AI Models · Open-Source vs Paid

Mistral Nemo Open vs Gemini 3.1 Pro Preview Paid

Mistral Nemo 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 Mistral Nemo 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.

Mistral Nemo vs Gemini 3.1 Pro Preview specs

SpecMistral NemoGemini 3.1 Pro Preview
MakerMistral AIGoogle
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.02/M · free self-host$2/M
Output price$0.03/M · free self-host$12/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

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

Benchmarks: Mistral Nemo vs Gemini 3.1 Pro Preview

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

Mistral Nemo
Gemini 3.1 Pro Preview
Intelligence index
46.5
Coding index
68.8
GPQA
94.1%
Humanity's Last Exam
44.7%
Long Context Reasoning
72.7%
SciCode
58.9%
IFBench
77.1%
τ²-Bench
95.6%
τ-Bench Banking
16.5%
Terminal-Bench
73.8%
Terminal-Bench Hard
53.8%
Speed
137.1 tok/s
Latency
23.58s
Intelligence per $
10.3

Benchmark data by Artificial Analysis.

How Mistral Nemo and Gemini 3.1 Pro Preview score

🏆 Best value & openness: Mistral Nemo (4.4 vs 3.2 / 5)
CriterionMistral NemoGemini 3.1 Pro Preview
Cost-efficiency5.03.5
Context window3.55.0
Openness5.01.5
Self-hosting5.01.0
Multimodality3.55.0

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

Mistral Nemo Open

Mistral AI · Open-weight

A 12B parameter model with a 128k token context length built by Mistral in collaboration with NVIDIA. The model is multilingual, supporting English, French, German, Spanish, Italian, Portuguese, Chinese, Japanese,...

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
Mistral Small 3.2 24BMistral Small 4Mistral Small 3Mistral Medium 3.5Mistral Large 3 2512Ministral 3 8B 2512Devstral 2 2512Mistral Medium 3.1Ministral 3 14B 2512Ministral 3 3B 2512Mistral Medium 3Mistral LargeCodestral 2508Mistral Small 3.1 24BUncensoredMixtral 8x22B InstructVoxtral Small 24B 2507Mistral Large 2407Saba
Other variants tracked
Gemini 2.5 Pro

Frequently asked questions

Is Mistral Nemo as good as Gemini 3.1 Pro Preview?

Mistral Nemo 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 Mistral Nemo locally?

Yes. Mistral Nemo 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 Mistral Nemo?

Mistral Nemo costs $0.03/M output vs $12/M for Gemini 3.1 Pro Preview — roughly 400x cheaper via API, and free if you self-host.

Mistral Nemo vs Gemini 3.1 Pro Preview — which should I pick in 2026?

Choose Mistral Nemo 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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