Head-to-Head Model Comparison

Llama 3 (8B) vs Llama 3 (70B)

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Ditinjau oleh tim riset GetInfoUsPeninjauan terakhir: October 2026Kebijakan editorial

Ganti & Bandingkan Model Apa Saja

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

Llama 3 (8B)Profile

Llama 3 (70B)Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

Llama 3 (8B)

Inferensi Super Cepat

Llama 3 (8B) dari Meta adalah model AI yang dirancang untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, menghadirkan jendela konteks 8K, kecepatan 210 token/detik, indeks kecerdasan 34/100, serta tarif $0.

Intelligence Index34 / 100

Input Token:

$0.05 / 1M

Output Token:

$0.10 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

12%

Llama 3 (70B)

Model Dasar Bobot Terbuka

Llama 3 (70B) dari Meta adalah model AI yang dirancang untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, menghadirkan jendela konteks 8K, kecepatan 110 token/detik, indeks kecerdasan 42/100, serta tarif $0.35/$0.

Intelligence Index42 / 100

Input Token:

$0.35 / 1M

Output Token:

$0.80 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

Perbedaan Utama Sekilas

Llama 3 (8B) is 7.5x cheaper for API usage (input + output tokens combined).
Llama 3 (8B) is faster at 210 tok/s vs 110 tok/s.
Llama 3 (70B) leads on SWE-bench coding (24.0% vs 12.0%).

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

Feature	Llama 3 (8B)	Llama 3 (70B)
Intelligence Index Composite reasoning & knowledge score (0-100)	34	42
Provider	Meta	Meta
Input Price Cost per million input tokens	$0.05 / 1M	$0.35 / 1M
Output Price Cost per million output tokens	$0.10 / 1M	$0.80 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.03 / 1M	$0.21 / 1M
Context Window Maximum input + output tokens	8.2K tokens~12 A4 pages of text	8.2K tokens~12 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	210 tok/s	110 tok/s
SWE-bench Verified Real-world software engineering	12%	24%
GPQA Diamond Graduate-level reasoning	34.2%	46%
Cached Input Price Prompt caching discount per 1M tokens	$0.01 / 1M	$0.09 / 1M

Siapa Unggul di Mana?

At-a-glance decision framework

Coding

Llama 3 (70B)

+12.0% SWE-bench lead

Cost

Llama 3 (8B)

7.5x cheaper monthly runtime

Speed

Llama 3 (8B)

+91% faster generation

Context

Tied

8.2K tokens window

Skor Benchmark Terverifikasi

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

Llama 3 (8B)Llama 3 (70B)

SWE-bench Verified (Autonomous Coding)

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

12%vs24%

GPQA Diamond (Doctorate-Level Science & Math)

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

34.2%vs46%

MMLU-Pro (Multi-task Language Understanding)

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

62.5%vs72%

LMSYS Chatbot Arena Elo

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

1150ptsvs1245pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

210 tok/s vs110 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

Llama 3 (8B)0.22s

Llama 3 (70B)0.42s

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

Llama 3 (8B)2.60s

Llama 3 (70B)4.97s

Simulator Biaya Token Interaktif

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)

Llama 3 (8B) Monthly API Bill

$0.18 / month

$0.05/1M in · $0.1/1M out

Llama 3 (70B) Monthly API Bill

$1.38 / month

$0.35/1M in · $0.8/1M out

Llama 3 (8B) saves approximately $1.19 / month (87%) under this workload.7.5x Savings

Llama 3 (8B) · Strengths & Key Advantages

Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 12% · GPQA Diamond 34.2%)
Kecepatan generasi tinggi 210 token/detik dengan latensi token pertama (TTFT) hanya 220 ms
Bobot terbuka (8B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
Pada tugas pembuktian ilmiah tingkat ekstrem, model penalaran berat kelas atas memberikan kedalaman lebih tinggi

Llama 3 (70B) · Strengths & Key Advantages

Jendela konteks 8K dengan kapasitas output maksimum hingga 4K token (SWE-bench Verified 24% · GPQA Diamond 46%)
Kecepatan generasi tinggi 110 token/detik dengan latensi token pertama (TTFT) hanya 420 ms
Bobot terbuka (70B) yang siap di-hosting mandiri di GPU lokal atau cloud privat melalui vLLM dan Ollama

Considerations & Trade-offs

Membutuhkan infrastruktur GPU dengan kapasitas VRAM yang memadai untuk eksekusi lokal presisi penuh
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.

Metric	Llama 3 (8B)	Llama 3 (70B)
Cost per Task Estimated USD to finish one task	$0.20	$0.20
Output Tokens / Task Tokens generated per task	24K	24K
Reasoning Tokens / Task Thinking tokens burned per task	0K	0K

Spesifikasi Teknis

Architecture, release timeline, capabilities, and modalities.

Feature	Llama 3 (8B)	Llama 3 (70B)
Official API Model ID (SDK)	meta-llama/Llama-3-(8B)	meta-llama/Llama-3-(70B)
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2024-04	2024-04
Knowledge Cutoff	March 2024	March 2024
Architecture	Dense GQA Transformer with 128K Tokenizer	GQA High-Capacity Transformer
Parameters	8B	70B
Enterprise Rate Limits (RPM / TPM)	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud	Unlimited (Hardware-bound on self-hosted GPU) / 10,000 RPM Cloud · Unlimited local throughput / 10M+ TPM Managed Cloud
Long-Context Tier (>128K/200K)	Flat rate ($0.05/1M in) across full 8K window	Flat rate ($0.35/1M in) across full 8K window
Prompt Cache Policy & TTL	Cached input at $0.0125/1M tokens	Cached input at $0.0875/1M 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	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)	Full Weights SFT, LoRA, QLoRA, DPO & GRPO RL (Unsloth / Axolotl / Llama-Factory)
Multimodal Token Billing	Text BPE (~4 chars/token)	Text BPE (~4 chars/token)
Quantization & Min GPU VRAM	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 5 GB VRAM (4-bit Quantized) · 17 GB VRAM (Native BF16)	BF16 / FP16, FP8 Dynamic, INT4 AWQ / GPTQ, GGUF (Q4_K_M / Q8_0) · 43 GB VRAM (4-bit Quantized) · 151 GB VRAM (Native BF16)
Safety & Frontier Classification	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)	Open-Weights System Card + Customizable Guardrail Layer (Llama Guard / ShieldGemma)
Enterprise Compliance (ZDR/HIPAA/SOC2)	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control	100% Air-Gapped On-Premises / Private VPC · Full HIPAA, GDPR & SOC2 Control
Input Modalities	text	text
Output Modalities	text	text

Llama 3 (8B) vs Llama 3 (70B): Jawaban Cepat (FAQ)

Which is more intelligent, Llama 3 (8B) or Llama 3 (70B)?

Llama 3 (70B) is more intelligent. It scores 42 compared with 34 on the composite Intelligence Index.

Which model is faster?

Llama 3 (8B) is faster, generating 210 tokens per second compared with 110 tokens per second.

Which model is cheaper to run?

Llama 3 (8B) is cheaper at $0.03 per 1M tokens blended, compared with $0.21 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Llama 3 (8B) has lower latency, with a time to first token of 0.22s compared with 0.42s.

Kesimpulan

Baik Llama 3 (8B) (Sangat cocok untuk interaksi real-time dengan latensi sangat rendah dan routing bervolume tinggi, sistem RAG perusahaan, dan integrasi API skala produksi.) maupun Llama 3 (70B) (Sangat cocok untuk self-hosting di server pribadi, fine-tuning, dan kedaulatan data penuh, sistem RAG perusahaan, dan integrasi API skala produksi.) sangat tangguh: Llama 3 (70B) unggul dalam penalaran dan pemrograman, Llama 3 (8B) memberikan kecepatan generasi token lebih tinggi, dan Llama 3 (8B) lebih hemat biaya untuk penggunaan API skala besar.

Pertanyaan Umum (FAQ)

Mana yang lebih baik untuk coding dan penalaran, Llama 3 (8B) atau Llama 3 (70B)?+

Dalam indeks kecerdasan gabungan dan benchmark coding, Llama 3 (70B) memimpin. Lihat skor SWE-bench dan GPQA di atas untuk detailnya.

Berapa perbandingan harga API Llama 3 (8B) vs Llama 3 (70B)?+

Llama 3 (8B) mengenakan biaya $0.05 / $0.10 per 1M token input/output, sedangkan Llama 3 (70B) sebesar $0.35 / $0.80. Secara keseluruhan, Llama 3 (8B) lebih hemat biaya.

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

Llama 3 (8B) mendukung konteks 8.2K token dibandingkan 8.2K token pada Llama 3 (70B), sementara Llama 3 (8B) 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 & Pricing Context Window AI Benchmarks Reasoning Models Tool Calling Model Context Protocol (MCP)

Llama 3 (8B) vs Llama 3 (70B)

Ganti & Bandingkan Model Apa Saja

Llama 3 (8B)

Llama 3 (70B)

Siapa Unggul di Mana?

Skor Benchmark Terverifikasi

Latensi & Waktu Respons

Simulator Biaya Token Interaktif

Llama 3 (8B) · Strengths & Key Advantages

Considerations & Trade-offs

Llama 3 (70B) · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Spesifikasi Teknis

Llama 3 (8B) vs Llama 3 (70B): Jawaban Cepat (FAQ)

Kesimpulan

Pertanyaan Umum (FAQ)

Related reading