Llama 3.3 Instruct 70B
AI model by Meta. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Llama 3.3 Instruct 70B is a budget-tier option from Meta at $0.72/M output tokens. Despite the low price, it scores competitively on Coding Index (11.9) and Intelligence Index (9.3) — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Llama 3.3 Instruct 70B reports 84 tok/s output speed and 1610ms time-to-first-token. Output speed is on the slower end; for real-time chat consider pairing with a streaming front-end or routing latency-sensitive requests to a faster model.
Cost model. For a workload of 1M input tokens + 100K output tokens, Llama 3.3 Instruct 70B costs $0.73 per million input-equivalent requests. Multiply by your monthly request volume to project the bill, and compare against the speed/correctness profile above to decide if the trade-off is worth it for your workload.
Editorial summary generated from public pricing and benchmark data (Artificial Analysis API). All numbers are sourced — see the Artificial Analysis methodology for benchmark definitions. Last refreshed 2026-08-24.
Compare with similar models
| Model | Input | Output | Speed |
|---|---|---|---|
Llama 3.3 Instruct 70BCurrent | $0.66 | $0.72 | 84 tok/s |
| Hermes 3 - Llama-3.1 70B | $0.70 | $0.70 | 34 tok/s |
| Qwen3 VL 8B Instruct | $0.18 | $0.70 | 107 tok/s |
| Mixtral 8x7B Instruct | $0.45 | $0.70 | — |
| Celeris-1 | $0.20 | $0.70 | 1484 tok/s |
| Qwen3 8B (Non-reasoning) | $0.18 | $0.70 | 39 tok/s |