Gemini 4 Argon vs Muse Spark Open
Gemini 4 Argon leads the LLM Stats Score 55.0 to 44.9. Muse Spark Open is 2.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.0 to 44.9, ranking #4 overall.
In the 1 individual benchmarks reported for both models, Gemini 4 Argon wins 1; this is a narrower head-to-head signal than the composite indexes.
On price, Muse Spark Open is roughly 2.0x cheaper per token on a blended 3:1 input/output basis, which adds up quickly at production volume.
Based on current LLM Stats indexes, shared benchmarks, pricing, and model metadata for 2026.
Choose Gemini 4 Argon
- overall performance matters — it scores 55.0 and ranks #4 on LLM Stats
- your work emphasizes reasoning and coding — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
Choose Muse Spark Open
- cost matters — it's about 2.0x cheaper per token
- you want the most recent training data — it shipped Oct 2026
- you need open weights you can self-host or fine-tune
At a glance
The differences that matter most.
Capability indexes
Additional strengths measured across groups of related public benchmarks
Individual benchmarks
19 reported for Gemini 4 Argon · 17 for Muse Spark Open
Gemini 4 Argon outperforms in 1 benchmarks (DeepSWE 1.1), while Muse Spark Open is better at 0 benchmarks.
Gemini 4 Argon significantly outperforms across most benchmarks.
Human preference
Blind head-to-head votes and playground preference scores
Pricing Analysis
Price comparison per million tokens
For input processing, Gemini 4 Argon ($2.00/1M tokens) is 1.6x more expensive than Muse Spark Open ($1.25/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.4x more expensive than Muse Spark Open ($4.25/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Muse Spark Open.*
* Using a 3:1 ratio of input to output tokens
Context Window
Maximum input and output token capacity
Both models have the same input context window of 1,048,576 tokens. Both models can generate responses up to 1,048,576 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and Muse Spark Open support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
Muse Spark Open
License
Usage and distribution terms
Gemini 4 Argon is licensed under a proprietary license, while Muse Spark Open uses Muse Model License.
License differences may affect how you can use these models in commercial or open-source projects.
Proprietary
Closed source
Muse Model License
Open weights
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while Muse Spark Open was released on 2026-10-15.
Muse Spark Open is 1 month newer than Gemini 4 Argon.
Sep 30, 2026
2 weeks ago
Oct 15, 2026
2 days ago
2w newerKnowledge Cutoff
When training data ends
Neither model specifies a knowledge cutoff date.
Unable to compare the recency of their training data.
Provider Availability
Gemini 4 Argon is available from Google. Muse Spark Open is available from Together.
Gemini 4 Argon
Muse Spark Open
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Muse Spark Open side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Muse Spark Open.