AI Models · Open-Source vs Paid

Hy3 Open vs INRing-2.6-1T Paid

Hy3 vs Ring-2.6-1T compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Choose Hy3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Ring-2.6-1T if you want frontier capability through a managed API with zero infrastructure to run.

Hy3 vs Ring-2.6-1T specs

SpecHy3Ring-2.6-1T
MakerTencentInclusionAI
TypeOpen-weightProprietary
Context window262K tokens262K tokens
Input price$0.13/M · free self-host$0.08/M
Output price$0.53/M · free self-host$0.63/M
Vision / multimodalNoNo
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseOpen weightsProprietary

Feature comparison

CapabilityHy3Ring-2.6-1T
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Hy3 vs Ring-2.6-1T

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Hy3 delivers 4.8× more intelligence per dollar.
Hy3
Ring-2.6-1T
Intelligence index
41.2
30.6
Coding index
58.8
42.8
GPQA
89.7%
85.7%
Humanity's Last Exam
31.6%
18.3%
Long Context Reasoning
66.7%
64.3%
SciCode
47.6%
42.4%
τ-Bench Banking
20.8%
14.2%
Terminal-Bench
64.4%
43.1%
IFBench
44.6%
τ²-Bench
92.4%
Terminal-Bench Hard
28.8%
Speed
68.6 tok/s
130.6 tok/s
Latency
1.68s
1.82s
Intelligence per $
171
36

Benchmark data by Artificial Analysis.

How Hy3 and Ring-2.6-1T score

🏆 Best value & openness: Hy3 (4.5 vs 3.0 / 5)
CriterionHy3Ring-2.6-1T
Cost-efficiency5.05.0
Context window4.04.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.53.5

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Hy3 Open

Tencent · Open-weight

Hy3 is a 295B-parameter Mixture-of-Experts model from Tencent (21B active, 192 experts with top-8 routing) built for reasoning, agentic workflows, and real-world production use. It supports a configurable reasoning effort:...

Ring-2.6-1T Paid

InclusionAI · Proprietary

Ring-2.6-1T is a 1T-parameter-scale thinking model with 63B active parameters, built for real-world agent workflows that require both strong capability and operational efficiency. It is optimized for coding agents, tool...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Hy3 previewHunyuan A13B Instruct

Frequently asked questions

Is Hy3 as good as Ring-2.6-1T?

Hy3 is open-weight and competitive on many tasks, but Ring-2.6-1T may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Hy3 locally?

Yes. Hy3 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Ring-2.6-1T is API-only and cannot be self-hosted.

Hy3 vs Ring-2.6-1T — which should I pick in 2026?

Choose Hy3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Ring-2.6-1T if you want frontier capability through a managed API with zero infrastructure to run.

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