AI Models · Open-Source vs Paid

Hy3 Open vs Gemini 3.1 Pro Preview Paid

Hy3 vs Gemini 3.1 Pro Preview 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 Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

Hy3 vs Gemini 3.1 Pro Preview specs

SpecHy3Gemini 3.1 Pro Preview
MakerTencentGoogle
TypeOpen-weightProprietary
Context window262K tokens1M tokens
Input price$0.13/M · free self-host$2/M
Output price$0.53/M · free self-host$12/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseOpen weightsProprietary

Feature comparison

CapabilityHy3Gemini 3.1 Pro Preview
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Hy3 vs Gemini 3.1 Pro Preview

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

Hy3 delivers 17× more intelligence per dollar.
Hy3
Gemini 3.1 Pro Preview
Intelligence index
41.2
46.5
Coding index
58.8
68.8
GPQA
89.7%
94.1%
Humanity's Last Exam
31.6%
44.7%
Long Context Reasoning
66.7%
72.7%
SciCode
47.6%
58.9%
τ-Bench Banking
20.8%
16.5%
Terminal-Bench
64.4%
73.8%
IFBench
77.1%
τ²-Bench
95.6%
Terminal-Bench Hard
53.8%
Speed
68.6 tok/s
144.6 tok/s
Latency
1.68s
23.2s
Intelligence per $
171
10.3

Benchmark data by Artificial Analysis.

How Hy3 and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Hy3 (4.5 vs 3.2 / 5)
CriterionHy3Gemini 3.1 Pro Preview
Cost-efficiency5.03.5
Context window4.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

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:...

Gemini 3.1 Pro Preview Paid

Google · Proprietary

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.

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
Other variants tracked
Gemini 3.1 Pro Preview (batch)Gemini 2.5 ProGemini 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06Gemini 3.1 Pro Preview Custom ToolsNano Banana Pro (Gemini 3 Pro Image)Google Gemini Pro Latest

Frequently asked questions

Is Hy3 as good as Gemini 3.1 Pro Preview?

Hy3 is open-weight and competitive on many tasks, but Gemini 3.1 Pro Preview 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. Gemini 3.1 Pro Preview is API-only and cannot be self-hosted.

How much cheaper is Hy3?

Hy3 costs $0.53/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 23x cheaper via API, and free if you self-host.

Hy3 vs Gemini 3.1 Pro Preview — 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 Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

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