Head-to-Head Model Comparison

Qwen3 Coder Flash vs Devstral Medium

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

Cambia y Compara Cualquier Modelo

Select any AI models from our verified benchmark database to generate live side-by-side matrices.

Qwen3 Coder FlashProfile

Devstral MediumProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Coder Flash

Inferencia Ultrarrápida

Qwen3 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 $

Intelligence Index77 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.40 / 1M

Context Window:

1M tokens

SWE-bench Verified:

N/A

Mistral AI

Devstral Medium

IA Agéntica y Uso de Herramientas

Devstral Medium de Mistral AI es un modelo de IA diseñado para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, con ventana de contexto de 128K, velocidad de 75 tokens/s, índice de inteligencia de 52/

Intelligence Index52 / 100

Input Token:

$0.80 / 1M

Output Token:

$2.40 / 1M

Context Window:

128K tokens

SWE-bench Verified:

51.5%

Diferencias Clave de un Vistazo

Qwen3 Coder Flash is 7.0x cheaper for API usage (input + output tokens combined).
Qwen3 Coder Flash has a larger context window (1M vs 128K tokens).
Qwen3 Coder Flash is faster at 130 tok/s vs 75 tok/s.

Need definitions for token pricing, context, or benchmarks?Explore AI Glossary →

Característica	Qwen3 Coder Flash	Devstral Medium
Intelligence Index Composite reasoning & knowledge score (0-100)	77	52
Provider	Alibaba	Mistral AI
Input Price Cost per million input tokens	$0.10 / 1M	$0.80 / 1M
Output Price Cost per million output tokens	$0.40 / 1M	$2.40 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.07 / 1M	$0.54 / 1M
Context Window Maximum input + output tokens	1M tokens~1,500 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	8K	33K
Throughput Speed Tokens generated per second	130 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	N/A	51.5%
GPQA Diamond Graduate-level reasoning	N/A	62%
Cached Input Price Prompt caching discount per 1M tokens	$0.01 / 1M	$0.20 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Evaluations ongoing

Costo

Qwen3 Coder Flash

7.0x cheaper monthly runtime

Velocidad

Qwen3 Coder Flash

+73% faster generation

Contexto

Qwen3 Coder Flash

1M tokens window

Puntuaciones de Benchmarks Verificadas

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

Qwen3 Coder FlashDevstral Medium

SWE-bench Verified (Autonomous Coding)

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

N/Avs51.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

N/Avs62%

MMLU-Pro (Multi-task Language Understanding)

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

74.5%vs80.5%

LMSYS Chatbot Arena Elo

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

1265ptsvs1330pts

Terminal-Bench (Agentic Coding & Terminal Use)

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

N/Avs45%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

61.5%vsN/A

AIME (Advanced Math Competition)

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

N/Avs72%

Long-Context Reasoning

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

N/Avs78%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

130 tok/s vs75 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

Devstral Medium0.50s

Est. End-to-End Response (500 tokens)TTFT + generation time

Qwen3 Coder Flash4.18s

Devstral Medium7.17s

Simulador Interactivo de Costos de Tokens

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

Devstral Medium Monthly API Bill

$3.66 / month

$0.8/1M in · $2.4/1M out

Qwen3 Coder Flash saves approximately $3.13 / month (86%) under this workload.7.0x Savings

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

Devstral Medium · Strengths & Key Advantages

Ventana de contexto de 128K con hasta 33K tokens de salida máxima (SWE-bench Verified 51.5% · GPQA Diamond 62%)
Rendimiento ágil de 75 tokens/segundo con latencia inicial (TTFT) de solo 500 ms
Economía de API competitiva ($0.8/$2.4 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

Token Use & Task Economics

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

Metric	Qwen3 Coder Flash	Devstral Medium
Cost per Task Estimated USD to finish one task	$0.03	$0.55
Output Tokens / Task Tokens generated per task	15K	38K
Reasoning Tokens / Task Thinking tokens burned per task	0K	18K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Qwen3 Coder Flash	Devstral Medium
Official API Model ID (SDK)	qwen3-coder-flash-instruct	devstral-medium-latest
API Protocol	Alibaba REST API (OpenAI-Compatible)	Mistral AI REST API (OpenAI-Compatible)
Release Date	2025-07	2025-07
Knowledge Cutoff	May 2025	May 2025
Architecture	Optimized Lightweight Hosted Code Transformer	High-Capacity Agentic Code Transformer
Parameters	Confidential	Confidential (~70B)
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 4,000,000 – 10,000,000 TPM	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM
Long-Context Tier (>128K/200K)	Flat rate ($0.1/1M in) across full 1000K window	Flat rate ($0.8/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.01/1M tokens	Cached input at $0.2/1M tokens
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	API Prompt Engineering & RAG Distillation
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)	Cloud-Hosted Proprietary (FP8 / BF16 Tensor Core Cluster) · Zero Local VRAM Required (100% Serverless Cloud API)
Safety & Frontier Classification	Alibaba Production Safety & Alignment Verified	Mistral AI Production Safety & Alignment 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
Output Modalities	text	text

Qwen3 Coder Flash vs Devstral Medium: Respuestas Rápidas (FAQ)

Which is more intelligent, Qwen3 Coder Flash or Devstral Medium?

Qwen3 Coder Flash is more intelligent. It scores 77 compared with 52 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Flash is faster, generating 130 tokens per second compared with 75 tokens per second.

Which model is cheaper to run?

Qwen3 Coder Flash is cheaper at $0.07 per 1M tokens blended, compared with $0.54 (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 0.50s.

Which model has a larger context window?

Qwen3 Coder Flash has a larger context window, supporting 1M tokens compared with 128K tokens.

Veredicto

Tanto Qwen3 Coder Flash (Ideal para interacción en tiempo real, baja latencia y enrutamiento de alto volumen, sistemas RAG empresariales y automatización mediante API.) como Devstral Medium (Ideal para flujos de trabajo agénticos autónomos, llamada a herramientas y automatización compleja, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Qwen3 Coder Flash lidera en inteligencia general y programación, Qwen3 Coder Flash ofrece mayor velocidad de generación de tokens y Qwen3 Coder Flash resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Qwen3 Coder Flash o Devstral Medium?+

En las pruebas de inteligencia compuesta y resolución de código, Qwen3 Coder Flash obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Qwen3 Coder Flash frente a Devstral Medium?+

Qwen3 Coder Flash cuesta $0.10 / $0.40 por millón de tokens de entrada/salida, mientras que Devstral Medium cuesta $0.80 / $2.40. En costo combinado, Qwen3 Coder Flash es la opción más económica.

¿Qué modelo tiene mayor ventana de contexto y menor latencia?+

Qwen3 Coder Flash cuenta con 1M tokens de contexto frente a 128K tokens de Devstral Medium. En velocidad de inferencia, Qwen3 Coder Flash ofrece un rendimiento superior.

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 Devstral Medium

Cambia y Compara Cualquier Modelo

Qwen3 Coder Flash

Devstral Medium

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Qwen3 Coder Flash · Strengths & Key Advantages

Considerations & Trade-offs

Devstral Medium · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Qwen3 Coder Flash vs Devstral Medium: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

Related reading