Head-to-Head Model Comparison

Ministral 8B vs Ministral 3B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

Cambia e Confronta Qualsiasi Modello

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Ministral 8BProfile

Ministral 3BProfile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Mistral AI

Ministral 8B

Modello Leggero ed Economico

Ministral 8B di Mistral AI è un modello di IA progettato per la massima efficienza dei costi per token e l’inferenza rapida in produzione, con finestra di contesto da 128K, velocità di 110 token/s, indice di intelligenza di 38/100 e tariffa

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

Modello Leggero ed Economico

Ministral 3B di Mistral AI è un modello di IA progettato per la massima efficienza dei costi per token e l’inferenza rapida in produzione, con finestra di contesto da 128K, velocità di 180 token/s, indice di intelligenza di 33/100 e tariffa

Intelligence Index33 / 100

Input Token:

$0.04 / 1M

Output Token:

$0.04 / 1M

Context Window:

128K tokens

SWE-bench Verified:

22.1%

Differenze Chiave a Colpo d’Occhio

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 →

Feature	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

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Ministral 8B

+10.4% SWE-bench lead

Cost

Ministral 3B

2.5x cheaper monthly runtime

Speed

Ministral 3B

+64% faster generation

Context

Tied

128K tokens window

Punteggi Benchmark Verificati

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

Latenza e Tempo di Risposta

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

Simulatore Interattivo dei Costi Token

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

Finestra di contesto da 128K con capacità massima di output fino a 8K token (SWE-bench Verified 32.5% · GPQA Diamond 41.5%)
Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 330 ms
Economia API competitiva ($0.1/$0.1 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Ministral 3B · Strengths & Key Advantages

Finestra di contesto da 128K con capacità massima di output fino a 8K token (SWE-bench Verified 22.1% · GPQA Diamond 32.5%)
Throughput elevato di 180 token/secondo con latenza al primo token (TTFT) di soli 210 ms
Economia API competitiva ($0.04/$0.04 per 1M di token) con supporto per prompt caching, tool calling e output JSON strutturati

Considerations & Trade-offs

Modello cloud proprietario chiuso; non consente il download locale dei pesi per l’esecuzione offline
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

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

Specifiche Tecniche

Architecture, release timeline, capabilities, and modalities.

Feature	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: Risposte Rapide (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.

Verdetto

Sia Ministral 8B (Ideale per la massima efficienza dei costi per token e l’inferenza rapida in produzione, sistemi RAG aziendali e integrazioni API scalabili.) sia Ministral 3B (Ideale per la massima efficienza dei costi per token e l’inferenza rapida in produzione, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Ministral 8B guida nei benchmark di ragionamento e programmazione, Ministral 3B garantisce una generazione più rapida e Ministral 3B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Ministral 8B o Ministral 3B?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Ministral 8B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Ministral 8B e Ministral 3B?+

Ministral 8B costa $0.10 / $0.10 per milione di token di input/output, mentre Ministral 3B costa $0.04 / $0.04. Nel costo combinato, Ministral 3B risulta più economico.

Quale modello ha la finestra di contesto più ampia e la velocità maggiore?+

Ministral 8B supporta 128K token di contesto contro 128K token di Ministral 3B, mentre Ministral 3B offre una velocità di generazione superiore.

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 e Confronta Qualsiasi Modello

Ministral 8B

Ministral 3B

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Ministral 8B · Strengths & Key Advantages

Considerations & Trade-offs

Ministral 3B · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Ministral 8B vs Ministral 3B: Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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