Head-to-Head Model Comparison

ERNIE Lite vs Gemma 2

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

Cambia e Confronta Qualsiasi Modello

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

ERNIE LiteProfile

Gemma 2Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Baidu

ERNIE Lite

Modello Leggero ed Economico

ERNIE Lite di Baidu è un modello di IA progettato per la massima efficienza dei costi per token e l’inferenza rapida in produzione, con finestra di contesto da 128K, velocità di 190 token/s, indice di intelligenza di 65/100 e tariffa di acc

Intelligence Index65 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Google

Gemma 2

Modello Base a Pesi Aperti

Gemma 2 di Google 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 8K, velocità di 110 token/s, indice di intelligenza di 58/100 e tariffa

Intelligence Index58 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

8.2K 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.
ERNIE Lite has a larger context window (128K vs 8K tokens).
ERNIE Lite is faster at 190 tok/s vs 110 tok/s.

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

Feature	ERNIE Lite	Gemma 2
Intelligence Index Composite reasoning & knowledge score (0-100)	65	58
Provider	Baidu	Google
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	128K tokens~192 A4 pages of text	8.2K tokens~12 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	190 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Tied

Identical monthly runtime cost

Speed

ERNIE Lite

+73% faster generation

Context

ERNIE Lite

128K tokens window

Punteggi Benchmark Verificati

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

ERNIE LiteGemma 2

MMLU-Pro (Multi-task Language Understanding)

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

61%vs68.5%

LMSYS Chatbot Arena Elo

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

1180ptsvs1250pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

190 tok/s vs110 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

ERNIE Lite0.20s

Gemma 20.30s

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

ERNIE Lite2.83s

Gemma 24.85s

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)

ERNIE Lite Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Gemma 2 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

ERNIE Lite · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 4K token (MMLU-Pro 61% · Arena Elo 1180)
Throughput elevato di 190 token/secondo con latenza al primo token (TTFT) di soli 200 ms
Pesi aperti (Confidential / 3B Scale) 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

Gemma 2 · Strengths & Key Advantages

Finestra di contesto da 8K con capacità massima di output fino a 4K token (MMLU-Pro 68.5% · Arena Elo 1250)
Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 300 ms
Pesi aperti (2B / 9B / 27B) 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	ERNIE Lite	Gemma 2
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	6K	3K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	ERNIE Lite	Gemma 2
Official API Model ID (SDK)	ernie-lite	models/gemma-2
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date	2024-03	2024-06
Knowledge Cutoff	December 2023	May 2024
Architecture	Ultra-Lightweight Edge-Ready Transformer	Dense transformer with sliding window attention and soft-capping
Parameters	Confidential / 3B Scale	2B / 9B / 27B
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	Built-in Google Search Grounding + Managed Python Code Execution Sandbox
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) · 2 GB VRAM (4-bit Quantized) · 6 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 4 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Google DeepMind Frontier Safety Framework Verified
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

ERNIE Lite vs Gemma 2: Risposte Rapide (FAQ)

Which is more intelligent, ERNIE Lite or Gemma 2?

ERNIE Lite is more intelligent. It scores 65 compared with 58 on the composite Intelligence Index.

Which model is faster?

ERNIE Lite is faster, generating 190 tokens per second compared with 110 tokens per second.

Which model has lower latency?

ERNIE Lite has lower latency, with a time to first token of 0.20s compared with 0.30s.

Which model has a larger context window?

ERNIE Lite has a larger context window, supporting 128K tokens compared with 8.2K tokens.

Verdetto

Sia ERNIE Lite (Ideale per la massima efficienza dei costi per token e l’inferenza rapida in produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Gemma 2 (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: ERNIE Lite guida nei benchmark di ragionamento e programmazione, ERNIE Lite garantisce una generazione più rapida e ERNIE Lite offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, ERNIE Lite o Gemma 2?+

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

Qual è la differenza di prezzo API tra ERNIE Lite e Gemma 2?+

ERNIE Lite costa $0.00 / $0.00 per milione di token di input/output, mentre Gemma 2 costa $0.00 / $0.00. Nel costo combinato, ERNIE Lite risulta più economico.

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

ERNIE Lite supporta 128K token di contesto contro 8.2K token di Gemma 2, mentre ERNIE Lite 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)

ERNIE Lite vs Gemma 2

Cambia e Confronta Qualsiasi Modello

ERNIE Lite

Gemma 2

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

ERNIE Lite · Strengths & Key Advantages

Considerations & Trade-offs

Gemma 2 · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

ERNIE Lite vs Gemma 2: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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