⏱ Capsule Public Vibe Design
The Zeitgeist Digest
Ezarwebmaster· Jul 19, 2026
Brief
**Rationale:** Tests two orthogonal capabilities in one pass — factual web
research (grounding, recency, no hallucination) and aesthetic judgment
(current design trends vs generic template output). A model can fail either
axis independently, which is the point: design quality alone must not mask
a fabricated-sources fail.
**Expected spread:** Frontier models with reliable search tool-use should
clear GT1–GT3 easily; the real spread will show up on GT4 (design
originality) and on models that either skip the search tool or hallucinate
plausible-sounding articles despite having it available.
**Known cheats/risks:**
- Model ignores the search tool entirely and invents 3 plausible articles
(titles/sources that sound real but don't exist) — must be caught manually,
this is the highest-value failure to detect.
- Model searches but grabs stale articles (>14 days) without checking dates.
- Model produces a visually polished page but with broken/dead article links.
- Model pads with lorem-ipsum-style filler design elements to look "trendy."
**GT checklist:**
- **GT1 (blocking gate):** All 3 articles are real and verifiable —
correct source, correct URL resolves, headline matches actual content.
Manual check required. Any fabricated article → automatic Fail tier
regardless of GT2–GT6.
- **GT2:** All 3 articles published within 14 days of the run date (check
actual publish date vs run timestamp, not vs today).
- **GT3:** Summaries are accurate — no factual distortion vs source content.
- **GT4:** Design quality — Playwright screenshot review. Score against:
distinctive typography, non-default layout, deliberate color system,
absence of generic Bootstrap/Tailwind-default look.
- **GT5:** Technical execution — renders with no console errors, single
self-contained file, responsive at 2+ viewport widths.
- **GT6:** No placeholder/lorem-ipsum content, no broken images/missing alt.
**Scoring:** GT1 is a hard blocking gate (Fail tier if violated, independent
of everything else). Otherwise: S = GT2–GT6 all pass with strong GT4;
A = all pass, average GT4; B = GT2/GT3 pass but GT4/GT5 weak; C = partial
GT2/GT3 issues (e.g. 1 stale article) but no fabrication; Fail = GT1
violated or degenerate/non-rendering output.
Locked Reference Prompt
IMMUTABLEScientific timeline lock active
You have access to a web search tool. Search for and identify three recent news
articles (published within the last 14 days prior to today) about the following
topic: recent developments in the AI/LLM industry.
Then create a single, self-contained HTML page that presents these three
articles as a news digest, designed with the best, most current web design
trends you can apply. Treat this as a portfolio piece meant to impress art
directors and designers — not a generic template.
Requirements:
- Include all three articles: headline, source name, publish date, one direct,
real URL, and a two- to three-sentence summary in your own words for each.
- The design should reflect trending, contemporary web aesthetics
(typography, layout, color system, and microinteractions where
reasonable). Avoid generic Bootstrap-looking templates.
- The page must be fully responsive: it should look and function well on
both mobile (narrow) and desktop (wide) viewport widths.
- Output a single HTML file with all CSS and JS inline (<style> and <script>
tags). No build step. CDN links for fonts/icons are acceptable.
- At the top of the page, include an HTML comment stating today's date as
you understand it and the exact topic covered.
- Do not fabricate articles, sources, or URLs. If you cannot find three real,
recent articles, say so explicitly in the output instead of inventing them.
Add a Benchmark Run
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Timeline (12 runs)
Run Activity
12 runs in the last 6 months
Jan
Feb
Mar
Apr
May
Jun
Jul
LessMore
Cost vs Speed
size = output tokens · top-left is best
size = tokens
value frontier — no model is faster & cheaper Capsule Stats
Runs
12
Total cost
$3.1456
Tokens
509k
Avg latency
2m 19s
Models
12
Web Searches
2
Fastest
xiaomi/mimo-v2.514s
xiaomi/mimo-v2.514s Cheapest
tencent/hy3$0.0069
tencent/hy3$0.0069 Top provider
DeepSeek×2
DeepSeek×2 71k reasoning 2 web searches last today
Tip: Select 2 or more runs via their "Compare" buttons — or filter by company below and compare them all at once — then open the Compare Studio: verdicts, benchmark bars, charts, side-by-side reading and response diff.
⏱
Benchmark Run — Jul 19, 2026 Latest

NVIDIAnemotron-3-ultra-550b-a55b
🌐 Web Search Extended
stop
Latency
29s
client → response
Input Tokens
2,917
prompt tokens
Output
7,623
generated
Total Tokens
10,540
in + out
Billed Cost
$0.0342
OR Credits
Reasoning
374
thinking tokens
Model Output
nemotron-3-ultra-550b-a55b — Canvas
⏱
Benchmark Run — Jul 19, 2026

Tencent (Hunyuan)hy3
🌐 Web Search Extended
stop
Latency
33s
client → response
Input Tokens
2,830
prompt tokens
Output
2,537
generated
Total Tokens
5,367
in + out
Billed Cost
$0.0069
OR Credits
Reasoning
—
thinking tokens
Model Output
hy3 — Canvas
⏱
Benchmark Run — Jul 19, 2026

Google DeepMindgemini-3.5-flash
🌐 Web Search (Not Used) Extended
stop
Effort: Medium Latency
2m 20s
client → response
Input Tokens
1,398
prompt tokens
Output
54,881
generated
Total Tokens
56,279
in + out
Billed Cost
$0.4960
OR Credits
Reasoning
41,492
thinking tokens
Model Output
gemini-3.5-flash — Canvas
⏱
Benchmark Run — Jul 19, 2026

DeepSeekdeepseek-v4-pro
🌐 Web Search (Not Used) Extended
stop
Latency
2m 1s
client → response
Input Tokens
38,742
prompt tokens
Output
6,915
generated
Total Tokens
45,657
in + out
Billed Cost
$0.0673
OR Credits
Reasoning
1,108
thinking tokens
Model Output
deepseek-v4-pro — Canvas
⏱
Benchmark Run — Jul 19, 2026

Moonshot AI (Kimi)kimi-k3
🌐 Web Search (Not Used) Extended
stop
Latency
7m 10s
client → response
Input Tokens
31,035
prompt tokens
Output
12,804
generated
Total Tokens
43,839
in + out
Billed Cost
$0.2979
OR Credits
Reasoning
3,490
thinking tokens
Model Output
kimi-k3 — Canvas
⏱
Benchmark Run — Jul 19, 2026
Z Aiglm-5.2
🌐 Web Search (Not Used) Extended
stop
Latency
5m 19s
client → response
Input Tokens
59,701
prompt tokens
Output
26,214
generated
Total Tokens
85,915
in + out
Billed Cost
$0.0699
OR Credits
Reasoning
17,799
thinking tokens
Model Output
glm-5.2 — Canvas
⏱
Benchmark Run — Jul 19, 2026

MiniMaxminimax-m3
🌐 Web Search (Not Used) Extended
stop
Latency
3m 25s
client → response
Input Tokens
37,195
prompt tokens
Output
11,034
generated
Total Tokens
48,229
in + out
Billed Cost
$0.0543
OR Credits
Reasoning
1,783
thinking tokens
Model Output
minimax-m3 — Canvas
⏱
Benchmark Run — Jul 19, 2026

Google DeepMindgemini-3.1-pro-preview
🌐 Web Search (Not Used) Extended
stop
Effort: X-High Latency
1m 50s
client → response
Input Tokens
300
prompt tokens
Output
1,767
generated
Total Tokens
2,067
in + out
Billed Cost
$0.1338
OR Credits
Reasoning
1,699
thinking tokens
Model Output
gemini-3.1-pro-preview — Canvas
⏱
Benchmark Run — Jul 19, 2026

OpenAIgpt-5.6-sol
🌐 Web Search (Not Used) Extended
stop
Latency
2m 2s
client → response
Input Tokens
46,486
prompt tokens
Output
10,902
generated
Total Tokens
57,388
in + out
Billed Cost
$0.6154
OR Credits
Reasoning
1,826
thinking tokens
Model Output
gpt-5.6-sol — Canvas
⏱
Benchmark Run — Jul 19, 2026

Anthropicclaude-fable-5
🌐 Web Search (Not Used) Extended
stop
Latency
1m 48s
client → response
Input Tokens
79,182
prompt tokens
Output
9,594
generated
Total Tokens
88,776
in + out
Billed Cost
$1.3115
OR Credits
Reasoning
534
thinking tokens
Model Output
claude-fable-5 — Canvas
⏱
Benchmark Run — Jul 19, 2026

DeepSeekdeepseek-v4-flash
🌐 Web Search (Not Used) Extended
stop
Latency
34s
client → response
Input Tokens
29,936
prompt tokens
Output
3,674
generated
Total Tokens
33,610
in + out
Billed Cost
$0.0294
OR Credits
Reasoning
441
thinking tokens
Model Output
deepseek-v4-flash — Canvas
⏱
Benchmark Run — Jul 19, 2026

Xiaomi (MiMo)mimo-v2.5
🌐 Web Search (Not Used) Extended
stop
Latency
14s
client → response
Input Tokens
30,438
prompt tokens
Output
1,163
generated
Total Tokens
31,601
in + out
Billed Cost
$0.0290
OR Credits
Reasoning
952
thinking tokens
Model Output
<tool_call>
<function=openrouter_web_search>
<parameter=query>"Gemini 2.5 Pro" general availability April 2025</parameter>
</function>
</tool_call>