Claude Mythos 5vsGPT-5.4 nano
Claude Mythos 5 | GPT-5.4 nano | |
|---|---|---|
| Specifications | ||
Context windowHow much text the model can hold in mind at once — your question, any documents you attach, the conversation so far, and its own reply. Go past it and the earliest part falls out of view. | 1M | — |
| API pricingUSD per 1M tokens · lower wins | ||
Input priceWhat you pay for everything you send the model — your question, plus any documents or earlier conversation you include with it. | — | $0.20 |
Output priceWhat you pay for the text the model writes back. It is normally the dearer half: producing an answer costs more than reading one. | — | $1.25 |
Cached input priceA reduced rate for text you send over and over. If every request starts with the same instructions or the same document, the provider keeps a copy ready and charges less to read it again. | — | $0.02 |
Cheapest inputLowest input rate across third-party providers, excluding the lab itself. The cheapest endpoint may run a quantised build or a shorter context — see "Available from" on the model page. | — | $0.20Azure |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $1.25Azure |
| Benchmarks | ||
Humanity's Last Exam · with toolsMultidisciplinary reasoning — Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. | 64.5% | 37.7% |
OSWorld-VerifiedAgentic computer use — Can the AI actually operate a computer — clicking, typing, and using real apps — to finish tasks on its own? Higher is better. | 85% | 39% |
| BenchmarksPublished by one model only | ||
BullshitBench v2Nonsense detection — Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. | — | 14% |
SWE-Bench VerifiedCoding — Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. | 95.5% | — |
Terminal-Bench 2.0Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? (Version 2.0 of the test.) Higher is better. | 88% | — |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 88% | — |
| Overview | ||
| Company | Anthropic | OpenAI |
| Release date | Jun 9 2026 | Mar 17 2026 |
| Access | Proprietary | Proprietary |
Other comparisons
Frequently asked questions
Claude Mythos 5 leads GPT-5.4 nano on 2 of the 2 benchmarks they both report (Humanity's Last Exam, OSWorld-Verified). Only GPT-5.4 nano has a verified first-party API price: $0.20 per million input tokens and $1.25 per million output tokens. No pay-as-you-go API rate is tracked for Claude Mythos 5. GPT-5.4 nano shipped 84 days before Claude Mythos 5, so benchmark comparisons should account for the intervening progress.
Published specifications for these two models are limited — see each model page for the latest details.
On Humanity's Last Exam · with tools, Claude Mythos 5 leads at 64.5% vs GPT-5.4 nano at 37.7%. On OSWorld-Verified, Claude Mythos 5 leads at 85% vs GPT-5.4 nano at 39%.
Claude Mythos 5 was released by Anthropic on Jun 9 2026.
GPT-5.4 nano was released by OpenAI on Mar 17 2026.
Claude Mythos 5 leads on Humanity's Last Exam · with tools — Claude Mythos 5 64.5% vs GPT-5.4 nano 37.7%.
Only GPT-5.4 nano has a verified first-party API price: $0.20 per million input tokens and $1.25 per million output tokens. No pay-as-you-go API rate is tracked for Claude Mythos 5. Rates are pay-as-you-go API prices verified on August 18, 2026.