Head-to-Head Model Comparison

ERNIE 4.5 vs QwQ Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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ERNIE 4.5Profile

QwQ PlusProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Baidu

ERNIE 4.5

Frontier-Flaggschiff-Modell

ERNIE 4.5 von Baidu ist ein KI-Modell für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows mit 128K Kontextfenster, 75 Token/s Durchsatz, einem Intelligenz-Index von 81/100 und $0.6/$2.4 pro 1M Token.

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

Deep-Reasoning-Engine

QwQ Plus von Alibaba ist ein KI-Modell für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen mit 131K Kontextfenster, 70 Token/s Durchsatz, einem Intelligenz-Index von 84/100 und $0.4/$1.6 pro 1M Token.

Intelligence Index84 / 100

Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45%

Wichtigste Unterschiede auf einen Blick

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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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

128K Kontextfenster und bis zu 8K maximale Output-Token (GPQA Diamond 60% · MMLU-Pro 78.5%)
Hohe Generierungsgeschwindigkeit von 75 Token/Sekunde bei nur 510 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.6/$2.4 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

QwQ Plus · Strengths & Key Advantages

131K Kontextfenster und bis zu 16K maximale Output-Token (SWE-bench Verified 45% · GPQA Diamond 65.2%)
Hohe Generierungsgeschwindigkeit von 70 Token/Sekunde bei nur 850 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.4/$1.6 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

Technische Spezifikationen

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: Schnelle Antworten (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.

Fazit

Sowohl ERNIE 4.5 (Optimal für anspruchsvolles Enterprise-Reasoning, Softwareentwicklung und produktive KI-Workflows, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch QwQ Plus (Optimal für tiefgehendes logisches Denken, komplexe Mathematik und wissenschaftliche Analysen, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: QwQ Plus führt bei komplexem Reasoning und Coding, ERNIE 4.5 liefert den höheren Token-Durchsatz und QwQ Plus ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – ERNIE 4.5 oder QwQ Plus?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt QwQ Plus vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von ERNIE 4.5 und QwQ Plus?+

ERNIE 4.5 kostet $0.60 / $2.40 pro 1M Input-/Output-Tokens, QwQ Plus liegt bei $0.40 / $1.60. Beim gewichteten Gesamtpreis ist QwQ Plus günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

ERNIE 4.5 bietet 128K Tokens Kontext gegenüber 131.1K Tokens bei QwQ Plus. Bei der Generierungsgeschwindigkeit liegt ERNIE 4.5 vorn.

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

Beliebige Modelle wechseln & vergleichen

ERNIE 4.5

QwQ Plus

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

ERNIE 4.5 · Strengths & Key Advantages

Considerations & Trade-offs

QwQ Plus · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

ERNIE 4.5 vs QwQ Plus: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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