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Gemma 3 4B vs Muse Spark 1.3

Muse Spark 1.3 leads the LLM Stats Score 55.3 to -1.7. Gemma 3 4B is 5.0x cheaper per token.

Google · Meta · Updated for 2026

Which is better?

Muse Spark 1.3 leads the overall LLM Stats Score 55.3 to -1.7, ranking #5 overall.

On price, Gemma 3 4B is roughly 5.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.

Muse Spark 1.3 also accepts a larger context window (1,048,576 input tokens), making it the stronger choice for long documents and large codebases.

Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.

Choose Gemma 3 4B

  • cost matters — it's about 5.0x cheaper per token
  • you need open weights you can self-host or fine-tune

Choose Muse Spark 1.3

  • overall performance matters — it scores 55.3 and ranks #5 on LLM Stats
  • your work emphasizes reasoning and coding — it leads those capability indexes
  • you process long inputs — it offers a 1,048,576 token context window
  • you want the most recent training data — it shipped Sep 2026

At a glance

The differences that matter most.

Core performance indexes
-1.7
#325
55.3
#5
-2.7
#321
52.8
#7
-4.3
#246
41.7
#10
Cost, coverage & limits
Benchmark wins
Input price
$0.02 / M
$0.10 / M
Output price
$0.04 / M
$0.20 / M
Context window
131,072
1,048,576

Individual benchmarks

26 reported for Gemma 3 4B · 11 for Muse Spark 1.3

No common benchmarks found

Gemma 3 4B and Muse Spark 1.3don't have any common benchmark datasets to compare. They may have been evaluated on different testing suites.

Human preference

Blind head-to-head votes and playground preference scores

Pricing Analysis

Price comparison per million tokens

Gemma 3 4B costs less

For input processing, Gemma 3 4B ($0.02/1M tokens) is 5.0x cheaper than Muse Spark 1.3 ($0.10/1M tokens).

For output processing, Gemma 3 4B ($0.04/1M tokens) is 5.0x cheaper than Muse Spark 1.3 ($0.20/1M tokens).

In conclusion, Muse Spark 1.3 is more expensive than Gemma 3 4B.*

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

Lowest available price from all providers
Fri Sep 04 2026 • llm-stats.com
Google
Gemma 3 4B
Input tokens$0.02
Output tokens$0.04
Best providerDeepinfra
Meta
Muse Spark 1.3
Input tokens$0.10
Output tokens$0.20
Best providerMeta
Notice missing or incorrect data?Start an Issue

Context Window

Maximum input and output token capacity

Muse Spark 1.3 accepts 1,048,576 input tokens compared to Gemma 3 4B's 131,072 tokens. Muse Spark 1.3 can generate longer responses up to 943,718 tokens, while Gemma 3 4B is limited to 131,072 tokens.

Google
Gemma 3 4B
Input131,072 tokens
Output131,072 tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Fri Sep 04 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemma 3 4B and Muse Spark 1.3 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 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Gemma 3 4B is licensed under Gemma, while Muse Spark 1.3 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 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemma 3 4B was released on 2025-03-12, while Muse Spark 1.3 was released on 2026-09-02.

Muse Spark 1.3 is 18 months newer than Gemma 3 4B.

Gemma 3 4B

Mar 12, 2025

1.5 years ago

Muse Spark 1.3

Sep 2, 2026

1 days ago

1.5yr newer

Knowledge Cutoff

When training data ends

Gemma 3 4B has a documented knowledge cutoff of 2024-08-01, while Muse Spark 1.3'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 1.3's cutoff date.

Gemma 3 4B

Aug 2024

Muse Spark 1.3

Provider Availability

Gemma 3 4B is available from DeepInfra. Muse Spark 1.3 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 1.3

meta logo
Meta
Input Price:Input: $0.10/1MOutput Price:Output: $0.20/1M
* Prices shown are per million tokens

Outputs Comparison

Notice missing or incorrect data?Start an Issue discussion

Judge for yourself.

Run your own prompts against Gemma 3 4B and Muse Spark 1.3 side-by-side, then vote on the output you prefer.

Gemma 3 4B
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Gemma 3 4B vs Muse Spark 1.3.

Which is better, Gemma 3 4B or Muse Spark 1.3?

Muse Spark 1.3 leads the LLM Stats Score 55.3 to -1.7. Gemma 3 4B is made by Google and Muse Spark 1.3 is made by Meta. The best choice depends on your use case — compare their capability indexes, individual benchmarks, pricing, and limits above.

How does Gemma 3 4B compare to Muse Spark 1.3 in benchmarks?

Gemma 3 4B scores IFEval: 90.2%, GSM8k: 89.2%, DocVQA: 75.8%, MATH: 75.6%, AI2D: 74.8%. Muse Spark 1.3 scores MRCR v2 (8-needle): 98.5%, MRCR v2 (8-needle, 512K-1M): 98.1%, DeepSearchQA: 89.4%, Terminal-Bench 2.1: 88.8%, DeepSWE 1.1: 75.4%.

Is Gemma 3 4B cheaper than Muse Spark 1.3?

Gemma 3 4B is 5.0x cheaper for input tokens. Gemma 3 4B costs $0.02/M input and $0.04/M output via deepinfra. Muse Spark 1.3 costs $0.10/M input and $0.20/M output via meta.

What are the context window sizes for Gemma 3 4B and Muse Spark 1.3?

Gemma 3 4B supports 131K tokens and Muse Spark 1.3 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 1.3?

Key differences include LLM Stats Score (-1.7 vs 55.3), context window (131K vs 1.0M), input pricing ($0.02 vs $0.10/M), licensing (Gemma vs Proprietary). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemma 3 4B and Muse Spark 1.3?

Gemma 3 4B is developed by Google and Muse Spark 1.3 is developed by Meta.