Qwen Plus vs Claude Opus 5.5
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Qwen Plus by Alibaba against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.
Cambia e Confronta Qualsiasi Modello
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Live comparison: no in-depth editorial review has been published for this pair yet.
Qwen Plus
Modello di Generazione ClassicaQwen Plus di Alibaba è un modello di IA progettato per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, con finestra di contesto da 1M, velocità di 95 token/s, indice di intelligenza di 75/100 e tariffa
$0.40 / 1M
$1.20 / 1M
1M tokens
N/A
Claude Opus 5.5
Modello Ammiraglia di FrontieraClaude Opus 5.5 di Anthropic è un modello di IA progettato per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, con finestra di contesto da 1M, velocità di 78 token/s, indice di intelligenza di 9
$4.00 / 1M
$20.00 / 1M
1M tokens
84.6%
Differenze Chiave a Colpo d’Occhio
- Qwen Plus is 14.1x cheaper for API usage (input + output tokens combined).
- Qwen Plus is faster at 95 tok/s vs 78 tok/s.
| Feature | Qwen Plus | Claude Opus 5.5 |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 75 | 94 |
Provider | Alibaba | Anthropic |
Input Price Cost per million input tokens | $0.40 / 1M | $4.00 / 1M |
Output Price Cost per million output tokens | $1.20 / 1M | $20.00 / 1M |
Blended Price Weighted 7:2:1 cache:input:output per 1M | $0.23 / 1M | $3.08 / 1M |
Context Window Maximum input + output tokens | 1M tokens~1,500 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 | 95 tok/s | 78 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 84.6% |
GPQA Diamond Graduate-level reasoning | 42.5% | 82.3% |
Cached Input Price Prompt caching discount per 1M tokens | $0.04 / 1M | $0.40 / 1M |
Chi vince in ogni categoria?
At-a-glance decision frameworkEvaluations ongoing
Punteggi Benchmark Verificati
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.
Latenza e Tempo di Risposta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulatore Interattivo dei Costi Token
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
Qwen Plus · Strengths & Key Advantages
- Finestra di contesto da 1M con capacità massima di output fino a 8K token (GPQA Diamond 42.5% · MMLU-Pro 74.5%)
- Throughput elevato di 95 token/secondo con latenza al primo token (TTFT) di soli 420 ms
- Economia API competitiva ($0.4/$1.2 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
Claude Opus 5.5 · Strengths & Key Advantages
- Finestra di contesto da 1M con capacità massima di output fino a 128K token (SWE-bench Verified 84.6% · GPQA Diamond 82.3%)
- Throughput elevato di 78 token/secondo con latenza al primo token (TTFT) di soli 1400 ms
- Economia API competitiva ($4/$20 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.
| Metric | Qwen Plus | Claude Opus 5.5 |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.08 | $3.85 |
Output Tokens / Task Tokens generated per task | 15K | 68K |
Reasoning Tokens / Task Thinking tokens burned per task | 4K | 42K |
Specifiche Tecniche
Architecture, release timeline, capabilities, and modalities.
| Feature | Qwen Plus | Claude Opus 5.5 |
|---|---|---|
| Official API Model ID (SDK) | qwen-plus-instruct | claude-opus-5-5-20260901 |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Anthropic Messages API + AWS Bedrock + Vertex AI |
| Release Date | 2024-01 | 2026-09 |
| Knowledge Cutoff | September 2024 | June 2026 |
| Architecture | High-Throughput Dense Autoregressive Transformer | Extended Autonomous Hybrid Reasoning Transformer |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM | 4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM |
| Long-Context Tier (>128K/200K) | Flat rate ($0.4/1M in) across full 1000K window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.04/1M tokens | $0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | 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) | 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 | text, vision |
| Output Modalities | text | text |
Qwen Plus vs Claude Opus 5.5: Risposte Rapide (FAQ)
Which is more intelligent, Qwen Plus or Claude Opus 5.5?
Claude Opus 5.5 is more intelligent. It scores 94 compared with 75 on the composite Intelligence Index.
Which model is faster?
Qwen Plus is faster, generating 95 tokens per second compared with 78 tokens per second.
Which model is cheaper to run?
Qwen Plus is cheaper at $0.23 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).
Which model has lower latency?
Qwen Plus has lower latency, with a time to first token of 0.42s compared with 1.40s.
Verdetto
Choose Qwen Plus for ideale per gli assistenti conversazionali, la sintesi documentale e i flussi di lavoro aziendali, sistemi rag aziendali e integrazioni api scalabili., or choose Claude Opus 5.5 for ideale per il ragionamento aziendale di frontiera, la programmazione avanzata e i carichi di produzione, sistemi rag aziendali e integrazioni api scalabili..
Domande Frequenti (FAQ)
Which is cheaper: Qwen Plus or Claude Opus 5.5?+
Qwen Plus costs $0.4/1M input and $1.2/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.
Which model has a larger context window: Qwen Plus or Claude Opus 5.5?+
Qwen Plus supports 1M 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.
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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.
Fonti ufficiali: Alibaba & Anthropic Official Documentation