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Gemini 4 Argon vs Muse Spark 1.3

Gemini 4 Argon and Muse Spark 1.3 are closely matched at 55.1 and 52.8 on the LLM Stats Score.

Google · Meta · Updated for 2026

Which is better?

Gemini 4 Argon and Muse Spark 1.3 are closely matched on the overall LLM Stats Score at 55.1 and 52.8.

In the 3 individual benchmarks reported for both models, Gemini 4 Argon wins 3; this is a narrower head-to-head signal than the composite indexes.

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

Choose Gemini 4 Argon

  • you value its reported benchmark strengths — it wins 3 of 3 exact shared results
  • you want the most recent training data — it shipped Sep 2026

Choose Muse Spark 1.3

  • you want predictable pricing at $1.25/M input and $4.25/M output

At a glance

The differences that matter most.

Gemini 4 Argon
Google
Muse Spark 1.3
Meta
Core performance indexes
LLM Stats Score
55.1
#4
52.8
#11
Reasoning
52.4
#7
50.5
#13
Coding
44.1
#4
40.3
#12
Agents
40.5
#4
38.1
#11
Cost, coverage & limits
Benchmark wins
3 of 3
0 of 3
Input price
— / M
$1.25 / M
Output price
— / M
$4.25 / M
Context window
—
1,048,576

Capability indexes

Additional strengths measured across groups of related public benchmarks

2 shared
Index
Gemini 4 Argon
Muse Spark 1.3
Tool use
30.6#6
29.6#11
Long context
30.6#3
32.2#1
Conservative TrueSkill rating · higher is betterHow scores work

Individual benchmarks

19 reported for Gemini 4 Argon · 11 for Muse Spark 1.3

3 shared

Gemini 4 Argon outperforms in 3 benchmarks (AutomationBench, DeepSWE 1.1, OSWorld 2.0), while Muse Spark 1.3 is better at 0 benchmarks.

Gemini 4 Argon significantly outperforms across most benchmarks.

Thu Oct 08 2026 • llm-stats.com

Human preference

Blind head-to-head votes and playground preference scores

Context Window

Maximum input and output token capacity

Only Muse Spark 1.3 specifies input context (1,048,576 tokens). Only Muse Spark 1.3 specifies output context (943,718 tokens).

Google
Gemini 4 Argon
Input- tokens
Output- tokens
Meta
Muse Spark 1.3
Input1,048,576 tokens
Output943,718 tokens
Thu Oct 08 2026 • llm-stats.com

Input capabilities

Documented input modalities across available providers

Both Gemini 4 Argon and Muse Spark 1.3 support multimodal inputs.

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

Gemini 4 Argon

Text
Images
Audio
Video

Muse Spark 1.3

Text
Images
Audio
Video

License

Usage and distribution terms

Both models are licensed under proprietary licenses.

Both models have usage restrictions defined by their respective organizations.

Gemini 4 Argon

Proprietary

Closed source

Muse Spark 1.3

Proprietary

Closed source

Release Timeline

When each model was launched

Gemini 4 Argon was released on 2026-09-30, while Muse Spark 1.3 was released on 2026-09-02.

Gemini 4 Argon is 1 month newer than Muse Spark 1.3.

Gemini 4 Argon

Sep 30, 2026

1 weeks ago

4w newer
Muse Spark 1.3

Sep 2, 2026

1 months ago

Knowledge Cutoff

When training data ends

Neither model specifies a knowledge cutoff date.

Unable to compare the recency of their training data.

No cutoff dates available

Outputs Comparison

Notice missing or incorrect data?

Judge for yourself.

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

Gemini 4 Argon
✓ Preferred
Muse Spark 1.3
Open in Playground

FAQ

Common questions about Gemini 4 Argon vs Muse Spark 1.3.

Which is better, Gemini 4 Argon or Muse Spark 1.3?

Gemini 4 Argon and Muse Spark 1.3 are closely matched on the LLM Stats Score at 55.1 and 52.8. Gemini 4 Argon 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 Gemini 4 Argon compare to Muse Spark 1.3 in benchmarks?

Gemini 4 Argon scores Graphwalks BFS <128k: 99.7%, Vibe Code Bench: 91.9%, LVBench: 91.7%, LABBench2: 88.8%, Graphwalks BFS >128k: 84.2%. 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%.

What are the context window sizes for Gemini 4 Argon and Muse Spark 1.3?

Gemini 4 Argon supports an unknown number of 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 Gemini 4 Argon and Muse Spark 1.3?

Key differences include LLM Stats Score (55.1 vs 52.8). See the full comparison above for benchmark-by-benchmark results.

Who makes Gemini 4 Argon and Muse Spark 1.3?

Gemini 4 Argon is developed by Google and Muse Spark 1.3 is developed by Meta.

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