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GPT 5.6 is far more token efficient at most tasks with similar performance. Especially so for Opus 4.8, still to be seen with Opus 5. Where are you getting che
by adam_arthur 2mo ago
GPT 5.6 is far more token efficient at most tasks with similar performance. Especially so for Opus 4.8, still to be seen with Opus 5.
Where are you getting cheaper per dollar?
- ActivePattern 2mo agoHow are you supporting the claim that GPT 5.6 is "far more token efficient" than Opus 5? Tokens equal, output is cheaper for Opus 5 ($25/1M) than GPT-5.6-Sol ($30/1M), and it seems to outperform slightly on agentic coding benchmarks.
- adam_arthur 2mo agoThe first chart in the blog post shows a similar $/performance curve to GPT 5.6. Where 5.6 has optionality to run much cheaper along the same performance curve at lower thinking levels. There's a later chart that shows Opus 5 ahead, but seems like an esoteric benchmark rather than for common use. (Novel problem solving) If they had a more efficient model at coding they would lead with that chart.
- km144 2mo agoHere is one data point for cost: https://artificialanalysis.ai/models?cost=intelligence-vs-cost-per-task&model-filters=large-models%2Cproprietary%2Creasoning-models#cost-tabs https://artificialanalysis.ai/models?cost=intelligence-vs-co... Here is another data point for output token efficiency: https://artificialanalysis.ai/models?cost=intelligence-vs-cost-per-task&model-filters=large-models%2Cproprietary%2Creasoning-models&intelligence-index-token-use=intelligence-vs-output-tokens-per-task#intelligence-index-token-use-tabs https://artificialanalysis.ai/models?cost=intelligence-vs-co...
- HarHarVeryFunny 2mo agoToken cost and token efficiency are two unrelated metrics, and anyways what really matters is neither in isolation - it's cost to complete a task.
- conradkay 2mo agohttps://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-cdn.anthropic.com%2Fimages%2F4zrzovbb%2Fwebsite%2F08499ed7c3c2b6416700fa47c70d36dff5eb8461-3840x2160.png&w=3840&q=75 https://www.anthropic.com/_next/image?url=https%3A%2F%2Fwww-... It seems roughly equal according to Anthropic's benchmarks