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OpenAIOpenAI
INDUSTRY REPORTOpenAI2026-07-10

OpenAI's Codex (Sol 5.6) Outperforms Anthropic's Claude Code (Fable 5) by 2.2x in Coding Task Benchmark

Key Takeaways

  • ▸Sol 5.6 on $20 Codex completes 2.2x more average tasks than Fable 5 on $20 ClaudeCode at identical price points
  • ▸Real usage measurements show Codex delivering approximately 1,146 mid-complexity coding tasks per month at the $20 tier
  • ▸Independent comparison tool provides measured value data across all major coding agent platforms for direct developer evaluation
Source:
Hacker Newshttps://devforth.io/agents-for-code/↗

Summary

A detailed comparison of coding agent plans reveals that OpenAI's Codex platform using the Sol 5.6 model completes 2.2x more average coding tasks than Anthropic's Claude Code platform using the Fable 5 model when both are priced at the $20 monthly tier. The analysis, based on observed real usage data rather than marketing claims, measures practical value across leading coding agent platforms including Codex, Claude Code, GitHub Copilot, and Google Antigravity. At the $20 price point, Sol 5.6 on Codex achieves approximately 1,146 mid-complexity tasks within a 5-hour window and $128 in monthly value over a 7-day limit window. The independent comparison tool provides developers with measured performance metrics for informed decision-making rather than relying on vendor marketing narratives.

  • Performance-based metrics enable developers to select coding agents based on demonstrated results rather than vendor claims

Editorial Opinion

This performance comparison highlights the increasingly commoditized nature of coding agent plans, where price-matched tiers reveal significant differences in value delivery. While Anthropic's Claude Code remains a viable option for specific developer needs, OpenAI's demonstrated 2.2x advantage in task throughput at equivalent price points signals a shifting market dynamic where measured performance will increasingly drive adoption. The emergence of independent comparison tools using real usage data represents important maturation in how enterprises and developers evaluate AI tooling.

AI AgentsMachine LearningMLOps & InfrastructureMarket Trends

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