Head-to-Head Model Comparison

LLaMA-1 (65B) vs Llama 2 (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

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

LLaMA-1 (65B)Profile

Llama 2 (70B)Profile

Multi-Model Arena Stack:

5-Model Matrix Workbench

Popular Matchups:

LLaMA-1 (65B)

Modello Base a Pesi Aperti

LLaMA-1 (65B) 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 2K, velocità di 45 token/s, indice di intelligenza di 25/100 e tari

Intelligence Index25 / 100

Input Token:

$0.00 / 1M

Output Token:

$0.00 / 1M

Context Window:

2K tokens

SWE-bench Verified:

N/A

Llama 2 (70B)

Modello Base a Pesi Aperti

Llama 2 (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 4K, velocità di 55 token/s, indice di intelligenza di 31/100 e tari

Intelligence Index31 / 100

Input Token:

$0.40 / 1M

Output Token:

$0.80 / 1M

Context Window:

4.1K tokens

SWE-bench Verified:

N/A

Differenze Chiave a Colpo d’Occhio

LLaMA-1 (65B) is 1.0x cheaper for API usage (input + output tokens combined).
Llama 2 (70B) has a larger context window (4K vs 2K tokens).
Llama 2 (70B) is faster at 55 tok/s vs 45 tok/s.

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

Feature	LLaMA-1 (65B)	Llama 2 (70B)
Intelligence Index Composite reasoning & knowledge score (0-100)	25	31
Provider	Meta	Meta
Input Price Cost per million input tokens	$0.00 / 1M	$0.40 / 1M
Output Price Cost per million output tokens	$0.00 / 1M	$0.80 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.00 / 1M	$0.23 / 1M
Context Window Maximum input + output tokens	2K tokens~3 A4 pages of text	4.1K tokens~6 A4 pages of text
Max Output Tokens Per single request	2K	4K
Throughput Speed Tokens generated per second	45 tok/s	55 tok/s
SWE-bench Verified Real-world software engineering	N/A	N/A
Cached Input Price Prompt caching discount per 1M tokens	$0.00 / 1M	$0.10 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

LLaMA-1 (65B)

1.0x cheaper monthly runtime

Speed

Llama 2 (70B)

+22% faster generation

Context

Llama 2 (70B)

4.1K tokens window

Punteggi Benchmark Verificati

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

LLaMA-1 (65B)Llama 2 (70B)

MMLU-Pro (Multi-task Language Understanding)

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

48%vs56.8%

LMSYS Chatbot Arena Elo

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

1020ptsvs1105pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

45 tok/s vs55 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-1 (65B)0.75s

Llama 2 (70B)0.60s

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

LLaMA-1 (65B)11.86s

Llama 2 (70B)9.69s

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-1 (65B) Monthly API Bill

$0.00 / month

$0/1M in · $0/1M out

Llama 2 (70B) Monthly API Bill

$1.47 / month

$0.4/1M in · $0.8/1M out

LLaMA-1 (65B) saves approximately $1.47 / month (100%) under this workload.1.0x Savings

LLaMA-1 (65B) · Strengths & Key Advantages

Finestra di contesto da 2K con capacità massima di output fino a 2K token (MMLU-Pro 48% · Arena Elo 1020)
Throughput elevato di 45 token/secondo con latenza al primo token (TTFT) di soli 750 ms
Pesi aperti (65B (also 7B, 13B, 33B)) 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 2 (70B) · Strengths & Key Advantages

Finestra di contesto da 4K con capacità massima di output fino a 4K token (MMLU-Pro 56.8% · Arena Elo 1105)
Throughput elevato di 55 token/secondo con latenza al primo token (TTFT) di soli 600 ms
Pesi aperti (70B (also 7B, 13B)) 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-1 (65B)	Llama 2 (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-1 (65B)	Llama 2 (70B)
Official API Model ID (SDK)	meta-llama/LLaMA-1-(65B)	meta-llama/Llama-2-(70B)
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2023-02	2023-07
Knowledge Cutoff	2022	September 2022
Architecture	Decoder-Only Transformer with RoPE & SwiGLU	Grouped-Query Attention (GQA) Transformer
Parameters	65B (also 7B, 13B, 33B)	70B (also 7B, 13B)
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)	Free across full context window (only KV-cache VRAM scales)	Flat rate ($0.4/1M in) across full 4K window
Prompt Cache Policy & TTL	Automatic prefix KV-caching in vLLM / SGLang (0 cost)	Cached input at $0.1/1M tokens
Computer Use / GUI Agent	Text-only completion (No GUI action loop)	Text-only completion (No GUI action loop)
MCP & Parallel Tool Calling	Prompt-based JSON extraction only	Prompt-based JSON extraction only
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) · 40 GB VRAM (4-bit Quantized) · 140 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-1 (65B) vs Llama 2 (70B): Risposte Rapide (FAQ)

Which is more intelligent, LLaMA-1 (65B) or Llama 2 (70B)?

Llama 2 (70B) is more intelligent. It scores 31 compared with 25 on the composite Intelligence Index.

Which model is faster?

Llama 2 (70B) is faster, generating 55 tokens per second compared with 45 tokens per second.

Which model is cheaper to run?

LLaMA-1 (65B) is cheaper at $0.00 per 1M tokens blended, compared with $0.23 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Llama 2 (70B) has lower latency, with a time to first token of 0.60s compared with 0.75s.

Which model has a larger context window?

Llama 2 (70B) has a larger context window, supporting 4.1K tokens compared with 2K tokens.

Verdetto

Sia LLaMA-1 (65B) (Ideale per il self-hosting su infrastruttura privata, il fine-tuning e la piena sovranità dei dati, sistemi RAG aziendali e integrazioni API scalabili.) sia Llama 2 (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 2 (70B) guida nei benchmark di ragionamento e programmazione, Llama 2 (70B) garantisce una generazione più rapida e LLaMA-1 (65B) offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, LLaMA-1 (65B) o Llama 2 (70B)?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Llama 2 (70B). Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra LLaMA-1 (65B) e Llama 2 (70B)?+

LLaMA-1 (65B) costa $0.00 / $0.00 per milione di token di input/output, mentre Llama 2 (70B) costa $0.40 / $0.80. Nel costo combinato, LLaMA-1 (65B) risulta più economico.

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

LLaMA-1 (65B) supporta 2K token di contesto contro 4.1K token di Llama 2 (70B), mentre Llama 2 (70B) 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-1 (65B) vs Llama 2 (70B)

Cambia e Confronta Qualsiasi Modello

LLaMA-1 (65B)

Llama 2 (70B)

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

LLaMA-1 (65B) · Strengths & Key Advantages

Considerations & Trade-offs

Llama 2 (70B) · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

LLaMA-1 (65B) vs Llama 2 (70B): Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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