Free tool / Updated 2026-07-06

Claude vs GPT Model Comparison Explorer

Filter Claude, GPT, and benchmark-reference models by provider, access, price, context window, and published coding benchmark evidence.

Citable baseline

Comparison facts

Dated facts with primary-source links where the underlying source is available.

1M+ Context-window class for Claude Fable 5, Opus 4.8, Sonnet 5, GPT-5.5, and GPT-5.6 preview models. Primary source: Anthropic Claude Platform Docs
$10/$50 Claude Fable 5 input/output price per million tokens. Primary source: Anthropic Claude Platform Docs
$5/$30 GPT-5.5 input/output price per million tokens. Primary source: OpenAI API Docs

Interactive table

Filter current model evidence

All rows are browser-rendered from dated local data. Missing benchmark numbers are preserved as missing evidence rather than backfilled from adjacent models.

Providers
0 visible rows
- lowest input price
- largest context
Model Price / MTok Context Best read Benchmark evidence Sources

How to read the table

The comparison deliberately separates published specs from benchmark evidence. A model can have current API pricing and context-window data without a comparable SWE-Bench Pro or Terminal-Bench row. That absence matters for procurement.

Treat provider launch numbers, benchmark-owner leaderboards, and agent-plus-model rows as different evidence types. The fastest way to misuse this tool is to compare a provider-reported score for one model against a public scaffold row for another without naming the harness.

FAQ

Can this table tell me the best model overall?

No. It compares dated public specs and benchmark claims. Use it to shortlist models, then run a private task suite with your actual harness and budget cap.

Why do some rows have benchmark notes instead of scores?

Some current models have official pricing and context-window data but no comparable public score in the source set. The table preserves that absence instead of inventing a number.

Keep reading

Related model evidence

Internal links are selected to keep benchmark, tool, and methodology context together.

Tool

Cost comparator

Estimate monthly API spend for Claude and OpenAI models from input tokens, output tokens, request volume, cache reuse, and long-context assumptions.

Tool

Benchmark decoder

Pick an AI benchmark and get a plain-English read on what it measures, where it saturates, and how to treat Claude or GPT vendor claims.

Report

Claude vs GPT Coding

Use SWE-Bench Pro for contamination-aware software repair, Terminal-Bench for command-line agent behavior, and provider launch tables only when you preserve the harness and effort settings.

Source

Primary-source index

Inspect the Anthropic, OpenAI, benchmark-owner, and research sources behind the baseline.