Gemini 3 Flash vs Llama 3.3 70B Instruct
Direct comparison between google and meta for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Llama 3.3 70B Instruct
- · Longer context window: Gemini 3 Flash at 1,000,000 tokens
- · Gemini 3 Flash: 1M token context at mini-tier pricing
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | Gemini 3 Flash | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | meta | |
| Input per 1M tokens | $0.50 / 1M | $0.72 / 1M |
| Output per 1M tokens | $3.00 / 1M | $0.72 / 1M |
| Context window | 1,000,000 tok | 128,000 tok |
| Max output | 65,536 tok | 4,096 tok |
| Knowledge cutoff | 2025-11 | 2023-12 |
| Vision | ||
| Audio | ||
| Tool calling | ||
| JSON mode | ||
| Structured output |
Gemini 3 Flash — strengths
- +1M token context at mini-tier pricing
- +Very low latency, ideal for realtime
- +Multimodal: image, audio, and video input
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
Gemini 3 Flash — weaknesses
- −Code quality clearly below Sonnet 4.6 and GPT-5.4-mini
- −Complex reasoning chains fail sooner than on Pro
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- −Knowledge cutoff December 2023 — outdated on recent facts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