Llama 3.3 70B Instruct vs Mistral Large 2
Direct comparison between meta and mistral for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Llama 3.3 70B Instruct
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
- · Mistral Large 2: EU-hosted — GDPR-friendly without US data export
Spec comparison
| Spec | Llama 3.3 70B Instruct | Mistral Large 2 |
|---|---|---|
| Provider | meta | mistral |
| Input per 1M tokens | $0.72 / 1M | $2.00 / 1M |
| Output per 1M tokens | $0.72 / 1M | $6.00 / 1M |
| Context window | 128,000 tok | 128,000 tok |
| Max output | 4,096 tok | 8,192 tok |
| Knowledge cutoff | 2023-12 | — |
| Tool calling | ||
| JSON mode | ||
| Structured output |
Llama 3.3 70B Instruct — strengths
- +Open weights available — no vendor lock-in
- +Very cheap per token, widely available across providers
- +Solid all-rounder for classification and simple generation
Mistral Large 2 — strengths
- +EU-hosted — GDPR-friendly without US data export
- +Strong on European languages (DE, FR, IT, ES)
- +Solid tool calling and JSON mode
Llama 3.3 70B Instruct — weaknesses
- −Knowledge cutoff December 2023 — outdated on recent facts
- −No native vision or audio input
- −Behind Claude Sonnet and GPT-5 across nearly all benchmarks
Mistral Large 2 — weaknesses
- −Code quality behind Sonnet 4.6 and GPT-5.4
- −No native vision