Claude Haiku 4.5 vs Llama 3.3 70B Instruct
Direct comparison between anthropic and meta for chat models. Specs, prices, strengths, weaknesses — decide on facts.
At a glance
- · Cheaper: Llama 3.3 70B Instruct
- · Longer context window: Claude Haiku 4.5 at 200,000 tokens
- · Claude Haiku 4.5: Very cheap per million tokens — good for bulk workloads
- · Llama 3.3 70B Instruct: Open weights available — no vendor lock-in
Spec comparison
| Spec | Claude Haiku 4.5 | Llama 3.3 70B Instruct |
|---|---|---|
| Provider | anthropic | meta |
| Input per 1M tokens | $1.00 / 1M | $0.72 / 1M |
| Output per 1M tokens | $5.00 / 1M | $0.72 / 1M |
| Context window | 200,000 tok | 128,000 tok |
| Max output | 8,192 tok | 4,096 tok |
| Knowledge cutoff | 2025-07 | 2023-12 |
| Vision | ||
| Tool calling | ||
| Structured output |
Claude Haiku 4.5 — strengths
- +Very cheap per million tokens — good for bulk workloads
- +Low latency, comparable to Gemini 3 Flash
- +Vision-capable — rare in this price tier
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
Claude Haiku 4.5 — weaknesses
- −Weaker on multi-step reasoning than Sonnet
- −Only 8k output tokens — no full files in one response
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- −Knowledge cutoff December 2023 — outdated on recent facts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