Head-to-Head Model Comparison

Ministral 8B vs Ministral 3B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

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

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Ministral 8BProfile

Ministral 3BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Mistral AI

Ministral 8B

Modelo Ligero y Económico

Ministral 8B de Mistral AI es un modelo de IA diseñado para máxima eficiencia de costos por token y alta velocidad en producción, con ventana de contexto de 128K, velocidad de 110 tokens/s, índice de inteligencia de 38/100 y tarifa de $0.1/

Intelligence Index38 / 100

Input Token:

$0.10 / 1M

Output Token:

$0.10 / 1M

Context Window:

128K tokens

SWE-bench Verified:

32.5%

Mistral AI

Ministral 3B

Modelo Ligero y Económico

Ministral 3B de Mistral AI es un modelo de IA diseñado para máxima eficiencia de costos por token y alta velocidad en producción, con ventana de contexto de 128K, velocidad de 180 tokens/s, índice de inteligencia de 33/100 y tarifa de $0.04

Intelligence Index33 / 100

Input Token:

$0.04 / 1M

Output Token:

$0.04 / 1M

Context Window:

128K tokens

SWE-bench Verified:

22.1%

Diferencias Clave de un Vistazo

Ministral 3B is 2.5x cheaper for API usage (input + output tokens combined).
Ministral 3B is faster at 180 tok/s vs 110 tok/s.
Ministral 8B leads on SWE-bench coding (32.5% vs 22.1%).

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

Característica	Ministral 8B	Ministral 3B
Intelligence Index Composite reasoning & knowledge score (0-100)	38	33
Provider	Mistral AI	Mistral AI
Input Price Cost per million input tokens	$0.10 / 1M	$0.04 / 1M
Output Price Cost per million output tokens	$0.10 / 1M	$0.04 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.07 / 1M	$0.03 / 1M
Context Window Maximum input + output tokens	128K tokens~192 A4 pages of text	128K tokens~192 A4 pages of text
Max Output Tokens Per single request	8K	8K
Throughput Speed Tokens generated per second	110 tok/s	180 tok/s
SWE-bench Verified Real-world software engineering	32.5%	22.1%
GPQA Diamond Graduate-level reasoning	41.5%	32.5%
Cached Input Price Prompt caching discount per 1M tokens	$0.05 / 1M	$0.02 / 1M

¿Quién gana en cada área?

At-a-glance decision framework

Código

Ministral 8B

+10.4% SWE-bench lead

Costo

Ministral 3B

2.5x cheaper monthly runtime

Velocidad

Ministral 3B

+64% faster generation

Contexto

Tied

128K tokens window

Puntuaciones de Benchmarks Verificadas

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

Ministral 8BMinistral 3B

SWE-bench Verified (Autonomous Coding)

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

32.5%vs22.1%

GPQA Diamond (Doctorate-Level Science & Math)

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

41.5%vs32.5%

MMLU-Pro (Multi-task Language Understanding)

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

60.1%vs49.8%

LMSYS Chatbot Arena Elo

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

1235ptsvs1180pts

Humanity's Last Exam (Frontier Expert Knowledge)

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

4.2%vs2.4%

Terminal-Bench (Agentic Coding & Terminal Use)

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

21%vs14.8%

SciCode (Scientific Computing)

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

21.8%vs15.2%

LiveCodeBench (Competitive Coding)

Contamination-free competitive programming problems collected continuously over time.

35.8%vs24.5%

AIME (Advanced Math Competition)

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

41.2%vs28.5%

Long-Context Reasoning

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

65.2%vs60.5%

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

110 tok/s vs180 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

Ministral 8B0.33s

Ministral 3B0.21s

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

Ministral 8B4.88s

Ministral 3B2.99s

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)

Ministral 8B Monthly API Bill

$0.32 / month

$0.1/1M in · $0.1/1M out

Ministral 3B Monthly API Bill

$0.13 / month

$0.04/1M in · $0.04/1M out

Ministral 3B saves approximately $0.19 / month (60%) under this workload.2.5x Savings

Ministral 8B · Strengths & Key Advantages

Ventana de contexto de 128K con hasta 8K tokens de salida máxima (SWE-bench Verified 32.5% · GPQA Diamond 41.5%)
Rendimiento ágil de 110 tokens/segundo con latencia inicial (TTFT) de solo 330 ms
Economía de API competitiva ($0.1/$0.1 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

Ministral 3B · Strengths & Key Advantages

Ventana de contexto de 128K con hasta 8K tokens de salida máxima (SWE-bench Verified 22.1% · GPQA Diamond 32.5%)
Rendimiento ágil de 180 tokens/segundo con latencia inicial (TTFT) de solo 210 ms
Economía de API competitiva ($0.04/$0.04 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	Ministral 8B	Ministral 3B
Cost per Task Estimated USD to finish one task	$0.08	$0.03
Output Tokens / Task Tokens generated per task	21K	15K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Especificaciones Técnicas

Architecture, release timeline, capabilities, and modalities.

Característica	Ministral 8B	Ministral 3B
Official API Model ID (SDK)	ministral-8b-latest	ministral-3b-latest
API Protocol	Mistral AI REST API (OpenAI-Compatible)	Mistral AI REST API (OpenAI-Compatible)
Release Date	2024-10	2024-10
Knowledge Cutoff	October 2024	October 2024
Architecture	Compact Dense Transformer with Interleaved Sliding Window	Ultra-Compact Dense Transformer
Parameters	8B	3B
Enterprise Rate Limits (RPM / TPM)	5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 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 128K window	Flat rate ($0.04/1M in) across full 128K window
Prompt Cache Policy & TTL	Cached input at $0.05/1M tokens	Cached input at $0.02/1M 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	Mistral AI 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

Ministral 8B vs Ministral 3B: Respuestas Rápidas (FAQ)

Which is more intelligent, Ministral 8B or Ministral 3B?

Ministral 8B is more intelligent. It scores 38 compared with 33 on the composite Intelligence Index.

Which model is faster?

Ministral 3B is faster, generating 180 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

Ministral 3B is cheaper at $0.03 per 1M tokens blended, compared with $0.07 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Ministral 3B has lower latency, with a time to first token of 0.21s compared with 0.33s.

Veredicto

Tanto Ministral 8B (Ideal para máxima eficiencia de costos por token y alta velocidad en producción, sistemas RAG empresariales y automatización mediante API.) como Ministral 3B (Ideal para máxima eficiencia de costos por token y alta velocidad en producción, sistemas RAG empresariales y automatización mediante API.) destacan en producción: Ministral 8B lidera en inteligencia general y programación, Ministral 3B ofrece mayor velocidad de generación de tokens y Ministral 3B resulta más rentable para cargas de trabajo API de alto volumen.

Preguntas frecuentes

¿Cuál es mejor para programación y razonamiento, Ministral 8B o Ministral 3B?+

En las pruebas de inteligencia compuesta y resolución de código, Ministral 8B obtiene la ventaja. Puedes revisar la tabla SWE-bench y GPQA arriba para comparar cada métrica.

¿Cuánto cuesta la API de Ministral 8B frente a Ministral 3B?+

Ministral 8B cuesta $0.10 / $0.10 por millón de tokens de entrada/salida, mientras que Ministral 3B cuesta $0.04 / $0.04. En costo combinado, Ministral 3B es la opción más económica.

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

Ministral 8B cuenta con 128K tokens de contexto frente a 128K tokens de Ministral 3B. En velocidad de inferencia, Ministral 3B 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)

Ministral 8B vs Ministral 3B

Cambia y Compara Cualquier Modelo

Ministral 8B

Ministral 3B

¿Quién gana en cada área?

Puntuaciones de Benchmarks Verificadas

Latencia y Tiempo de Respuesta

Simulador Interactivo de Costos de Tokens

Ministral 8B · Strengths & Key Advantages

Considerations & Trade-offs

Ministral 3B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Especificaciones Técnicas

Ministral 8B vs Ministral 3B: Respuestas Rápidas (FAQ)

Veredicto

Preguntas frecuentes

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