AI Models · Open-Source vs Paid

Granite 4.2 8B Open vs Muse Spark 1.2 Paid

Granite 4.2 8B vs Muse Spark 1.2 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 · olud.ai

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

Granite 4.2 8BOpenIBM
$0.06 /M input
$0.25 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window131K tokens
MultimodalNo
Self-hostYes
Muse Spark 1.2PaidMeta
$1.25 /M input
$4.25 /M outputManaged API (no infra to run)
TypeProprietary
Context window1M tokens
MultimodalYes
Self-hostNo
Choose Granite 4.2 8B 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 if you want frontier capability through a managed API with zero infrastructure to run.

Granite 4.2 8B vs Muse Spark 1.2 specs

SpecGranite 4.2 8BMuse Spark 1.2Winner
MakerIBMMeta
TypeOpen-weightProprietaryGranite 4.2 8B
Context window131K tokens1M tokensMuse Spark 1.2
Input price$0.06/M · free self-host$1.25/MGranite 4.2 8B
Output price$0.25/M · free self-host$4.25/MGranite 4.2 8B
Vision / multimodalNoYesMuse Spark 1.2
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)Granite 4.2 8B
LicenseApache 2.0ProprietaryGranite 4.2 8B

Price gap & when to choose each

17×cheaper per output token

Granite 4.2 8B is ~17× cheaper than Muse Spark 1.2 on output tokens ($0.25 vs $4.25 per M tokens).

Choose Granite 4.2 8B if…
  • You want to self-host or run on your cloud
  • You prioritize data privacy & control
  • You want the lowest operating costs
  • You are building open or reproducible AI
Choose Muse Spark 1.2 if…
  • You want frontier performance through a managed API
  • You need the longer 1M context window
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGranite 4.2 8BMuse Spark 1.2
Open weights (downloadable)
Self-hostable
Runs fully offline
Vision / multimodal
Tool / function calling
1M+ context window

Benchmarks: Granite 4.2 8B vs Muse Spark 1.2

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

Granite 4.2 8B delivers 5.5× more intelligence per dollar.
Granite 4.2 8B
Muse Spark 1.2
Intelligence index
11.8
39.8
Coding index
22.4
72.2
GPQA
63.1%
90.4%
Humanity's Last Exam
9.7%
45.5%
Long Context Reasoning
45%
79%
SciCode
31.5%
57.4%
τ-Bench Banking
7.6%
34.8%
Terminal-Bench
18.4%
80.1%
Speed
95.3 tok/s
250.1 tok/s
Latency
0.25s
10.81s
Intelligence per $
110.3
19.9

Benchmark data by Artificial Analysis.

How Granite 4.2 8B and Muse Spark 1.2 score

🏆 Best value & openness: Granite 4.2 8B (4.4 vs 3.3 / 5)
CriterionGranite 4.2 8BMuse Spark 1.2
Cost-efficiency5.04.0
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

Granite 4.2 8B Open

IBM · Open-weight

Granite 4.2 8B is a dense reasoning model from IBM. It is suited for mathematics, code generation, multilingual dialogue, and agentic workflows that need multi-step reasoning. It supports full, low-effort,...

Muse Spark 1.2 Paid

Meta · Proprietary

Muse Spark 1.2 is a reasoning model from Meta, designed for complex agentic tasks. It accepts text, images, video, audio, and PDF documents, returns text, and offers a 1M-token context...

Other models in these families

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

Other variants tracked
Granite 4.0 Micro

Frequently asked questions

Is Granite 4.2 8B as good as Muse Spark 1.2?

Granite 4.2 8B is open-weight and competitive on many tasks, but Muse Spark 1.2 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 Granite 4.2 8B locally?

Yes. Granite 4.2 8B 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 is API-only and cannot be self-hosted.

How much cheaper is Granite 4.2 8B?

Granite 4.2 8B costs $0.25/M output vs $4.25/M for Muse Spark 1.2 — roughly 17x cheaper via API, and free if you self-host.

Granite 4.2 8B vs Muse Spark 1.2 — which should I pick in 2026?

Choose Granite 4.2 8B 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 if you want frontier capability through a managed API with zero infrastructure to run.

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