GPT-5.6 Saves Tokens, Boosts Performance in Coding Agents
drdanielbender · x · 2026-07-17
GPT-5.6's Sol / Terra / Luna achieved top three on WolfBench.
The most interesting part is "agents change the economics":
- With the same model, Codex used significantly fewer tokens but got higher scores
- Comparison: Codex used 51% fewer tokens than Hermes, scoring 2.25 points higher
- Another comparison: GPT-5.6 with Codex vs GPT-5.5:
- Score improved by 8.09 points
- Token usage reduced by 20%
- Cost roughly halved
- However, with Hermes, GPT-5.6 became more expensive, showing that different agents/workflows significantly affect the same model's real-world economics
The core is not just "stronger model" but that coding agents change the cost-performance curve of the same model.
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