Head-to-Head Model Comparison

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

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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Llama 3 (8B)Profile

Llama 3 (70B)Profile

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Popular Matchups:

Llama 3 (8B)

Inferenza Ultra-Rapida

Llama 3 (8B) di Meta è un modello di IA progettato per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, con finestra di contesto da 8K, velocità di 210 token/s, indice di intelligenza di 34/100 e tariffa di $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)

Modello Base a Pesi Aperti

Llama 3 (70B) di Meta è un modello di IA progettato per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, con finestra di contesto da 8K, velocità di 110 token/s, indice di intelligenza di 42/100 e tar

Intelligence Index42 / 100

Input Token:

$0.35 / 1M

Output Token:

$0.80 / 1M

Context Window:

8.2K tokens

SWE-bench Verified:

24%

Differenze Chiave a Colpo d’Occhio

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

Chi vince in ogni categoria?

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

Punteggi Benchmark Verificati

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

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

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

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)

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

Finestra di contesto da 8K con capacità massima di output fino a 4K token (SWE-bench Verified 12% · GPQA Diamond 34.2%)
Throughput elevato di 210 token/secondo con latenza al primo token (TTFT) di soli 220 ms
Pesi aperti (8B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
Nelle dimostrazioni scientifiche più estreme, i modelli di ragionamento pesante dedicati offrono maggiore profondità

Llama 3 (70B) · Strengths & Key Advantages

Finestra di contesto da 8K con capacità massima di output fino a 4K token (SWE-bench Verified 24% · GPQA Diamond 46%)
Throughput elevato di 110 token/secondo con latenza al primo token (TTFT) di soli 420 ms
Pesi aperti (70B) pronti per il self-hosting locale o su cloud privato tramite vLLM, SGLang o Ollama

Considerations & Trade-offs

Richiede server GPU dedicati con sufficiente memoria VRAM per l’esecuzione locale a piena precisione
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	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

Specifiche Tecniche

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): Risposte Rapide (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.

Verdetto

Sia Llama 3 (8B) (Ideale per le interazioni in tempo reale a bassissima latenza e il routing ad alto volume, sistemi RAG aziendali e integrazioni API scalabili.) sia Llama 3 (70B) (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) eccellono in produzione: Llama 3 (70B) guida nei benchmark di ragionamento e programmazione, Llama 3 (8B) garantisce una generazione più rapida e Llama 3 (8B) offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Llama 3 (8B) o Llama 3 (70B)?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Llama 3 (70B). Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Llama 3 (8B) e Llama 3 (70B)?+

Llama 3 (8B) costa $0.05 / $0.10 per milione di token di input/output, mentre Llama 3 (70B) costa $0.35 / $0.80. Nel costo combinato, Llama 3 (8B) risulta più economico.

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

Llama 3 (8B) supporta 8.2K token di contesto contro 8.2K token di Llama 3 (70B), mentre Llama 3 (8B) 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)

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

Cambia e Confronta Qualsiasi Modello

Llama 3 (8B)

Llama 3 (70B)

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Llama 3 (8B) · Strengths & Key Advantages

Considerations & Trade-offs

Llama 3 (70B) · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Llama 3 (8B) vs Llama 3 (70B): Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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