AI Models · Paid vs Paid

GPT-5.6 Terra Paid vs Gemini 3.1 Pro Preview Paid

GPT-5.6 Terra vs Gemini 3.1 Pro Preview 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.

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

GPT-5.6 Terra vs Gemini 3.1 Pro Preview specs

SpecGPT-5.6 TerraGemini 3.1 Pro PreviewWinner
MakerOpenAIGoogle
TypeProprietaryProprietary
Context window1.1M tokens1M tokensGPT-5.6 Terra
Input price$2/M$2/M= Tie
Output price$12/M$12/M= Tie
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableNo (API only)No (API only)
LicenseProprietaryProprietary

Price gap & when to choose each

Choose GPT-5.6 Terra if…
  • You want frontier performance through a managed API
  • You need the longer 1.1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure
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

Feature comparison

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

Benchmarks: GPT-5.6 Terra vs Gemini 3.1 Pro Preview

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

GPT-5.6 Terra
Gemini 3.1 Pro Preview
Intelligence index
42.3
30.4
Coding index
76.7
68.8
GPQA
92.5%
94.1%
Humanity's Last Exam
42.9%
47%
Long Context Reasoning
83%
82%
SciCode
55%
58.7%
IFBench
71.2%
77.1%
τ²-Bench
86.3%
95.6%
τ-Bench Banking
40.2%
21.4%
Terminal-Bench
88%
73.8%
Terminal-Bench Hard
57.6%
53.8%
Speed
115.5 tok/s
125.2 tok/s
Latency
107.22s
24.48s
Intelligence per $
9.4
6.8

Benchmark data by Artificial Analysis.

How GPT-5.6 Terra and Gemini 3.1 Pro Preview score

🤝 Neck and neck on these criteria (3.2 vs 3.2 / 5).
CriterionGPT-5.6 TerraGemini 3.1 Pro Preview
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

GPT-5.6 Terra Paid

OpenAI · Proprietary

GPT-5.6 Terra is a balanced model in OpenAI's GPT-5.6 series, positioned between the flagship Sol tier and the cost-efficient Luna tier. It is suited for everyday coding, reasoning, and agentic...

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.

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

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

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

Which has the larger context window?

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

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

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

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