Gemini 4 Argon vs Muse Spark 1.1
Gemini 4 Argon leads the LLM Stats Score 55.1 to 48.3. Muse Spark 1.1 is 2.0x cheaper per token.
Google · Meta · Updated for 2026
Which is better?
Gemini 4 Argon leads the overall LLM Stats Score 55.1 to 48.3, 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 1.1 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 55.1 and ranks #4 on LLM Stats
- your work emphasizes coding and agents — it leads those capability indexes
- you value its reported benchmark strengths — it wins 1 of 1 exact shared results
- you want the most recent training data — it shipped Sep 2026
Choose Muse Spark 1.1
- cost matters — it's about 2.0x cheaper per token
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 · 11 for Muse Spark 1.1
Gemini 4 Argon outperforms in 1 benchmarks (DeepSWE 1.1), while Muse Spark 1.1 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 1.1 ($1.25/1M tokens).
For output processing, Gemini 4 Argon ($10.00/1M tokens) is 2.4x more expensive than Muse Spark 1.1 ($4.25/1M tokens).
In conclusion, Gemini 4 Argon is more expensive than Muse Spark 1.1.*
* 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. Gemini 4 Argon can generate longer responses up to 1,048,576 tokens, while Muse Spark 1.1 is limited to 131,072 tokens.
Input capabilities
Documented input modalities across available providers
Both Gemini 4 Argon and Muse Spark 1.1 support multimodal inputs.
They are both capable of processing various types of data, offering versatility in application.
Gemini 4 Argon
Muse Spark 1.1
License
Usage and distribution terms
Both models are licensed under proprietary licenses.
Both models have usage restrictions defined by their respective organizations.
Proprietary
Closed source
Proprietary
Closed source
Release Timeline
When each model was launched
Gemini 4 Argon was released on 2026-09-30, while Muse Spark 1.1 was released on 2026-07-09.
Gemini 4 Argon is 3 months newer than Muse Spark 1.1.
Sep 30, 2026
3 weeks ago
2mo newerJul 9, 2026
3 months ago
Knowledge 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 1.1 is available from Meta Model API.
Gemini 4 Argon
Muse Spark 1.1
Outputs Comparison
Judge for yourself.
Run your own prompts against Gemini 4 Argon and Muse Spark 1.1 side-by-side, then vote on the output you prefer.
FAQ
Common questions about Gemini 4 Argon vs Muse Spark 1.1.