Gemini 3.1 Pro vs GPT-6 Sol
At a Glance
| Compare |  Gemini 3.1 ProGoogle DeepMind |  GPT-6 SolOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v4.4 | #9 of 5782.1 score · 3/3 sources · complete | UnrankedNot in the 57-model eligible cohort |
| CostLower is better · Published-token output estimate | #18 of 27$0.161 per LiveBench case | UnrankedNot in the 27-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.9 | #8 of 2754.6 score · 3/3 sources · complete | UnrankedNot in the 27-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $2.00Google AI ↗ · Aug 29, 2026 | $2.00Openai ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $12.00Google AI ↗ · Aug 29, 2026 | $10.00Openai ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,050K |
| Model facts checked | Aug 29, 2026View model evidence → | Sep 22, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| ARC-AGI-1verified-v1-613c385b0c93 · verified_score · leader | 98.00100% of row best · percent · Gemini 3.1 Pro (Preview) | 95.5097% of row best · percent · GPT-6 Sol (Max) |
| ARC-AGI-2verified-v2-be40992860f9 · verified_score · leader | 77.0886% of row best · percent · Gemini 3.1 Pro (Preview) | 89.58100% of row best · percent · GPT-6 Sol (Max) |
| LMArena Search Arenasearch-2026-10-13-a64ca3b12b6e · arena_rating · leader | 1,208.81100% of row best · rating · gemini-3.1-pro-grounding; 95% CI [1204.12797055, 1213.48336905]; votes 151436; rank 15 | 1,174.9197% of row best · rating · gpt-6-sol-max; 95% CI [1167.83636087, 1181.98711987]; votes 11313; rank 26 |
| LiveBench2026-06-25-90f8d44da965 · overall · leader | 81.6697% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case | 83.83100% of row best · percent · gpt-6-sol-max · 17,131 output tokens / case |
| ToneBench2026-10-17-10-task-e9c76358afb2 · overall_score · unverified | 70.9985% of row best · points · Gemini 3.1 Pro (high thinking) · 10,029 output tokens / case | 83.52100% of row best · points · GPT-6 Sol (max) · 10,008 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsNo overall winner | 2 benchmark winsNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | Gemini 3.1 Pro | GPT-6 Sol |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemini 3 | Gpt 6 |
| Model | Gemini 3.1 Pro | GPT-6 Sol |
| Version | Gemini 3.1 Pro | GPT-6 Sol |
| Lifecycle | preview | active |
| Released | Unknown | 2026-09-22 |
| Knowledge cutoff | Unknown | 2026-04-20 |
| Input modalities | Text, Image, Video, Audio, Document | Text, Image |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,050K |
| Total parameters | Unknown | Unknown |
| Active parameters | Unknown | Unknown |
| License | Unknown | Unknown |
| Open weights | No | No |
| API available | Yes | Yes |
| Self-hostable | No | No |
| Provider access | Google AI (Standard), Google Gemini (Standard) | Openai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning, tools | chat, computer-use, generation, reasoning, tools |
| Default snapshot | Unknown | gpt-6-sol |
| Maximum input tokens | Unknown | 922000 |
| Reasoning effort | Unknown | none, low, medium, high, xhigh, max |
| Supported API routes | Unknown | v1/responses, v1/chat/completions, v1/batch |
Gemini 3.1 Pro Capabilities
GPT-6 Sol Capabilities
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs GPT-6 Sol FAQs
Is Gemini 3.1 Pro or GPT-6 Sol better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and GPT-6 Sol, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, Gemini 3.1 Pro or GPT-6 Sol?+
Gemini 3.1 Pro is $2.00 and GPT-6 Sol is $2.00 per million tokens, so they are tied on this metric. Gemini 3.1 Pro is $12.00 and GPT-6 Sol is $10.00 per million tokens, so GPT-6 Sol is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or GPT-6 Sol?+
GPT-6 Sol has the larger sourced context window. Gemini 3.1 Pro supports 1,048,576 tokens and GPT-6 Sol supports 1,050,000 tokens.
Which performs better in benchmarks, Gemini 3.1 Pro or GPT-6 Sol?+
There is no overall benchmark winner: The verified common benchmarks do not produce a majority winner.
Can Gemini 3.1 Pro or GPT-6 Sol be self-hosted?+
Both models have the same sourced self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; GPT-6 Sol is not marked open weight.
Can Gemini 3.1 Pro and GPT-6 Sol understand images?+
Gemini 3.1 Pro is documented with image input; GPT-6 Sol is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, Gemini 3.1 Pro or GPT-6 Sol?+
GPT-6 Sol has the larger sourced maximum output. Gemini 3.1 Pro supports 65,536 tokens and GPT-6 Sol supports 128,000 tokens.
Do Gemini 3.1 Pro and GPT-6 Sol support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. GPT-6 Sol: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, Gemini 3.1 Pro or GPT-6 Sol?+
Gemini 3.1 Pro has 2 sourced provider routes; GPT-6 Sol has 2, a tie.
Which offers better value, Gemini 3.1 Pro or GPT-6 Sol?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.