Head-to-Head Model Comparison

ERNIE 4.5 vs QwQ Plus

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
ERNIE 4.5 vs QwQ Plus: Benchmarks, Pricing & Speed Comparison

ERNIE 4.5 di Baidu e QwQ Plus di Alibaba sono due modelli di IA di riferimento. ERNIE 4.5 offre una finestra di contesto di 128K token a $0.60/$2.40 per milione di token, mentre QwQ Plus mette a disposizione 131.1K token di contesto a $0.40/$1.60 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Popular Matchups:
Baidu

ERNIE 4.5

Modello Ammiraglia di Frontiera

ERNIE 4.5 di Baidu è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 128K, velocità di 75 token/s, indice di intelligenza di 81/100 e

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

Motore di Ragionamento Profondo

QwQ Plus di Alibaba è un modello di IA progettato per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, con finestra di contesto da 131K, velocità di 70 token/s, indice di intelligenza di 84/100 e tariffa di $

Intelligence Index84 / 100
Input Token:

$0.40 / 1M

Output Token:

$1.60 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

45%

Differenze Chiave a Colpo d’Occhio

  • 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 →
FeatureERNIE 4.5QwQ Plus
Intelligence Index
Composite reasoning & knowledge score (0-100)
8184
Provider
BaiduAlibaba
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 text131.1K tokens~197 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
75 tok/s70 tok/s
SWE-bench Verified
Real-world software engineering
N/A45%
GPQA Diamond
Graduate-level reasoning
60%65.2%
Cached Input Price
Prompt caching discount per 1M tokens
$0.06 / 1M$0.04 / 1M

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

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 4.50.51s
QwQ Plus0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
ERNIE 4.57.18s
QwQ Plus7.99s

Simulatore Interattivo dei Costi Token

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • Finestra di contesto da 128K con capacità massima di output fino a 8K token (GPQA Diamond 60% · MMLU-Pro 78.5%)
  • Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 510 ms
  • Economia API competitiva ($0.6/$2.4 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

QwQ Plus · Strengths & Key Advantages

  • Finestra di contesto da 131K con capacità massima di output fino a 16K token (SWE-bench Verified 45% · GPQA Diamond 65.2%)
  • Throughput elevato di 70 token/secondo con latenza al primo token (TTFT) di soli 850 ms
  • Economia API competitiva ($0.4/$1.6 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati
Considerations & Trade-offs
  • Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
  • 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.

MetricERNIE 4.5QwQ Plus
Cost per Task
Estimated USD to finish one task
$0.16$0.12
Output Tokens / Task
Tokens generated per task
18K24K
Reasoning Tokens / Task
Thinking tokens burned per task
4K14K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureERNIE 4.5QwQ Plus
Official API Model ID (SDK)ernie-4-5qwq-plus-instruct
API ProtocolBaidu REST API (OpenAI-Compatible)Alibaba REST API (OpenAI-Compatible)
Release Date2025-032025-03
Knowledge CutoffDecember 2024January 2025
ArchitectureMultimodal Foundation Knowledge TransformerDeep Reasoning Chain-of-Thought Transformer
ParametersConfidential32B (Distilled Reasoning Engine)
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 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 windowFlat rate ($0.4/1M in) across full 131K window
Prompt Cache Policy & TTLCached input at $0.06/1M tokensCached input at $0.04/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationBaidu Production Safety & Alignment VerifiedAlibaba Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestext, vision, audiotext
Output Modalitiestexttext

ERNIE 4.5 vs QwQ Plus: Risposte Rapide (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.

Verdetto

Sia ERNIE 4.5 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia QwQ Plus (Ideale per il ragionamento logico profondo, la matematica avanzata e l’analisi scientifica, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: QwQ Plus guida nei benchmark di ragionamento e programmazione, ERNIE 4.5 garantisce una generazione più rapida e QwQ Plus offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, ERNIE 4.5 o QwQ Plus?+

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

Qual è la differenza di prezzo API tra ERNIE 4.5 e QwQ Plus?+

ERNIE 4.5 costa $0.60 / $2.40 per milione di token di input/output, mentre QwQ Plus costa $0.40 / $1.60. Nel costo combinato, QwQ Plus risulta più economico.

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

ERNIE 4.5 supporta 128K token di contesto contro 131.1K token di QwQ Plus, mentre ERNIE 4.5 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.

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Fonti ufficiali: Documentazione API ufficiale di Baidu e Alibaba, schede di sistema e benchmark indipendenti (2026).