Head-to-Head Model Comparison

Qwen3 Coder Plus vs Claude Opus 5.5

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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AlibabaAnthropicflagshipflagship

Compare Qwen3 Coder Plus by Alibaba against Claude Opus 5.5 by Anthropic across real-world coding, reasoning, token economics, and latency.

Comparação Direta (VS)

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Popular Matchups:
Alibaba

Qwen3 Coder Plus

Modelo de Raciocínio Profundo

O Qwen3 Coder Plus da Alibaba é um modelo de inteligência artificial com janela de contexto de 1.0M tokens e preço de API de $0.8/1M na entrada e $3.2/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index85 / 100
Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

54%

Anthropic

Claude Opus 5.5

Modelo de Raciocínio Profundo

O Claude Opus 5.5 da Anthropic é um modelo de inteligência artificial com janela de contexto de 1M tokens e preço de API de $4.0/1M na entrada e $20.0/1M na saída, projetado para programação, raciocínio e automação empresarial.

Intelligence Index94 / 100
Input Token:

$4.00 / 1M

Output Token:

$20.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

84.6%

Principais Diferenças em Resumo

  • Qwen3 Coder Plus is 5.9x cheaper for API usage (input + output tokens combined).
  • Qwen3 Coder Plus has a larger context window (1M vs 1M tokens).
  • Qwen3 Coder Plus is faster at 80 tok/s vs 78 tok/s.
  • Claude Opus 5.5 leads on SWE-bench coding (84.6% vs 54.0%).
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3 Coder PlusClaude Opus 5.5
Intelligence Index
Composite reasoning & knowledge score (0-100)
8594
Provider
AlibabaAnthropic
Input Price
Cost per million input tokens
$0.80 / 1M$4.00 / 1M
Output Price
Cost per million output tokens
$3.20 / 1M$20.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.54 / 1M$3.08 / 1M
Context Window
Maximum input + output tokens
1.05M tokens~1,573 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
16K128K
Throughput Speed
Tokens generated per second
80 tok/s78 tok/s
SWE-bench Verified
Real-world software engineering
54%84.6%
GPQA Diamond
Graduate-level reasoning
66.5%82.3%
Cached Input Price
Prompt caching discount per 1M tokens
$0.08 / 1M$0.40 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding
Claude Opus 5.5
+30.6% SWE-bench lead
Cost
Qwen3 Coder Plus
5.9x cheaper monthly runtime
Speed
Qwen3 Coder Plus
+3% faster generation
Context
Qwen3 Coder Plus
1.05M tokens window

Pontuações de Benchmarks Verificadas

Official evaluation metrics verified by independent third-party research labs.

Qwen3 Coder PlusClaude Opus 5.5
SWE-bench Verified (Autonomous Coding)

Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.

54%vs84.6%
GPQA Diamond (Doctorate-Level Science & Math)

Challenging questions created by domain experts to test complex PhD-level reasoning.

66.5%vs82.3%
MMLU-Pro (Multi-task Language Understanding)

Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.

81%vs91.5%
LMSYS Chatbot Arena Elo

Crowdsourced human preference evaluation based on blind, head-to-head model battles.

1340ptsvs1507pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs19.8%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs66.4%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs58.7%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

71%vs83.1%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs95.4%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs92.6%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

80 tok/s vs78 tok/s

Latência e Tempo de Resposta

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
Qwen3 Coder Plus0.51s
Claude Opus 5.51.40s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3 Coder Plus6.76s
Claude Opus 5.57.81s

Simulador Interativo de Custo de Tokens

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% cached
0% (Cold)50%90% (Warm)
Qwen3 Coder Plus Monthly API Bill
$4.20 / month
$0.8/1M in · $3.2/1M out
Claude Opus 5.5 Monthly API Bill
$24.60 / month
$4/1M in · $20/1M out
Qwen3 Coder Plus saves approximately $20.40 / month (83%) under this workload.5.9x Savings

Qwen3 Coder Plus · Strengths & Key Advantages

  • Arquitetura Hosted Enterprise Code-Specialized Transformer avançada da Alibaba com contexto de 1.0M tokens
  • Excelente relação custo-benefício ($0.8/1M entrada, $3.2/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

Claude Opus 5.5 · Strengths & Key Advantages

  • Arquitetura Extended Autonomous Hybrid Reasoning Transformer avançada da Anthropic com contexto de 1M tokens
  • Excelente relação custo-benefício ($4.0/1M entrada, $20.0/1M saída) e baixa latência
  • Forte desempenho em benchmarks de código, análise lógica e tarefas multilíngues
Considerations & Trade-offs
  • Cargas de trabalho com contexto máximo exigem monitoramento de custos de tokens
  • Requer engenharia de prompt adequada para fluxos de trabalho altamente específicos

Token Use & Task Economics

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

MetricQwen3 Coder PlusClaude Opus 5.5
Cost per Task
Estimated USD to finish one task
$0.22$3.85
Output Tokens / Task
Tokens generated per task
22K68K
Reasoning Tokens / Task
Thinking tokens burned per task
7K42K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3 Coder PlusClaude Opus 5.5
Official API Model ID (SDK)qwen3-coder-plus-instructclaude-opus-5-5-20260901
API ProtocolAlibaba REST API (OpenAI-Compatible)Anthropic Messages API + AWS Bedrock + Vertex AI
Release Date2025-072026-09
Knowledge CutoffMay 2025June 2026
ArchitectureHosted Enterprise Code-Specialized TransformerExtended Autonomous Hybrid Reasoning Transformer
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM4,000 – 10,000 RPM (Tier 4 + Priority Tier) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.8/1M in) across full 1049K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.08/1M tokens$0.4/1M cached read (90% off); 5-min default & 1-hour extended TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
MCP & Parallel Tool CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsNative Web Search Citations + Code Execution Tool + MCP Connectors
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationCustom Model Tuning via Amazon Bedrock & Prompt Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile)
Quantization & Min GPU VRAMCloud-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 ClassificationAlibaba Production Safety & Alignment VerifiedAnthropic 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 TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision
Output Modalitiestexttext

Qwen3 Coder Plus vs Claude Opus 5.5: Respostas Rápidas (FAQ)

Which is more intelligent, Qwen3 Coder Plus or Claude Opus 5.5?

Claude Opus 5.5 is more intelligent. It scores 94 compared with 85 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Plus is faster, generating 80 tokens per second compared with 78 tokens per second.

Which model is cheaper to run?

Qwen3 Coder Plus is cheaper at $0.54 per 1M tokens blended, compared with $3.08 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3 Coder Plus has lower latency, with a time to first token of 0.51s compared with 1.40s.

Which model has a larger context window?

Qwen3 Coder Plus has a larger context window, supporting 1.05M tokens compared with 1M tokens.

Veredito

Choose Qwen3 Coder Plus for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com alibaba, or choose Claude Opus 5.5 for automação corporativa, engenharia de software, agentes autônomos e pipelines de produção com anthropic.

Perguntas Frequentes (FAQ)

Which is cheaper: Qwen3 Coder Plus or Claude Opus 5.5?+

Qwen3 Coder Plus costs $0.8/1M input and $3.2/1M output tokens, while Claude Opus 5.5 costs $4/1M input and $20/1M output tokens.

Which model has a larger context window: Qwen3 Coder Plus or Claude Opus 5.5?+

Qwen3 Coder Plus supports 1.0M tokens whereas Claude Opus 5.5 supports 1M tokens.

AI Terminology & Guide
Explore Glossary →

Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.

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.

Fontes oficiais: Alibaba & Anthropic Official Documentation