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Head-to-Head Model Comparison

Ministral 8B vs Ministral 3B

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial
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AI CompareAI BenchmarkToken PricingModel CostModel SpecsSWE-bench CodingModel VersusWhich AI ModelLLM Speed & LatencyReasoning ModelsExtended ThinkingPrompt Caching ROI
Ministral 8B vs Ministral 3B: Benchmarks, Pricing & Speed Comparison

Ministral 8B dari Mistral AI dan Ministral 3B dari Mistral AI adalah dua model AI unggulan. Ministral 8B menawarkan jendela konteks 128K token dengan harga $0.10/$0.10 per 1 juta token, sedangkan Ministral 3B menyediakan konteks 128K token seharga $0.04/$0.04 per 1 juta token. Berikut perbandingan lengkap benchmark, latensi, dan biayanya.

Perbandingan Langsung (VS)

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Mistral AI

Ministral 8B

Model Ringan & Hemat Biaya

Ministral 8B dari Mistral AI adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 128K, kecepatan 110 token/detik, indeks kecerdasan 38/100, serta tari

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

Model Ringan & Hemat Biaya

Ministral 3B dari Mistral AI adalah model AI yang dirancang untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, menghadirkan jendela konteks 128K, kecepatan 180 token/detik, indeks kecerdasan 33/100, serta tari

Intelligence Index33 / 100
Input Token:

$0.04 / 1M

Output Token:

$0.04 / 1M

Context Window:

128K tokens

SWE-bench Verified:

22.1%

Perbedaan Utama Sekilas

  • 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 →
FeatureMinistral 8BMinistral 3B
Intelligence Index
Composite reasoning & knowledge score (0-100)
3833
Provider
Mistral AIMistral 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 text128K tokens~192 A4 pages of text
Max Output Tokens
Per single request
8K8K
Throughput Speed
Tokens generated per second
110 tok/s180 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

Siapa Unggul di Mana?

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

Skor Benchmark Terverifikasi

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

Latensi & Waktu Respons

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

Simulator Biaya Token Interaktif

Adjust sliders to calculate projected monthly cloud API spending with prompt caching discounts.

100K / day
10K500K1M
30K / day
5K150K300K
50% 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

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 32.5% · GPQA Diamond 41.5%)
  • Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 330 ms
  • Skema harga API kompetitif (tarif $0.1/$0.1 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Ministral 3B · Strengths & Key Advantages

  • Jendela konteks 128K dengan kapasitas output maksimum hingga 8K token (SWE-bench Verified 22.1% · GPQA Diamond 32.5%)
  • Kecepatan generasi tinggi 180 token/detik dengan latensi token pertama (TTFT) hanya 210 ms
  • Skema harga API kompetitif (tarif $0.04/$0.04 per 1M token) dengan dukungan cache prompt dan output JSON terstruktur
Considerations & Trade-offs
  • Model cloud proprietari tertutup; bobot model tidak dapat diunduh untuk penggunaan lokal offline
  • Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Token Use & Task Economics

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

MetricMinistral 8BMinistral 3B
Cost per Task
Estimated USD to finish one task
$0.08$0.03
Output Tokens / Task
Tokens generated per task
21K15K
Reasoning Tokens / Task
Thinking tokens burned per task
0K0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

FeatureMinistral 8BMinistral 3B
Official API Model ID (SDK)ministral-8b-latestministral-3b-latest
API ProtocolMistral AI REST API (OpenAI-Compatible)Mistral AI REST API (OpenAI-Compatible)
Release Date2024-102024-10
Knowledge CutoffOctober 2024October 2024
ArchitectureCompact Dense Transformer with Interleaved Sliding WindowUltra-Compact Dense Transformer
Parameters8B3B
Enterprise Rate Limits (RPM / TPM)5,000 – 15,000 RPM (Production Tier) · 800,000 – 2,000,000 TPM5,000 – 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 windowFlat rate ($0.04/1M in) across full 128K window
Prompt Cache Policy & TTLCached input at $0.05/1M tokensCached input at $0.02/1M tokens
Computer Use / GUI AgentAPI / 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 CallingNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON SchemaNative MCP Client/Server ready · Parallel function calling · 100% Strict JSON Schema
Web Search Grounding & SandboxSupported via external Tavily/Exa Search & E2B/Docker Sandbox toolsSupported via external Tavily/Exa Search & E2B/Docker Sandbox tools
Official Fine-Tuning SupportAPI Prompt Engineering & RAG DistillationAPI Prompt Engineering & RAG Distillation
Multimodal Token BillingText BPE (~4 chars/token)Text BPE (~4 chars/token)
Quantization & Min GPU VRAMCloud-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 ClassificationMistral AI Production Safety & Alignment VerifiedMistral AI Production Safety & Alignment Verified
Enterprise Compliance (ZDR/HIPAA/SOC2)SOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise TierSOC2 Type II · GDPR · Zero Data Retention (ZDR) & HIPAA BAA Available on Enterprise Tier
Input Modalitiestexttext
Output Modalitiestexttext

Ministral 8B vs Ministral 3B: Jawaban Cepat (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.

Kesimpulan

Baik Ministral 8B (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Ministral 3B (Sangat cocok untuk efisiensi biaya API maksimal per token dan throughput produksi yang ringan, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Ministral 8B unggul dalam penalaran dan pemrograman, Ministral 3B memberikan kecepatan generasi token lebih tinggi, dan Ministral 3B lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Ministral 8B atau Ministral 3B?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Ministral 8B memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Ministral 8B vs Ministral 3B?+

Ministral 8B mengenakan biaya $0.10 / $0.10 per 1M token input/output, sedangkan Ministral 3B sebesar $0.04 / $0.04. Secara keseluruhan, Ministral 3B lebih hemat biaya.

Model mana yang memiliki jendela konteks lebih besar dan kecepatan lebih tinggi?+

Ministral 8B mendukung konteks 128K token dibandingkan 128K token pada Ministral 3B, sementara Ministral 3B unggul dalam kecepatan output token per detik.

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 & PricingContext WindowAI BenchmarksReasoning ModelsTool CallingModel Context Protocol (MCP)

Related reading

Benchmark scores, token prices, and rate limits evolve rapidly as AI labs release model updates. Always verify current specifications and pricing on the official provider documentation.

Sumber resmi: Dokumentasi API resmi Mistral AI & Mistral AI serta evaluasi benchmark independen (2026).