Qwen-VL Plus vs Claude 3 Opus
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (12)
Qwen-VL Plus by Alibaba and Claude 3 Opus by Anthropic represent two of the frontier AI models analyzed in our comprehensive 2026 AI benchmark and LLM comparison. In this head-to-head evaluation, we examine API token pricing, context window specifications, inference speed (tokens per second), and empirical reasoning performance. From a pure economic perspective, Qwen-VL Plus holds a notable pricing advantage for token ingestion. On output generation, Qwen-VL Plus is more economical per million generated tokens. In data-heavy architectures requiring extensive repository or document analysis, Claude 3 Opus provides an expanded memory horizon with 200K tokens. In latency-sensitive production environments, Qwen-VL Plus leads in tokens-per-second throughput, making it ideal for real-time conversational agents and high-concurrency workflows. Below is the complete empirical head-to-head breakdown across cost, speed, context, and capability matrices.
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Qwen-VL Plus
플래그십 프론티어 모델Alibaba의 Qwen-VL Plus 모델은 131K 토큰 컨텍스트 윈도우와 입력 $0.21/1M 토큰, 출력 $0.63/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$0.21 / 1M
$0.63 / 1M
131.1K tokens
N/A
Claude 3 Opus
플래그십 프론티어 모델Anthropic의 Claude 3 Opus 모델은 200K 토큰 컨텍스트 윈도우와 입력 $15/1M 토큰, 출력 $75/1M 토큰의 합리적인 API 요금을 제공하며 코딩, 추론 및 엔터프라이즈 자동화에 최적화되어 있습니다.
$15.00 / 1M
$75.00 / 1M
200K tokens
32.2%
한눈에 보는 핵심 차이점
- Qwen-VL Plus is 101.0x cheaper for API usage (input + output tokens combined).
- Claude 3 Opus has a larger context window (200K vs 131K tokens).
- Qwen-VL Plus is faster at 105 tok/s vs 30 tok/s.
| Feature | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 71 | 44 |
Provider | Alibaba | Anthropic |
Input Price Cost per million input tokens | $0.21 / 1M | $15.00 / 1M |
Output Price Cost per million output tokens | $0.63 / 1M | $75.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.12 / 1M | $11.55 / 1M |
Context Window Maximum input + output tokens | 131.1K tokens~197 A4 pages of text | 200K tokens~300 A4 pages of text |
Max Output Tokens Per single request | 8K | 4K |
Throughput Speed Tokens generated per second | 105 tok/s | 30 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 32.2% |
GPQA Diamond Graduate-level reasoning | N/A | 50.4% |
Cached Input Price Prompt caching discount per 1M tokens | $0.02 / 1M | $1.50 / 1M |
부문별 우위 모델
At-a-glance decision frameworkEvaluations ongoing
검증된 벤치마크 점수 비교
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Tokens emitted per second during active generation streaming.
지연 시간(Latency) 및 응답 속도
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
실시간 API 토큰 비용 시뮬레이터
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Qwen-VL Plus · Strengths & Key Advantages
- Alibaba의 첨단 Efficient Multimodal Vision-Language Transformer 아키텍처와 최대 131K 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $0.21/1M, 출력 $0.63/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Claude 3 Opus · Strengths & Key Advantages
- Anthropic의 첨단 Frontier Dense Multimodal Transformer 아키텍처와 최대 200K 토큰 컨텍스트 지원
- 경쟁력 있는 API 가격(입력 $15/1M, 출력 $75/1M)과 빠른 응답 속도
- 코드 생성, 복잡한 논리 추론 및 다국어 벤치마크에서 검증된 성능 발휘
Considerations & Trade-offs
- 대규모 장문 컨텍스트 처리 시 토큰 비용 및 호출 한도 관리가 필요함
- 특수 도메인 작업에서는 정교한 프롬프트 엔지니어링과 RAG 연동이 권장됨
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.05 | $0.20 |
Output Tokens / Task Tokens generated per task | 14K | 24K |
Reasoning Tokens / Task Thinking tokens burned per task | 2K | 0K |
기술 사양 (Specifications)
Architecture, release timeline, capabilities, and modalities.
| Feature | Qwen-VL Plus | Claude 3 Opus |
|---|---|---|
| Official API Model ID (SDK) | qwen-vl-plus-instruct | claude-3-opus-20240301 |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2024-01 | 2024-03 |
| Knowledge Cutoff | December 2023 | August 2023 |
| Architecture | Efficient Multimodal Vision-Language Transformer | Frontier Dense Multimodal Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 800,000 – 2,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.21/1M in) across full 131K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.021/1M tokens | $1.5/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | Supported (Screen coordinate grounding, browser & desktop GUI action loops) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| 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 | Native Web Search Citations + Code Execution Tool + MCP Connectors |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | Custom Model Tuning via Amazon Bedrock & Prompt Distillation |
| Multimodal Token Billing | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) | Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) |
| 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 | Anthropic RSP ASL-2 / ASL-3 Constitutional Safety Evaluated |
| 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, vision |
| Output Modalities | text | text |
Qwen-VL Plus vs Claude 3 Opus: 핵심 요약 문답 (FAQ)
Which is more intelligent, Qwen-VL Plus or Claude 3 Opus?
Qwen-VL Plus is more intelligent. It scores 71 compared with 44 on the composite Intelligence Index.
Which model is faster?
Qwen-VL Plus is faster, generating 105 tokens per second compared with 30 tokens per second.
Which model is cheaper to run?
Qwen-VL Plus is cheaper at $0.12 per 1M tokens blended, compared with $11.55 (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 1.20s.
Which model has a larger context window?
Claude 3 Opus has a larger context window, supporting 200K tokens compared with 131.1K tokens.
종합 평가
Verdict & Model Selection Recommendation: Choose Qwen-VL Plus if your priority is E-commerce visual search, social image captioning, and everyday visual QA. Its performance in demanding tasks justifies its operational token cost. Choose Claude 3 Opus if your workflow prioritizes Executive strategy briefs, high-end creative writing, philosophical research, and nuanced legal evaluation. For large-scale batch processing or customer-facing conversational interfaces, its balance of speed and economics delivers superior ROI.
자주 묻는 질문 (FAQ)
How does Qwen-VL Plus compare to Claude 3 Opus in API token pricing and cost per token?+
Qwen-VL Plus costs $0.21 per 1M input tokens and $0.63 per 1M output tokens, whereas Claude 3 Opus costs $15.00 input and $75.00 output. Overall, Qwen-VL Plus is the more cost-effective model for high-volume API pipelines. Both models support prompt caching discounts of up to 90% for repeated prompt prefixes.
Which model has a larger context window: Qwen-VL Plus or Claude 3 Opus?+
Qwen-VL Plus supports a context window of 131K tokens (~98k words), while Claude 3 Opus supports 200K tokens (~150k words). Therefore, Claude 3 Opus can process more textual data and document context in a single prompt.
Which AI model is better for software engineering and coding: Qwen-VL Plus or Claude 3 Opus?+
Qwen-VL Plus scores at the frontier of coding benchmarks, while Claude 3 Opus scores 32.2%. For complex autonomous debugging and agentic engineering, Claude 3 Opus provides robust code generation and tool calling.
What is the difference in reasoning capability and extended thinking between Qwen-VL Plus and Claude 3 Opus?+
Qwen-VL Plus is optimized for low-latency direct generation. In contrast, Claude 3 Opus focuses on standard fast inference.
How does inference speed (tokens per second) compare between Qwen-VL Plus and Claude 3 Opus?+
Qwen-VL Plus generates approximately 105 tokens per second, while Claude 3 Opus delivers 30 tokens per second. In latency-sensitive production environments, Qwen-VL Plus provides faster time-to-first-token (TTFT) and higher streaming response velocity.
Can you implement a tiered LLM routing setup combining Qwen-VL Plus and Claude 3 Opus to optimize costs?+
Yes! High-efficiency architectures route high-frequency routine classification and conversational tasks to Qwen-VL Plus to save operational costs, and dynamically escalate complex architectural queries or reasoning tasks to Claude 3 Opus. This tiered routing pattern cuts overall API bills by up to 70%.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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.
공식 출처: GetInfoUs Independent AI Benchmarks & Official API Specs