Head-to-Head Model Comparison

Gemma 4 E4B vs Hy3 preview

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial

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Gemma 4 E4BProfile

Hy3 previewProfile

Multi-Model Arena Stack:

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Popular Matchups:

Google

Gemma 4 E4B

Modelo Base de Pesos Abertos

O Gemma 4 E4B da Google é um modelo de IA projetado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, oferecendo janela de contexto de 131K, velocidade de 190 tokens/s, índice de inteligência de 65/100 e tari

Intelligence Index65 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

Tencent

Hy3 preview

Modelo Base de Pesos Abertos

O Hy3 preview da Tencent é um modelo de IA projetado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, oferecendo janela de contexto de 262K, velocidade de 88 tokens/s, índice de inteligência de 79/100 e tari

Intelligence Index79 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

N/A

Principais Diferenças em Resumo

Both models cost the same under this workload — choose on capability, not price.
Hy3 preview has a larger context window (262K vs 131K tokens).
Gemma 4 E4B is faster at 190 tok/s vs 88 tok/s.

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

Feature	Gemma 4 E4B	Hy3 preview
Intelligence Index Composite reasoning & knowledge score (0-100)	65	79
Provider	Google	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	131.1K tokens~197 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	190 tok/s	88 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A

Quem vence em cada categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Tied

Identical monthly runtime cost

Speed

Gemma 4 E4B

+116% faster generation

Context

Hy3 preview

262.1K tokens window

Pontuações de Benchmarks Verificadas

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

Gemma 4 E4BHy3 preview

MMLU-Pro (Multi-task Language Understanding)

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

74%vs76.5%

LMSYS Chatbot Arena Elo

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

1320ptsvs1310pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

190 tok/s vs88 tok/s

Latência e Tempo de Resposta

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

Gemma 4 E4B0.22s

Hy3 preview0.44s

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

Gemma 4 E4B2.85s

Hy3 preview6.12s

Simulador Interativo de Custo de Tokens

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)

Gemma 4 E4B 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

Gemma 4 E4B · Strengths & Key Advantages

Janela de contexto de 131K com limite máximo de saída de 16K tokens (MMLU-Pro 74% · Arena Elo 1320)
Taxa de transferência rápida de 190 tokens/segundo com latência inicial (TTFT) de 220 ms
Pesos abertos (E4B (4B)) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama

Considerations & Trade-offs

Requer servidores GPU com memória VRAM adequada para execução local em precisão total
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Hy3 preview · Strengths & Key Advantages

Janela de contexto de 262K com limite máximo de saída de 8K tokens (MMLU-Pro 76.5% · Arena Elo 1310)
Taxa de transferência rápida de 88 tokens/segundo com latência inicial (TTFT) de 440 ms
Pesos abertos (Confidential / 140B MoE) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama

Considerations & Trade-offs

Requer servidores GPU com memória VRAM adequada para execução local em precisão total
Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

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

Metric	Gemma 4 E4B	Hy3 preview
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	4K	15K
Reasoning Tokens / Task Thinking tokens burned per task	1K	3K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

Feature	Gemma 4 E4B	Hy3 preview
Official API Model ID (SDK)	models/gemma-4-e4b	hy3-preview
API Protocol	Google Gemini API (generateContent) + OpenAI-Compatible SDK	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2026-04	2026-04
Knowledge Cutoff	January 2026	February 2026
Architecture	Edge-optimized dense open transformer	Preview Open Reasoning MoE Transformer
Parameters	E4B (4B)	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	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox	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) · Vision (~258–765 tokens per image tile)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 9 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	Google DeepMind Frontier Safety Framework Verified	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, vision	text
Output Modalities	text	text

Gemma 4 E4B vs Hy3 preview: Respostas Rápidas (FAQ)

Which is more intelligent, Gemma 4 E4B or Hy3 preview?

Hy3 preview is more intelligent. It scores 79 compared with 65 on the composite Intelligence Index.

Which model is faster?

Gemma 4 E4B is faster, generating 190 tokens per second compared with 88 tokens per second.

Which model has lower latency?

Gemma 4 E4B has lower latency, with a time to first token of 0.22s compared with 0.44s.

Which model has a larger context window?

Hy3 preview has a larger context window, supporting 262.1K tokens compared with 131.1K tokens.

Veredito

Tanto Gemma 4 E4B (Indicado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, arquiteturas RAG corporativas e integração escalável via API.) quanto Hy3 preview (Indicado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Hy3 preview lidera em inteligência geral e programação, Gemma 4 E4B oferece geração mais rápida e Gemma 4 E4B apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Gemma 4 E4B ou Hy3 preview?+

Nas avaliações de inteligência e código, Hy3 preview leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Gemma 4 E4B ou Hy3 preview?+

O Gemma 4 E4B custa $0.00 / $0.00 por 1M de tokens (entrada/saída) e o Hy3 preview custa $0.00 / $0.00. No custo combinado, Gemma 4 E4B é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Gemma 4 E4B suporta 131.1K tokens de contexto contra 262.1K tokens do Hy3 preview, enquanto Gemma 4 E4B entrega maior velocidade de geração.

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)

Gemma 4 E4B vs Hy3 preview

Troque e Compare Qualquer Modelo

Gemma 4 E4B

Hy3 preview

Quem vence em cada categoria?

Pontuações de Benchmarks Verificadas

Latência e Tempo de Resposta

Simulador Interativo de Custo de Tokens

Gemma 4 E4B · Strengths & Key Advantages

Considerations & Trade-offs

Hy3 preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificações Técnicas

Gemma 4 E4B vs Hy3 preview: Respostas Rápidas (FAQ)

Veredito

Perguntas Frequentes (FAQ)

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