Gemini 3.6 Flash vs Hy3
At a Glance
| Compare |  Gemini 3.6 FlashGoogle DeepMind |  Hy3Tencent |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #19 of 4666.4 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #11 of 44$0.055 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #5 of 3863.7 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.75Google AI ↗ · Aug 29, 2026 | $0.13Deepinfra ↗ · Sep 23, 2026 |
| Output priceFrom · USD / 1M tokens | $3.75Google AI ↗ · Aug 29, 2026 | $0.528Openrouter ↗ · Sep 23, 2026 |
| Context windowMaximum documented tokens | 1,049K | 262K |
| Model facts checked | Aug 29, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Gemini 3.6 Flash | Hy3 |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · statistical tie | -5.9499% of row best · score · Gemini 3.6 Flash (High); 95% CI [-6.96648084, -4.90883694]; sessions 20773; observations 1181765; rank 39 | -5.23100% of row best · score · Hy3; 95% CI [-6.39472360, -4.07137134]; sessions 27371; observations 992576; rank 35 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,476.14100% of row best · rating · gemini-3.6-flash-high; 95% CI [1471.32576175, 1480.95948376]; votes 26445; rank 18 | 1,440.5898% of row best · rating · hy3; 95% CI [1433.39024152, 1447.77894384]; votes 8047; rank 65 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winNo overall winner | 0 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemini 3.6 Flash | Hy3 |
|---|---|---|
| Developer | Google DeepMind | Tencent |
| Family | Gemini 3 | Hy3 |
| Model | Gemini 3.6 Flash | Hy3 |
| Version | Gemini 3.6 Flash | Hy3 |
| Lifecycle | active | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image, Video, Audio, Document | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 262K |
| Total parameters | Unknown | 298.8B |
| Active parameters | Unknown | 21B |
| License | Unknown | apache-2.0 |
| Open weights | No | Yes |
| API available | Yes | Yes |
| Self-hostable | No | Yes |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, generation, tools |
Gemini 3.6 Flash Capabilities
Hy3 Capabilities
Related Comparisons
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|---|---|---|---|
Gemini 3.6 FlashGoogle DeepMind | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.1 ProGoogle DeepMind | vs | Gemini 3.6 FlashGoogle DeepMind | family variantstext |
 DeepSeek-V4.1-FlashDeepSeek | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Grok 4.6xAI | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Qwen3.8-MaxQwen | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  GLM-5.3Z.ai | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs | Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | Gemini 3.6 FlashGoogle DeepMind | cross-developer peerstext |
Gemini 3.6 FlashGoogle DeepMind | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
Gemini 3.6 Flash vs Hy3 FAQs
Is Gemini 3.6 Flash or Hy3 better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.6 Flash and Hy3, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.6 Flash or Hy3?+
Gemini 3.6 Flash is $0.75 and Hy3 is $0.13 per million tokens, so Hy3 is cheaper on this metric. Gemini 3.6 Flash is $3.75 and Hy3 is $0.528 per million tokens, so Hy3 is cheaper on this metric.
Which has a larger context window, Gemini 3.6 Flash or Hy3?+
Gemini 3.6 Flash has the larger sourced context window. Gemini 3.6 Flash supports 1,049K and Hy3 supports 262K.
Which performs better in benchmarks, Gemini 3.6 Flash or Hy3?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can Gemini 3.6 Flash or Hy3 be self-hosted?+
Hy3 is the only model in this pair currently marked as self-hostable. Gemini 3.6 Flash is not marked open weight; Hy3 is open weight.
Can Gemini 3.6 Flash and Hy3 understand images?+
Gemini 3.6 Flash is documented with image input; Hy3 is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.6 Flash or Hy3?+
Neither has a larger sourced maximum output. Gemini 3.6 Flash is 66K and Hy3 is —.
Do Gemini 3.6 Flash and Hy3 support reasoning and tool use?+
Gemini 3.6 Flash: reasoning, tool calling, and image input. Hy3: tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.6 Flash or Hy3?+
Gemini 3.6 Flash has 2 sourced provider routes; Hy3 has 3, so Hy3 has broader tracked availability.
Which offers better value, Gemini 3.6 Flash or Hy3?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.