AI Models · Open-Source vs Paid

Kimi K3 Open vs Gemini 3.1 Pro Preview Paid

Kimi K3 vs Gemini 3.1 Pro Preview compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Prices & specs refreshed from live data · OpenSourceAI.tech

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

Choose Kimi K3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

Kimi K3 vs Gemini 3.1 Pro Preview specs

SpecKimi K3Gemini 3.1 Pro Preview
MakerMoonshot AIGoogle
TypeOpen-weightProprietary
Context window1M tokens1M tokens
Input price$3/M · free self-host$2/M
Output price$15/M · free self-host$12/M
Vision / multimodalYesYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseModified MITProprietary

Feature comparison

CapabilityKimi K3Gemini 3.1 Pro Preview
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Kimi K3 vs Gemini 3.1 Pro Preview

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

Kimi K3
Gemini 3.1 Pro Preview
Intelligence index
57.1
46.5
Coding index
76.2
68.8
GPQA
93.5%
94.1%
Humanity's Last Exam
44.3%
44.7%
Long Context Reasoning
74.7%
72.7%
SciCode
58.7%
58.9%
τ-Bench Banking
33.4%
16.5%
Terminal-Bench
85%
73.8%
IFBench
77.1%
τ²-Bench
95.6%
Terminal-Bench Hard
53.8%
Speed
39.4 tok/s
137.1 tok/s
Latency
2.62s
23.58s
Intelligence per $
9.5
10.3

Benchmark data by Artificial Analysis.

How Kimi K3 and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Kimi K3 (4.6 vs 3.2 / 5)
CriterionKimi K3Gemini 3.1 Pro Preview
Cost-efficiency3.03.5
Context window5.05.0
Openness5.01.5
Self-hosting5.01.0
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

Kimi K3 Open

Moonshot AI · Open-weight

Kimi K3 is a 2.8T parameter open-weight multimodal reasoning model from Moonshot AI. It is suited for complex coding, knowledge work, and long-horizon agentic workflows, and is particularly strong at...

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
Kimi K2.6Kimi K2.5Kimi K2.7 CodeKimi K2 0905Kimi K2 0711Kimi K2 ThinkingMoonshotAI Kimi Latest
Other variants tracked
Gemini 2.5 Pro

Frequently asked questions

Is Kimi K3 as good as Gemini 3.1 Pro Preview?

Kimi K3 is open-weight and competitive on many tasks, but Gemini 3.1 Pro Preview may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.

Can I run Kimi K3 locally?

Yes. Kimi K3 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Gemini 3.1 Pro Preview is API-only and cannot be self-hosted.

Kimi K3 vs Gemini 3.1 Pro Preview — which should I pick in 2026?

Choose Kimi K3 if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Gemini 3.1 Pro Preview if you want frontier capability through a managed API with zero infrastructure to run.

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