Head-to-Head Model Comparison

Hy3 vs Hy3 preview

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Hy3Profile

Hy3 previewProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Tencent

Hy3

Penalaran Bobot Terbuka

Hy3 dari Tencent adalah model AI yang dirancang untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, menghadirkan jendela konteks 262K, kecepatan 85 token/detik, indeks kecerdasan 81/100, serta akses gra

Intelligence Index81 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Tencent

Hy3 preview

Model Dasar Bobot Terbuka

Hy3 preview dari Tencent adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 262K, kecepatan 88 token/detik, indeks kecerdasan 79/100, serta akses gratis

Intelligence Index79 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

Both models cost the same under this workload — choose on capability, not price.
Hy3 preview is faster at 88 tok/s vs 85 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Feature	Hy3	Hy3 preview
Intelligence Index Composite reasoning & knowledge score (0-100)	81	79
Provider	Tencent	Tencent
Input Price Cost per million input tokens	$0.00 / 1M	$0.00 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$0.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.00 / 1M
Context Window Maximum input + output tokens	262.1K tokens~393 A4 pages of text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	16K	8K
Throughput Speed Tokens generated per second	85 tok/s	88 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	64%	N/A

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Tied

Identical monthly runtime cost

Speed

Hy3 preview

+4% faster generation

Context

Tied

262.1K tokens window

Skor Benchmark Terverifikasi

Official evaluation metrics verified by independent third-party research labs.

Hy3Hy3 preview

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

64%vsN/A

MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

79%vs76.5%

LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1330ptsvs1310pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

85 tok/s vs88 tok/s

Latensi & Waktu Respons

Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.

Time to First Token (TTFT)Lower is better

Hy30.46s

Hy3 preview0.44s

Est. End-to-End Response (500 tokens)TTFT + generation time

Hy36.34s

Hy3 preview6.12s

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% cached

0% (Cold)50%90% (Warm)

Hy3 Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Hy3 preview Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

These models cost the same under this workload — no savings either way.Break-even

Hy3 · Strengths & Key Advantages

Jendela konteks 262K dengan kapasitas output maksimum hingga 16K token (GPQA Diamond 64% · MMLU-Pro 79%)
Kecepatan generasi tinggi 85 token/detik dengan latensi token pertama (TTFT) hanya 460 ms
Bobot terbuka (Confidential / 140B MoE) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Hy3 preview · Strengths & Key Advantages

Jendela konteks 262K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 76.5% · Arena Elo 1310)
Kecepatan generasi tinggi 88 token/detik dengan latensi token pertama (TTFT) hanya 440 ms
Bobot terbuka (Confidential / 140B MoE) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

Metric	Hy3	Hy3 preview
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	18K	15K
Reasoning Tokens / Task Thinking tokens burned per task	5K	3K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Hy3	Hy3 preview
Official API Model ID (SDK)	hy3	hy3-preview
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-07	2026-04
Knowledge Cutoff	April 2026	February 2026
Architecture	Efficient Open Reasoning MoE Transformer	Preview Open Reasoning MoE Transformer
Parameters	Confidential / 140B MoE	Confidential / 140B MoE
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Free across full context window (only KV-cache VRAM scales)	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI Agent	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)	API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
MCP & Parallel Tool Calling	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema	Native MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & Sandbox	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 87 GB VRAM (4-bit Quantized) · 301 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 87 GB VRAM (4-bit Quantized) · 301 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text	text
Output Modalities	text	text

Hy3 vs Hy3 preview: Jawaban Cepat (FAQ)

Which is more intelligent, Hy3 or Hy3 preview?

Hy3 is more intelligent. It scores 81 compared with 79 on the composite Intelligence Index.

Which model is faster?

Hy3 preview is faster, generating 88 tokens per second compared with 85 tokens per second.

Which model has lower latency?

Hy3 preview has lower latency, with a time to first token of 0.44s compared with 0.46s.

Kesimpulan

Baik Hy3 (Sangat cocok untuk penalaran rantai pemikiran (Chain-of-Thought) berbobot terbuka yang sangat efisien, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Hy3 preview (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Hy3 unggul dalam penalaran dan pemrograman, Hy3 preview memberikan kecepatan generasi token lebih tinggi, dan Hy3 lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Hy3 atau Hy3 preview?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Hy3 memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Hy3 vs Hy3 preview?+

Hy3 mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan Hy3 preview sebesar $0.00 / $0.00. Secara keseluruhan, Hy3 lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Hy3 mendukung konteks 262.1K token dibandingkan 262.1K token pada Hy3 preview, sementara Hy3 preview unggul dalam kecepatan output token per detik.

AI Terminology & Guide

Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Hy3 vs Hy3 preview

Ganti & Bandingkan Model Apa Saja

Hy3

Hy3 preview

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Hy3 · Strengths & Key Advantages

Considerations & Trade-offs

Hy3 preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Hy3 vs Hy3 preview: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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