Head-to-Head Model Comparison

DBRX Instruct vs ERNIE Lite

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.

DBRX InstructProfile

ERNIE LiteProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Databricks

DBRX Instruct

Modello Base a Pesi Aperti

DBRX Instruct di Databricks 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 33K, velocità di 75 token/s, indice di intelligenza di 76/100

Intelligence Index76 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

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

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 33K tokens).
ERNIE Lite is faster at 190 tok/s vs 75 tok/s.

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

Feature	DBRX Instruct	ERNIE Lite
Intelligence Index Composite reasoning & knowledge score (0-100)	76	65
Provider	Databricks	Baidu
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	32.8K tokens~49 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	75 tok/s	190 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

+153% faster generation

Context

ERNIE Lite

128K tokens window

Punteggi Benchmark Verificati

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

DBRX InstructERNIE Lite

MMLU-Pro (Multi-task Language Understanding)

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

74%vs61%

LMSYS Chatbot Arena Elo

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

1265ptsvs1180pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs190 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

DBRX Instruct0.48s

ERNIE Lite0.20s

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

DBRX Instruct7.15s

ERNIE Lite2.83s

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)

DBRX Instruct Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

ERNIE Lite 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

DBRX Instruct · Strengths & Key Advantages

Finestra di contesto da 33K con capacità massima di output fino a 4K token (MMLU-Pro 74% · Arena Elo 1265)
Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 480 ms
Pesi aperti (132B total (36B 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

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

Token Use & Task Economics

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

Metric	DBRX Instruct	ERNIE Lite
Cost per Task Estimated USD to finish one task	$0.00	$0.00
Output Tokens / Task Tokens generated per task	14K	6K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	DBRX Instruct	ERNIE Lite
Official API Model ID (SDK)	dbrx-instruct	ernie-lite
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2024-03	2024-03
Knowledge Cutoff	December 2023	December 2023
Architecture	Fine-Grained Sparse Mixture-of-Experts Transformer	Ultra-Lightweight Edge-Ready Transformer
Parameters	132B total (36B active MoE)	Confidential / 3B Scale
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) · 82 GB VRAM (4-bit Quantized) · 284 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 2 GB VRAM (4-bit Quantized) · 6 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

DBRX Instruct vs ERNIE Lite: Risposte Rapide (FAQ)

Which is more intelligent, DBRX Instruct or ERNIE Lite?

DBRX Instruct is more intelligent. It scores 76 compared with 65 on the composite Intelligence Index.

Which model is faster?

ERNIE Lite is faster, generating 190 tokens per second compared with 75 tokens per second.

Which model has lower latency?

ERNIE Lite has lower latency, with a time to first token of 0.20s compared with 0.48s.

Which model has a larger context window?

ERNIE Lite has a larger context window, supporting 128K tokens compared with 32.8K tokens.

Verdetto

Sia DBRX Instruct (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) 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.) eccellono in produzione: DBRX Instruct guida nei benchmark di ragionamento e programmazione, ERNIE Lite garantisce una generazione più rapida e DBRX Instruct offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, DBRX Instruct o ERNIE Lite?+

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

Qual è la differenza di prezzo API tra DBRX Instruct e ERNIE Lite?+

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

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

DBRX Instruct supporta 32.8K token di contesto contro 128K token di ERNIE Lite, 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)

DBRX Instruct vs ERNIE Lite

Cambia e Confronta Qualsiasi Modello

DBRX Instruct

ERNIE Lite

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

DBRX Instruct · Strengths & Key Advantages

Considerations & Trade-offs

ERNIE Lite · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

DBRX Instruct vs ERNIE Lite: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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