AI Models · Open-Source vs Paid

Mistral Large 4 Open vs PEPerceptron Mk1.5 Paid

Mistral Large 4 vs Perceptron Mk1.5 compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Perceptron Mk1.5 — full profile ›

Prices & specs refreshed from live data · olud.ai

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

Mistral Large 4OpenMistral AI

$1.36 /M input
$4.18 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalYes

Self-hostYes

PEPerceptron Mk1.5PaidPerceptron

$0.15 /M input
$1.5 /M outputManaged API (no infra to run)

TypeProprietary

Context window37K tokens

MultimodalYes

Self-hostNo

Choose Mistral Large 4 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 Perceptron Mk1.5 if you want frontier capability through a managed API with zero infrastructure to run.

Mistral Large 4 vs Perceptron Mk1.5 specs

Spec	Mistral Large 4	Perceptron Mk1.5	Winner
Maker	Mistral AI	Perceptron	–
Type	Open-weight	Proprietary	Mistral Large 4
Context window	1M tokens	37K tokens	Mistral Large 4
Input price	$1.36/M · free self-host	$0.15/M	PEPerceptron Mk1.5
Output price	$4.18/M · free self-host	$1.5/M	PEPerceptron Mk1.5
Vision / multimodal	Yes	Yes	= Tie
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	Mistral Large 4
License	Apache 2.0	Proprietary	Mistral Large 4

Price gap & when to choose each

2.8×cheaper per output token

Perceptron Mk1.5 is ~2.8× cheaper than Mistral Large 4 on output tokens ($1.5 vs $4.18 per M tokens).

Choose Mistral Large 4 if…

You want to self-host or run on your cloud
You need the longer 1M context window
You prioritize data privacy & control
You are building open or reproducible AI

PEChoose Perceptron Mk1.5 if…

You want frontier performance through a managed API
You want the lower output price
You value reliability & ecosystem
You don't want to manage infrastructure

Feature comparison

Capability	Mistral Large 4	Perceptron Mk1.5
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✓	✓
Tool / function calling	✓	✓
1M+ context window	✓	✗

Benchmarks: Mistral Large 4 vs Perceptron Mk1.5

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

Mistral Large 4

Perceptron Mk1.5

Intelligence index

38.4

–

Humanity's Last Exam

35%

–

Long Context Reasoning

81.3%

–

SciCode

54.2%

–

Speed

87.2 tok/s

–

Latency

1.33s

–

Intelligence per $

18.6

–

Benchmark data by Artificial Analysis.

How Mistral Large 4 and Perceptron Mk1.5 score

🏆 Best value & openness: Mistral Large 4 (4.8 vs 2.9 / 5)

Criterion	Mistral Large 4	Perceptron Mk1.5
Cost-efficiency	4.0	4.5
Context window	5.0	2.5
Openness	5.0	1.5
Self-hosting	5.0	1.0
Multimodality	5.0	5.0

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 Large 4 Open

Mistral AI · Open-weight

Mistral Large 4 is a frontier multimodal (text and image input) model from Mistral AI built for reasoning, coding, and agentic workloads. It offers a 1M-token context window with up...

Perceptron Mk1.5 Paid

Perceptron · Proprietary

Perceptron Mk1.5 is Perceptron's embodied reasoning model for physical agents. It accepts text, image, video, and audio input, and answers with text plus optional structured annotations: points, boxes, polygons, tracks,...

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 Medium 3.5Mistral Medium 3.5 (batch)Mistral Small 4Mistral Small 4 (batch)Mistral Large 3 2512Mistral Large 3 2512 (batch)Mistral Medium 3.1Mistral Medium 3.1 (batch)Mistral Medium 3Devstral 2 2512Mistral Small 3.1 24BMistral Small 3.2 24BMistral LargeMistral Large 2407Mistral Small 3SabaMinistral 3 14B 2512Mixtral 8x22B InstructMinistral 3 8B 2512Ministral 3 8B 2512 (batch)Ministral 3 3B 2512UncensoredCodestral 2508Codestral 2508 (batch)Voxtral Small 24B 2507Mistral Nemo

Frequently asked questions

Is Mistral Large 4 as good as Perceptron Mk1.5?

Mistral Large 4 is open-weight and competitive on many tasks, but Perceptron Mk1.5 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 Large 4 locally?

Yes. Mistral Large 4 has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Perceptron Mk1.5 is API-only and cannot be self-hosted.

Mistral Large 4 vs Perceptron Mk1.5 — which should I pick in 2026?

Choose Mistral Large 4 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 Perceptron Mk1.5 if you want frontier capability through a managed API with zero infrastructure to run.

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