AI Models · Open-Source vs Paid

MiniMax M3 Open vs Gemini 3.1 Pro Preview Paid

MiniMax M3 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 MiniMax M3 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.

MiniMax M3 vs Gemini 3.1 Pro Preview specs

SpecMiniMax M3Gemini 3.1 Pro Preview
MakerMiniMaxGoogle
TypeOpen-weightProprietary
Context window1M tokens1M tokens
Input price$0.3/M · free self-host$2/M
Output price$1.2/M · free self-host$12/M
Vision / multimodalYesYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseMITProprietary

Feature comparison

CapabilityMiniMax M3Gemini 3.1 Pro Preview
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: MiniMax M3 vs Gemini 3.1 Pro Preview

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

MiniMax M3 delivers 8.2× more intelligence per dollar.
MiniMax M3
Gemini 3.1 Pro Preview
Intelligence index
44.4
46.5
Coding index
58.6
68.8
GPQA
92.9%
94.1%
Humanity's Last Exam
37.1%
44.7%
Long Context Reasoning
74%
72.7%
SciCode
45.4%
58.9%
IFBench
82.9%
77.1%
τ²-Bench
88.9%
95.6%
τ-Bench Banking
13%
16.5%
Terminal-Bench
65.2%
73.8%
Terminal-Bench Hard
42.4%
53.8%
Speed
97.6 tok/s
137.1 tok/s
Latency
1.21s
23.58s
Intelligence per $
84.6
10.3

Benchmark data by Artificial Analysis.

How MiniMax M3 and Gemini 3.1 Pro Preview score

🏆 Best value & openness: MiniMax M3 (4.9 vs 3.2 / 5)
CriterionMiniMax M3Gemini 3.1 Pro Preview
Cost-efficiency4.53.5
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

MiniMax M3 Open

MiniMax · Open-weight

MiniMax-M3 is a multimodal foundation model from MiniMax. It supports text, image, and video inputs with text output, a 1M-token context window, and is suited for long-horizon agentic work, coding,...

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
MiniMax M2.7MiniMax M2.5MiniMax M2.1MiniMax M2MiniMax M2-herMiniMax-01MiniMax M1
Other variants tracked
Gemini 2.5 Pro

Frequently asked questions

Is MiniMax M3 as good as Gemini 3.1 Pro Preview?

MiniMax M3 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 MiniMax M3 locally?

Yes. MiniMax M3 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.

How much cheaper is MiniMax M3?

MiniMax M3 costs $1.2/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 10x cheaper via API, and free if you self-host.

MiniMax M3 vs Gemini 3.1 Pro Preview — which should I pick in 2026?

Choose MiniMax M3 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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