llama-3.1-70b-instruct vs llama-3.1-8b-instant
llama-3.1-8b-instant is 20.0× cheaper on input than llama-3.1-70b-instruct.
| llama-3.1-70b-instruct | llama-3.1-8b-instant | |
|---|---|---|
| Input / 1M | $1.00 | $0.05 |
| Cached input / 1M | — | — |
| Output / 1M | $1.00 | $0.08 |
| Context window | 131K | 128K |
| Max output | 131K | 8K |
| Provider | Perplexity | Groq |
| Vision | No | No |
| Tool calling | No | Yes |
| Token count | estimated | estimated |
Capability for the money
Independent measurement · Artificial Analysis · read 2026-08-11llama-3.1-70b-instruct is 17.4× dearer for 15.0 points on hard reasoning (GPQA Diamond) — worth it only if that is your bottleneck.
Following instructions
extraction, classification, sticking to a format
IFBenchllama-3.1-70b-instruct +5.8
Coding
writing and fixing code
LiveCodeBenchllama-3.1-70b-instruct +11.6
Tool use
multi-step agent work against real tools
τ²-benchllama-3.1-8b-instant +1.2
Hard reasoning
graduate-level science and multi-step analysis
GPQA Diamondllama-3.1-70b-instruct +15.0
Averaged over the benchmarks both models sat, llama-3.1-8b-instant returns 358.7 points of pass rate per dollar of blended price against 28.4 — the ratio that decides whether the dearer model earns its rate.
Each figure is a pass rate: the share of that test set the model answered correctly, measured by a third party rather than self-reported by the lab. Rows are different tests of different difficulty, so compare a model against the other model, not one row against the next. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.
Which to pick
- Cheaper input: llama-3.1-8b-instant
- Cheaper output: llama-3.1-8b-instant
- Larger context: llama-3.1-70b-instruct
- Better at following instructions: llama-3.1-70b-instruct (34.4% vs 28.6% on IFBench)
- Better at coding: llama-3.1-70b-instruct (23.2% vs 11.6% on LiveCodeBench)
- Better at tool use: llama-3.1-8b-instant (15.2% vs 16.4% on τ²-bench)
- Better at hard reasoning: llama-3.1-70b-instruct (40.9% vs 25.9% on GPQA Diamond)
List price is not production cost. Output length, cache hit rate, retries and task quality move the real number more than the headline rate does — price your own prompt on the token ledger before deciding.
Related comparisons
llama-3.1-70b-instruct detail · llama-3.1-8b-instant detail · All Perplexity pricing · All comparisons