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Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri
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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

Alibaba tarafından geliştirilen Qwen3 Coder Flash ve Alibaba tarafından sunulan Qwen3-Coder 480B-A35B Instruct, kendi sınıflarının öne çıkan yapay zeka modelleridir. Qwen3 Coder Flash, 1M token bağlam penceresi ve 1M token başına $0.10/$0.40 fiyat sunarken; Qwen3-Coder 480B-A35B Instruct, 262.1K token bağlam penceresi ve $0.00/$0.00 fiyatla gelir. Aşağıda tüm benchmark, hız ve maliyet detaylarını inceleyebilirsiniz.

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Popular Matchups:
Alibaba

Qwen3 Coder Flash

Ultra Hızlı Düşük Gecikme

Alibaba tarafından geliştirilen Qwen3 Coder Flash; ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 1M bağlam penceresi, 130 token/sn hız, 77/100 zeka indeksi ve 1M token başına $0.1/$0.4 fiyat

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

Açık Ağırlıklı Temel Model

Alibaba tarafından geliştirilen Qwen3-Coder 480B-A35B Instruct; özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 262K bağlam penceresi, 52 token/sn hız, 86/100 zeka indeksi ve ücr

Intelligence Index86 / 100
Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

56.5%

Bir Bakışta Temel Farklar

  • 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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

  • 1M bağlam penceresi ve yanıt başına maksimum 8K çıktı tokenı kapasitesi (MMLU-Pro 74.5% · Arena Elo 1265)
  • Sadece 330 ms ilk token gecikmesi (TTFT) ile saniyede 130 token yüksek üretim hızı
  • İstem önbellekleme (Prompt Caching), araç çağırma ve yapılandırılmış JSON çıktısını destekleyen rekabetçi API ekonomisi (1M token başına $0.1/$0.4 fiyatlandırma)
Considerations & Trade-offs
  • Kapalı ağırlıklı bulut modelidir; çevrimdışı yerel sunuculara indirilerek çalıştırılamaz
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

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

  • 262K bağlam penceresi ve yanıt başına maksimum 16K çıktı tokenı kapasitesi (SWE-bench Verified 56.5% · GPQA Diamond 70%)
  • Sadece 760 ms ilk token gecikmesi (TTFT) ile saniyede 52 token yüksek üretim hızı
  • vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (480B total (35B MoE))
Considerations & Trade-offs
  • Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
  • Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

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

Teknik Özellikler

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: Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem Qwen3 Coder Flash (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Qwen3-Coder 480B-A35B Instruct (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Qwen3-Coder 480B-A35B Instruct karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Qwen3 Coder Flash daha yüksek üretim hızı sağlar; Qwen3-Coder 480B-A35B Instruct ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Qwen3 Coder Flash mi yoksa Qwen3-Coder 480B-A35B Instruct mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Qwen3-Coder 480B-A35B Instruct önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Qwen3 Coder Flash ve Qwen3-Coder 480B-A35B Instruct API fiyatları nasıl karşılaştırılır?+

Qwen3 Coder Flash 1M giriş/çıkış tokeni başına $0.10 / $0.40 ücretlendirilirken, Qwen3-Coder 480B-A35B Instruct $0.00 / $0.00 seviyesindedir. Karma maliyette Qwen3-Coder 480B-A35B Instruct daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Qwen3 Coder Flash 1M token bağlam penceresi sunarken Qwen3-Coder 480B-A35B Instruct 262.1K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Qwen3 Coder Flash öndedir.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

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.

Resmi kaynaklar: Alibaba ve Alibaba resmi API dokümantasyonu, sistem kartları ve bağımsız benchmark testleri (2026).