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GPT-6 Sol vs Gemini 3.1 Pro (Preview)
A straight cost comparison of GPT-6 Sol (OpenAI) and Gemini 3.1 Pro (Preview) (Google Gemini), per 1,000,000 tokens, verified October 2026.
Rate-by-rate comparison
| Metric | GPT-6 Sol | Gemini 3.1 Pro (Preview) | Winner |
|---|---|---|---|
| Input / 1M | $2 | $2 | Tie |
| Cached input / 1M | $0.20 | $0.20 | Tie |
| Cache write / 1M | $2.50 | — | Gemini 3.1 Pro (Preview) |
| Output / 1M | $10 | $12 | GPT-6 Sol |
| Context window | 1,050,000 | 1,000,000 | GPT-6 Sol |
| Batch API | Yes | Yes | Tie |
| Long-context tier | > 272,000 | > 200,000 | — |
For per-token metrics, the lower number wins. For context window and batch support, the higher or broader option wins. A dash means the provider does not publish that rate: a missing cache-write fee means writes are not billed per token, while a missing cached-input rate means cache hits bill at the full input rate.
Blended cost: 1M input + 250K output
| Model | Blended cost | Difference |
|---|---|---|
| GPT-6 Sol | $4.50 | Cheaper |
| Gemini 3.1 Pro (Preview) | $5 | +$0.50 |
Three workloads, two bills
| Workload | GPT-6 Sol | Gemini 3.1 Pro (Preview) | Winner |
|---|---|---|---|
| Support chat 1,000 requests · 4K input / 600 output | $14 | $15.20 | GPT-6 Sol |
| RAG with caching 1,000 requests · 50K input (45K cached) / 1K output | $29.10 | $31.08 | GPT-6 Sol |
| Nightly batch job 10,000 requests · 10K input / 2K output | $200 | $220 | GPT-6 Sol |
Which one should you pick?
GPT-6 Sol wins on support chat, cached RAG, nightly batch job, while Gemini 3.1 Pro (Preview) wins on none of the three workloads above.
Beyond price, the two differ on output rate ($10 vs $12); cache-write rate ($2.50 vs —); context window (1,050,000 vs 1,000,000).
Batch mode is available on GPT-6 Sol and Gemini 3.1 Pro (Preview), which halves the nightly job. Both publish cached-input discounts, so a stable system prompt is worth caching on either.
FAQ
Is GPT-6 Sol cheaper than Gemini 3.1 Pro (Preview)?
On a blended 1M-input-plus-250K-output workload, GPT-6 Sol is cheaper by 10% ($4.50 vs $5). The gap changes for cache-heavy prompts and for batch jobs, as the workload table shows.
Which handles longer prompts, GPT-6 Sol or Gemini 3.1 Pro (Preview)?
GPT-6 Sol has the larger context window (1,050,000 vs 1,000,000 tokens). Watch the long-context threshold on GPT-6 Sol and Gemini 3.1 Pro (Preview): rates rise once input passes it.
Do both models support prompt caching?
GPT-6 Sol bills cached reads at $0.20 per 1M; Gemini 3.1 Pro (Preview) at $0.20.