llama-3.1-8b-instant vs llama-3.1-8b-instruct
llama-3.1-8b-instant is 4.0× cheaper on input than llama-3.1-8b-instruct.
| llama-3.1-8b-instant | llama-3.1-8b-instruct | |
|---|---|---|
| Input / 1M | $0.05 | $0.20 |
| Cached input / 1M | — | — |
| Output / 1M | $0.08 | $0.20 |
| Context window | 128K | 131K |
| Max output | 8K | 131K |
| Provider | Groq | Perplexity |
| Vision | No | No |
| Tool calling | Yes | No |
| Token count | estimated | estimated |
Capability for the money
Independent measurement · Artificial Analysis · read 2026-08-11llama-3.1-8b-instruct costs 3.5× more than llama-3.1-8b-instant without measurably beating it on any benchmark they share — on that evidence the extra spend buys nothing you can point at.
Following instructions
extraction, classification, sticking to a format
IFBenchlevel
Coding
writing and fixing code
LiveCodeBenchlevel
Tool use
multi-step agent work against real tools
τ²-benchlevel
Hard reasoning
graduate-level science and multi-step analysis
GPQA Diamondlevel
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 103.1 — 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-3.1-8b-instruct
- Better at following instructions: llama-3.1-8b-instant (28.6% vs 28.6% on IFBench)
- Better at coding: llama-3.1-8b-instant (11.6% vs 11.6% on LiveCodeBench)
- Better at tool use: llama-3.1-8b-instant (16.4% vs 16.4% on τ²-bench)
- Better at hard reasoning: llama-3.1-8b-instant (25.9% 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-3.1-8b-instant detail · llama-3.1-8b-instruct detail · All Groq pricing · All comparisons