Claude Mythos 5vsDeepSeek-V4-Pro
Claude Mythos 5 | DeepSeek-V4-Pro | |
|---|---|---|
| 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 | ||
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. | — | $0.5262StreamLake |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $1.0524StreamLake |
| Benchmarks | ||
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? Higher is better. | 88% | 83.4% |
| 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% | — |
LiveCodeBenchCompetitive coding — Coding problems published so recently the AI can't have seen them in training — a contamination-free test of raw programming skill. Higher is better. | — | 93.5% |
Terminal-Bench 2.1Agentic terminal coding — Can the AI work in a command-line terminal — running commands and finishing technical setup tasks the way a developer would? Higher is better. | 88% | — |
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% | — |
GPQA DiamondScience — Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. | — | 90.1% |
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% | — |
Arena Elo (Text)Community preference — Real people chat with two anonymous AIs side by side and vote for the answer they prefer. Votes become a chess-style Elo rating on arena.ai — it measures which AI people actually like, not test scores. Higher is better. | — | 1457 |
Arena Elo (Code)Community preference (code) — Like the text arena, but people vote on which AI writes better code. The votes become a chess-style Elo rating on arena.ai. Higher is better. | — | 1446 |
| Overview | ||
| Company | Anthropic | DeepSeek |
| Release date | Jun 9 2026 | Apr 24 2026 |
| Access | Proprietary | Open Weight |
Other comparisons
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Frequently asked questions
Claude Mythos 5 leads DeepSeek-V4-Pro on 1 of the 1 benchmark they both report (BrowseComp). DeepSeek-V4-Pro shipped 46 days before Claude Mythos 5, so benchmark comparisons should account for the intervening progress.
Claude Mythos 5 is proprietary, while DeepSeek-V4-Pro is open weight.
On BrowseComp, Claude Mythos 5 leads at 88% vs DeepSeek-V4-Pro at 83.4%.
Claude Mythos 5 was released by Anthropic on Jun 9 2026.
DeepSeek-V4-Pro was released by DeepSeek on Apr 24 2026.
Claude Mythos 5 is a proprietary model released by Anthropic. DeepSeek-V4-Pro is an open weight model released by DeepSeek.