Head-to-Head Model Comparison

Mistral 7B vs Llama 2 (70B)

Benchmarks, API Token Pricing, Context Window & Speed Comparison

Verificato dal team di ricerca di GetInfoUsUltima verifica: October 2026Politica editoriale

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Mistral 7BProfile

Llama 2 (70B)Profile

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Mistral AI

Mistral 7B

Inferenza Ultra-Rapida

Mistral 7B di Mistral AI 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 33K, velocità di 200 token/s, indice di intelligenza di 32/100 e tariffa

Intelligence Index32 / 100

Input Token:

$0.06 / 1M

Output Token:

$0.06 / 1M

Context Window:

32.8K 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

Mistral 7B is 8.8x cheaper for API usage (input + output tokens combined).
Mistral 7B has a larger context window (33K vs 4K tokens).
Mistral 7B is faster at 200 tok/s vs 55 tok/s.

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

Feature	Mistral 7B	Llama 2 (70B)
Intelligence Index Composite reasoning & knowledge score (0-100)	32	31
Provider	Mistral AI	Meta
Input Price Cost per million input tokens	$0.06 / 1M	$0.40 / 1M
Output Price Cost per million output tokens	$0.06 / 1M	$0.80 / 1M
Blended Price Weighted 7:2:1 cache:input:output per 1M	$0.03 / 1M	$0.23 / 1M
Context Window Maximum input + output tokens	32.8K tokens~49 A4 pages of text	4.1K tokens~6 A4 pages of text
Max Output Tokens Per single request	4K	4K
Throughput Speed Tokens generated per second	200 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	$0.01 / 1M	$0.10 / 1M

Chi vince in ogni categoria?

At-a-glance decision framework

Coding

Evaluations ongoing

Cost

Mistral 7B

8.8x cheaper monthly runtime

Speed

Mistral 7B

+264% faster generation

Context

Mistral 7B

32.8K tokens window

Punteggi Benchmark Verificati

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

Mistral 7BLlama 2 (70B)

MMLU-Pro (Multi-task Language Understanding)

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

56%vs56.8%

LMSYS Chatbot Arena Elo

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

1120ptsvs1105pts

Generation Speed (Throughput)

Tokens emitted per second during active generation streaming.

200 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

Mistral 7B0.24s

Llama 2 (70B)0.60s

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

Mistral 7B2.74s

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)

Mistral 7B Monthly API Bill

$0.17 / month

$0.06/1M in · $0.06/1M out

Llama 2 (70B) Monthly API Bill

$1.47 / month

$0.4/1M in · $0.8/1M out

Mistral 7B saves approximately $1.30 / month (89%) under this workload.8.8x Savings

Mistral 7B · Strengths & Key Advantages

Finestra di contesto da 33K con capacità massima di output fino a 4K token (MMLU-Pro 56% · Arena Elo 1120)
Throughput elevato di 200 token/secondo con latenza al primo token (TTFT) di soli 240 ms
Pesi aperti (7.3B) 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	Mistral 7B	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	Mistral 7B	Llama 2 (70B)
Official API Model ID (SDK)	mistral-7b-latest	meta-llama/Llama-2-(70B)
API Protocol	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI	OpenAI-Compatible REST / vLLM / SGLang / HuggingFace TGI
Release Date	2023-09	2023-07
Knowledge Cutoff	Mid 2023	September 2022
Architecture	Sliding Window Attention (SWA) Transformer	Grouped-Query Attention (GQA) Transformer
Parameters	7.3B	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)	Flat rate ($0.06/1M in) across full 33K window	Flat rate ($0.4/1M in) across full 4K window
Prompt Cache Policy & TTL	Cached input at $0.015/1M tokens	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) · 5 GB VRAM (4-bit Quantized) · 16 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

Mistral 7B vs Llama 2 (70B): Risposte Rapide (FAQ)

Which is more intelligent, Mistral 7B or Llama 2 (70B)?

Mistral 7B is more intelligent. It scores 32 compared with 31 on the composite Intelligence Index.

Which model is faster?

Mistral 7B is faster, generating 200 tokens per second compared with 55 tokens per second.

Which model is cheaper to run?

Mistral 7B is cheaper at $0.03 per 1M tokens blended, compared with $0.23 (7:2:1 cache:input:output ratio).

Which model has lower latency?

Mistral 7B has lower latency, with a time to first token of 0.24s compared with 0.60s.

Which model has a larger context window?

Mistral 7B has a larger context window, supporting 32.8K tokens compared with 4.1K tokens.

Verdetto

Sia Mistral 7B (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 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: Mistral 7B guida nei benchmark di ragionamento e programmazione, Mistral 7B garantisce una generazione più rapida e Mistral 7B offre il miglior rapporto qualità-prezzo per carichi API elevati.

Domande Frequenti (FAQ)

Quale modello è migliore per coding e ragionamento, Mistral 7B o Llama 2 (70B)?+

Nell’indice di intelligenza composito e nei benchmark di programmazione prevale Mistral 7B. Consulta i punteggi SWE-bench e GPQA qui sopra per tutti i dettagli.

Qual è la differenza di prezzo API tra Mistral 7B e Llama 2 (70B)?+

Mistral 7B costa $0.06 / $0.06 per milione di token di input/output, mentre Llama 2 (70B) costa $0.40 / $0.80. Nel costo combinato, Mistral 7B risulta più economico.

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

Mistral 7B supporta 32.8K token di contesto contro 4.1K token di Llama 2 (70B), mentre Mistral 7B 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)

Mistral 7B vs Llama 2 (70B)

Cambia e Confronta Qualsiasi Modello

Mistral 7B

Llama 2 (70B)

Chi vince in ogni categoria?

Punteggi Benchmark Verificati

Latenza e Tempo di Risposta

Simulatore Interattivo dei Costi Token

Mistral 7B · Strengths & Key Advantages

Considerations & Trade-offs

Llama 2 (70B) · Strengths & Key Advantages

Considerations & Trade-offs

Token Use & Task Economics

Specifiche Tecniche

Mistral 7B vs Llama 2 (70B): Risposte Rapide (FAQ)

Verdetto

Domande Frequenti (FAQ)

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