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.
切换并对比任意模型
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Qwen-VL Plus
旗舰 frontier 大模型Alibaba 推出的 Qwen-VL Plus 人工智能模型，具备 131K 上下文窗口，输入价格为 $0.21/百万 Token，输出价格为 $0.63/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$0.21 / 1M
$0.63 / 1M
131.1K tokens
N/A
Claude 3 Opus
旗舰 frontier 大模型Anthropic 推出的 Claude 3 Opus 人工智能模型，具备 200K 上下文窗口，输入价格为 $15/百万 Token，输出价格为 $75/百万 Token，专为高质量生产环境、推理与自动化工作流打造。
$15.00 / 1M
$75.00 / 1M
200K tokens
32.2%
核心差异一览
- 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 |
各项指标谁更胜一筹？
At-a-glance decision frameworkEvaluations ongoing
权威基准测试得分对比
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.
延迟与响应速度
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
实时 Token 成本模拟器
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Qwen-VL Plus · Strengths & Key Advantages
- 由 Alibaba 研发的高精度 Efficient Multimodal Vision-Language Transformer 架构，支持 131K 上下文窗口
- 极具竞争力的 API 定价（输入 $0.21/1M，输出 $0.63/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
Claude 3 Opus · Strengths & Key Advantages
- 由 Anthropic 研发的高精度 Frontier Dense Multimodal Transformer 架构，支持 200K 上下文窗口
- 极具竞争力的 API 定价（输入 $15/1M，输出 $75/1M），支持高速推理与工具调用
- 在代码生成、逻辑推理与多语言处理基准测试中表现出色
Considerations & Trade-offs
- 超长上下文请求需要规划 Token 成本与并发配额
- 针对特定垂直领域任务建议结合系统提示词与检索增强（RAG）以获得最佳效果
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 |
技术规格参数
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: 常见问题解答 (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.
综合结论
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.
常见问题 (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.
Related reading
- Claude 3.5 Sonnet vs Claude 3 Opus: Benchmarks, Pricing & Speed Comparison对比
- Claude 3 Opus vs GPT-4: Benchmarks, Pricing & Speed Comparison对比
- Gemini 1.5 Pro vs Claude 3 Opus: Benchmarks, Pricing & Speed Comparison对比
- Qwen-VL Plus vs Yi-Large: Benchmarks, Pricing & Speed Comparison对比
- Aion-3.0 vs Aion-Mini: Benchmarks, Pricing & Speed Comparison对比
- Aion-3.0 vs Gemini 3.6 Flash: Benchmarks, Pricing & Speed Comparison对比
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.
数据来源: GetInfoUs Independent AI Benchmarks & Official API Specs