Qwen-VL Max vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Qwen-VL Max by Alibaba against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.
Выбирайте и сравнивайте любые модели
Select any AI models from our verified benchmark database to generate live side-by-side matrices.
Live comparison: no in-depth editorial review has been published for this pair yet.
Qwen-VL Max
Модель глубокого рассужденияQwen-VL Max от Alibaba — передовая модель искусственного интеллекта с контекстным окном 131K токенов и стоимостью API $0.7/1M входящих и $2.8/1M исходящих токенов для программирования, аналитики и автоматизации.
$0.70 / 1M
$2.80 / 1M
131.1K tokens
N/A
Claude Opus 5.5
Модель глубокого рассужденияClaude Opus 5.5 от Anthropic — передовая модель искусственного интеллекта с контекстным окном 1M токенов и стоимостью API $4.0/1M входящих и $20.0/1M исходящих токенов для программирования, аналитики и автоматизации.
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
Ключевые отличия кратко
- Qwen-VL Max is 6.7x cheaper for API usage (input + output tokens combined).
- Claude Opus 5.5 has a larger context window (1M vs 131K tokens).
- Claude Opus 5.5 is faster at 78 tok/s vs 75 tok/s.
| Feature | Qwen-VL Max | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 76 | 94 |
Provider | Alibaba | Anthropic |
Input Price Cost per million input tokens | $0.70 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $2.80 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.47 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 131.1K tokens~197 A4 pages of text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 8K | 128K |
Throughput Speed Tokens generated per second | 75 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 84.6% |
GPQA Diamond Graduate-level reasoning | 46.5% | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $0.07 / 1M | $0.40 / 1M |
Кто лидирует в каждой категории?
At-a-glance decision frameworkEvaluations ongoing
Результаты проверенных бенчмарков
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.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Задержка и скорость ответа
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Интерактивный калькулятор стоимости токенов
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Qwen-VL Max · Strengths & Key Advantages
- Современная архитектура Multimodal Vision-Language Transformer от Alibaba с поддержкой до 131K токенов контекста
- Оптимальная стоимость использования ($0.7/1M вход, $2.8/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
Claude Opus 5.5 · Strengths & Key Advantages
- Современная архитектура Extended Autonomous Hybrid Reasoning Transformer от Anthropic с поддержкой до 1M токенов контекста
- Оптимальная стоимость использования ($4.0/1M вход, $20.0/1M выход) и высокая скорость генерации
- Высокие результаты в задачах написания кода, логического мышления и многоязычной обработки
Considerations & Trade-offs
- При работе с максимальным контекстом требуется контроль расхода токенов
- Для узкоспециализированных задач рекомендуется точная настройка системных промптов
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Qwen-VL Max | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.15 | $3.85 |
Output Tokens / Task Tokens generated per task | 16K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 5K | 42K |
Технические характеристики
Architecture, release timeline, capabilities, and modalities.
| Feature | Qwen-VL Max | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | qwen-vl-max-instruct | claude-opus-5-5-20260901 |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2024-04 | 2026-09 |
| Knowledge Cutoff | December 2023 | June 2026 |
| Architecture | Multimodal Vision-Language Transformer | Extended Autonomous Hybrid Reasoning 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) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.7/1M 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 $0.07/1M tokens | $0.4/1M 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 Max vs Claude Opus 5.5: Быстрые ответы (FAQ)
Which is more intelligent, Qwen-VL Max or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 76 on the composite Intelligence Index.
Which model is faster?
Claude Opus 5.5 is faster, generating 78 tokens per second compared with 75 tokens per second.
Which model is cheaper to run?
Qwen-VL Max is cheaper at $0.47 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Qwen-VL Max has lower latency, with a time to first token of 0.65s compared with 1.40s.
Which model has a larger context window?
Claude Opus 5.5 has a larger context window, supporting 1M tokens compared with 131.1K tokens.
Вердикт
Choose Qwen-VL Max for корпоративной автоматизации, разработки по, ии-агентов и продуктовых решений на базе alibaba, or choose Claude Opus 5.5 for корпоративной автоматизации, разработки по, ии-агентов и продуктовых решений на базе anthropic.
Часто задаваемые вопросы (FAQ)
Which is cheaper: Qwen-VL Max or Claude Opus 5.5?+
Qwen-VL Max costs $0.7/1M input and $2.8/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.
Which model has a larger context window: Qwen-VL Max or Claude Opus 5.5?+
Qwen-VL Max supports 131K tokens whereas Claude Opus 5.5 supports 1M tokens.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
Related reading
- Aion-3.0 vs Aion-Mini: Benchmarks, Pricing & Speed ComparisonСравнение
- Aion-3.0 vs Gemini 3.6 Flash: Benchmarks, Pricing & Speed ComparisonСравнение
- Aion-Mini vs Laguna XS 2.1: Benchmarks, Pricing & Speed ComparisonСравнение
- Aya Expanse 32B vs Llama 3.2 90B Vision: Benchmarks, Pricing & Speed ComparisonСравнение
- Aya Expanse 8B vs Command R+: Benchmarks, Pricing & Speed ComparisonСравнение
- Aya Expanse 8B vs Qwen 2.5 7B Instruct: Benchmarks, Pricing & Speed ComparisonСравнение
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.
Официальные источники: Alibaba & Anthropic Official Documentation