Perplexity vs Perplexity · synced 2026-08-11

llama-3.1-8b-instruct vs sonar-pro

llama-3.1-8b-instruct is 15.0× cheaper on input than sonar-pro.

llama-3.1-8b-instruct sonar-pro
Input / 1M $0.20 $3.00
Cached input / 1M
Output / 1M $0.20 $15.00
Context window 131K 200K
Max output 131K 8K
Provider Perplexity Perplexity
Vision No No
Tool calling No No
Token count estimated estimated

Capability for the money

Independent measurement · Artificial Analysis · read 2026-08-11

Not the same tier: sonar-pro leads llama-3.1-8b-instruct by 31.9 points on hard reasoning (GPQA Diamond), for 30.0× the price.

  1. Coding

    writing and fixing code

    LiveCodeBench
    llama-3.1-8b-instruct11.6%
    sonar-pro27.5%

    sonar-pro +15.9

  2. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    llama-3.1-8b-instruct25.9%
    sonar-pro57.8%

    sonar-pro +31.9

Averaged over the benchmarks both models sat, llama-3.1-8b-instruct returns 93.8 points of pass rate per dollar of blended price against 7.1 — 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. No published following instructions or tool use score for one of these models, so those lenses are omitted. And a benchmark is not your workload — it narrows the shortlist, it does not pick for you.

Which to pick

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.

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