Head-to-Head Model Comparison

Qwen3 Coder Flash vs Qwen3-Coder 480B-A35B Instruct

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado pela equipe de pesquisa do GetInfoUsÚltima revisão: October 2026Política editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Qwen3 Coder Flash vs Qwen3-Coder 480B-A35B Instruct: Benchmarks, Pricing & Speed Comparison

Qwen3 Coder Flash da Alibaba e Qwen3-Coder 480B-A35B Instruct da Alibaba são dois modelos de IA de destaque. O Qwen3 Coder Flash oferece uma janela de contexto de 1M tokens a $0.10/$0.40 por milhão de tokens, enquanto o Qwen3-Coder 480B-A35B Instruct oferece 262.1K tokens de contexto a $0.00/$0.00 por milhão de tokens. Veja abaixo a comparação completa de benchmarks, latência e custos.

Comparação Direta (VS)

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Popular Matchups:
Alibaba

Qwen3 Coder Flash

Inferência Ultrarrápida

O Qwen3 Coder Flash da Alibaba é um modelo de IA projetado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, oferecendo janela de contexto de 1M, velocidade de 130 tokens/s, índice de inteligência de 77/100 e

Intelligence Index77 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Alibaba

Qwen3-Coder 480B-A35B Instruct

Modelo Base de Pesos Abertos

O Qwen3-Coder 480B-A35B Instruct da Alibaba é um modelo de IA projetado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, oferecendo janela de contexto de 262K, velocidade de 52 tokens/s, índice de inteligênc

Intelligence Index86 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

56.5%

Principais Diferenças em Resumo

  • Qwen3-Coder 480B-A35B Instruct is 1.0x cheaper for API usage (input + output tokens combined).
  • Qwen3 Coder Flash has a larger context window (1M vs 262K tokens).
  • Qwen3 Coder Flash is faster at 130 tok/s vs 52 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
FeatureQwen3 Coder FlashQwen3-Coder 480B-A35B Instruct
Intelligence Index
Composite reasoning & knowledge score (0-100)
7786
Provider
AlibabaAlibaba
Input Price
Cost per million input tokens
$0.10 / 1M$0.00 / 1M
Output Price
Cost per million output tokens
$0.40 / 1M$0.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.07 / 1M$0.00 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text262.1K tokens~393 A4 pages of text
Max Output Tokens
Per single request
8K16K
Throughput Speed
Tokens generated per second
130 tok/s52 tok/s
SWE-bench Verified
Real-world software engineering
N/A56.5%
GPQA Diamond
Graduate-level reasoning
N/A70%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.00 / 1M

Quem vence em cada categoria?

At-a-glance decision framework
Coding

Evaluations ongoing

Cost
Qwen3-Coder 480B-A35B Instruct
1.0x cheaper monthly runtime
Speed
Qwen3 Coder Flash
+150% faster generation
Context
Qwen3 Coder Flash
1M tokens window

Pontuações de Benchmarks Verificadas

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

Qwen3 Coder FlashQwen3-Coder 480B-A35B Instruct
SWE-bench Verified (Autonomous Coding)

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

N/Avs56.5%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs70%
MMLU-Pro (Multi-task Language Understanding)

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

74.5%vs83%
LMSYS Chatbot Arena Elo

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

1265ptsvs1355pts
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

61.5%vs73%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs52 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 Flash0.33s
Qwen3-Coder 480B-A35B Instruct0.76s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3 Coder Flash4.18s
Qwen3-Coder 480B-A35B Instruct10.38s

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 Flash Monthly API Bill
$0.53 / month
$0.1/1M in · $0.4/1M out
Qwen3-Coder 480B-A35B Instruct Monthly API Bill
$0.00 / month
$0/1M in · $0/1M out
Qwen3-Coder 480B-A35B Instruct saves approximately $0.53 / month (100%) under this workload.1.0x Savings

Qwen3 Coder Flash · Strengths & Key Advantages

  • Janela de contexto de 1M com limite máximo de saída de 8K tokens (MMLU-Pro 74.5% · Arena Elo 1265)
  • Taxa de transferência rápida de 130 tokens/segundo com latência inicial (TTFT) de 330 ms
  • Economia de API competitiva ($0.1/$0.4 por 1M de tokens) com suporte a cache de prompts e saídas JSON estruturadas
Considerations & Trade-offs
  • Modelo proprietário em nuvem; não permite download dos pesos para execução local offline
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Qwen3-Coder 480B-A35B Instruct · Strengths & Key Advantages

  • Janela de contexto de 262K com limite máximo de saída de 16K tokens (SWE-bench Verified 56.5% · GPQA Diamond 70%)
  • Taxa de transferência rápida de 52 tokens/segundo com latência inicial (TTFT) de 760 ms
  • Pesos abertos (480B total (35B MoE)) para auto-hospedagem local ou em nuvem privada via vLLM, SGLang ou Ollama
Considerations & Trade-offs
  • Requer servidores GPU com memória VRAM adequada para execução local em precisão total
  • Em derivações científicas extremas, modelos pesados dedicados exclusivamente ao raciocínio oferecem maior profundidade

Token Use & Task Economics

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

MetricQwen3 Coder FlashQwen3-Coder 480B-A35B Instruct
Cost per Task
Estimated USD to finish one task
$0.03$0.00
Output Tokens / Task
Tokens generated per task
15K25K
Reasoning Tokens / Task
Thinking tokens burned per task
0K9K

Especificações Técnicas

Architecture, release timeline, capabilities, and modalities.

FeatureQwen3 Coder FlashQwen3-Coder 480B-A35B Instruct
Official API Model ID (SDK)qwen3-coder-flash-instructqwen3-coder-480b-a35b-instruct
API ProtocolAlibaba REST API (OpenAI-Compatible)OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date2025-072025-04
Knowledge CutoffMay 2025March 2025
ArchitectureOptimized Lightweight Hosted Code TransformerCode-Specialized Sparse Mixture-of-Experts Transformer
ParametersConfidential480B total (35B active MoE)
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPMUnlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)Flat rate ($0.1/1M in) across full 1000K windowFree across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTLCached input at $0.01/1M tokensAutomatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)
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 toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationFull Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 298 GB VRAM (4-bit Quantized) · 1032 GB VRAM (Native BF16)
Safety & Frontier ClassificationAlibaba Production Safety & Alignment VerifiedOpen-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalitiestexttext
Output Modalitiestexttext

Qwen3 Coder Flash vs Qwen3-Coder 480B-A35B Instruct: Respostas Rápidas (FAQ)

Which is more intelligent, Qwen3 Coder Flash or Qwen3-Coder 480B-A35B Instruct?

Qwen3-Coder 480B-A35B Instruct is more intelligent. It scores 86 compared with 77 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Flash is faster, generating 130 tokens per second compared with 52 tokens per second.

Which model is cheaper to run?

Qwen3-Coder 480B-A35B Instruct is cheaper at $0.00 per 1M tokens blended, compared with $0.07 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Qwen3 Coder Flash has lower latency, with a time to first token of 0.33s compared with 0.76s.

Which model has a larger context window?

Qwen3 Coder Flash has a larger context window, supporting 1M tokens compared with 262.1K tokens.

Veredito

Tanto Qwen3 Coder Flash (Indicado para respostas em tempo real com latência ultrabaixa e roteamento de alto volume, arquiteturas RAG corporativas e integração escalável via API.) quanto Qwen3-Coder 480B-A35B Instruct (Indicado para auto-hospedagem em infraestrutura própria, fine-tuning e soberania de dados, arquiteturas RAG corporativas e integração escalável via API.) entregam excelente desempenho: Qwen3-Coder 480B-A35B Instruct lidera em inteligência geral e programação, Qwen3 Coder Flash oferece geração mais rápida e Qwen3-Coder 480B-A35B Instruct apresenta o melhor custo-benefício em produção.

Perguntas Frequentes (FAQ)

Qual é melhor para programação e raciocínio, Qwen3 Coder Flash ou Qwen3-Coder 480B-A35B Instruct?+

Nas avaliações de inteligência e código, Qwen3-Coder 480B-A35B Instruct leva vantagem. Confira os gráficos SWE-bench e GPQA acima para detalhes.

Qual modelo tem a API mais barata, Qwen3 Coder Flash ou Qwen3-Coder 480B-A35B Instruct?+

O Qwen3 Coder Flash custa $0.10 / $0.40 por 1M de tokens (entrada/saída) e o Qwen3-Coder 480B-A35B Instruct custa $0.00 / $0.00. No custo combinado, Qwen3-Coder 480B-A35B Instruct é mais econômico.

Qual modelo possui maior janela de contexto e velocidade?+

O Qwen3 Coder Flash suporta 1M tokens de contexto contra 262.1K tokens do Qwen3-Coder 480B-A35B Instruct, enquanto Qwen3 Coder Flash entrega maior velocidade de geração.

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: Documentação oficial de API da Alibaba e Alibaba e benchmarks independentes (2026).