AI Models · Open-Source vs Paid

Gemma 4 26B A4B Open vs Muse Spark 1.2 Contributor Paid

Gemma 4 26B A4B 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.

Gemma 4 26B A4BOpenGoogle
$0.04 /M input
$0.22 /M outputNo per-token fees if you self-host
TypeOpen-weight
Context window262K 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 Gemma 4 26B A4B 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.

Gemma 4 26B A4B vs Muse Spark 1.2 Contributor specs

SpecGemma 4 26B A4BMuse Spark 1.2 ContributorWinner
MakerGoogleMeta–
TypeOpen-weightProprietaryGemma 4 26B A4B
Context window262K tokens1M tokensMuse Spark 1.2 Contributor
Input price$0.04/M · free self-host$0.1/MGemma 4 26B A4B
Output price$0.22/M · free self-host$0.2/MMuse Spark 1.2 Contributor
Vision / multimodalYesYes= Tie
Tool / function callingYesYes= Tie
Self-hostableYesNo (API only)Gemma 4 26B A4B
LicenseGemma LicenseProprietaryGemma 4 26B A4B

Price gap & when to choose each

Choose Gemma 4 26B A4B 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 need the longer 1M context window
  • You want the lower output price
  • You value reliability & ecosystem
  • You don't want to manage infrastructure

Feature comparison

CapabilityGemma 4 26B A4BMuse Spark 1.2 Contributor
Open weights (downloadable)✓✗
Self-hostable✓✗
Runs fully offline✓✗
Vision / multimodal✓✓
Tool / function calling✓✓
1M+ context window✗✓

Benchmarks: Gemma 4 26B A4B vs Muse Spark 1.2 Contributor

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

Gemma 4 26B A4B
Muse Spark 1.2 Contributor
Intelligence index
16.7
–
Coding index
39.3
–
GPQA
79.2%
–
Humanity's Last Exam
19.3%
–
Long Context Reasoning
65.7%
–
IFBench
72.4%
–
τ²-Bench
43.6%
–
τ-Bench Banking
12%
–
Terminal-Bench
39%
–
Terminal-Bench Hard
13.6%
–
Speed
0 tok/s
–
Latency
0s
–
Intelligence per $
93.3
–

Benchmark data by Artificial Analysis.

How Gemma 4 26B A4B and Muse Spark 1.2 Contributor score

🏆 Best value & openness: Gemma 4 26B A4B (4.8 vs 3.5 / 5)
CriterionGemma 4 26B A4BMuse Spark 1.2 Contributor
Cost-efficiency5.05.0
Context window4.05.0
Openness5.01.5
Self-hosting5.01.0
Multimodality5.05.0

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

Gemma 4 26B A4B Open

Google · Open-weight

Gemma 4 26B A4B IT is an instruction-tuned Mixture-of-Experts (MoE) model from Google DeepMind. Despite 25.2B total parameters, only 3.8B activate per token during inference — delivering near-31B quality at...

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
Gemma 4 26B A4B (free)Gemma 4 31B (batch)Gemma 4 31BGemma 4 31B (free)Gemma 3 27BGemma 3 4BGemma 3 12BGemma 2 27B

Frequently asked questions

Is Gemma 4 26B A4B as good as Muse Spark 1.2 Contributor?

Gemma 4 26B A4B 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 Gemma 4 26B A4B locally?

Yes. Gemma 4 26B A4B 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.

Gemma 4 26B A4B vs Muse Spark 1.2 Contributor — which should I pick in 2026?

Choose Gemma 4 26B A4B 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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