AI Models · Open-Source vs Paid

Mistral Nemo Open vs GPT-4.1 Paid

Mistral Nemo vs GPT-4.1 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 GPT-4.1 if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Nemo vs GPT-4.1 specs

SpecMistral NemoGPT-4.1
MakerMistral AIOpenAI
TypeOpen-weightProprietary
Context window131K tokens1M tokens
Input price$0.02/M · free self-host$2/M
Output price$0.03/M · free self-host$8/M
Vision / multimodalNoYes
Tool / function callingYesYes
Self-hostableYesNo (API only)
LicenseApache 2.0Proprietary

Feature comparison

CapabilityMistral NemoGPT-4.1
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Mistral Nemo vs GPT-4.1

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

Mistral Nemo
GPT-4.1
Intelligence index
19.4
Math index
34.7
GPQA
66.6%
MMLU-Pro
80.6%
Humanity's Last Exam
4.6%
Long Context Reasoning
61%
LiveCodeBench
45.7%
SciCode
38.1%
MATH-500
91.3%
AIME
43.7%
AIME 2025
34.7%
IFBench
43%
τ²-Bench
47.1%
Terminal-Bench Hard
13.6%
Speed
150.8 tok/s
Latency
0.56s
Intelligence per $
5.5

Benchmark data by Artificial Analysis.

How Mistral Nemo and GPT-4.1 score

🏆 Best value & openness: Mistral Nemo (4.4 vs 3.2 / 5)
CriterionMistral NemoGPT-4.1
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,...

GPT-4.1 Paid

OpenAI · Proprietary

GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...

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
GPT-4.1 Mini

Frequently asked questions

Is Mistral Nemo as good as GPT-4.1?

Mistral Nemo is open-weight and competitive on many tasks, but GPT-4.1 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. GPT-4.1 is API-only and cannot be self-hosted.

How much cheaper is Mistral Nemo?

Mistral Nemo costs $0.03/M output vs $8/M for GPT-4.1 — roughly 267x cheaper via API, and free if you self-host.

Mistral Nemo vs GPT-4.1 — 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 GPT-4.1 if you want frontier capability through a managed API with zero infrastructure to run.

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