Gemini 4 Argon vs GPT-6.1 Sol: API Pricing Compared
Official prices, verified 2026-10-24. Every conclusion on this page is computed from the price data — if the prices change, the verdict changes.
| Gemini 4 Argon (Google) | GPT-6.1 Sol (OpenAI) | |
|---|---|---|
| Input / 1M | $2 | $2 |
| Output / 1M | $10 | $10 |
| Cached input / 1M | $0.1 | $0.1 |
| Batch tier | $1 / $5 | Not published |
| Context window | 1,048,576 | 1,050,000 |
| Price verified | 2026-10-24 | 2026-10-24 |
Monthly cost at three workloads
| Workload | Gemini 4 Argon | GPT-6.1 Sol |
|---|---|---|
| Chat assistant 2,000 input / 500 output tokens per call, 10,000 calls a month | $90.00 | $90.00 |
| Document processing 50,000 input / 2,000 output tokens per call, 1,000 calls a month | $120.00 | $120.00 |
| Agent loop with prompt caching 10,000 fresh input / 100,000 cached input / 2,000 output tokens per call, 500 calls a month | $25.00 | $25.00 |
The verdict, from the data
- Input is priced identically at $2 per 1M tokens.
- Output is priced identically at $10 per 1M tokens.
- At a blended workload of 1M input + 250K output tokens the two models cost exactly the same ($4.50) — the decision comes down to caching, batch and context, below.
- Only Gemini 4 Argon publishes a batch tier ($1 / $5), which halves its rates for latency-tolerant work.
Run your own numbers in the homepage calculator, or open the dedicated calculators for Gemini 4 Argon and GPT-6.1 Sol.