Qwen3 Coder Flash vs Gemini 4 Argon
Benchmarks, API Token Pricing, Context Window & Speed Comparison
Related topics (4)
Compare Qwen3 Coder Flash by Alibaba against Gemini 4 Argon by Google across real-world coding, reasoning, token economics, and latency.
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Qwen3 Coder Flash
Inferencia UltrarrápidaQwen3 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 $
$0.10 / 1M
$0.40 / 1M
1M tokens
N/A
Gemini 4 Argon
IA Multimodal NativaGemini 4 Argon de Google es un modelo de IA diseñado para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, con ventana de contexto de 1M, velocidad de 115 tokens/s, índice de inteligencia de 97/100 y tarifa d
$2.00 / 1M
$10.00 / 1M
1M tokens
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.
| Característica | Qwen3 Coder Flash | Gemini 4 Argon |
|---|---|---|
Intelligence Index Composite reasoning & knowledge score (0-100) | 77 | 97 |
Provider | Alibaba | |
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 text | 1M tokens~1,500 A4 pages of text |
Max Output Tokens Per single request | 8K | 1000K |
Throughput Speed Tokens generated per second | 130 tok/s | 115 tok/s |
SWE-bench Verified Real-world software engineering | N/A | 81.9% |
GPQA Diamond Graduate-level reasoning | N/A | 81.5% |
Cached Input Price Prompt caching discount per 1M tokens | $0.01 / 1M | $0.10 / 1M |
¿Quién gana en cada área?
At-a-glance decision frameworkEvaluations ongoing
Puntuaciones de Benchmarks Verificadas
Official evaluation metrics verified by independent third-party research labs.
Industry benchmark evaluating real-world GitHub issue resolution and multi-file debugging.
Challenging questions created by domain experts to test complex PhD-level reasoning.
Hardened reasoning and academic knowledge benchmark with reduced lucky-guess probability.
Crowdsourced human preference evaluation based on blind, head-to-head model battles.
Extremely difficult, closed-ended questions spanning the frontier of human expert knowledge.
Autonomous multi-step tasks executed inside a real command-line terminal environment.
Research-grade coding problems drawn from real scientific and numerical workloads.
Contamination-free competitive programming problems collected continuously over time.
American Invitational Mathematics Examination — multi-step Olympiad-level reasoning.
Accuracy when reasoning over very large inputs that fill the model context window.
Tokens emitted per second during active generation streaming.
Latencia y Tiempo de Respuesta
Time to first token (TTFT) and estimated end-to-end response time for a typical 500-token response.
Simulador Interactivo de Costos de Tokens
Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.
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
Gemini 4 Argon · Strengths & Key Advantages
- Ventana de contexto de 1M con hasta 1M tokens de salida máxima (SWE-bench Verified 81.9% · GPQA Diamond 81.5%)
- Rendimiento ágil de 115 tokens/segundo con latencia inicial (TTFT) de solo 850 ms
- Economía de API competitiva ($2/$10 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 volúmenes masivos de tokens, se recomienda activar el caché de prompts y Batch API para optimizar costos
Token Use & Task Economics
Estimated cost and token consumption to complete one representative agentic task.
| Metric | Qwen3 Coder Flash | Gemini 4 Argon |
|---|---|---|
Cost per Task Estimated USD to finish one task | $0.03 | $2.45 |
Output Tokens / Task Tokens generated per task | 15K | 75K |
Reasoning Tokens / Task Thinking tokens burned per task | 0K | 36K |
Especificaciones Técnicas
Architecture, release timeline, capabilities, and modalities.
| Característica | Qwen3 Coder Flash | Gemini 4 Argon |
|---|---|---|
| Official API Model ID (SDK) | qwen3-coder-flash-instruct | models/gemini-4-argon |
| API Protocol | Alibaba REST API (OpenAI-Compatible) | Google Gemini API (generateContent) + OpenAI-Compatible SDK |
| Release Date | 2025-07 | 2026-09 |
| Knowledge Cutoff | May 2025 | June 2026 |
| Architecture | Optimized Lightweight Hosted Code Transformer | Pathways Multimodal Sparse Mixture-of-Experts |
| Parameters | Confidential | Confidential |
| Enterprise Rate Limits (RPM / TPM) | 5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM | 10,000 – 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 window | Standard rate up to 200K tokens; 2x input/output tier above 200K tokens |
| Prompt Cache Policy & TTL | Cached input at $0.01/1M tokens | Implicit + Explicit Context Caching at $0.1/1M with configurable TTL |
| Computer Use / GUI Agent | API / CLI Tool-Use & DOM Agent ready (no raw pixel desktop click loop) | Supported (Screen coordinate grounding, browser & desktop GUI action loops) |
| 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 | Built-in Google Search Grounding + Managed Python Code Execution Sandbox |
| Official Fine-Tuning Support | API Prompt Engineering & RAG Distillation | Vertex AI Supervised Adapter Tuning & Context Distillation |
| Multimodal Token Billing | Text 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 VRAM | Cloud-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 Classification | Alibaba Production Safety & Alignment Verified | Google DeepMind Frontier Safety Framework Verified |
| Enterprise Compliance (ZDR/HIPAA/SOC2) | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier | SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier |
| Input Modalities | text | text, vision, audio, video |
| Output Modalities | text | text |
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 ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas rag empresariales y automatización mediante api., or choose Gemini 4 Argon for ideal para comprensión multimodal nativa de texto e imagen y análisis visual de documentos, sistemas rag empresariales y automatización mediante api..
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.
Understand key metrics like context window, token pricing, reasoning mode, and SWE-bench scores in our comprehensive AI glossary.
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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