AI Models · Open-Source vs Paid

Mistral Nemo Open vs Gemini 3.5 Flash Paid

Mistral Nemo vs Gemini 3.5 Flash 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Nemo vs Gemini 3.5 Flash specs

SpecMistral NemoGemini 3.5 Flash
MakerMistral AIGoogle
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.02/M · free self-host$1.5/M
Output price$0.03/M · free self-host$9/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

CapabilityMistral NemoGemini 3.5 Flash
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Nemo vs Gemini 3.5 Flash

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

Mistral Nemo
Gemini 3.5 Flash
Intelligence index
50.2
Coding index
70.1
GPQA
92.2%
Humanity's Last Exam
41%
Long Context Reasoning
69.3%
SciCode
53.1%
IFBench
76.3%
τ²-Bench
95.3%
τ-Bench Banking
25.4%
Terminal-Bench
78.7%
Terminal-Bench Hard
40.9%
Speed
293.7 tok/s
Latency
12.74s
Intelligence per $
14.9

Benchmark data by Artificial Analysis.

How Mistral Nemo and Gemini 3.5 Flash score

🏆 Best value & openness: Mistral Nemo (4.4 vs 3.2 / 5)
CriterionMistral NemoGemini 3.5 Flash
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 3.5 Flash Paid

Google · Proprietary

Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...

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 3 Flash PreviewGemini 2.5 Flash

Frequently asked questions

Is Mistral Nemo as good as Gemini 3.5 Flash?

Mistral Nemo is open-weight and competitive on many tasks, but Gemini 3.5 Flash 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 3.5 Flash is API-only and cannot be self-hosted.

How much cheaper is Mistral Nemo?

Mistral Nemo costs $0.03/M output vs $9/M for Gemini 3.5 Flash — roughly 300x cheaper via API, and free if you self-host.

Mistral Nemo vs Gemini 3.5 Flash — 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 3.5 Flash if you want frontier capability through a managed API with zero infrastructure to run.

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