GPT-4o mini vs Llama 3.3 70B (Groq/Together): API Pricing, Context & Automation ROI
Switching from Llama 3.3 70B (Groq/Together) to GPT-4o mini cuts token costs by 46% on compatible workflows. Compare exact token pricing and speed below.
Side-by-Side Technical & Cost Comparison
| Metric | GPT-4o mini (OpenAI) | Llama 3.3 70B (Groq/Together) (Meta) |
|---|---|---|
| Input Cost (per 1M tokens) | $0.150 | $0.590 |
| Cached Input Cost (per 1M) | $0.075 | $0.590 |
| Output Cost (per 1M tokens) | $0.60 | $0.79 |
| Max Context Window | 128,000 tokens | 128,000 tokens |
| Throughput Speed | ~165 tokens/sec | ~280 tokens/sec |
| Monthly Cost (1,000 runs/day) | $22.05 / month | $58.47 / month |
| Best Automation Use Case | High-volume n8n/Make.com webhooks, email classification, data tagging, and RAG summarization at scale. | Sub-second AI phone callers (Synthflow/Vapi), live customer chat, and privacy-first open-weight deployments. |
When to Choose GPT-4o mini
High-volume n8n/Make.com webhooks, email classification, data tagging, and RAG summarization at scale.
- Ultra-low cost
- High throughput
- Replaces GPT-3.5 Turbo
- 99% reliability on simple JSON tasks
When to Choose Llama 3.3 70B (Groq/Together)
Sub-second AI phone callers (Synthflow/Vapi), live customer chat, and privacy-first open-weight deployments.
- 280+ tokens/sec on LPU hardware
- Low output token pricing
- Zero vendor lock-in
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