LLM Comparison

GPT-6 Astra vs Muse Spark 1.3 Max: benchmark scores, pricing & comparison.

Side-by-side GPT-6 Astra vs Muse Spark 1.3 Max 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.

Rank #6 vs #24AskClash overall scores 73.3 vs 63.3.
Pricing $10.0/$50.0 vs —/—Input and output token prices per 1M tokens when published.
Proprietary vs Open WeightsOpenAI vs Meta.

GPT-6 Astra vs Muse Spark 1.3 Max benchmark comparison

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

MetricGPT-6 AstraMuse Spark 1.3 Max
Overall Score73.363.3
Leaderboard Rank#6#24
ACB64.562.6
RWT9.57.5
Coding Agent Index67.0
HLE57.248.7
GPQA96.093.5
SWE-Atlas61.8
Terminal-Bench88.4
DeepSWE73.2
GDPval-AA1629.31674.1
Finance Agent53.560.0
MMMU-Pro87.0
ARC-AGI 295.0
MRCR100.0
Input Price (per 1M tokens)$10.0
Output Price (per 1M tokens)$50.0
Context Window1.05M1M
Benchmarks Published148

GPT-6 Astra vs Muse Spark 1.3 Max head-to-head charts

GPT-6 Astra leads 5 and Muse Spark 1.3 Max leads 2 of 7 shared benchmarks. Charts show only benchmarks both models publish.

GPT-6 AstraMuse Spark 1.3 Max
Overall
73.3GPT-6 Astra
63.3Muse Spark 1.3 Max
ACB
64.5GPT-6 Astra
62.6Muse Spark 1.3 Max
RWT
9.5GPT-6 Astra
7.5Muse Spark 1.3 Max
HLE
57.2GPT-6 Astra
48.7Muse Spark 1.3 Max
GPQA
96.0GPT-6 Astra
93.5Muse Spark 1.3 Max
GDPval-AA
1629.3GPT-6 Astra
1674.1Muse Spark 1.3 Max
Finance Agent
53.5GPT-6 Astra
60.0Muse Spark 1.3 Max
GPT-6 Astra
Input$10.0
Output$50.0
Workload$20
Context1.05M
Muse Spark 1.3 Max
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 1.3 Max comparisons

Explore how GPT-6 Astra and Muse Spark 1.3 Max 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.