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Selected models · 2
Shared benchmarks · 0
Current leader · Hy3-preview (Reasoning)
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Current frameBest for this use caseEveryday chatbot · All public sources
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Hy3-preview (Reasoning) vs alpaca-13b
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Compare · Everyday chatbot · best for this use case

Hy3-preview (Reasoning) leads this compare set for everyday chatbot.

Hy3-preview (Reasoning)closest: alpaca-13b
Thin verified coverage

The current preset is supported by visible benchmark evidence.

Shared tests
0
Close calls
0
Sources
All public
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Decision detail

Read this page as a workspace for choosing between top models, not as a universal crown. The current frame is Everyday chatbot under best for this use case.

Why the leader is ahead
Reasoning / math / science
Where the evidence is thin
0 close-call benchmarks and 96 missing missing leader rows keep this from reading as settled.
What to do next
Inspect decisive benchmarks first, then open the disagreement page or head-to-head pages if the top line still feels too narrow.
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0 of 114 benchmarks
No benchmarks match the current compare filters.
0-0 of 0
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Decisive benchmarks

What is doing the visible work

No decisive benchmark
The shared tests are too split or too sparse for a clean separator.
Decision pressure

What changes the winner

Hy3-preview (Reasoning)
96 visible benchmark gaps still leave room for the result to move.
alpaca-13b
113 visible benchmark gaps still leave room for the result to move.
Coverage gaps

Where evidence is missing

Hy3-preview (Reasoning)
Missing visible evidence on this compare surface
96
alpaca-13b
Missing visible evidence on this compare surface
113
Preset interpretation

How this weighting reads the field

The current decision mode is grounded in the Everyday chatbot preset. This keeps the compare page connected to a visible use case instead of an unspoken “overall winner” claim.

score = 1.35 × chat text + 1.00 × reasoning math science + 0.85 × long contextcoverage floor = 60% · recency window = 120 days
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Debate Hy3-preview (Reasoning) vs alpaca-13b
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Model compareHy3-preview (Reasoning) leads this compare set for everyday chatbot.

Runner-up: alpaca-13b · 0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.

Report/artifacts/compare?models=hy3,alpaca-13b&mode=best-for-this-use-case&preset=everyday-chatbot
Card image/api/og?kind=compare&models=hy3,alpaca-13b&mode=best-for-this-use-case&preset=everyday-chatbot
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Advanced framings and X composerNeutral, contrarian, open-model, and skeptical variants
Model compare

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Neutral analystLead with the recommendation, then attach the reason and warning.Hy3-preview (Reasoning) leads this compare set for everyday chatbot.
ContrarianPush against the easy read and keep the strongest alternative live.Contrarian take: Hy3-preview (Reasoning) leads this compare set for everyday chatbot.
Open-model angleBias the framing toward open weights and source transparency.Open-model angle: Model compare · Hy3-preview (Reasoning) vs alpaca-13b
Don't trust the headlineLead with the warning before you let the claim travel.Don't trust the headline: Model compare · Hy3-preview (Reasoning) vs alpaca-13b
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HeadlineHy3-preview (Reasoning) leads this compare set for everyday chatbot.
WhyThe visible source data changed enough to change the recommendation.
Warning0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.
Source link/artifacts/compare?models=hy3,alpaca-13b&mode=best-for-this-use-case&preset=everyday-chatbot
Discussion questionIf you still back alpaca-13b, which test should matter more?
PreviewOver 280
Hy3-preview (Reasoning) leads this compare set for everyday chatbot.
The visible source data changed enough to change the recommendation.
Warning: 0 shared benchmarks are still too close to call, so the win stays conditional. This compare uses all public sources, with provider-official evidence labeled separately.
Source data: /artifacts/compare?models=hy3,alpaca-13b&mode=best-for-this-use-case&preset=everyday-chatbot
Question: If you still back alpaca-13b, which test should matter more?
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Reading guide

How to read this workspace

Who wins most oftenBenchmarks with one clear percentile leader.Missing evidenceBenchmarks where a top model has no visible score.Decision readA public claim tied to an explicit use case and source filter.