Head-to-Head Model Comparison

ERNIE 5.0 vs Qwen3.6 Max Preview

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.

ERNIE 5.0Profile

Qwen3.6 Max PreviewProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Baidu

ERNIE 5.0

Modello Ammiraglia di Frontiera

ERNIE 5.0 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 70 token/s, indice di intelligenza di 90/100 e

Intelligence Index90 / 100

Input Token:

$1.50 / 1M

Output Token:

$6.00 / 1M

Context Window:

128K tokens

SWE-bench Verified:

60%

Alibaba

Qwen3.6 Max Preview

Modello Ammiraglia di Frontiera

Qwen3.6 Max Preview di Alibaba 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 262K, velocità di 75 token/s, indice di intelligenza

Intelligence Index90 / 100

Input Token:

$1.50 / 1M

Output Token:

$6.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

70%

Differenze Chiave a Colpo d’Occhio

Both models cost the same under this workload — choose on capability, not price.
Qwen3.6 Max Preview has a larger context window (262K vs 128K tokens).
Qwen3.6 Max Preview is faster at 75 tok/s vs 70 tok/s.
Qwen3.6 Max Preview leads on SWE-bench coding (70.0% vs 60.0%).

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

Feature	ERNIE 5.0	Qwen3.6 Max Preview
Intelligence Index Composite reasoning & knowledge score (0-100)	90	90
Provider	Baidu	Alibaba
Input Price Cost per million input tokens	$1.50 / 1M	$1.50 / 1M
Output Price Cost per million output tokens	$6.00 / 1M	$6.00 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$1.01 / 1M	$1.01 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	16K	16K
Throughput Speed Tokens generated per second	70 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	60%	70%
GPQA Diamond Graduate-level reasoning	74.5%	76%
Cached Input Price Prompt caching discount per 1M tokens	$0.15 / 1M	$0.15 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Qwen3.6 Max Preview

+10.0% SWE-bench lead

Cost

Tied

Identical monthly runtime cost

Speed

Qwen3.6 Max Preview

+7% faster generation

Context

Qwen3.6 Max Preview

262.1K tokens window

Punteggi Benchmark Verificati

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

ERNIE 5.0Qwen3.6 Max Preview

SWE-bench Verified (Autonomous Coding)

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

60%vs70%

GPQA Diamond (Doctorate-Level Science & Math)

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

74.5%vs76%

MMLU-Pro (Multi-task Language Understanding)

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

86%vs87.5%

LMSYS Chatbot Arena Elo

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

1430ptsvs1445pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

70 tok/s vs75 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 5.00.58s

Qwen3.6 Max Preview0.54s

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

ERNIE 5.07.72s

Qwen3.6 Max Preview7.21s

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)

ERNIE 5.0 Monthly API Bill

$7.88 / month

$1.5/1M in · $6/1M out

Qwen3.6 Max Preview Monthly API Bill

$7.88 / month

$1.5/1M in · $6/1M out

These models cost the same under this workload — no savings either way.Break-even

ERNIE 5.0 · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 16K token (SWE-bench Verified 60% · GPQA Diamond 74.5%)
Throughput elevato di 70 token/secondo con latenza al primo token (TTFT) di soli 580 ms
Economia API competitiva ($1.5/$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

Qwen3.6 Max Preview · Strengths & Key Advantages

Finestra di contesto da 262K con capacità massima di output fino a 16K token (SWE-bench Verified 70% · GPQA Diamond 76%)
Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 540 ms
Economia API competitiva ($1.5/$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.

Metric	ERNIE 5.0	Qwen3.6 Max Preview
Cost per Task Estimated USD to finish one task	$0.32	$0.32
Output Tokens / Task Tokens generated per task	25K	28K
Reasoning Tokens / Task Thinking tokens burned per task	9K	11K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	ERNIE 5.0	Qwen3.6 Max Preview
Official API Model ID (SDK)	ernie-5-0	qwen3-6-max-preview-instruct
API Protocol	Baidu REST API (OpenAI-Compatible)	Alibaba REST API (OpenAI-Compatible)
Release Date	2026-05	2026-04
Knowledge Cutoff	February 2026	March 2026
Architecture	Colossus-Scale Omnimodal MoE Transformer	High-Scale Frontier Agentic Transformer
Parameters	800B total (45B active MoE)	Confidential
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 ($1.5/1M in) across full 128K window	Flat rate ($1.5/1M in) across full 262K window
Prompt Cache Policy & TTL	Cached input at $0.15/1M tokens	Cached input at $0.15/1M tokens
Computer Use / GUI Agent	Supported (Screen coordinate grounding, browser & desktop GUI action loops)	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) · Video (~258–300 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, video	text
Output Modalities	text	text

ERNIE 5.0 vs Qwen3.6 Max Preview: Risposte Rapide (FAQ)

Which model is faster?

Qwen3.6 Max Preview is faster, generating 75 tokens per second compared with 70 tokens per second.

Which model has lower latency?

Qwen3.6 Max Preview has lower latency, with a time to first token of 0.54s compared with 0.58s.

Which model has a larger context window?

Qwen3.6 Max Preview has a larger context window, supporting 262.1K tokens compared with 128K tokens.

Verdetto

Sia ERNIE 5.0 (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen3.6 Max Preview (Ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: ERNIE 5.0 guida nei benchmark di ragionamento e programmazione, Qwen3.6 Max Preview garantisce una generazione più rapida e ERNIE 5.0 offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, ERNIE 5.0 o Qwen3.6 Max Preview?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale ERNIE 5.0. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra ERNIE 5.0 e Qwen3.6 Max Preview?+

ERNIE 5.0 costa $1.50 / $6.00 per milione di token di input/output, mentre Qwen3.6 Max Preview costa $1.50 / $6.00. Nel costo combinato, ERNIE 5.0 risulta più economico.

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

ERNIE 5.0 supporta 128K token di contesto contro 262.1K token di Qwen3.6 Max Preview, mentre Qwen3.6 Max Preview 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)

ERNIE 5.0 vs Qwen3.6 Max Preview

Cambia e Confronta Qualsiasi Modello

ERNIE 5.0

Qwen3.6 Max Preview

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

ERNIE 5.0 · Strengths & Key Advantages

Considerations & Trade-offs

Qwen3.6 Max Preview · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

ERNIE 5.0 vs Qwen3.6 Max Preview: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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