Head-to-Head Model Comparison

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

Benchmarks, API Token Pricing, Context Window & Speed Comparison

GetInfoUs araştırma ekibi tarafından incelendiSon inceleme: October 2026Yayın ilkeleri

Paylaş

İstediğiniz Modelleri Seçin ve Karşılaştırın

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Llama 3 (8B)Profile

Llama 3 (70B)Profile

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5-Model Matrix Workbench

Popular Matchups:

Llama 3 (8B)

Ultra Hızlı Düşük Gecikme

Meta tarafından geliştirilen Llama 3 (8B); ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme için tasarlanmış olup 8K bağlam penceresi, 210 token/sn hız, 34/100 zeka indeksi ve 1M token başına $0.05/$0.1 fiyatlandırm

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)

Açık Ağırlıklı Temel Model

Meta tarafından geliştirilen Llama 3 (70B); özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği için tasarlanmış olup 8K bağlam penceresi, 110 token/sn hız, 42/100 zeka indeksi ve 1M token başına $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%

Bir Bakışta Temel Farklar

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

Hangi Alanda Kim Kazanıyor?

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

Doğrulanmış Benchmark Puanları

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

Gecikme Süresi ve Yanıt Hızı

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

Gerçek Zamanlı Token Maliyet Simülatörü

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

8K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (SWE-bench Verified 12% · GPQA Diamond 34.2%)
Sadece 220 ms ilk token gecikmesi (TTFT) ile saniyede 210 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (8B)

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

Llama 3 (70B) · Strengths & Key Advantages

8K bağlam penceresi ve yanıt başına maksimum 4K çıktı tokenı kapasitesi (SWE-bench Verified 24% · GPQA Diamond 46%)
Sadece 420 ms ilk token gecikmesi (TTFT) ile saniyede 110 token yüksek üretim hızı
vLLM, SGLang veya Ollama üzerinden yerel GPU sunucularında barındırılabilen açık ağırlıklı mimari (70B)

Considerations & Trade-offs

Tam hassasiyette yerel GPU çıkarımı için yeterli VRAM kapasitesine sahip donanım altyapısı gerektirir
Çok karmaşık akademik ve bilimsel çıkarımlarda üst düzey ağır akıl yürütme modelleri daha derin sonuçlar verebilir

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

Teknik Özellikler

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): Hızlı Yanıtlar (SSS)

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.

Sonuç

Hem Llama 3 (8B) (ultra düşük gecikmeli gerçek zamanlı sohbet ve yüksek hacimli yönlendirme, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) hem de Llama 3 (70B) (özel sunucuda kendi kendine barındırma (self-hosting), ince ayar ve tam veri egemenliği, kurumsal RAG mimarileri ve ölçeklenebilir üretim API entegrasyonları için idealdir.) güçlü üretim seçenekleridir: Llama 3 (70B) karmaşık akıl yürütme ve kodlama testlerinde öne çıkarken, Llama 3 (8B) daha yüksek üretim hızı sağlar; Llama 3 (8B) ise yüksek hacimli API kullanımlarında daha ekonomiktir.

Sıkça Sorulan Sorular (SSS)

Kodlama ve akıl yürütme için Llama 3 (8B) mi yoksa Llama 3 (70B) mi daha iyi?+

Bileşik zeka endeksi ve yazılım testlerinde Llama 3 (70B) önde yer alıyor. Detaylı karşılaştırma için yukarıdaki SWE-bench ve GPQA tablolarına göz atabilirsiniz.

Llama 3 (8B) ve Llama 3 (70B) API fiyatları nasıl karşılaştırılır?+

Llama 3 (8B) 1M giriş/çıkış tokeni başına $0.05 / $0.10 ücretlendirilirken, Llama 3 (70B) $0.35 / $0.80 seviyesindedir. Karma maliyette Llama 3 (8B) daha avantajlıdır.

Hangi modelin bağlam penceresi daha geniş ve hızı daha yüksek?+

Llama 3 (8B) 8.2K token bağlam penceresi sunarken Llama 3 (70B) 8.2K token kapasiteye sahiptir. Saniyedeki token üretim hızında ise Llama 3 (8B) öndedir.

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)

İstediğiniz Modelleri Seçin ve Karşılaştırın

Llama 3 (8B)

Llama 3 (70B)

Hangi Alanda Kim Kazanıyor?

Doğrulanmış Benchmark Puanları

Gecikme Süresi ve Yanıt Hızı

Gerçek Zamanlı Token Maliyet Simülatörü

Llama 3 (8B) · Strengths & Key Advantages

Considerations & Trade-offs

Llama 3 (70B) · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Teknik Özellikler

Llama 3 (8B) vs Llama 3 (70B): Hızlı Yanıtlar (SSS)

Sonuç

Sıkça Sorulan Sorular (SSS)

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