gpt-6-astra vs gemini-4-argon
gpt-6-astra vs gemini-4-argon: $10/$50 vs $2/$10 per 1M, the same workload priced on both; gemini-4-argon is 80% cheaper per request.
| gpt-6-astra | gemini-4-argon | |
|---|---|---|
| Provider · tier | openai · frontier | gemini · frontier |
| Input | $10 | $2 |
| Cached input | $1 | $0.1 |
| Cache write | $12.5 | none |
| Output | $50 | $10 |
| Long-context tier | > 272,000: $20 / $75 | none |
| Per request (2,000 in / 300 out) | $0.035 | $0.007 |
| Per month at 100k requests | $3,500 | $700 |
| …with the static prefix cached | $2,150 | $415 |
| Cheaper sibling (cascade) | gpt-6.1-sol | gemini-3.8-flash |
Through TokenZero
Point your SDK at the gateway and keep both keys; the cache formatter, response cache and advisory routing act on every request, and each one comes back with a signed receipt showing the list-price baseline, actual cost and the saving.
OPENAI_BASE_URL=https://tokenzero.sh/w/<key>/v1 ANTHROPIC_BASE_URL=https://tokenzero.sh/w/<key>
Questions
Which is cheaper, gpt-6-astra or gemini-4-argon?
At list prices (table 2026-10-26) gemini-4-argon is 80% cheaper per request on a 2,000-in / 300-out workload. Quality is a separate question: TokenZero's cascade only routes to a sibling it scores as sufficient and measures parity with shadow evaluation.
Where do these prices come from?
The providers' own pricing pages, re-verified on 2026-10-26; the gateway signs receipts with the same table.