Head-to-Head Model Comparison

Qwen-VL Plus vs Yi-Large

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

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Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen-VL PlusProfile

Yi-LargeProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen-VL Plus

AI Multimodal Asli

Qwen-VL Plus dari Alibaba adalah model AI yang dirancang untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, menghadirkan jendela konteks 131K, kecepatan 105 token/detik, indeks kecerdasan 71/100, serta tarif $0

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

Model Generasi Klasik

Yi-Large dari 01.AI adalah model AI yang dirancang untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, menghadirkan jendela konteks 33K, kecepatan 75 token/detik, indeks kecerdasan 79/100, serta tarif $2.5/$2.5 per 1

Intelligence Index79 / 100

Input Token:

$2.50 / 1M

Output Token:

$2.50 / 1M

Context Window:

32.8K tokens

SWE-bench Verified:

N/A

Perbedaan Utama Sekilas

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 →

Feature	Qwen-VL Plus	Yi-Large
Intelligence Index Composite reasoning & knowledge score (0-100)	71	79
Provider	Alibaba	01.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 text	32.8K tokens~49 A4 pages of text
Max Output Tokens Per single request	8K	4K
Throughput Speed Tokens generated per second	105 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
GPQA Diamond Graduate-level reasoning	N/A	52%
Cached Input Price Prompt caching discount per 1M tokens	$0.02 / 1M	$0.25 / 1M

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

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

Qwen-VL Plus0.48s

Yi-Large0.51s

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

Qwen-VL Plus5.24s

Yi-Large7.18s

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)

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

Jendela konteks 131K dengan kapasitas output maksimum hingga 8K token (MMLU-Pro 70.5% · Arena Elo 1240)
Kecepatan generasi tinggi 105 token/detik dengan latensi token pertama (TTFT) hanya 480 ms
Skema harga API kompetitif (tarif $0.21/$0.63 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

Yi-Large · Strengths & Key Advantages

Jendela konteks 33K dengan kapasitas output maksimum hingga 4K token (GPQA Diamond 52% · MMLU-Pro 76.5%)
Kecepatan generasi tinggi 75 token/detik dengan latensi token pertama (TTFT) hanya 510 ms
Skema harga API kompetitif (tarif $2.5/$2.5 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
Untuk trafik produksi skala besar, disarankan mengaktifkan fitur Prompt Caching dan Batch API guna menghemat biaya

Token Use & Task Economics

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

Metric	Qwen-VL Plus	Yi-Large
Cost per Task Estimated USD to finish one task	$0.05	$0.15
Output Tokens / Task Tokens generated per task	14K	14K
Reasoning Tokens / Task Thinking tokens burned per task	2K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Qwen-VL Plus	Yi-Large
Official API Model ID (SDK)	qwen-vl-plus-instruct	yi-large
API Protocol	Alibaba REST API (OpenAI-Compatible)	01.AI REST API (OpenAI-Compatible)
Release Date	2024-01	2024-05
Knowledge Cutoff	December 2023	March 2024
Architecture	Efficient Multimodal Vision-Language Transformer	Dense Bilingual Foundation Transformer
Parameters	Confidential	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 ($0.21/1M in) across full 131K window	Flat rate ($2.5/1M in) across full 33K window
Prompt Cache Policy & TTL	Cached input at $0.021/1M tokens	Cached input at $0.25/1M 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)	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	Alibaba Production Safety & Alignment Verified	01.AI 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	text
Output Modalities	text	text

Qwen-VL Plus vs Yi-Large: Jawaban Cepat (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.

Kesimpulan

Baik Qwen-VL Plus (Sangat cocok untuk pemahaman multimodal asli (teks & visual) serta analisis dokumen kompleks, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Yi-Large (Sangat cocok untuk asisten percakapan, peringkasan dokumen, dan beban kerja bisnis umum, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Yi-Large unggul dalam penalaran dan pemrograman, Qwen-VL Plus memberikan kecepatan generasi token lebih tinggi, dan Qwen-VL Plus lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Qwen-VL Plus atau Yi-Large?+

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

Berapa perbandingan harga API Qwen-VL Plus vs Yi-Large?+

Qwen-VL Plus mengenakan biaya $0.21 / $0.63 per 1M token input/output, sedangkan Yi-Large sebesar $2.50 / $2.50. Secara keseluruhan, Qwen-VL Plus lebih hemat biaya.

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

Qwen-VL Plus mendukung konteks 131.1K token dibandingkan 32.8K token pada Yi-Large, sementara Qwen-VL Plus 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)

Qwen-VL Plus vs Yi-Large

Ganti & Bandingkan Model Apa Saja

Qwen-VL Plus

Yi-Large

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Qwen-VL Plus · Strengths & Key Advantages

Considerations & Trade-offs

Yi-Large · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Qwen-VL Plus vs Yi-Large: Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

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