LLM Comparison

GPT-6 Astra vs Muse Spark Open: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra 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: GPT-6 Astra ranks higher (#8 vs #27) and wins 5 of 5 shared benchmarks.

Rank #8 vs #27AskClash overall scores 70.8 vs 56.9.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightOpenAI vs Meta.

GPT-6 Astra vs Muse Spark Open benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGPT-6 AstraMuse Spark Open
Overall Score70.856.9
Leaderboard Rank#8#27
ACB64.5—
RWT9.57.5
Coding Agent Index67.0—
HLE57.243.9
GPQA96.089.0
Terminal-Bench59.1—
DeepSWE73.2—
GDPval-AA1629.31401.1
MCP Atlas—89.2
Finance Agent53.5—
MMMU-Pro87.080.9
ARC-AGI 295.0—
MRCR100.0—
Input Price (per 1M tokens)$10.0—
Output Price (per 1M tokens)$50.0—
Context Window1.05M1M
Benchmarks Published138

GPT-6 Astra vs Muse Spark Open head-to-head charts

GPT-6 Astra leads 6 and Muse Spark Open leads 0 of 6 shared benchmarks. Charts show only benchmarks both models publish.

GPT-6 AstraMuse Spark Open
Overall
70.8GPT-6 Astra
56.9Muse Spark Open
RWT
9.5GPT-6 Astra
7.5Muse Spark Open
HLE
57.2GPT-6 Astra
43.9Muse Spark Open
GPQA
96.0GPT-6 Astra
89.0Muse Spark Open
GDPval-AA
1629.3GPT-6 Astra
1401.1Muse Spark Open
MMMU-Pro
87.0GPT-6 Astra
80.9Muse Spark Open
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
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 GPT-6 Astra and Muse Spark Open comparisons

Explore how GPT-6 Astra and Muse Spark Open stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

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.