AgentSky
Log in

DeepSeek Harness vs Codex

Two house pairings: OpenAI's harness on GPT models, DeepSeek's on its own. Your task decides.

Repo
For agents: Compare using API

Which option do users prefer?

0 tries · 0 votes · Same agents and models

No attributable votes for these agents and models yet. Try a real task and choose the result you prefer.

Recent user choices

See which results other people preferred. Their tasks and files stay private.

No public comparison records to show.

Model benchmarks

Artificial Analysis

Intelligence v4.3

General capability across the lab's whole suite.

39.5
Not published
DeepSeek HarnessDeepSeek V4.1 Flash (Reasoning, Max Effort)
CodexGPT-6.1 Sol

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.

DeepSeek Harness vs Codex: 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.

ConfigurationDeepSeek HarnessCodex
ModelDeepSeek V4.1 FlashGPT-6.1 Sol
Thinking levelNot configurableMedium
CatalogDeepSeek Harnessdeepseek/deepseek-v4.1-flashCodexGPT-6.1 Sol· Not listed
Input$ / 1M tokens0.30—
Output$ / 1M tokens1.20—
Context windowtokens1.0M—
Providers serving it19—

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. A dash is something they do not publish for that option.

Frequently asked questions

Related resources

All comparisons

Start with editable options.