AI Models · Open-Source vs Paid

Llama 4 Maverick Open vs Muse Spark 1.2 Contributor Paid

Llama 4 Maverick vs Muse Spark 1.2 Contributor compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.

Muse Spark 1.2 Contributor — full profile ›

Prices & specs refreshed from live data · olud.ai

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

Llama 4 MaverickOpenMeta

$0.2 /M input
$0.7 /M outputNo per-token fees if you self-host

TypeOpen-weight

Context window1M tokens

MultimodalYes

Self-hostYes

Muse Spark 1.2 ContributorPaidMeta

$0.1 /M input
$0.2 /M outputManaged API (no infra to run)

TypeProprietary

Context window1M tokens

MultimodalYes

Self-hostNo

Choose Llama 4 Maverick 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 Muse Spark 1.2 Contributor if you want frontier capability through a managed API with zero infrastructure to run.

Llama 4 Maverick vs Muse Spark 1.2 Contributor specs

Spec	Llama 4 Maverick	Muse Spark 1.2 Contributor	Winner
Maker	Meta	Meta	–
Type	Open-weight	Proprietary	Llama 4 Maverick
Context window	1M tokens	1M tokens	= Tie
Input price	$0.2/M · free self-host	$0.1/M	Muse Spark 1.2 Contributor
Output price	$0.7/M · free self-host	$0.2/M	Muse Spark 1.2 Contributor
Vision / multimodal	Yes	Yes	= Tie
Tool / function calling	Yes	Yes	= Tie
Self-hostable	Yes	No (API only)	Llama 4 Maverick
License	Llama Community	Proprietary	Llama 4 Maverick

Price gap & when to choose each

3.5×cheaper per output token

Muse Spark 1.2 Contributor is ~3.5× cheaper than Llama 4 Maverick on output tokens ($0.2 vs $0.7 per M tokens).

Choose Llama 4 Maverick if…

You want to self-host or run on your cloud
You prioritize data privacy & control
You are building open or reproducible AI

Choose Muse Spark 1.2 Contributor 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	Llama 4 Maverick	Muse Spark 1.2 Contributor
Open weights (downloadable)	✓	✗
Self-hostable	✓	✗
Runs fully offline	✓	✗
Vision / multimodal	✓	✓
Tool / function calling	✓	✓
1M+ context window	✓	✓

Benchmarks: Llama 4 Maverick vs Muse Spark 1.2 Contributor

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

Llama 4 Maverick

Muse Spark 1.2 Contributor

Intelligence index

9.3

–

Coding index

16.3

–

Math index

19.3

–

GPQA

67.1%

–

MMLU-Pro

80.9%

–

Humanity's Last Exam

4.9%

–

Long Context Reasoning

50%

–

LiveCodeBench

39.7%

–

SciCode

31.7%

–

MATH-500

88.9%

–

AIME

39%

–

AIME 2025

19.3%

–

IFBench

43%

–

τ²-Bench

17.8%

–

τ-Bench Banking

3.7%

–

Terminal-Bench

7.9%

–

Terminal-Bench Hard

6.8%

–

Speed

96.3 tok/s

–

Latency

0.57s

–

Intelligence per $

–

Benchmark data by Artificial Analysis.

How Llama 4 Maverick and Muse Spark 1.2 Contributor score

🏆 Best value & openness: Llama 4 Maverick (5.0 vs 3.5 / 5)

Criterion	Llama 4 Maverick	Muse Spark 1.2 Contributor
Cost-efficiency	5.0	5.0
Context window	5.0	5.0
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

Llama 4 Maverick Open

Meta · Open-weight

Llama 4 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...

Muse Spark 1.2 Contributor Paid

Meta · Proprietary

Muse Spark 1.2 contributor tier is a reasoning model from Meta designed for developers who want to start building at an even lower cost. It’s meaningfully cheaper than Muse Spark...

Other models in these families

These variants are tracked but not compared here — one page per family keeps the comparison readable.

Other variants tracked

R1 Distill Llama 70BLlama 3.3 70B InstructLlama 3.1 8B InstructLlama 3.1 70B InstructLlama 4 ScoutHermes 3 70B InstructLlama 3.2 3B InstructLlama 3.2 1B InstructAion-RP 1.0 (8B)Hermes 3 405B InstructLlama 3.1 Euryale 70B v2.2Llama 3.3 Euryale 70BLlama Guard 4 12BLlama 3 8B Lunaris

Frequently asked questions

Is Llama 4 Maverick as good as Muse Spark 1.2 Contributor?

Llama 4 Maverick is open-weight and competitive on many tasks, but Muse Spark 1.2 Contributor 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 Llama 4 Maverick locally?

Yes. Llama 4 Maverick has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Muse Spark 1.2 Contributor is API-only and cannot be self-hosted.

Llama 4 Maverick vs Muse Spark 1.2 Contributor — which should I pick in 2026?

Choose Llama 4 Maverick 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 Muse Spark 1.2 Contributor if you want frontier capability through a managed API with zero infrastructure to run.

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