Google vs OpenAI · synced 2026-08-11

gemini-3.6-flash vs gpt-5.6-sol

gemini-3.6-flash is 3.3× cheaper on input than gpt-5.6-sol.

gemini-3.6-flash gpt-5.6-sol
Input / 1M $1.50 $5.00
Cached input / 1M $0.15 $0.50
Output / 1M $7.50 $30.00
Context window 1M 1.1M
Max output 66K 128K
Provider Google OpenAI
Vision Yes Yes
Tool calling Yes Yes
Token count estimated exact

Capability for the money

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

gpt-5.6-sol costs 3.8× more than gemini-3.6-flash without measurably beating it on hard reasoning (GPQA Diamond), the only test both have sat — on that evidence the extra spend buys nothing you can point at.

  1. Hard reasoning

    graduate-level science and multi-step analysis

    GPQA Diamond
    gemini-3.6-flash92.8%
    gpt-5.6-sol94.1%

    gpt-5.6-sol +1.3

Averaged over the benchmarks both models sat, gemini-3.6-flash returns 30.9 points of pass rate per dollar of blended price against 8.4 — 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. No published following instructions, coding 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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