Claude Mythos PreviewvsClaude Opus 4.6

在 7 个共同 benchmark 中,Claude Mythos Preview 整体领先:Claude Mythos Preview 领先 7 项,Claude Opus 4.6 领先 0 项,持平 0 项,平均分差 +9.68。

Anthropic
Claude Mythos Preview

Anthropic · 2026-04-07 · 聊天大模型

Anthropic
Claude Opus 4.6

Anthropic · 2026-02-05 · 推理大模型

Claude Mythos Preview7 (100%)(0%)0 Claude Opus 4.6

评测分数

按能力类目分组,每组内按分差大小排列;共 7 项。

AI Agent - Tool Usage

Claude Mythos Preview 领先 2/2
评测项Claude Mythos PreviewClaude Opus 4.6分差
Terminal Bench 2.0822 / 46Extended (with tools)65.4011 / 46Extended (with tools)+16.60
OSWorld-Verified79.603 / 18Extended (with tools)72.709 / 18Extended (with tools)+6.90

Coding and Software Engineer

Claude Mythos Preview 领先 2/2
评测项Claude Mythos PreviewClaude Opus 4.6分差
SWE-bench Multilingual87.301 / 20Extended (with tools)7212 / 20Extended (with tools)+15.30
SWE-bench Verified93.903 / 108Extended (with tools)80.849 / 108Extended (with tools)+13.06

General Knowledge

Claude Mythos Preview 领先 2/2
评测项Claude Mythos PreviewClaude Opus 4.6分差
HLE64.701 / 157Extended (with tools)5311 / 157Extended (with tools, internet)+11.70
GPQA Diamond94.601 / 178Extended (no tools)91.3114 / 178Extended (no tools)+3.29

AI Agent - Information Search

Claude Mythos Preview 领先 1/1
评测项Claude Mythos PreviewClaude Opus 4.6分差
BrowseComp84.904 / 45Extended (with tools)847 / 45Thinking (With Tools + Internet)+0.90

规格对比

字段Claude Mythos PreviewClaude Opus 4.6
发布机构AnthropicAnthropic
发布时间2026-04-072026-02-05
模型类型聊天大模型推理大模型
架构稠密模型稠密模型
参数规模暂无数据暂无数据
上下文长度暂无数据1000K
最大输出8K64K

API 调用价格

价格优先使用 DataLearner 配置的 API 记录;缺失项不做推测。

价格项Claude Mythos PreviewClaude Opus 4.6
文本输入$25 / 1M tokens$0.5 / 1M tokens
文本输出$125 / 1M tokens$25 / 1M tokens
缓存读取暂无公开价格$0.5 / 1M tokens
缓存写入暂无公开价格$10 / 1M tokens

小结

  • Claude Mythos Preview在以下类目领先:AI Agent - Tool Usage (2/2)、Coding and Software Engineer (2/2)、General Knowledge (2/2)、AI Agent - Information Search (1/1)

7 个共同 benchmark 上,Claude Mythos Preview 平均高出 9.68 分。

单项差距最大的 benchmark:Terminal Bench 2.0 — Claude Mythos Preview 82,Claude Opus 4.6 65.40(分差 +16.60)。

本页正文由结构化模型、价格与 benchmark 数据生成,不使用实时 LLM 撰写。