AI Models · Open-Source vs Paid

Hy3 Open vs Gemini 3.5 Flash Paid

Hy3 vs Gemini 3.5 Flash 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

Hy3 vs Gemini 3.5 Flash specs

SpecHy3Gemini 3.5 Flash
MakerTencentGoogle
TypeOpen-weightProprietary
Context window262K tokens1M tokens
Input price$0.13/M · free self-host$1.5/M
Output price$0.53/M · free self-host$9/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseOpen weightsProprietary

Feature comparison

CapabilityHy3Gemini 3.5 Flash
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Hy3 vs Gemini 3.5 Flash

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

Hy3 delivers 11× more intelligence per dollar.
Hy3
Gemini 3.5 Flash
Intelligence index
41.2
50.2
Coding index
58.8
70.1
GPQA
89.7%
92.2%
Humanity's Last Exam
31.6%
41%
Long Context Reasoning
66.7%
69.3%
SciCode
47.6%
53.1%
τ-Bench Banking
20.8%
25.4%
Terminal-Bench
64.4%
78.7%
IFBench
76.3%
τ²-Bench
95.3%
Terminal-Bench Hard
40.9%
Speed
68.6 tok/s
243 tok/s
Latency
1.68s
13.71s
Intelligence per $
171
14.9

Benchmark data by Artificial Analysis.

How Hy3 and Gemini 3.5 Flash score

🏆 Best value & openness: Hy3 (4.5 vs 3.2 / 5)
CriterionHy3Gemini 3.5 Flash
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 3.5 Flash Paid

Google · Proprietary

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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 3.5 Flash (batch)Gemini 3.6 FlashGemini 3.6 Flash (batch)Gemini 3 Flash PreviewGemini 3 Flash Preview (batch)Gemini 2.5 FlashGemini 2.5 Flash (batch)Google Gemini Flash LatestNano Banana 2 (Gemini 3.1 Flash Image)Nano Banana (Gemini 2.5 Flash Image)

Frequently asked questions

Is Hy3 as good as Gemini 3.5 Flash?

Hy3 is open-weight and competitive on many tasks, but Gemini 3.5 Flash 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 3.5 Flash is API-only and cannot be self-hosted.

How much cheaper is Hy3?

Hy3 costs $0.53/M output vs $9/M for Gemini 3.5 Flash — roughly 17x cheaper via API, and free if you self-host.

Hy3 vs Gemini 3.5 Flash — 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

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