Honest AI Model Comparison
A transparent, sortable comparison of models by context window, pricing, coding evidence, and modality — built to support procurement decisions without treating marketing claims as assurance.
Point-in-time data only. API prices, context windows, modalities, endpoints, caching, batch terms, regions, tiers, and enterprise contracts change often; verify each row against the provider before purchase. SWE-bench Verified evaluates software-engineering performance on real GitHub issues under a specific harness; it is not a general intelligence, security, privacy, or alignment certification.
| Model | Context | Input $/1M | Output $/1M | SWE-bench | Modality | Best for |
|---|
Click any column header to sort. Rows should be treated as point-in-time references only; publish a row only when model name, price, context, modality, and benchmark claims have row-level official source/date evidence. Larger context does not guarantee reliable long-context performance; retrieval accuracy, attention degradation, file limits, latency, and cost can dominate real use.
Use SWE-bench Verified as a software-engineering signal only. Scores depend on the harness and do not certify safety or reliability.
Do not buy on token count alone. Retrieval accuracy, latency, file limits, and cost determine whether long context is usable.
API prices and capabilities can differ by endpoint, region, caching, batch mode, tier, and enterprise contract.
Benchmarks are not security, privacy, or alignment assurance. Model choice still needs external controls and procurement review.