Olmo 3 (AI2) vs Hunyuan 3 (Tencent Hy3)

Which one should you pick? Here's the full breakdown.

Olmo 3 (AI2)

B
7.9/10

Allen Institute for AI's fully-open frontier reasoning models -- Olmo 3 family (2025-11-20) includes 7B and 32B sizes, four variants (Base, Think, Instruct, RLZero). Apache 2.0 with fully open data + checkpoints + training logs. Olmo 3-Think 32B matches Qwen3-32B-Thinking at 6x fewer training tokens

Our Pick

Hunyuan 3 (Tencent Hy3)

A
8.1/10

Tencent's Hy3 Preview launched 2026-04-23 -- 295B total / 21B active MoE, 256K context, open-sourced on HuggingFace under tencent/Hy3-preview. Cheapest frontier-class API at ~1.2 RMB per million input tokens. Integrated into Yuanbao, WeChat, QQ

CategoryOlmo 3 (AI2)Hunyuan 3 (Tencent Hy3)
Ease of Use6.07.0
Output Quality8.08.0
Value9.59.5
Features8.08.0
Overall7.98.1

Pricing Comparison

FeatureOlmo 3 (AI2)Hunyuan 3 (Tencent Hy3)
Free TierYesYes
Starting Price$0$0

Which Should You Pick?

Pick Olmo 3 (AI2) if...

AI researchers doing reproducibility work, training-data studies, instruction-tuning research, or RLHF-free (RLZero) experimentation. Also valuable for academic institutions and non-profits that want to use an open-weight model whose provenance is fully auditable. Good as a teaching / learning model where inspecting checkpoints matters.

Visit Olmo 3 (AI2)

Pick Hunyuan 3 (Tencent Hy3) if...

  • Easier to use (7 vs 6)

Chinese-market builders, multilingual products that need strong CN performance, and cost-sensitive developers who want frontier-class quality at sub-DeepSeek pricing. Also anyone watching the open-weights field who wants Tencent's distribution-backed entry on the bench.

Visit Hunyuan 3 (Tencent Hy3)

Our Verdict

Olmo 3 (AI2) and Hunyuan 3 (Tencent Hy3) are extremely close overall. Your choice comes down to specific needs -- Olmo 3 (AI2) is better for ai researchers doing reproducibility work, training-data studies, instruction-tuning research, or rlhf-free (rlzero) experimentation, while Hunyuan 3 (Tencent Hy3) works best for chinese-market builders, multilingual products that need strong cn performance, and cost-sensitive developers who want frontier-class quality at sub-deepseek pricing.