Skip to main content

Hy3 Preview vs o1

Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.

Hy3 Preview

62

VS

o1

57

0 categoriesvs2 categories

Pick Hy3 Preview if you want the stronger benchmark profile. o1 only becomes the better choice if instruction following is the priority.

Category Radar

Head-to-Head by Category

Category Breakdown

Knowledge

o1
46.7vs75.7

+29.0 difference

Inst. Following

o1
63.1vs92.2

+29.1 difference

Operational Comparison

Hy3 Preview

o1

Price (per 1M tokens)

$0 / $0

$15 / $60

Speed

N/A

98 t/s

Latency (TTFT)

N/A

32.29s

Context Window

256K

200K

Quick Verdict

Pick Hy3 Preview if you want the stronger benchmark profile. o1 only becomes the better choice if instruction following is the priority.

Hy3 Preview is clearly ahead on the provisional aggregate, 62 to 57. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.

o1 is also the more expensive model on tokens at $15.00 input / $60.00 output per 1M tokens, versus $0.00 input / $0.00 output per 1M tokens for Hy3 Preview. That is roughly Infinityx on output cost alone. Hy3 Preview gives you the larger context window at 256K, compared with 200K for o1.

Benchmark Deep Dive

Frequently Asked Questions (3)

Which is better, Hy3 Preview or o1?

Hy3 Preview is ahead on BenchLM's provisional leaderboard, 62 to 57. The biggest single separator in this matchup is GPQA, where the scores are 87.2% and 75.7%.

Which is better for knowledge tasks, Hy3 Preview or o1?

o1 has the edge for knowledge tasks in this comparison, averaging 75.7 versus 46.7. Inside this category, GPQA is the benchmark that creates the most daylight between them.

Which is better for instruction following, Hy3 Preview or o1?

o1 has the edge for instruction following in this comparison, averaging 92.2 versus 63.1. Hy3 Preview stays close enough that the answer can still flip depending on your workload.

Related Comparisons

Last updated: May 11, 2026

The AI models change fast. We track them for you.

For engineers, researchers, and the plain curious — a weekly brief on new models, ranking shifts, and pricing changes.

Free. No spam. Unsubscribe anytime.