5.5 actual speeds since I couldn't find real benchmarks on 5.6 published anywhere. Also account for Sol Fast pricing.
- conradkay 3mo ago
  Sol fast isn't the Cerebras 750 tok/s version, it's just 1.5x speed at 2.5x price I assume they didn't use the Cerebras version for this since it's probably very supply-constrained right now
  - throw1234567891 3mo ago
    But Sol is running on Cerebras. That’s the whole point of this. That’s how they get 750 tokens per second. There is no other way.
    - Anuiran 3mo ago
      Regular Sol does not run on Cerebra’s. I don’t think anyone public has access to that. https://x.com/thsottiaux/status/2075596669958472146?s=46&t=Z63pc8n9_5mIhTJJzzSOTA https://x.com/thsottiaux/status/2075596669958472146?s=46&t=Z...
      - judge2020 3mo ago
        Yeah they posted an update below it > apparently that is just Sol being Sol on fast mode, not 750 tps. :x O.o > This is real and it is not 750 TPS. Anyone with 5.6 Sol Ultra on fast mode can reproduce this! It’s all GUI interactions with CUA. No MCP or bpy needed. https://x.com/kimmonismus/status/2075493505011482922?s=20 https://x.com/kimmonismus/status/2075493505011482922?s=20
        throw1234567891 3mo ago
        Who’s they, who’s chubby, why would I care.
- deleted 3mo ago
  [deleted]
therobots927 3mo ago
And not how many times it was prompted before it returned a working solution. Or how many prior variants of this prompt were tried. Or if proof checking software was used to hone in on the final winning prompt / LLM output.

The prompt was released, but not the cost of the result.

by emil-lp 3mo ago

The prompt was released, but not the cost of the result.

Assuming all 64 subagents were running for a full hour (the tweet states just under an hour): Throughput Output tokens Output cost ---------------------------- ------------- ----------- 40 tok/s (5.5 low) ~9.2M ~$275 55 tok/s (5.5 base) ~12.7M ~$380 70 tok/s (5.5 high) ~16.1M ~$485 750 tok/s (Sol Fast, $75/M) ~172.8M ~$13,000 Claude estimates that tool use / input tokens might add 10-15% on top of that depending on exactly how the model went about the task. Edit: better tok/s estimate buckets based on GPT 5.5 actual speeds since I couldn't find real benchmarks on 5.6 published anywhere. Also account for Sol Fast pricing.

conradkay 3mo ago
Sol fast isn't the Cerebras 750 tok/s version, it's just 1.5x speed at 2.5x price I assume they didn't use the Cerebras version for this since it's probably very supply-constrained right now
- throw1234567891 3mo ago
  But Sol is running on Cerebras. That’s the whole point of this. That’s how they get 750 tokens per second. There is no other way.
  - Anuiran 3mo ago
    Regular Sol does not run on Cerebra’s. I don’t think anyone public has access to that. https://x.com/thsottiaux/status/2075596669958472146?s=46&t=Z63pc8n9_5mIhTJJzzSOTA https://x.com/thsottiaux/status/2075596669958472146?s=46&t=Z...
    - judge2020 3mo ago
      Yeah they posted an update below it > apparently that is just Sol being Sol on fast mode, not 750 tps. :x O.o > This is real and it is not 750 TPS. Anyone with 5.6 Sol Ultra on fast mode can reproduce this! It’s all GUI interactions with CUA. No MCP or bpy needed. https://x.com/kimmonismus/status/2075493505011482922?s=20 https://x.com/kimmonismus/status/2075493505011482922?s=20
      - throw1234567891 3mo ago
        Who’s they, who’s chubby, why would I care.
deleted 3mo ago
[deleted]

therobots927 3mo ago

And not how many times it was prompted before it returned a working solution. Or how many prior variants of this prompt were tried. Or if proof checking software was used to hone in on the final winning prompt / LLM output.