Gemini 3.6 Flash vs Hy3

What I tested — same prompt, two models

I run the same fixed prompt set through every new model the day it drops — same string, one shot, single HTML file out — and I score the result 0–10 on whether it ran, how close it hit the brief, and how good it looked. Below is what came out when I gave the exact same prompts to Gemini 3.6 Flash and Hy3, side by side, on 7 shared tasks inside the Agent Operating System.

Both models were given identical prompts inside the Agent Operating System — no help, no iteration, no "best of N" tricks. I run each prompt once, save the HTML file the model produces, and score it 0–10 on whether it ran, how close it hit the brief, and how good it looked. The scoring is mine. The verdicts below are pulled from my source comparison guides at agentos.guide where I publish every score and the reasoning behind it.

Gemini 3.6 Flash · Benched via the native Gemini API on launch day. Game tasks use the skill-infused threejs-game-director prompt (same as the rest of the field) and are judged on a real mid-play frame by the same Opus vision judge.

Hy3 · Wired into the Agent OS as the 'Hy3 Coder' tab (chat + live preview + workspace) via OpenRouter. Bench built one-shot on the same prompts as the field; weak builds iterated by Hy3 itself (the model fixes its own builds).

Where Gemini 3.6 Flash beat Hy3

The tasks where I gave Gemini 3.6 Flash a higher 0–10 score on the same prompt — with the actual commentary from my source guides.

Strengths & weaknesses I logged

Pricing & context — the spec sheet

The verdict — which should you pick?

Across 7 scored shared tasks, Gemini 3.6 Flash averaged 7.89/10, beating Hy3's 6.76/10 by 1.13 points. Pick Gemini 3.6 Flash when the build has to ship on the first prompt and you can afford the trade-offs in the comparison below.

If you only run one of these inside your stack, the head-to-head average above is the call. If you can run both, my honest play is to wire Gemini 3.6 Flash and Hy3 both into the Agent Operating System and dispatch each from the kanban by task type — high-volume agentic work where token cost dominates → Gemini 3.6 Flash, cost-sensitive coding + frontend design where open weights matter → Hy3. That's the same setup I run for the 4,000+ founders inside the AI Profit Boardroom.

FAQ — Gemini 3.6 Flash vs Hy3

Which is better, Gemini 3.6 Flash or Hy3?

On Goldie Bench, Gemini 3.6 Flash averages 7.89/10 across the shared tasks, with 2 gold, 3 silver, 2 bronze overall. Hy3 averages 6.76/10, with 0 gold, 0 silver, 0 bronze. Gemini 3.6 Flash wins the head-to-head 7–0.

How much does Gemini 3.6 Flash cost vs Hy3?

Gemini 3.6 Flash: Launched 2026-07-21 alongside Gemini 3.5 Flash-Lite and 3.5 Flash Cyber. Google's pitch: higher intelligence than its predecessors on coding/ML/knowledge tasks while using 17% fewer output tokens, at a new lower price ($1.50 per million input tokens). Benched here via the native Gemini API on launch day. Hy3: Tencent Hunyuan 3 — open-weights under Apache-2.0, so free to self-host. On OpenRouter it is one of the cheapest capable coders: ~$0.14/M in, $0.58/M out (1 RMB / 4 RMB). Upstream can be slow (30-90s to first token), but per-token cost is negligible.

What's the context window for Gemini 3.6 Flash vs Hy3?

Gemini 3.6 Flash has a 1,000,000-token context window context window. Hy3 has a 262,144-token context window. Open weights (Apache-2.0) on HuggingFace / ModelScope / GitHub; benched here via OpenRouter. context window.

When should I pick Gemini 3.6 Flash over Hy3?

Pick Gemini 3.6 Flash for: High-volume agentic work where token cost dominates; Fast prototype builds you iterate on rather than one-shot masterpieces; Routing the everyday 90% while a flagship handles the hard 10%. The trade-off is the weaknesses we logged on the bench: Benched on launch day — partial run until the full 50-task batch completes; Flash tier, not a flagship — up against Pro/flagship-class models on this board.

When should I pick Hy3 over Gemini 3.6 Flash?

Pick Hy3 for: Cost-sensitive coding + frontend design where open weights matter; Self-hosters who want an Apache-2.0 model they fully own; Anyone wiring a cheap capable coder into a live build panel (Agent OS Hy3 Coder tab). The trade-off is the weaknesses we logged on the bench: Slow upstream on OpenRouter (30-90s per build) — fine for one-shots, sluggish for tight loops; One-shot game builds can under-render (flat raycaster walls, unlit 3D) without an iterate pass.

How does Goldie Bench score Gemini 3.6 Flash vs Hy3?

Every demo on this page was built by Julian Goldie inside the Agent Operating System — same fixed prompt for both models, one shot, single HTML file out. Each result gets a 0–10 score on whether it ran, how close it hit the brief, and how good it looked. The highest score on each task gets gold; second gets silver; third gets bronze. See methodology for full provenance.

Related comparisons

Other head-to-heads using the same scoring system:

Full model pages: Gemini 3.6 Flash · Hy3 · back to the leaderboard