Head-to-Head Model Comparison

ERNIE 4.5 vs QwQ Plus

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.

ERNIE 4.5Profile

QwQ PlusProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Baidu

ERNIE 4.5

Model Unggulan Garis Depan

ERNIE 4.5 dari Baidu adalah model AI yang dirancang untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, menghadirkan jendela konteks 128K, kecepatan 75 token/detik, indeks kecerdasan 81/100, serta tarif $0.6

Intelligence Index81 / 100

Input Token:

$0.60 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

N/A

Alibaba

QwQ Plus

Mesin Penalaran Mendalam

QwQ Plus dari Alibaba adalah model AI yang dirancang untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, menghadirkan jendela konteks 131K, kecepatan 70 token/detik, indeks kecerdasan 84/100, serta tarif $0.4/$1.

Intelligence Index84 / 100

Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45%

Perbedaan Utama Sekilas

QwQ Plus is 1.5x cheaper for API usage (input + output tokens combined).
QwQ Plus has a larger context window (131K vs 128K tokens).
ERNIE 4.5 is faster at 75 tok/s vs 70 tok/s.

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

Feature	ERNIE 4.5	QwQ Plus
Intelligence Index Composite reasoning & knowledge score (0-100)	81	84
Provider	Baidu	Alibaba
Input Price Cost per million input tokens	$0.60 / 1M	$0.40 / 1M
Output Price Cost per million output tokens	$2.40 / 1M	$1.60 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.40 / 1M	$0.27 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	131.1K tokens~197 A4 pages of text
Max Output Tokens Per single request	8K	16K
Throughput Speed Tokens generated per second	75 tok/s	70 tok/s
SWE-bench Verified Real-world software engineering	N/A	45%
GPQA Diamond Graduate-level reasoning	60%	65.2%
Cached Input Price Prompt caching discount per 1M tokens	$0.06 / 1M	$0.04 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

QwQ Plus

1.5x cheaper monthly runtime

Speed

ERNIE 4.5

+7% faster generation

Context

QwQ Plus

131.1K tokens window

Skor Benchmark Terverifikasi

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

ERNIE 4.5QwQ Plus

SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

N/Avs45%

GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

60%vs65.2%

MMLU-Pro (Multi-task Language Understanding)

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

78.5%vs82%

LMSYS Chatbot Arena Elo

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

1325ptsvs1335pts

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

N/Avs62%

AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs80%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

75 tok/s vs70 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

ERNIE 4.50.51s

QwQ Plus0.85s

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

ERNIE 4.57.18s

QwQ Plus7.99s

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)

ERNIE 4.5 Monthly API Bill

$3.15 / month

$0.6/1M in · $2.4/1M out

QwQ Plus Monthly API Bill

$2.10 / month

$0.4/1M in · $1.6/1M out

QwQ Plus saves approximately $1.05 / month (33%) under this workload.1.5x Savings

ERNIE 4.5 · Strengths & Key Advantages

Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (GPQA Diamond 60% · MMLU-Pro 78.5%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 510 ms
Skema harga API kompetitif (tarif $0.6/$2.4 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

QwQ Plus · Strengths & Key Advantages

Jendela konteks 131K dengan kapasitas output maksimum hingga 16K token (SWE-bench Verified 45% · GPQA Diamond 65.2%)
Kecepatan generasi tinggi 70 token/detik dengan latensi token pertama (TTFT) hanya 850 ms
Skema harga API kompetitif (tarif $0.4/$1.6 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur

Considerations & Trade-offs

Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
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	ERNIE 4.5	QwQ Plus
Cost per Task Estimated USD to finish one task	$0.16	$0.12
Output Tokens / Task Tokens generated per task	18K	24K
Reasoning Tokens / Task Thinking tokens burned per task	4K	14K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	ERNIE 4.5	QwQ Plus
Official API Model ID (SDK)	ernie-4-5	qwq-plus-instruct
API Protocol	Baidu REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2025-03	2025-03
Knowledge Cutoff	December 2024	January 2025
Architecture	Multimodal Foundation Knowledge Transformer	Deep Reasoning Chain-of-Thought Transformer
Parameters	Confidential	32B (Distilled Reasoning Engine)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.6/1M in) across full 128K window	Flat rate ($0.4/1M in) across full 131K window
Prompt Cache Policy & TTL	Cached input at $0.06/1M tokens	Cached input at $0.04/1M tokens
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	API Prompt Engineering & RAG Distillation	API Prompt Engineering & RAG Distillation
Multimodal Token Billing	Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Baidu Production Safety & Alignment Verified	Alibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier	SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalities	text, vision, audio	text
Output Modalities	text	text

ERNIE 4.5 vs QwQ Plus: Jawaban Cepat (FAQ)

Which is more intelligent, ERNIE 4.5 or QwQ Plus?

QwQ Plus is more intelligent. It scores 84 compared with 81 on the composite Intelligence Index.

Which model is faster?

ERNIE 4.5 is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model is cheaper to run?

QwQ Plus is cheaper at $0.27 per 1M tokens blended, compared with $0.40 (7:2:1 cache:input:output ratio).

Which model has lower latency?

ERNIE 4.5 has lower latency, with a time to first token of 0.51s compared with 0.85s.

Which model has a larger context window?

QwQ Plus has a larger context window, supporting 131.1K tokens compared with 128K tokens.

Kesimpulan

Baik ERNIE 4.5 (Sangat cocok untuk penalaran perusahaan garis depan, pemrograman tingkat lanjut, dan produksi AI, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun QwQ Plus (Sangat cocok untuk penalaran logis mendalam, matematika tingkat lanjut, dan analisis ilmiah, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: QwQ Plus unggul dalam penalaran dan pemrograman, ERNIE 4.5 memberikan kecepatan generasi token lebih tinggi, dan QwQ Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, ERNIE 4.5 atau QwQ Plus?+

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

Berapa perbandingan harga API ERNIE 4.5 vs QwQ Plus?+

ERNIE 4.5 mengenakan biaya $0.60 / $2.40 per 1M token input/output, sedangkan QwQ Plus sebesar $0.40 / $1.60. Secara keseluruhan, QwQ Plus lebih hemat biaya.

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

ERNIE 4.5 mendukung konteks 128K token dibandingkan 131.1K token pada QwQ Plus, sementara ERNIE 4.5 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)

ERNIE 4.5 vs QwQ Plus

Ganti & Bandingkan Model Apa Saja

ERNIE 4.5

QwQ Plus

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

ERNIE 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

QwQ Plus · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

ERNIE 4.5 vs QwQ Plus: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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