Gemini 3.1 Pro vs GPT-5.6 Sol
Market Position
LiveBench Quality Versus Estimated Output Cost
This current-market view appears only when both compared models are reviewed current models with publisher-reported LiveBench token accounting and current sourced USD output rates.
Benchmark Performance
Available Benchmarks
| Benchmark | Gemini 3.1 Pro | GPT-5.6 Sol |
|---|---|---|
| LMArena Agent Arenaagent-2026-08-31-011508720696 · outcome_score · leader | -3.1388% of row best · score · Gemini 3.1 Pro Preview; 95% CI [-4.00806078, -2.24630473]; sessions 83248; observations 2709356; rank 40 | 9.76100% of row best · score · GPT 5.6 Sol (xHigh); 95% CI [8.23209281, 11.28769899]; sessions 28524; observations 2917301; rank 4 |
| LMArena Document Arenadocument-2026-07-30-011508720696 · arena_rating · leader | 1,445.3298% of row best · rating · gemini-3.1-pro-preview; 95% CI [1439.35538449, 1451.29339146]; votes 45162; rank 23 | 1,478.68100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1461.94144922, 1495.42273628]; votes 1152; rank 11 |
| LMArena Search Arenasearch-2026-08-24-011508720696 · arena_rating · leader | 1,210.4696% of row best · rating · gemini-3.1-pro-grounding; 95% CI [1205.32063396, 1215.60669852]; votes 113282; rank 9 | 1,257.26100% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1249.79496224, 1264.72573796]; votes 29663; rank 1 |
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,480.10100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1476.89767236, 1483.30025658]; votes 102763; rank 11 | 1,454.6998% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1449.58093424, 1459.80348090]; votes 23153; rank 35 |
| LMArena Vision Arenavision-2026-08-27-011508720696 · arena_rating · leader | 1,295.39100% of row best · rating · gemini-3.1-pro-preview; 95% CI [1289.75236576, 1301.03738662]; votes 39412; rank 17 | 1,276.9099% of row best · rating · gpt-5.6-sol-xhigh; 95% CI [1267.71657009, 1286.08047215]; votes 5837; rank 30 |
| LiveBench2026-06-25 · overall · leader | 81.6696% of row best · percent · gemini-3.1-pro-preview-high · 13,380 output tokens / case | 85.26100% of row best · percent · gpt-5.6-sol-max · 11,729 output tokens / case |
| ToneBench2026-08-28-10-task-cd9819ab6e4d · overall_score · leader | 79.8991% of row best · points · Gemini 3.1 Pro (high thinking) · 10,009 output tokens / case | 87.35100% of row best · points · GPT-5.6 Sol (default) · 2,955 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark wins | 5 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | Gemini 3.1 Pro | GPT-5.6 Sol |
|---|---|---|
| Developer | Google DeepMind | OpenAI |
| Family | Gemini 3 | Gpt 5 6 |
| Model | Gemini 3.1 Pro | GPT-5.6 Sol |
| Version | Gemini 3.1 Pro | GPT-5.6 Sol |
| Lifecycle | preview | active |
| Released | Unknown | Unknown |
| Knowledge cutoff | Unknown | 2026-02-16 |
| 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, generation, reasoning, tools |
13 comparable fields · 8 material differences · Pair passes the primary-source comparison gate
Gemini 3.1 Pro Capabilities
GPT-5.6 Sol Capabilities
Internal Comparison Graph
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Primary Evidence
Sources and Freshness
Questions
Gemini 3.1 Pro vs GPT-5.6 Sol FAQs
Is Gemini 3.1 Pro or GPT-5.6 Sol better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both Gemini 3.1 Pro and GPT-5.6 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-5.6 Sol?+
Gemini 3.1 Pro is $2.00 and GPT-5.6 Sol is $2.00 per million tokens, so they are tied on this metric. Gemini 3.1 Pro is $12.00 and GPT-5.6 Sol is $10.00 per million tokens, so GPT-5.6 Sol is cheaper on this metric.
Which has a larger context window, Gemini 3.1 Pro or GPT-5.6 Sol?+
GPT-5.6 Sol has the larger sourced context window. Gemini 3.1 Pro supports 1,049K and GPT-5.6 Sol supports 1,050K.
Which performs better in benchmarks, Gemini 3.1 Pro or GPT-5.6 Sol?+
GPT-5.6 Sol leads the current overall benchmark count. The result uses 7 protocol-matched benchmarks from 3 publishers; it is not a universal quality score.
Can Gemini 3.1 Pro or GPT-5.6 Sol be self-hosted?+
Both models have the same recorded self-hosting status: unsupported. Gemini 3.1 Pro is not marked open weight; GPT-5.6 Sol is not marked open weight.
Can Gemini 3.1 Pro and GPT-5.6 Sol understand images?+
Gemini 3.1 Pro is documented with image input; GPT-5.6 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-5.6 Sol?+
GPT-5.6 Sol has the larger sourced maximum output: Gemini 3.1 Pro supports 66K and GPT-5.6 Sol supports 128K output tokens.
Do Gemini 3.1 Pro and GPT-5.6 Sol support reasoning and tool use?+
Gemini 3.1 Pro: reasoning, tool calling, and image input. GPT-5.6 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-5.6 Sol?+
Gemini 3.1 Pro has 2 sourced provider routes; GPT-5.6 Sol has 2, a tie.
Which offers better value, Gemini 3.1 Pro or GPT-5.6 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.