AI Models · Paid vs Paid

Gemini 3.1 Pro Preview Paid vs GPT-5.6 Sol Paid

Gemini 3.1 Pro Preview vs GPT-5.6 Sol compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.

Prices & specs refreshed from live data · olud.ai

Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.

Gemini 3.1 Pro PreviewPaidGoogle
$2 /M input
$12 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
GPT-5.6 SolPaidOpenAI
$2 /M input
$10 /M outputManaged API (no infra to run)
TypeProprietary
Context window1.1M tokens
MultimodalYes
Self-hostNo
Choose GPT-5.6 Sol for the lower output price ($10/M vs $12/M). It also gives you the larger 1.1M context window.

Gemini 3.1 Pro Preview vs GPT-5.6 Sol specs

SpecGemini 3.1 Pro PreviewGPT-5.6 SolWinner
MakerGoogleOpenAI
TypeProprietaryProprietary
Context window1M tokens1.1M tokensGPT-5.6 Sol
Input price$2/M$2/M= Tie
Output price$12/M$10/MGPT-5.6 Sol
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

Choose Gemini 3.1 Pro Preview if…
  • You want frontier performance through a managed API
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
Choose GPT-5.6 Sol if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGemini 3.1 Pro PreviewGPT-5.6 Sol
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Gemini 3.1 Pro Preview vs GPT-5.6 Sol

Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).

Gemini 3.1 Pro Preview
GPT-5.6 Sol
Intelligence index
30.4
47.1
Coding index
68.8
77.4
GPQA
94.1%
94.1%
Humanity's Last Exam
47%
49.5%
Long Context Reasoning
82%
84%
SciCode
58.7%
57.1%
IFBench
77.1%
72.7%
τ²-Bench
95.6%
85.1%
τ-Bench Banking
21.4%
44.3%
Terminal-Bench
73.8%
88%
Terminal-Bench Hard
53.8%
65.9%
Speed
125.2 tok/s
68.7 tok/s
Latency
24.48s
124.83s
Intelligence per $
6.8
5.9

Benchmark data by Artificial Analysis.

How Gemini 3.1 Pro Preview and GPT-5.6 Sol score

🤝 Neck and neck on these criteria (3.2 vs 3.2 / 5).
CriterionGemini 3.1 Pro PreviewGPT-5.6 Sol
Cost-efficiency3.53.5
Context window5.05.0
Openness1.51.5
Self-hosting1.01.0
Multimodality5.05.0

Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.

What each model is

Gemini 3.1 Pro Preview Paid

Google · Proprietary

Gemini 3.1 Pro Preview is Google’s frontier reasoning model, delivering enhanced software engineering performance, improved agentic reliability, and more efficient token usage across complex workflows. Building on the multimodal foundation.

GPT-5.6 Sol Paid

OpenAI · Proprietary

GPT-5.6 Sol is the flagship model in OpenAI's GPT-5.6 series. It is suited for complex reasoning, coding, and agentic workflows, and is particularly strong at command-line and multi-step coding tasks...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked
Gemini 3.1 Pro Preview (batch)Gemini 2.5 ProGemini 2.5 Pro (batch)Gemini 2.5 Pro Preview 05-06Gemini 3.1 Pro Preview Custom ToolsNano Banana Pro (Gemini 3 Pro Image Preview)

Frequently asked questions

Gemini 3.1 Pro Preview vs GPT-5.6 Sol — which is cheaper?

GPT-5.6 Sol is cheaper on output ($10/M vs $12/M).

Which has the larger context window?

GPT-5.6 Sol offers the larger context window (1.1M tokens).

Gemini 3.1 Pro Preview vs GPT-5.6 Sol — which should I pick in 2026?

Choose GPT-5.6 Sol for the lower output price ($10/M vs $12/M). It also gives you the larger 1.1M context window.

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