Model Comparison

Gemma 3 4B vs Muse Spark 1.1Which is better in 2026?

Comparing Gemma 3 4B and Muse Spark 1.1 across benchmarks, pricing, and capabilities.

Verdict: Gemma 3 4B vs Muse Spark 1.1 — which is better?

Gemma 3 4B (by Google) and Muse Spark 1.1 (by Meta) are two of the AI models people compare most. Here is how they stack up on benchmarks, price and capabilities, and which one to pick in 2026.

On price, Gemma 3 4B is roughly 80.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.1 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Choose Gemma 3 4B if…

  • cost matters — it's about 80.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.1 if…

  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Jul 2026

Performance Benchmarks

Comparative analysis across standard metrics

No common benchmarks found

Gemma 3 4B and Muse Spark 1.1don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Arena Performance

Human preference votes

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 62.5x cheaper than Muse Spark 1.1 ($1.25/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 106.3x cheaper than Muse Spark 1.1 ($4.25/1M tokens).

In conclusion, Muse Spark 1.1 is more expensive than Gemma 3 4B.*

* Using a 3:1 ratio of input to output tokens

Lowest available price from all providers
Sat Jul 18 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Meta
Muse Spark 1.1
Input tokens$1.25
Output tokens$4.25
Best providerMeta
Notice missing or incorrect data?Start an Issue→

Context Window

Maximum input and output token capacity

Muse Spark 1.1 accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Both models can generate responses up to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Meta
Muse Spark 1.1
Input1,048,576 tokens
Output131,072 tokens
Sat Jul 18 2026 • llm-stats.com

Input Capabilities

Supported data types and modalities

Both Gemma 3 4B and Muse Spark 1.1 support multimodal inputs.

They are both capable of processing various types of data, offering versatility in application.

Gemma 3 4B

Text
Images
Audio
Video

Muse Spark 1.1

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Muse Spark 1.1 uses a proprietary license.

License differences may affect how you can use these models in commercial or open-source projects.

Gemma 3 4B

Gemma

Open weights

Muse Spark 1.1

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Muse Spark 1.1 was released on 2026-07-09.

Muse Spark 1.1 is 16 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.4 years ago

Muse Spark 1.1

Jul 9, 2026

1 weeks ago

1.3yr newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Muse Spark 1.1's cutoff date is not specified.

We can confirm Gemma 3 4B's training data extends to 2024-08-01, but cannot make a direct comparison without Muse Spark 1.1's cutoff date.

Gemma 3 4B

Aug 2024

Muse Spark 1.1

—

Provider Availability

Gemma 3 4B is available from DeepInfra. Muse Spark 1.1 is available from Meta Model API.

Gemma 3 4B

deepinfra logo
Deepinfra
Input Price:Input: $0.02/1MOutput Price:Output: $0.04/1M

Muse Spark 1.1

meta logo
Meta
Input Price:Input: $1.25/1MOutput Price:Output: $4.25/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion→

Key Takeaways

Google
Less expensive input tokens
Less expensive output tokens
Has open weights
Meta
Larger context window (1,048,576 tokens)

Detailed Comparison

Interactive Arena

Judge for yourself.

Run your own prompts against Gemma 3 4B and Muse Spark 1.1 side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
Muse Spark 1.1
Open in Playground
AI Model Comparison Table
Feature
Google
Gemma 3 4B
Meta
Muse Spark 1.1

FAQ

Common questions about Gemma 3 4B vs Muse Spark 1.1.

Which is better, Gemma 3 4B or Muse Spark 1.1?

Gemma 3 4B (Google) and Muse Spark 1.1 (Meta) each have strengths in different areas. Compare their benchmark scores, pricing, context windows, and capabilities above to determine which fits your needs.

How does Gemma 3 4B compare to Muse Spark 1.1 in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Muse Spark 1.1 scores CharXiv-R: 88.4%, MCP Atlas: 88.1%, OSWorld-Verified: 80.8%, Terminal-Bench 2.1: 80.0%, BabyVision: 76.3%.

Is Gemma 3 4B cheaper than Muse Spark 1.1?

Gemma 3 4B is 62.5x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Muse Spark 1.1 costs $1.25/M input and $4.25/M output via meta.

What are the context window sizes for Gemma 3 4B and Muse Spark 1.1?

Gemma 3 4B supports 131K tokens and Muse Spark 1.1 supports 1.0M tokens. A larger context window lets you process longer documents, conversations, or codebases in a single request.

What are the main differences between Gemma 3 4B and Muse Spark 1.1?

Key differences include context window (131K vs 1.0M), input pricing ($0.02 vs $1.25/M), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Muse Spark 1.1?

Gemma 3 4B is developed by Google and Muse Spark 1.1 is developed by Meta.

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