Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Revisado por el equipo de investigación de GetInfoUsÚltima revisión: October 2026Política editorial

Cambia y Compara Cualquier Modelo

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen3 Coder FlashProfile

Qwen3-Coder 480B-A35B InstructProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Coder Flash

Inferencia Ultrarrápida

Qwen3 Coder Flash de Alibaba es un modelo de IA diseñado para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, con ventana de contexto de 1M, velocidad de 130 tokens/s, índice de inteligencia de 77/100 y tarifa de $

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 Abiertos

Qwen3-Coder 480B-A35B Instruct de Alibaba es un modelo de IA diseñado para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, con ventana de contexto de 262K, velocidad de 52 tokens/s, índice de inteligen

Intelligence Index86 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

56.5%

Diferencias Clave de un Vistazo

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 →

Característica	Qwen3 Coder Flash	Qwen3-Coder 480B-A35B Instruct
Intelligence Index Composite reasoning & knowledge score (0-100)	77	86
Provider	Alibaba	Alibaba
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 text	262.1K tokens~393 A4 pages of text
Max Output Tokens Per single request	8K	16K
Throughput Speed Tokens generated per second	130 tok/s	52 tok/s
SWE-bench Verified Real-world software engineering	N/A	56.5%
GPQA Diamond Graduate-level reasoning	N/A	70%
Cached Input Price Prompt caching discount per 1M tokens	$0.01 / 1M	$0.00 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Qwen3-Coder 480B-A35B Instruct

1.0x cheaper monthly runtime

Velocidad

Qwen3 Coder Flash

+150% faster generation

Contexto

Qwen3 Coder Flash

1M tokens window

Puntuaciones 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

Latencia y Tiempo de Respuesta

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 Interactivo de Costos de Tokens

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

Daily Input Tokens100K / day

10K500K1M

Daily Output Tokens30K / day

5K150K300K

Prompt Cache Hit Ratio50% 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

Ventana de contexto de 1M con hasta 8K tokens de salida máxima (MMLU-Pro 74.5% · Arena Elo 1265)
Rendimiento ágil de 130 tokens/segundo con latencia inicial (TTFT) de solo 330 ms
Economía de API competitiva ($0.1/$0.4 por 1M de tokens) con soporte para caché de prompts y salidas JSON estructuradas

Considerations & Trade-offs

Modelo propietario en la nube; no permite descargar los pesos para ejecución local sin conexión
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

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

Ventana de contexto de 262K con hasta 16K tokens de salida máxima (SWE-bench Verified 56.5% · GPQA Diamond 70%)
Rendimiento ágil de 52 tokens/segundo con latencia inicial (TTFT) de solo 760 ms
Pesos abiertos (480B total (35B MoE)) listos para autoalojamiento local o en nube privada mediante vLLM y Ollama

Considerations & Trade-offs

Requiere infraestructura GPU dedicada con suficiente memoria VRAM para inferencia local sin cuantización
En demostraciones científicas extremas, los modelos de razonamiento pesado de gama alta ofrecen mayor profundidad

Token Use & Task Economics

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

Metric	Qwen3 Coder Flash	Qwen3-Coder 480B-A35B Instruct
Cost per Task Estimated USD to finish one task	$0.03	$0.00
Output Tokens / Task Tokens generated per task	15K	25K
Reasoning Tokens / Task Thinking tokens burned per task	0K	9K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Qwen3 Coder Flash	Qwen3-Coder 480B-A35B Instruct
Official API Model ID (SDK)	qwen3-coder-flash-instruct	qwen3-coder-480b-a35b-instruct
API Protocol	Alibaba REST API (OpenAI-Compatible)	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2025-07	2025-04
Knowledge Cutoff	May 2025	March 2025
Architecture	Optimized Lightweight Hosted Code Transformer	Code-Specialized Sparse Mixture-of-Experts Transformer
Parameters	Confidential	480B total (35B active MoE)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	Unlimited (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 window	Free across full context window (only KV-cache VRAM scales)
Prompt Cache Policy & TTL	Cached input at $0.01/1M tokens	Automatic prefix KV-caching in vLLM / SGLang (0 cost)
Computer Use / GUI Agent	API / 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 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	Supported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning Support	API Prompt Engineering & RAG Distillation	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	Cloud-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 Classification	Alibaba Production Safety & Alignment Verified	Open-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 Tier	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text	text
Output Modalities	text	text

Qwen3 Coder Flash vs Qwen3-Coder 480B-A35B Instruct: Respuestas 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.

Veredicto

Tanto Qwen3 Coder Flash (Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.) como Qwen3-Coder 480B-A35B Instruct (Ideal para autoalojamiento en servidores propios, ajuste fino (fine-tuning) y soberanía de datos, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Qwen3-Coder 480B-A35B Instruct lidera en inteligencia general y programación, Qwen3 Coder Flash ofrece mayor velocidad de generación de tokens y Qwen3-Coder 480B-A35B Instruct resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Qwen3 Coder Flash o Qwen3-Coder 480B-A35B Instruct?+

En las pruebas de inteligencia compuesta y resolución de código, Qwen3-Coder 480B-A35B Instruct obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Qwen3 Coder Flash frente a Qwen3-Coder 480B-A35B Instruct?+

Qwen3 Coder Flash cuesta $0.10 / $0.40 por millón de tokens de entrada/salida, mientras que Qwen3-Coder 480B-A35B Instruct cuesta $0.00 / $0.00. En costo combinado, Qwen3-Coder 480B-A35B Instruct es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Qwen3 Coder Flash cuenta con 1M tokens de contexto frente a 262.1K tokens de Qwen3-Coder 480B-A35B Instruct. En velocidad de inferencia, Qwen3 Coder Flash ofrece un rendimiento superior.

AI Terminology & Guide

Explore Glossary →

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

Tokens & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

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

Cambia y Compara Cualquier Modelo

Qwen3 Coder Flash

Qwen3-Coder 480B-A35B Instruct

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Qwen3 Coder Flash · Strengths & Key Advantages

Considerations & Trade-offs

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

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

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

Veredicto

Preguntas frecuentes

Related reading