Llama 3.1 Instruct 70B
AI model by Meta. Real-time pricing and benchmark data.
Benchmarks
Editorial Analysis
Profile. Llama 3.1 Instruct 70B is a budget-tier option from Meta at $0.56/M output tokens. Despite the low price, it scores competitively on measurable benchmarks — making it a candidate for high-volume production workloads where unit cost dominates.
Latency. On latency, Llama 3.1 Instruct 70B reports 55 tok/s output speed and 1270ms 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 3.1 Instruct 70B costs $0.62 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 3.1 Instruct 70BCurrent | $0.56 | $0.56 | 55 tok/s |
| Ring-flash-2.0 | $0.14 | $0.57 | — |
| Seed-OSS-36B-Instruct | $0.21 | $0.57 | 29 tok/s |
| Ling-flash-2.0 | $0.14 | $0.57 | 89 tok/s |
| Hy3 | $0.14 | $0.55 | 67 tok/s |
| gpt-oss-120b (low) | $0.15 | $0.59 | 160 tok/s |