Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Gemini 4 Argon vs Muse Spark Open: benchmark scores, pricing & comparison.
Side-by-side Gemini 4 Argon vs Muse Spark Open comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.
Verdict: Gemini 4 Argon ranks higher (#6 vs #27) and wins 2 of 2 shared benchmarks.
Rank #6 vs #27AskClash overall scores 72.2 vs 56.9.
Pricing $2.00/$10.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightGoogle vs Meta.
Gemini 4 Argon vs Muse Spark Open benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Gemini 4 Argon | Muse Spark Open |
|---|---|---|
| Overall Score | 72.2 | 56.9 |
| Leaderboard Rank | #6 | #27 |
| ACB | 74.8 | — |
| RWT | — | 7.5 |
| HLE | 57.1 | 43.9 |
| GPQA | — | 89.0 |
| Terminal-Bench | 57.1 | — |
| DeepSWE | 77.9 | — |
| GDPval-AA | 1624.0 | 1401.1 |
| MCP Atlas | — | 89.2 |
| Finance Agent | 65.4 | — |
| MMMU-Pro | — | 80.9 |
| Input Price (per 1M tokens) | $2.00 | — |
| Output Price (per 1M tokens) | $10.0 | — |
| Context Window | 1M | 1M |
| Benchmarks Published | 9 | 8 |
Gemini 4 Argon vs Muse Spark Open head-to-head charts
Gemini 4 Argon leads 3 and Muse Spark Open leads 0 of 3 shared benchmarks. Charts show only benchmarks both models publish.
Gemini 4 ArgonMuse Spark Open
Overall
HLE
GDPval-AA
Gemini 4 Argon
Input$2.00
Output$10.0
Workload$4.00
Context1M
Muse Spark Open
Input—
Output—
Workload—
Context1M
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
More Gemini 4 Argon and Muse Spark Open comparisons
Explore how Gemini 4 Argon and Muse Spark Open stack up against other top-ranked LLMs.
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How to read this comparison
Token pricing
Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.
Coverage matters
Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.
This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.