Head-to-Head Model Comparison

Qwen3 Coder Flash vs Gemini 4 Argon

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

Compare Qwen3 Coder Flash by Alibaba against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.

Comparación Directa (VS)

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Alibaba

Qwen3 Coder Flash

Codificador rápido

rápido, costo-efficient cloud codificación modelo diseñado para en tiempo real code completion, PR resúmenes, y alto-frequency desarrollador flujos de trabajo.

Intelligence Index77 / 100
Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Google

Gemini 4 Argon

Rey multimodal con salida de 1M

Google de DeepMind insignia de frontera razonamiento motor con 1-millones-token salida limits, autónomo cybersecurity defense, y en tiempo real audio/visión ingesta.

Intelligence Index97 / 100
Input Token:

$2.00 / 1M

Output Token:

$10.00 / 1M

Context Window:

1M tokens

SWE-bench Verified:

81.9%

Diferencias Clave de un Vistazo

  • Qwen3 Coder Flash is 23.1x cheaper for API usage (input + output tokens combined).
  • Qwen3 Coder Flash is faster at 130 tok/s vs 115 tok/s.
Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →
CaracterísticaQwen3 Coder FlashGemini 4 Argon
Intelligence Index
Composite reasoning & knowledge score (0-100)
7797
Provider
AlibabaGoogle
Input Price
Cost per million input tokens
$0.10 / 1M$2.00 / 1M
Output Price
Cost per million output tokens
$0.40 / 1M$10.00 / 1M
Blended Price
Weighted 7:2:1 cache:input:output per 1M
$0.07 / 1M$1.47 / 1M
Context Window
Maximum input + output tokens
1M tokens~1,500 A4 pages of text1M tokens~1,500 A4 pages of text
Max Output Tokens
Per single request
8K1000K
Throughput Speed
Tokens generated per second
130 tok/s115 tok/s
SWE-bench Verified
Real-world software engineering
N/A81.9%
GPQA Diamond
Graduate-level reasoning
N/A81.5%
Cached Input Price
Prompt caching discount per 1M tokens
$0.01 / 1M$0.10 / 1M

¿Quién gana en cada área?

At-a-glance decision framework
Código

Evaluations ongoing

Costo
Qwen3 Coder Flash
23.1x cheaper monthly runtime
Velocidad
Qwen3 Coder Flash
+13% faster generation
Contexto
Tied
1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Qwen3 Coder FlashGemini 4 Argon
SWE-bench Verified (Autonomous Coding)

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

N/Avs81.9%
GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs81.5%
MMLU-Pro (Multi-task Language Understanding)

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

74.5%vs90.8%
LMSYS Chatbot Arena Elo

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

1265ptsvs1525pts
Humanity's Last Exam (Frontier Expert Knowledge)

Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.

N/Avs18.9%
Terminal-Bench (Agentic Coding & Terminal Use)

Autonomous multi-step tasks executed inside a real command-line terminal environment.

N/Avs57.4%
SciCode (Scientific Computing)

Research-grade coding problems drawn from real scientific and numerical workloads.

N/Avs56.4%
LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

61.5%vs80.5%
AIME (Advanced Math Competition)

American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.

N/Avs94.8%
Long-Context Reasoning

Accuracy when reasoning over very large inputs that fill the model context window.

N/Avs96.4%
Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs115 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
Gemini 4 Argon0.85s
Est. End-to-End Response (500 tokens)TTFT + generation time
Qwen3 Coder Flash4.18s
Gemini 4 Argon5.20s

Simulador Interactivo de Costos 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
Gemini 4 Argon Monthly API Bill
$12.15 / month
$2/1M in · $10/1M out
Qwen3 Coder Flash saves approximately $11.63 / month (96%) under this workload.23.1x Savings

Qwen3 Coder Flash · Strengths & Key Advantages

  • Blazing rápido generación velocidad con minimal tiempo-un-primer-token delay
  • económico $0.10/1M entrada precios paired con 1M contexto capacidad
  • alto precisión en cotidiano codificación scripts y boilerplate generación
Considerations & Trade-offs
  • Struggles con subtle concurrency race conditions y multifarchivo arquitectura
  • menos profundo cadena de pensamiento que Qwen3 Coder Plus

Gemini 4 Argon · Strengths & Key Advantages

  • Groundbreaking 1,000,000 token maximum salida generación capacidad via largo Decode Continuation
  • 1M-token entrada window con 99.7% GraphWalks recall (84.2% en el 256K-1M range)
  • nativo procesamiento de completo audio, video streams, y visual datos (91.7% en LVBench)
  • Half el token precio de de Anthropic Opus 5.5 y #1 en Chatbot Arena (1525 Elo)
Considerations & Trade-offs
  • masivo token outputs puede incur alto absolute costos if unconstrained (~62K salida tokens por index tarea)
  • $2/$10 precios es un introductory 50% discount; estándar rates revert un $4/$20 once el promotion ends

Token Use & Task Economics

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

MetricQwen3 Coder FlashGemini 4 Argon
Cost per Task
Estimated USD to finish one task
$0.03$2.45
Output Tokens / Task
Tokens generated per task
15K75K
Reasoning Tokens / Task
Thinking tokens burned per task
0K36K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

CaracterísticaQwen3 Coder FlashGemini 4 Argon
Official API Model ID (SDK)qwen3-coder-flash-instructmodels/gemini-4-argon
API ProtocolAlibaba REST API (OpenAI-Compatible)Google Gemini API (generateContent) + OpenAI-Compatible SDK
Release Date2025-072026-09
Knowledge CutoffMay 2025June 2026
ArchitectureOptimized Lightweight Hosted Code TransformerPathways Multimodal Sparse Mixture-of-Experts
ParametersConfidentialConfidential
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM10,000 – 30,000 RPM (Tier 5 Enterprise) · 4,000,000 – 10,000,000 TPM
Long-Context Tier (>128K/200K)Flat rate ($0.1/1M in) across full 1000K windowStandard rate up to 200K tokens; 2x input/output tier above 200K tokens
Prompt Cache Policy & TTLCached input at $0.01/1M tokensImplicit + Explicit Context Caching at $0.1/1M with configurable TTL
Computer Use / GUI AgentAPI / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop)Supported (Screen coordinate grounding, browser & desktop GUI action loops)
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 toolsBuilt-in Google Search Grounding + Managed Python Code Execution Sandbox
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationVertex AI Supervised Adapter Tuning & Context Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token) · Vision (~258–765 tokens per image tile) · Audio (~25–32 tokens/sec) · Video (~258–300 tokens/sec)
Quantization & Min GPU VRAMCloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier ClassificationAlibaba Production Safety & Alignment VerifiedGoogle DeepMind Frontier Safety Framework Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext, vision, audio, video
Output Modalitiestexttext

Qwen3 Coder Flash vs Gemini 4 Argon: Respuestas Rápidas (FAQ)

Which is more intelligent, Qwen3 Coder Flash or Gemini 4 Argon?

Gemini 4 Argon is more intelligent. It scores 97 compared with 77 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Flash is faster, generating 130 tokens per second compared with 115 tokens per second.

Which model is cheaper to run?

Qwen3 Coder Flash is cheaper at $0.07 per 1M tokens blended, compared with $1.47 (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 0.85s.

Veredicto

Choose Qwen3 Coder Flash for ci/cd linters, pr automatizado feedback bots, y responsive interactivo code generators, or choose Gemini 4 Argon for whole-repositorio generación de código, completo-book síntesis, video comprensión, y multi-hour audio procesamiento.

Preguntas frecuentes

Which is cheaper: Qwen3 Coder Flash or Gemini 4 Argon?+

Qwen3 Coder Flash costs $0.1/1M input and $0.4/1M output tokens, while Gemini 4 Argon costs $2/1M input and $10/1M output tokens.

Which model has a larger context window: Qwen3 Coder Flash or Gemini 4 Argon?+

Qwen3 Coder Flash supports 1M tokens whereas Gemini 4 Argon supports 1M tokens.

AI Terminology & Guide
Explore Glossary →

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

Las puntuaciones de benchmarks, precios por token y límites de tasa evolucionan rápidamente. Verifique siempre las especificaciones actuales en la documentación oficial del proveedor.

Fuentes: Alibaba & Google Official Documentation