Compare Coding Models by Workflow Cost
Quantifying the intersection of benchmark evidence, token pricing, and agentic reliability. Move beyond "vibes" to deterministic task economics.
No single coding model wins every workflow. Choose by workflow, evidence, pricing, context, caveat, and task cost.
I’m building a coding agent
Caveat: Strong evidence, but expensive output pricing; not universal best.
Cheapest good-enough
Caveat: Low token price only helps if retry rate stays low.
Frontend generation
Caveat: Benchmark signal exists; price/context need exact source verification.
Repo-level refactor
Caveat: Long-context candidates require source-backed context and reliability caveats.
Methodology
No fake universal score
We reject "overall" model scores. A model good at frontend UI generation may fail at complex repo refactoring. Keep benchmark sources separate and use workflow labels only.
Token price ≠ task cost
Low token prices can lose their advantage if retries, output length, or failure cleanup increase. The calculator estimates from visible assumptions, not from hidden defaults.
Source freshness
Data must come from official provider pages or public benchmark sources. Each visible row needs source URL, last checked date, confidence, and caveat.
Unknown value policy
If a provider hides pricing or context limits, we label it "Not Disclosed" rather than estimating. This forces visibility on opaque commercial practices.
Ready to calculate real task cost?
Select a model and define your project scope to get a high-fidelity economic estimate including token usage and iteration safety margins.