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ISEGORIABenjamin Haire

Software engineering · September 2026

Choose the model for the shape of the work.

I compared Claude Opus 5, Claude Fable 5, and every GPT-5.6 tier and effort level, without pretending vendor benchmarks form a complete league table.

Measured evidence

Published Coding Agent Index

These are the high-end configurations reported in OpenAI's shared Artificial Analysis table. I have no measured figure for Opus 5: it was not included.

GPT-5.6 Sol80.0
GPT-5.6 Terra77.4
Claude Fable 577.2
GPT-5.576.4
GPT-5.6 Luna74.6

Operating guide

Reasoning effort changes the job profile.

low

Small fixes and scoped subagent leaves.

medium

Routine features and test repair.

high

Ambiguous bugs and multi-file work.

xhigh

Large migrations and deep verification.

max

Deepest single-agent reasoning.

ultra

Parallel research, implementation, and audit.

Sol and Terra support Ultra in the current Codex lineup. Luna, Opus 5, and Fable 5 stop at max.

Ultra under the microscope

More agents change the topology.

OpenAI reports Sol rising from 88.8% at max to 91.9% at Ultra on Terminal-Bench 2.1: a 3.1 percentage-point improvement.

88.8%Sol max+3.1 pp91.9%Sol Ultra

I use Ultra when branches can proceed independently and one integrator owns interfaces, conflicts, and final proof. I stay on max for tightly coupled hotspots.

Routing guide

Where I would start

Fast loopLuna medium
Daily defaultTerra high
Hardest workSol max
Large projectFable high / xhigh
Download the six-page report

Primary sources

OpenAI GPT-5.6 · Anthropic Fable 5 · Anthropic Opus 5