Head-to-Head Model Comparison

Hy3 vs Hy3 preview

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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Hy3Profile

Hy3 previewProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Tencent

Hy3

Ragionamento a Pesi Aperti

Hy3 di Tencent è un modello di IA progettato per il ragionamento Chain-of-Thought a pesi aperti ad alta efficienza algoritmica, con finestra di contesto da 262K, velocità di 85 token/s, indice di intelligenza di 81/100 e tariffa di accesso

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

Modello Base a Pesi Aperti

Hy3 preview di Tencent è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 262K, velocità di 88 token/s, indice di intelligenza di 79/100 e t

Intelligence Index79 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

Finestra di contesto da 262K con capacità massima di output fino a 16K token (GPQA Diamond 64% · MMLU-Pro 79%)
Throughput elevato di 85 token/secondo con latenza al primo token (TTFT) di soli 460 ms
Pesi aperti (Confidential / 140B MoE) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Hy3 preview · Strengths & Key Advantages

Finestra di contesto da 262K con capacità massima di output fino a 8K token (MMLU-Pro 76.5% · Arena Elo 1310)
Throughput elevato di 88 token/secondo con latenza al primo token (TTFT) di soli 440 ms
Pesi aperti (Confidential / 140B MoE) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Hy3 (Ideale per il ragionamento Chain-of-Thought a pesi aperti ad alta efficienza algoritmica, sistemi RAG aziendali e integrazioni API scalabili.) sia Hy3 preview (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Hy3 guida nei benchmark di ragionamento e programmazione, Hy3 preview garantisce una generazione più rapida e Hy3 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Hy3 o Hy3 preview?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Hy3. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Hy3 e Hy3 preview?+

Hy3 costa $0.00 / $0.00 per milione di token di input/output, mentre Hy3 preview costa $0.00 / $0.00. Nel costo combinato, Hy3 risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Hy3 supporta 262.1K token di contesto contro 262.1K token di Hy3 preview, mentre Hy3 preview offre una velocità di generazione superiore.

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

Cambia e Confronta Qualsiasi Modello

Hy3

Hy3 preview

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Hy3 · Strengths & Key Advantages

Considerations & Trade-offs

Hy3 preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Hy3 vs Hy3 preview: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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