Head-to-Head Model Comparison

Qwen3 Coder Plus 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 PlusProfile

Devstral MediumProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Alibaba

Qwen3 Coder Plus

Modelo Insignia de Frontera

Qwen3 Coder Plus de Alibaba es un modelo de IA diseñado para razonamiento empresarial de frontera, programación avanzada y flujos de producción, con ventana de contexto de 1.0M, velocidad de 80 tokens/s, índice de inteligencia de 85/100 y t

Intelligence Index85 / 100

Input Token:

$0.80 / 1M

Output Token:

$3.20 / 1M

Context Window:

1.05M tokens

SWE-bench Verified:

54%

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

Devstral Medium is 1.1x cheaper for API usage (input + output tokens combined).
Qwen3 Coder Plus has a larger context window (1M vs 128K tokens).
Qwen3 Coder Plus is faster at 80 tok/s vs 75 tok/s.
Qwen3 Coder Plus leads on SWE-bench coding (54.0% vs 51.5%).

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

Característica	Qwen3 Coder Plus	Devstral Medium
Intelligence Index Composite reasoning & knowledge score (0-100)	85	52
Provider	Alibaba	Mistral AI
Input Price Cost per million input tokens	$0.80 / 1M	$0.80 / 1M
Output Price Cost per million output tokens	$3.20 / 1M	$2.40 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.54 / 1M	$0.54 / 1M
Context Window Maximum input + output tokens	1.05M tokens~1,573 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	16K	33K
Throughput Speed Tokens generated per second	80 tok/s	75 tok/s
SWE-bench Verified Real-world software engineering	54%	51.5%
GPQA Diamond Graduate-level reasoning	66.5%	62%
Cached Input Price Prompt caching discount per 1M tokens	$0.08 / 1M	$0.20 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Qwen3 Coder Plus

+2.5% SWE-bench lead

Costo

Devstral Medium

1.1x cheaper monthly runtime

Velocidad

Qwen3 Coder Plus

+7% faster generation

Contexto

Qwen3 Coder Plus

1.05M tokens window

Puntuaciones de Benchmarks Verificadas

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

Qwen3 Coder PlusDevstral Medium

SWE-bench Verified (Autonomous Coding)

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

54%vs51.5%

GPQA Diamond (Doctorate-Level Science & Math)

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

66.5%vs62%

MMLU-Pro (Multi-task Language Understanding)

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

81%vs80.5%

LMSYS Chatbot Arena Elo

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

1340ptsvs1330pts

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.

71%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.

80 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 Plus0.51s

Devstral Medium0.50s

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

Qwen3 Coder Plus6.76s

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 Plus Monthly API Bill

$4.20 / month

$0.8/1M in · $3.2/1M out

Devstral Medium Monthly API Bill

$3.66 / month

$0.8/1M in · $2.4/1M out

Devstral Medium saves approximately $0.54 / month (13%) under this workload.1.1x Savings

Qwen3 Coder Plus · Strengths & Key Advantages

Ventana de contexto de 1.0M con hasta 16K tokens de salida máxima (SWE-bench Verified 54% · GPQA Diamond 66.5%)
Rendimiento ágil de 80 tokens/segundo con latencia inicial (TTFT) de solo 510 ms
Economía de API competitiva ($0.8/$3.2 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 Plus	Devstral Medium
Cost per Task Estimated USD to finish one task	$0.22	$0.55
Output Tokens / Task Tokens generated per task	22K	38K
Reasoning Tokens / Task Thinking tokens burned per task	7K	18K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Qwen3 Coder Plus	Devstral Medium
Official API Model ID (SDK)	qwen3-coder-plus-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	Hosted Enterprise Code-Specialized 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 ($0.8/1M in) across full 1049K window	Flat rate ($0.8/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.08/1M 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 Plus vs Devstral Medium: Respuestas Rápidas (FAQ)

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

Qwen3 Coder Plus is more intelligent. It scores 85 compared with 52 on the composite Intelligence Index.

Which model is faster?

Qwen3 Coder Plus is faster, generating 80 tokens per second compared with 75 tokens per second.

Which model has lower latency?

Devstral Medium has lower latency, with a time to first token of 0.50s compared with 0.51s.

Which model has a larger context window?

Qwen3 Coder Plus has a larger context window, supporting 1.05M tokens compared with 128K tokens.

Veredicto

Tanto Qwen3 Coder Plus (Ideal para razonamiento empresarial de frontera, programación avanzada y flujos de producción, 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 Plus lidera en inteligencia general y programación, Qwen3 Coder Plus ofrece mayor velocidad de generación de tokens y Qwen3 Coder Plus resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

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

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

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

Qwen3 Coder Plus cuesta $0.80 / $3.20 por millón de tokens de entrada/salida, mientras que Devstral Medium cuesta $0.80 / $2.40. En costo combinado, Qwen3 Coder Plus es la opción más económica.

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

Qwen3 Coder Plus cuenta con 1.05M tokens de contexto frente a 128K tokens de Devstral Medium. En velocidad de inferencia, Qwen3 Coder Plus 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 Plus vs Devstral Medium

Cambia y Compara Cualquier Modelo

Qwen3 Coder Plus

Devstral Medium

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Qwen3 Coder Plus · Strengths & Key Advantages

Considerations & Trade-offs

Devstral Medium · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

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

Veredicto

Preguntas frecuentes

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