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Head-to-Head Model Comparison

Qwen-VL Plus vs Yi-Large

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
Qwen-VL Plus vs Yi-Large: Benchmarks, Pricing & Speed Comparison

Qwen-VL Plus di Alibaba e Yi-Large di 01.AI sono due modelli di IA di riferimento. Qwen-VL Plus offre una finestra di contesto di 131.1K token a $0.21/$0.63 per milione di token, mentre Yi-Large mette a disposizione 32.8K token di contesto a $2.50/$2.50 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Alibaba

Qwen-VL Plus

IA Multimodale Nativa

Qwen-VL Plus di Alibaba è un modello di IA progettato per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, con finestra di contesto da 131K, velocità di 105 token/s, indice di intelligenza di 71/100 e

Intelligence Index71 / 100
Input Token:

$0.21 / 1M

Output Token:

$0.63 / 1M

Context Window:

131.1K tokens

SWE-bench Verified:

N/A

01.AI

Yi-Large

Modello di Generazione Classica

Yi-Large di 01.AI è un modello di IA progettato per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, con finestra di contesto da 33K, velocità di 75 token/s, indice di intelligenza di 79/100 e tariffa d

Intelligence Index79 / 100
Input Token:

$2.50 / 1M

Output Token:

$2.50 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

  • Qwen-VL Plus is 7.0x cheaper for API usage (input + output tokens combined).
  • Qwen-VL Plus has a larger context window (131K vs 33K tokens).
  • Qwen-VL Plus is faster at 105 tok/s vs 75 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen-VL PlusYi-Large
Intelligence Index
Composite reasoning & knowledge score (0-100)
7179
Provider
Alibaba01.AI
Input Price
Cost per million input tokens
$0.21 / 1M$2.50 / 1M
Output Price
Cost per million output tokens
$0.63 / 1M$2.50 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.12 / 1M$0.93 / 1M
Context Window
Maximum input + output tokens
131.1K tokens~197 A4 pages of text32.8K tokens~49 A4 pages of text
Max Output Tokens
Per single request
8K4K
Throughput Speed
Tokens generated per second
105 tok/s75 tok/s
SWE-bench Verified
Real-world software engineering
N/AN/A
GPQA Diamond
Graduate-level reasoning
N/A52%
Cached Input Price
Prompt caching discount per 1M tokens
$0.02 / 1M$0.25 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen-VL Plus
7.0x cheaper monthly runtime
Speed
Qwen-VL Plus
+40% faster generation
Context
Qwen-VL Plus
131.1K tokens window

Punteggi Benchmark Verificati

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

Qwen-VL PlusYi-Large
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs52%
MMLU-Pro (Multi-task Language Understanding)

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

70.5%vs76.5%
LMSYS Chatbot Arena Elo

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

1240ptsvs1290pts
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

105 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
Qwen-VL Plus0.48s
Yi-Large0.51s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen-VL Plus5.24s
Yi-Large7.18s

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)
Qwen-VL Plus Monthly API Bill
$0.91 / month
$0.21/1M in · $0.63/1M out
Yi-Large Monthly API Bill
$6.38 / month
$2.5/1M in · $2.5/1M out
Qwen-VL Plus saves approximately $5.46 / month (86%) under this workload.7.0x Savings

Qwen-VL Plus · Strengths & Key Advantages

  • Finestra di contesto da 131K con capacità massima di output fino a 8K token (MMLU-Pro 70.5% · Arena Elo 1240)
  • Throughput elevato di 105 token/secondo con latenza al primo token (TTFT) di soli 480 ms
  • Economia API competitiva ($0.21/$0.63 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

Yi-Large · Strengths & Key Advantages

  • Finestra di contesto da 33K con capacità massima di output fino a 4K token (GPQA Diamond 52% · MMLU-Pro 76.5%)
  • Throughput elevato di 75 token/secondo con latenza al primo token (TTFT) di soli 510 ms
  • Economia API competitiva ($2.5/$2.5 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
  • Per volumi di traffico elevati in produzione si consiglia di attivare il prompt caching e la Batch API

Token Use & Task Economics

Estimated cost and token consumption to complete one representative agentic task.

MetricQwen-VL PlusYi-Large
Cost per Task
Estimated USD to finish one task
$0.05$0.15
Output Tokens / Task
Tokens generated per task
14K14K
Reasoning Tokens / Task
Thinking tokens burned per task
2K0K

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

FeatureQwen-VL PlusYi-Large
Official API Model ID (SDK)qwen-vl-plus-instructyi-large
API ProtocolAlibaba REST API (OpenAI-Compatible)01.AI REST API (OpenAI-Compatible)
Release Date2024-012024-05
Knowledge CutoffDecember 2023March 2024
ArchitectureEfficient Multimodal Vision-Language TransformerDense Bilingual Foundation Transformer
ParametersConfidentialConfidential
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 ($0.21/1M in) across full 131K windowFlat rate ($2.5/1M in) across full 33K window
Prompt Cache Policy & TTLCached input at $0.021/1M tokensCached input at $0.25/1M tokens
Computer Use / GUI AgentSupported (Screen coordinate grounding, browser & desktop GUI action loops)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)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 ClassificationAlibaba Production Safety & Alignment Verified01.AI 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, visiontext
Output Modalitiestexttext

Qwen-VL Plus vs Yi-Large: Risposte Rapide (FAQ)

Which is more intelligent, Qwen-VL Plus or Yi-Large?

Yi-Large is more intelligent. It scores 79 compared with 71 on the composite Intelligence Index.

Which model is faster?

Qwen-VL Plus is faster, generating 105 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Qwen-VL Plus is cheaper at $0.12 per 1M tokens blended, compared with $0.93 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen-VL Plus has lower latency, with a time to first token of 0.48s compared with 0.51s.

Which model has a larger context window?

Qwen-VL Plus has a larger context window, supporting 131.1K tokens compared with 32.8K tokens.

Verdetto

Sia Qwen-VL Plus (Ideale per la comprensione multimodale nativa di testo e immagini e l’analisi visiva dei documenti, sistemi RAG aziendali e integrazioni API scalabili.) sia Yi-Large (Ideale per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Yi-Large guida nei benchmark di ragionamento e programmazione, Qwen-VL Plus garantisce una generazione più rapida e Qwen-VL Plus offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen-VL Plus o Yi-Large?+

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

Qual è la differenza di prezzo API tra Qwen-VL Plus e Yi-Large?+

Qwen-VL Plus costa $0.21 / $0.63 per milione di token di input/output, mentre Yi-Large costa $2.50 / $2.50. Nel costo combinato, Qwen-VL Plus risulta più economico.

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

Qwen-VL Plus supporta 131.1K token di contesto contro 32.8K token di Yi-Large, mentre Qwen-VL Plus 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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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 Alibaba e 01.AI, schede di sistema e benchmark indipendenti (2026).