Claude Mythos 5vsQwen3.8-Max
Claude Mythos 5 | Qwen3.8-Max | |
|---|---|---|
| Specifications | ||
ParametersA rough measure of how big the model is. More parameters usually means more capable and more expensive to run, though it is a poor guide on its own — a smaller, newer model often beats a larger, older one. | — | 2.4T |
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 | 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. | — | $2.00Alibaba |
Cheapest outputLowest output rate across third-party providers, excluding the lab itself. May come from a different provider than the cheapest input. | — | $6.00Alibaba |
| Benchmarks | ||
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% | 86.6% |
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% | 86.1% |
| BenchmarksPublished by one model only | ||
SWE-Bench ProAgentic coding — Can the AI fix real bugs in real software? It's handed actual problems from open-source projects and has to write code that genuinely solves them. Higher is better. | — | 67.7% |
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% | — |
PaperBenchResearch reproduction — reproducing the results of an ML research paper end to end | — | 93% |
JobBenchProfessional tool use — Tests the AI on professional workplace tasks that require using real work tools — the kind of multi-step jobs an office worker handles. Higher is better. | — | 53.4% |
BrowseCompWeb browsing — Can the AI browse the web and track down hard-to-find answers? 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% | — |
CharXiv ReasoningChart reasoning — Can the AI read and reason about complex charts and figures, not just text? Higher is better. | — | 88.4% |
BabyVisionVisual reasoning — Tests core visual reasoning — seeing and understanding images the way even young children can, which AIs often find surprisingly hard. Higher is better. | — | 82% |
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. | — | 1481 |
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. | — | 1667 |
| Overview | ||
| Company | Anthropic | Qwen |
| Release date | Jun 9 2026 | Aug 3 2026 |
| Access | Proprietary | Proprietary |
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Frequently asked questions
Claude Mythos 5 and Qwen3.8-Max are evenly matched across the 2 benchmarks they both report (Terminal-Bench 2.1, OSWorld-Verified). Claude Mythos 5 shipped 55 days before Qwen3.8-Max, so benchmark comparisons should account for the intervening progress.
Context windows are 1M (Claude Mythos 5) vs 1M (Qwen3.8-Max).
On Terminal-Bench 2.1, Claude Mythos 5 leads at 88% vs Qwen3.8-Max at 86.6%. On OSWorld-Verified, Qwen3.8-Max leads at 86.1% vs Claude Mythos 5 at 85%.
Claude Mythos 5 was released by Anthropic on Jun 9 2026.
Qwen3.8-Max was released by Qwen on Aug 3 2026.
Claude Mythos 5 leads on Terminal-Bench 2.1 — Claude Mythos 5 88% vs Qwen3.8-Max 86.6%.
Claude Mythos 5 has a 1M context window; Qwen3.8-Max has 1M.