Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Geprüft vom GetInfoUs-ForschungsteamZuletzt geprüft: October 2026Redaktionelle Richtlinien

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Qwen3 Coder FlashProfile

Qwen3-Coder 480B-A35B InstructProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Coder Flash

Ultraschnelle Echtzeit-Inferenz

Qwen3 Coder Flash von Alibaba ist ein KI-Modell für ultraschnelle Echtzeit-Antworten, niedrige Latenz und Hochdurchsatz-Routing mit 1M Kontextfenster, 130 Token/s Durchsatz, einem Intelligenz-Index von 77/100 und $0.1/$0.4 pro 1M Token.

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

Open-Weights-Basismodell

Qwen3-Coder 480B-A35B Instruct von Alibaba ist ein KI-Modell für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität mit 262K Kontextfenster, 52 Token/s Durchsatz, einem Intelligenz-Index von 86/100 und kostenlose

Intelligence Index86 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

262.1K tokens

SWE-bench Verified:

56.5%

Wichtigste Unterschiede auf einen Blick

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 →

Feature	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

Wer gewinnt in welcher Disziplin?

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

Geprüfte Benchmark-Ergebnisse im Vergleich

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

Latenz & Antwortzeit

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

Interaktiver Token-Kosten-Simulator

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

1M Kontextfenster und bis zu 8K maximale Output-Token (MMLU-Pro 74.5% · Arena Elo 1265)
Hohe Generierungsgeschwindigkeit von 130 Token/Sekunde bei nur 330 ms Erstlatenz (TTFT)
Effiziente API-Struktur ($0.1/$0.4 pro 1M Token) inklusive Prompt-Caching, Tool-Calling und strikter JSON-Ausgabe

Considerations & Trade-offs

Proprietäres Cloud-Modell ohne Möglichkeit zum lokalen Download der Modellgewichte
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

262K Kontextfenster und bis zu 16K maximale Output-Token (SWE-bench Verified 56.5% · GPQA Diamond 70%)
Hohe Generierungsgeschwindigkeit von 52 Token/Sekunde bei nur 760 ms Erstlatenz (TTFT)
Offene Modellgewichte (480B total (35B MoE)) für lokales Self-Hosting und Fine-Tuning über vLLM, SGLang oder Ollama

Considerations & Trade-offs

Erfordert dedizierte GPU-Hardware mit ausreichend VRAM für den lokalen Betrieb in voller Präzision
Bei extrem komplexen mehrstufigen Forschungsfragen bieten schwere Reasoning-Spezialmodelle noch tiefere Analysen

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

Technische Spezifikationen

Architecture, release timeline, capabilities, and modalities.

Feature	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: Schnelle Antworten (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.

Fazit

Sowohl Qwen3 Coder Flash (Optimal für ultraschnelle Echtzeit-Antworten, niedrige Latenz und Hochdurchsatz-Routing, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) als auch Qwen3-Coder 480B-A35B Instruct (Optimal für Self-Hosting im eigenen Rechenzentrum, Fine-Tuning und volle Datensouveränität, Enterprise-RAG-Systeme und skalierbare API-Pipelines.) überzeugen im Produktionseinsatz: Qwen3-Coder 480B-A35B Instruct führt bei komplexem Reasoning und Coding, Qwen3 Coder Flash liefert den höheren Token-Durchsatz und Qwen3-Coder 480B-A35B Instruct ist die kosteneffizienteste Wahl für große API-Workloads.

Häufig gestellte Fragen (FAQ)

Welches Modell ist besser für Coding und Reasoning – Qwen3 Coder Flash oder Qwen3-Coder 480B-A35B Instruct?+

Im Gesamt-Intelligenzindex und bei Software-Benchmarks liegt Qwen3-Coder 480B-A35B Instruct vorn. Prüfen Sie oben die SWE-bench- und GPQA-Werte für Ihren Anwendungsfall.

Wie unterscheiden sich die API-Preise von Qwen3 Coder Flash und Qwen3-Coder 480B-A35B Instruct?+

Qwen3 Coder Flash kostet $0.10 / $0.40 pro 1M Input-/Output-Tokens, Qwen3-Coder 480B-A35B Instruct liegt bei $0.00 / $0.00. Beim gewichteten Gesamtpreis ist Qwen3-Coder 480B-A35B Instruct günstiger.

Welches Modell hat das größere Kontextfenster und die höhere Geschwindigkeit?+

Qwen3 Coder Flash bietet 1M Tokens Kontext gegenüber 262.1K Tokens bei Qwen3-Coder 480B-A35B Instruct. Bei der Generierungsgeschwindigkeit liegt Qwen3 Coder Flash vorn.

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

Beliebige Modelle wechseln & vergleichen

Qwen3 Coder Flash

Qwen3-Coder 480B-A35B Instruct

Wer gewinnt in welcher Disziplin?

Geprüfte Benchmark-Ergebnisse im Vergleich

Latenz & Antwortzeit

Interaktiver Token-Kosten-Simulator

Qwen3 Coder Flash · Strengths & Key Advantages

Considerations & Trade-offs

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

Considerations & Trade-offs

Token Use & Task Economics

Technische Spezifikationen

Qwen3 Coder Flash vs Qwen3-Coder 480B-A35B Instruct: Schnelle Antworten (FAQ)

Fazit

Häufig gestellte Fragen (FAQ)

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