Pelicans. Sonnet 5.5 has the same problem as Opus 5.5: on "max" thinking effort it burned through 128,000 thinking tokens (taking 15 minutes to do that) and ran out before it had produced the final SVG.
The contrast between Anthropic, who seem to be training their models to output ever-increasing numbers of reasoning tokens, and Fireworks's Ember-1, which was explicitly trained to preserve the quality of a model's responses while cutting down on reasoning, is interesting. Claude Code also uses more many tokens per task per model than any other harness in benchmarks.
Anthropic's "Max" modes seem like a yolo mode: "use 10x the tokens to try to break the hardest possible problems". But their models don't seem less efficient at normal reasoning modes.
I can't see Ember on AA's index yet, but their post claims "half the reasoning tokens for the same answers" as Kimi K3.
That would make it about so, I assume?
Score Tokens Reason Cost
Kimi K3 Max 44 48k 32k $2.00
Half reason 44 32k ? 16k ? ?
Opus Med 51 26k 12k $1.34
Opus High 54 36k 18k $1.82
Opus Max 58 119k 84k $5.98
Sonnet Med 41 ? ? $0.59
Sonnet High 47 ? ? $1.08
Sonnet Max 56 193k 142k $7.60
Medium is Anthropic's default.
Having a less efficient mode isn't necessarily a mistake -- the purpose of configurable effort levels after all is to be able to put more thought into a problem.
simonw · · focus · HN ↗
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Here's how the thinking effort levels compare:
Low and medium both used 0 thinking tokens.platinumrad · · focus · HN ↗
[deleted] · · focus · HN ↗
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usef- · · focus · HN ↗
I can't see Ember on AA's index yet, but their post claims "half the reasoning tokens for the same answers" as Kimi K3.
That would make it about so, I assume?
Medium is Anthropic's default.Having a less efficient mode isn't necessarily a mistake -- the purpose of configurable effort levels after all is to be able to put more thought into a problem.