Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale
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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 di Alibaba e Qwen3-Coder 480B-A35B Instruct di Alibaba sono due modelli di IA di riferimento. Qwen3 Coder Flash offre una finestra di contesto di 1M token a $0.10/$0.40 per milione di token, mentre Qwen3-Coder 480B-A35B Instruct mette a disposizione 262.1K token di contesto a $0.00/$0.00 per milione di token. Di seguito analizziamo benchmark, latenza e costi.

Confronto Diretto (VS)

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Popular Matchups:
Alibaba

Qwen3 Coder Flash

Inferenza Ultra-Rapida

Qwen3 Coder Flash di Alibaba è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 1M, velocità di 130 token/s, indice di intelligenza di 77/100 e tarif

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

Modello Base a Pesi Aperti

Qwen3-Coder 480B-A35B Instruct di Alibaba è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 262K, velocità di 52 token/s, indice di intelli

Intelligence Index86 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

56.5%

Differenze Chiave a Colpo d’Occhio

  • 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

Chi vince in ogni 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

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

  • Finestra di contesto da 1M con capacità massima di output fino a 8K token (MMLU-Pro 74.5% · Arena Elo 1265)
  • Throughput elevato di 130 token/secondo con latenza al primo token (TTFT) di soli 330 ms
  • Economia API competitiva ($0.1/$0.4 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

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

  • Finestra di contesto da 262K con capacità massima di output fino a 16K token (SWE-bench Verified 56.5% · GPQA Diamond 70%)
  • Throughput elevato di 52 token/secondo con latenza al primo token (TTFT) di soli 760 ms
  • Pesi aperti (480B total (35B MoE)) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama
Considerations & Trade-offs
  • Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
  • Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

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: Risposte Rapide (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.

Verdetto

Sia Qwen3 Coder Flash (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) sia Qwen3-Coder 480B-A35B Instruct (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Qwen3-Coder 480B-A35B Instruct guida nei benchmark di ragionamento e programmazione, Qwen3 Coder Flash garantisce una generazione più rapida e Qwen3-Coder 480B-A35B Instruct offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Qwen3 Coder Flash o Qwen3-Coder 480B-A35B Instruct?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Qwen3-Coder 480B-A35B Instruct. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Qwen3 Coder Flash e Qwen3-Coder 480B-A35B Instruct?+

Qwen3 Coder Flash costa $0.10 / $0.40 per milione di token di input/output, mentre Qwen3-Coder 480B-A35B Instruct costa $0.00 / $0.00. Nel costo combinato, Qwen3-Coder 480B-A35B Instruct risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Qwen3 Coder Flash supporta 1M token di contesto contro 262.1K token di Qwen3-Coder 480B-A35B Instruct, mentre Qwen3 Coder Flash offre una velocità di generazione superiore.

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.

Fonti ufficiali: Documentazione API ufficiale di Alibaba e Alibaba, schede di sistema e benchmark indipendenti (2026).