Gemini 3.1 Pro vs GPT-6 Sol — Price, Context, and Capability Compared
Gemini 3.1 Pro vs GPT-6 Sol: which should I use?
Gemini 3.1 Pro and GPT-6 Sol are priced within a few percent of each other. Gemini 3.1 Pro has the larger context window (2,000,000 tokens). Default to GPT-6 Sol unless you specifically need Gemini 3.1 Pro's edge.
Where can you find price, speed, and task evidence for Gemini 3.1 Pro and GPT-6 Sol?
Which tasks fit Gemini 3.1 Pro and GPT-6 Sol?
Best-fit task signals from the published model strengths; this is not a substitute for a controlled benchmark.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Best fit | Whole-codebase, whole-document, or long-video analysis in a single request. | Complex, multi-step professional and coding work where accuracy matters more than cost. |
| Reasoning mode | Available | Available |
What does a Coding Agent workload cost with Gemini 3.1 Pro and GPT-6 Sol?
Modeled for Coding Agent: 20,000 input + 2,000 output tokens per task, 1 turn. This is a workload model, not a provider quote.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Coding Agent / task | $0.06 (modeled) | $0.06 (modeled) (winner) |
| Input / output rate | $2.00 / $12.00 per M | $2.00 / $10.00 per M |
How fast are Gemini 3.1 Pro and GPT-6 Sol?
Only non-estimated benchmark results are shown as measured.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Measured throughput | 55 tokens/s | Unavailable |
| Time to first token | 420 ms | Unavailable |
How compatible are Gemini 3.1 Pro and GPT-6 Sol with APIs?
Provider-level wire-format and SDK facts; model-specific parameter differences may still apply.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| OpenAI SDK | Not drop-in | Usable |
| Request shape | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. | Canonical /chat/completions and /responses shape — every OpenAI-compatible provider on this site imitates it. |
| Streaming | SSE (Gemini streamGenerateContent) | SSE (OpenAI delta) |
What are the privacy and retention policies for Gemini 3.1 Pro and GPT-6 Sol?
Provider policy and residency facts from the verified provider registry. A missing retention policy is not treated as a guarantee.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Provider says API data trains models | No | No |
| Published retention period | Unavailable | Unavailable |
| Data residency | Global by default; Vertex AI offers selectable regional endpoints | US by default; EU data residency available on enterprise agreements |
How much effort does it take to migrate between Gemini 3.1 Pro and GPT-6 Sol?
Direction is from each displayed model to the other. Effort is derived from provider compatibility and published parameter maps.
| Fact | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Move Gemini 3.1 Pro → GPT-6 Sol | config; 2 breaking parameter differences | Target: GPT-6 Sol |
| Move GPT-6 Sol → Gemini 3.1 Pro | Source: GPT-6 Sol | code-change; 1 breaking parameter difference |
| Why | Keep the `openai` SDK; change `baseURL` and the API key. | contents/parts structure instead of messages; an OpenAI-compatible endpoint exists but only covers a subset of parameters. |
How do Gemini 3.1 Pro and GPT-6 Sol compare on specs?
| Gemini 3.1 Pro | GPT-6 Sol | |
|---|---|---|
| Price (input) | $2.00/M | $2.00/M |
| Price (output) | $12.00/M | $10.00/M ✓ |
| Blended price | $4.50/M | $4.00/M ✓ |
| Context window | 2,000,000 tokens ✓ | 1,050,000 tokens |
| Max output | 64,000 tokens | 128,000 tokens ✓ |
| Modalities | text, vision, audio | text, vision |
| Reasoning mode | Yes | Yes |
| Released | 2026-02 | 2026-09 |
| Speed | 55 t/s | Not measured |
How much do Gemini 3.1 Pro and GPT-6 Sol cost at scale?
| Tokens / month | Gemini 3.1 Pro | GPT-6 Sol | Delta |
|---|---|---|---|
| 1,000,000 | $4.50 | $4.00 | $0.50 (1.1×) |
| 10,000,000 | $45.00 | $40.00 | $5.00 (1.1×) |
| 100,000,000 | $450.00 | $400.00 | $50.00 (1.1×) |
Choose Gemini 3.1 Pro if…
- ✓Largest context window of any current model (2M tokens)
- ✓Native audio and video understanding
- ✓Google Search grounding
- ✓Whole-codebase, whole-document, or long-video analysis in a single request.
Choose GPT-6 Sol if…
- ✓Strongest OpenAI flagship for agentic, long-horizon coding
- ✓Deep reasoning mode for multi-step planning
- ✓Native vision input and 1M+ context
- ✓Complex, multi-step professional and coding work where accuracy matters more than cost.
Run this exact matchup right now
Send the same prompt to Gemini 3.1 Pro and GPT-6 Sol side by side and see the outputs yourself.
Try Gemini 3.1 Pro vs GPT-6 Sol FreeWhat are common questions about Gemini 3.1 Pro and GPT-6 Sol?
Is Gemini 3.1 Pro cheaper than GPT-6 Sol?
GPT-6 Sol is cheaper, at $4.00 per million blended tokens vs $4.50 for Gemini 3.1 Pro.
Which has the bigger context window, Gemini 3.1 Pro or GPT-6 Sol?
Gemini 3.1 Pro has the larger context window: 2,000,000 tokens vs 1,050,000.
Can Gemini 3.1 Pro replace GPT-6 Sol for coding?
Both are viable for coding. Largest context window of any current model (2M tokens) (Gemini 3.1 Pro) vs Strongest OpenAI flagship for agentic, long-horizon coding (GPT-6 Sol) — pick based on which strength matters more for your workload.
Neither of these? See Gemini 3.1 Pro alternatives or GPT-6 Sol alternatives.
What related comparisons help choose between Gemini 3.1 Pro and GPT-6 Sol?
Pricing verified 2026-04-06. Specs verified 2026-08-14.