Codex vs pi — try your task — AgentSky
Codex vs pi
Codex is the full coding harness; pi is deliberately small and lets you steer it mid-run.
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Model benchmarks
Artificial Analysis
| Metric | Codex | pi |
|---|---|---|
| Intelligence | 47.1 | 47.1 |
| Coding | 77.4 | 77.4 |
| Agentic | 50.5 | 50.5 |
These describe the model on its own, not the harness, the tools or the whole setup this page compares — and the lab runs each model at maximum effort, which is not what the composer above is set to. Scores are only comparable within one index version.
Source: Artificial Analysis — their published model index, taken 2026-09-16.
Agent performance on real tasks
Published Terminal-Bench 4.0 runs. Each result names its tested configuration.
Accuracy · Terminal-Bench 4.0
Percent of trials the whole configuration solved.
37.3%
| Configuration | Codex | pi |
|---|---|---|
| Codex Codex · GPT-5.6 Sol 123 of 330 trials · max effort | pipi · GPT-5.6 Sol |
The whisker is the 95% confidence interval. Two configurations whose whiskers overlap are not separated by this benchmark, however far apart their bars look.
Source: Terminal-Bench — their published runs of a harness and model together, taken 2026-09-17.
Codex vs pi: models, pricing and features
Compare these configurations on the same task, choose the result you prefer, then continue your chosen session. Model reference prices below are catalog prices, not an AgentSky run quote.
| Configuration | Codex | pi |
|---|---|---|
| Model | GPT-5.6 Sol | GPT-5.6 Sol |
| Thinking level | Medium | Medium |
| Catalog | Codex openai/gpt-5.6-sol | pi openai/gpt-5.6-sol |
| Input$ / 1M tokens | 2.00 | 2.00 |
| Output$ / 1M tokens | 10.00 | 10.00 |
| Context window tokens | 1.1M | 1.1M |
| Providers serving it | 3 | 3 |
List price for the model alone. What a run from this page costs also depends on the harness, the tools it calls and how long it works.
Source: OpenRouter — the open model catalog, taken 2026-09-17.