Head-to-Head Model Comparison

DBRX Instruct vs ERNIE Lite

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Model Dasar Bobot Terbuka

DBRX Instruct dari Databricks adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 33K, kecepatan 75 token/detik, indeks kecerdasan 76/100, serta akses gra

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

Model Ringan & Hemat Biaya

ERNIE Lite dari Baidu adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 128K, kecepatan 190 token/detik, indeks kecerdasan 65/100, serta akses grati

Intelligence Index65 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

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

DBRX Instruct0.48s

ERNIE Lite0.20s

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

DBRX Instruct7.15s

ERNIE Lite2.83s

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)

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

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 74% · Arena Elo 1265)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
Bobot terbuka (132B total (36B 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

ERNIE Lite · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 4K token (MMLU-Pro 61% · Arena Elo 1180)
Kecepatan generasi tinggi 190 token/detik dengan latensi token pertama (TTFT) hanya 200 ms
Bobot terbuka (Confidential / 3B Scale) 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	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

Spesifikasi Teknis

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: Jawaban Cepat (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.

Kesimpulan

Baik DBRX Instruct (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun ERNIE Lite (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: DBRX Instruct unggul dalam penalaran dan pemrograman, ERNIE Lite memberikan kecepatan generasi token lebih tinggi, dan DBRX Instruct lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, DBRX Instruct atau ERNIE Lite?+

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

Berapa perbandingan harga API DBRX Instruct vs ERNIE Lite?+

DBRX Instruct mengenakan biaya $0.00 / $0.00 per 1M token input/output, sedangkan ERNIE Lite sebesar $0.00 / $0.00. Secara keseluruhan, DBRX Instruct lebih hemat biaya.

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

DBRX Instruct mendukung konteks 32.8K token dibandingkan 128K token pada ERNIE Lite, sementara ERNIE Lite 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)

DBRX Instruct vs ERNIE Lite

Ganti & Bandingkan Model Apa Saja

DBRX Instruct

ERNIE Lite

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

DBRX Instruct · Strengths & Key Advantages

Considerations & Trade-offs

ERNIE Lite · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

DBRX Instruct vs ERNIE Lite: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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