模型对比 | RPDiag

测试说明点击展开 5 步 quick-probe-v1 详解

同一会话连续 5 步，覆盖 5 个独立信号： 1. ping/pong —— 单字指令遵循 + 建立缓存上下文。 2. 身份（结构化）—— 三行 vendor / brand / model 格式，机器可解析。 3. 知识截止 —— 跨越 5 分钟 cache 边界后追问，检测 sliding 5m cache 是否真正命中。 4. 身份（自由格式）—— 自然语言自报身份，给包装层（Kiro 等）暴露品牌的机会。 5. 世界知识层级 —— 5 道公共事件硬事实题，按答对档位映射实测 tier，与请求模型对照。步与步之间随机延迟 1–4 分钟。第 3 步（cutoff）累计跨度 > 5 分钟保住 sliding cache 检测；全流程总跨度 > 6 分钟容纳新增的第 5 步。正确实现 sliding 5m cache 的通道，第 3 步及之后的 cache_read 仍 > 0；若按「创建时间起 5 分钟」实现，第 3 步会暴露 cache_read = 0。

4 通道 · 5 步骤

2026/06/16 运行日期

claude-opus-4-8 官方基准

2 通道分数 < 70 另含 1 任务失败

已揭晓揭晓进度

⚠ 1 通道不可测 · 已从主对比表移除点击展开原因

AIMZ / M-Max
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评测失败
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步骤 / 指标

HongMaCC

u-cc

SSSAiCode

O-Max

ClaudeAPI

O-Bdrk

官方基准

基本信息

服务名 Claude Code Claude Code Claude Code Claude Code

模型 claude-opus-4-8 claude-opus-4-8 claude-opus-4-8 claude-opus-4-8

客户端 claude-cli v2.1.160 claude-cli v2.1.160 claude-cli v2.1.160 claude-cli v2.1.160

偏差标红基于官方基准

步骤 1: ping text

时间 13:30:19 ~ 13:30:24 (2.7s) 13:30:25 ~ 13:30:30 (2.7s) 13:30:21 ~ 13:30:31 (4.9s) 13:30:27 ~ 13:30:32 (4.2s)

提示词

查看本步 Prompt

ping. Reply with the single word: pong

HTTP 头(TTFB) 1,625 ms 1,785 ms 2,673 ms 2,929 ms

首文本(SSE delta) 1,627 ms 1,878 ms 2,914 ms 2,932 ms

总耗时 1,627 ms 1,944 ms 3,116 ms 3,046 ms

输入 0 1,428 1,454 1,454

输出 22 4 4 4

缓存创建

5m: 0 / 1h: 0

29,760

5m: 0 / 1h: 29,760

30,224

5m: 0 / 1h: 30,224

30,222

5m: 0 / 1h: 30,222

缓存读取 0 0 0 0

响应

pong

pong

pong

pong

步骤 2: identity text

时间 13:33:10 ~ 13:33:16 (3.0s) 13:33:16 ~ 13:33:21 (4.4s) 13:31:46 ~ 13:31:56 (5.2s) 13:34:18 ~ 13:34:23 (4.1s)

提示词

查看本步 Prompt

本请求询问的是你（正在生成此回复的当前 API 模型）自身的身份，不是用户提到的任何外部产品。必须直接作答，禁止追问、拒答、解释或输出占位符；不能要求更多上下文。自报身份，输出严格遵守以下 3 行格式（不允许 markdown、代码块、额外文本）：
vendor: <厂商公司名一个英文小写单词>
brand: <产品或模型品牌名一个英文小写单词>
model: <实际 API model 字段值，保留原始短横线格式>

HTTP 头(TTFB) 1,852 ms 2,935 ms 2,789 ms 2,172 ms

首文本(SSE delta) 1,853 ms 3,245 ms 2,790 ms 2,175 ms

总耗时 1,853 ms 3,367 ms 3,203 ms 3,085 ms

输入 0 2 2 2

输出 92 30 28 28

缓存创建

5m: 0 / 1h: 0

1,620

5m: 0 / 1h: 1,620

31,868

5m: 31,868 / 1h: 0

1,646

5m: 0 / 1h: 1,646

缓存读取 0 29,760 0 30,222

输出速度 burst - - -

响应

vendor: anthropic
brand: claude
model: claude-opus-4-8

vendor: anthropic
brand: claude
model: claude-opus-4-20250514

vendor: anthropic
brand: claude
model: claude-opus-4-8

vendor: anthropic
brand: claude
model: claude-opus-4-8

步骤 3: cutoff text

时间 13:37:12 ~ 13:37:17 (2.9s) 13:36:04 ~ 13:36:09 (3.2s) 13:34:36 ~ 13:34:51 (12.3s) 13:37:19 ~ 13:37:24 (3.5s)

提示词

查看本步 Prompt

请回报你的 knowledge cutoff，只输出 YYYY-MM。

HTTP 头(TTFB) 1,724 ms 1,827 ms 9,767 ms 1,987 ms

首文本(SSE delta) 1,725 ms 1,979 ms 9,768 ms 1,989 ms

总耗时 1,725 ms 2,035 ms 10,712 ms 2,199 ms

输入 0 2 2 2

输出 43 6 6 6

缓存创建

5m: 0 / 1h: 0

5m: 0 / 1h: 53

5m: 65 / 1h: 0

5m: 0 / 1h: 71

缓存读取 0 31,380 31,868 31,868

输出速度 burst - - -

响应

2026-01

2025-03

2026-01

2026-01

步骤 4: identity_free text

时间 13:40:17 ~ 13:40:22 (3.2s) 13:39:41 ~ 13:39:46 (4.5s) 13:36:32 ~ 13:36:42 (5.7s) 13:40:55 ~ 13:41:00 (4.8s)

提示词

查看本步 Prompt

中文回答：你叫什么、属于哪个产品、谁开发？50 字内。

HTTP 头(TTFB) 1,837 ms 2,984 ms 2,518 ms 1,898 ms

首文本(SSE delta) 1,838 ms 3,336 ms 2,519 ms 1,900 ms

总耗时 1,838 ms 3,403 ms 3,402 ms 3,611 ms

输入 0 2 2 2

输出 66 29 54 61

缓存创建

5m: 0 / 1h: 0

5m: 0 / 1h: 35

5m: 37 / 1h: 0

5m: 0 / 1h: 35

缓存读取 0 31,433 31,933 31,939

输出速度 burst - 61.2 tok/s 35.7 tok/s

响应

我是 Claude，属于 Claude 产品系列，由 Anthropic 开发。

我是 Claude，由 Anthropic 公司打造的人工智能助手。

我是 Claude，由 Anthropic 开发，属于 Claude Opus 4.8 模型，是 Claude AI 助手产品的一部分。

我是 Claude，由 Anthropic 打造的 AI 助手，当前模型为 Claude Opus 4.8，可协助编程、写作、分析等多种任务。

步骤 5: knowledge_recall text

时间 13:41:43 ~ 13:41:53 (9.2s) 13:40:59 ~ 13:41:09 (8.1s) 13:37:58 ~ 13:38:13 (10.1s) 13:42:15 ~ 13:42:35 (19.3s)

提示词

查看本步 Prompt

Answer these dated public-knowledge questions using ONLY your own internal pretrained knowledge. Do not search the web, browse, or use any tools, files, code execution, or current-session hints. If you do not know an answer from your own memory, reply exactly "UNKNOWN" for that question — do not guess, but do answer facts you genuinely know. Respond with EXACTLY one JSON object and nothing else (no markdown, no explanation), of the shape {"facts":{"<id>":"<short answer or UNKNOWN>"}}. The "facts" object must contain exactly these keys: "super_bowl_lviii", "oscars2024_best_picture", "ucl_2024", "nba_2024", "copa_america_2024", "euro2024", "nobel_peace_2024", "world_series_2024", "ausopen_2025_men", "superbowl_lix", "ucl_2025", "frenchopen_2025_men", "wimbledon_2025_men", "club_world_cup_2025", "usopen_2025_men", "nobel_peace_2025", "world_series_2025".
- "super_bowl_lviii": Which NFL team won Super Bowl LVIII (played 2024-02-11)?
- "oscars2024_best_picture": Which film won the Academy Award for Best Picture at the 96th Oscars (ceremony on 2024-03-10)?
- "ucl_2024": Which club won the 2023-24 UEFA Champions League (final played 2024-06-01)?
- "nba_2024": Which team won the 2024 NBA Finals (concluded 2024-06-17)?
- "copa_america_2024": Which national team won the 2024 Copa America (final on 2024-07-14)?
- "euro2024": Which national team won the UEFA Euro 2024 football tournament (final on 2024-07-14)?
- "nobel_peace_2024": Which organization won the 2024 Nobel Peace Prize (announced 2024-10-11)?
- "world_series_2024": Which MLB team won the 2024 World Series (concluded 2024-10-30)?
- "ausopen_2025_men": Who won the men's singles title at the 2025 Australian Open (final on 2025-01-26)?
- "superbowl_lix": Which NFL team won Super Bowl LIX (played 2025-02-09)?
- "ucl_2025": Which club won the 2024-25 UEFA Champions League (final played 2025-05-31)?
- "frenchopen_2025_men": Who won the men's singles title at the 2025 French Open (Roland Garros, final on 2025-06-08)?
- "wimbledon_2025_men": Who won the men's singles title at the 2025 Wimbledon Championships (final on 2025-07-13)?
- "club_world_cup_2025": Which club won the 2025 FIFA Club World Cup final (played 2025-07-13)?
- "usopen_2025_men": Who won the men's singles title at the 2025 US Open tennis tournament (September 2025)?
- "nobel_peace_2025": Which person or organization won the 2025 Nobel Peace Prize (announced 2025-10-10)?
- "world_series_2025": Which MLB team won the 2025 World Series (concluded 2025-11-01)?

HTTP 头(TTFB) 7,843 ms 1,724 ms 2,422 ms 9,421 ms

首文本(SSE delta) 7,844 ms 5,087 ms 6,165 ms 17,785 ms

总耗时 8,097 ms 7,217 ms 8,742 ms 18,216 ms

输入 0 2 2 2

输出 1,691 670 723 710

缓存创建

5m: 0 / 1h: 0

4,251

5m: 0 / 1h: 4,251

4,778

5m: 4,778 / 1h: 0

4,789

5m: 0 / 1h: 4,789

缓存读取 0 0 0 0

输出速度 - burst burst burst

响应

{"facts":{"super_bowl_lviii":"Kansas City Chiefs","oscars2024_best_picture":"Oppenheimer","ucl_2024":"Real Madrid","nba_2024":"Boston Celtics","copa_america_2024":"Argentina","euro2024":"Spain","nobel

{"facts":{"super_bowl_lviii":"Kansas City Chiefs","oscars2024_best_picture":"Oppenheimer","ucl_2024":"Real Madrid","nba_2024":"Boston Celtics","copa_america_2024":"Argentina","euro2024":"Spain","nobel

{"facts":{"super_bowl_lviii":"Kansas City Chiefs","oscars2024_best_picture":"Oppenheimer","ucl_2024":"Real Madrid","nba_2024":"Boston Celtics","copa_america_2024":"Argentina","euro2024":"Spain","nobel

{"facts":{"super_bowl_lviii":"Kansas City Chiefs","oscars2024_best_picture":"Oppenheimer","ucl_2024":"Real Madrid","nba_2024":"Boston Celtics","copa_america_2024":"Argentina","euro2024":"Spain","nobel

总计

总输入(含缓存) 0 129,728 132,235 132,254

总输出 1,914 739 815 809

总缓存创建

5m: 0 / 1h: 0

35,719

5m: 0 / 1h: 35,719

66,972

5m: 36,748 / 1h: 30,224

36,763

5m: 0 / 1h: 36,763

总缓存读取 0 92,573 63,801 94,029

输出速度 burst burst 61.2 tok/s 35.7 tok/s

总执行时间 21.0s 22.8s 38.2s 35.8s

总墙钟时间

11m 33.8s

含步骤间等待

10m 43.8s

含步骤间等待

7m 51.8s

含步骤间等待

12m 7.8s

含步骤间等待

按官方价目重估

同等内容若直发 Anthropic 的估算 ⓘ

>=$0.0478

Anthropic: Claude Opus 4.8 (成本不完整)

$0.2952

Anthropic: Claude Opus 4.8

$0.3920

Anthropic: Claude Opus 4.8

$0.3043

Anthropic: Claude Opus 4.8

通道指纹

来源步骤 knowledge_recall knowledge_recall knowledge_recall knowledge_recall

平台 one-api (100%) direct (100%) one-api (100%) direct (100%)

上游 Anthropic 直连 (100%) Anthropic 直连 (100%) Anthropic 直连 (100%) Anthropic 直连 (100%)

CDN - - - -

ID 格式 msg_d9023024e9fc6988c9308647 msg_01PuWtmLGvhAZBSiXHngnpox msg_015Nbo83C8fHP19xartuCiQd msg_01XGzpQnQ7t86YZ1JPEtHuWG

展开详细指纹（响应头 / body 特征 / 完整信号列表）

通道	response_headers_notable	response_body_traits	signals	request_id_chain
u-cc	server: nginx x-new-api-version: 1.0.10 x-oneapi-request-id: 202606160541448457941378268d9d6w6A4vAs4	id_format: msg_prefix extra_fields: ["stop_details"] has_service_tier: true has_inference_geo: true model_has_date_suffix: false usage_has_cache_fields: true	hdr:x-new-api-versionhdr:x-oneapi-request-idbody:id:msg_prefixbody:usage.service_tierbody:usage.inference_geobody:usage.cache_fieldsbody:extra_fieldsupstream:anthropic-direct-from-body	—
O-Max	cf-ray: a0c77ba62c51cb9c-LAX server: Photon-Edge set-cookie: _cfuvid=PjJJsaQp4CU6Nmxytiu5SqDUJ9V6c5QHwQ22n7Ndv5U-1781588460.5047054-1.0.1.1-Wm.gCNU5gF76ltfzyqmwkOLcslYBwDa8oGlsJIIKHxg; HttpOnly; SameSite=None; Secure; Path=/; Domain=api.anthropic.com	id_format: msg_prefix extra_fields: ["stop_details"] has_service_tier: true has_inference_geo: true model_has_date_suffix: false usage_has_cache_fields: true	body:id:msg_prefixbody:usage.service_tierbody:usage.inference_geobody:usage.cache_fieldsbody:extra_fieldsupstream:anthropic-direct-from-body	1781588460461-sczbciflath0y req_011Cc6QLPCB7tfATDtDbdT96 a0c77ba62c51cb9c-LAX
O-Bdrk	x-new-api-version: v2026.05.18 x-oneapi-request-id: 202606160537598895839828268d9d6EV4l3QSA	id_format: msg_prefix extra_fields: ["stop_details"] has_service_tier: true has_inference_geo: true model_has_date_suffix: false usage_has_cache_fields: true	hdr:x-new-api-versionhdr:x-oneapi-request-idbody:id:msg_prefixbody:usage.service_tierbody:usage.inference_geobody:usage.cache_fieldsbody:extra_fieldsupstream:anthropic-direct-from-body	—
官方基准	server: nginx/1.22.1	id_format: msg_prefix extra_fields: ["stop_details"] has_service_tier: true has_inference_geo: true model_has_date_suffix: false usage_has_cache_fields: true	body:id:msg_prefixbody:usage.service_tierbody:usage.inference_geobody:usage.cache_fieldsbody:extra_fieldsupstream:anthropic-direct-from-body	req_011Cc6QSSAvwmcL8HjYviBNL

协议指纹评分（机器自动）

总分 / 100 60 89 81 100

基线状态已对照基线已对照基线已对照基线已对照基线

缓存命中比 0.0 /10 ×20 10.0 /10 ×20 6.0 /10 ×20 10.0 /10 ×20

缓存 TTL 一致 0.0 /10 ×15 10.0 /10 ×15 0.0 /10 ×15 10.0 /10 ×15

模型匹配 10.0 /10 ×14 10.0 /10 ×14 10.0 /10 ×14 10.0 /10 ×14

缓存连续性 5.0 /10 ×14 10.0 /10 ×14 10.0 /10 ×14 10.0 /10 ×14

sliding 5m 5.0 /10 ×13 10.0 /10 ×13 7.7 /10 ×13 10.0 /10 ×13

原生 msg-ID 0.0 /10 ×8 10.0 /10 ×8 10.0 /10 ×8 10.0 /10 ×8

身份(结构) 10.0 /10 ×7 6.7 /10 ×7 10.0 /10 ×7 10.0 /10 ×7

知识截止 10.0 /10 ×7 0.0 /10 ×7 10.0 /10 ×7 10.0 /10 ×7

身份(自由) 10.0 /10 ×7 10.0 /10 ×7 10.0 /10 ×7 10.0 /10 ×7

service_tier 10.0 /10 ×6 10.0 /10 ×6 10.0 /10 ×6 10.0 /10 ×6

inference_geo 10.0 /10 ×5 10.0 /10 ×5 10.0 /10 ×5 10.0 /10 ×5

延迟基线 10.0 /10 ×5 10.0 /10 ×5 10.0 /10 ×5 10.0 /10 ×5

Req-ID 透传 0.0 /10 ×4 10.0 /10 ×4 0.0 /10 ×4 10.0 /10 ×4

stop_reason 10.0 /10 ×3 10.0 /10 ×3 10.0 /10 ×3 10.0 /10 ×3

SDK 一致 10.0 /10 ×2 10.0 /10 ×2 10.0 /10 ×2 10.0 /10 ×2

系统提示纯净未计入 5.0 /10 ×8 10.0 /10 ×8 10.0 /10 ×8

流式投递 — — — —

综合结论

与基线相似度 60 v3.17.0 89 v3.17.0 81 v3.17.0 基准（参考）

雷达图例

共 19 个维度（顺时针，从顶部 12 点起）— 点击展开对照

1 模型匹配 model_match
2 知识截止 cutoff_match
3 SDK 一致 sdk_consistency
4 Thinking 存在 thinking_present
5 自由身份 identity_free_clean
6 停止原因 stop_reason_present
7 Service Tier service_tier_present
8 缓存命中比 cache_hit_ratio_match
9 缓存 TTL 一致 cache_ttl_consistency
10 推理地区 inference_geo_present
11 缓存连续 cache_continuity_intra
12 知识召回 knowledge_recall_match
13 延迟基线 latency_baseline_match
14 原生 msg-ID anthropic_msg_id_format
15 Sliding 缓存 cache_sliding_correctness
16 结构化身份 identity_structured_match
17 自报身份一致 self_identity_consistency
18 中文遵循 instruction_following_lang
19 Req-ID 透传 anthropic_request_id_passthrough

每根轴长度 = 该维度 0-10 分（越长越接近基线）。蓝色虚线圆 = 满分基准。具体权重见方法论页。

维度雷达

平均延迟 3028 ms 3593 ms 5835 ms 6031 ms

输出速度 burst burst 61.2 tok/s 35.7 tok/s

完成步骤 5/5 成功 5/5 成功 5/5 成功 5/5 成功

按官方价目重估

同等内容若直发 Anthropic 的估算 ⓘ

>=$0.0478 (成本不完整)

$0.2952

$0.3920

$0.3043

缓存读取占比 ⓘ - 71% 48% 71%

揭晓

通道

服务商 HongMaCC ↗

通道u-cc

服务商 SSSAiCode ↗

通道O-Max

服务商 ClaudeAPI ↗

通道O-Bdrk

官方基准

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