BenchLeader

GPT-6 Astra vs Muse Spark Open

As of 18 Oct 2026, GPT-6 Astra (max) leads on quality (69.7 vs 61.2 on the BenchLeader Index), but Muse Spark Open (xhigh) costs 10× less, so it is the better buy unless you need the extra quality.

Key differences

  • GPT-6 Astra (max) leads on quality: 69.7 vs 61.2.
  • GPT-6 Astra (max) is stronger in agents & tools, coding, composite, human preference, knowledge, long context, maths, multimodal, reasoning.
  • Muse Spark Open (xhigh) is 10× cheaper ($2.00 vs $20.00 per 1M blended).
  • Muse Spark Open (xhigh) streams 2.2× faster (140 vs 65 tokens per second).

Choose GPT-6 Astra (max) if

  • reasoning is the priority (76 vs 66 on the category score)
  • knowledge is the priority (79 vs 73 on the category score)
  • multimodal is the priority (66 vs 64 on the category score)

Choose Muse Spark Open (xhigh) if

  • cost matters: $2.00 against $20.00 per million tokens blended
  • you need fast output: 140 against 65 tokens per second
  • the wait for the first word matters: 15.0 s against 285.2 s to first answer
  • you want to run it yourself: its weights are open

Category by category

Category scores on the BenchLeader scale: 50 is the average evaluated model, 15 points is one standard deviation. A gap under one point is called level.

CategoryGPT-6 Astra (max)Muse Spark Open (xhigh)Leader
Reasoning76.265.5GPT-6 Astra
Coding74.2–not comparable
Agents & tools64.5–not comparable
Maths71.9–not comparable
Knowledge79.472.5GPT-6 Astra
Human preference67.1–not comparable
Multimodal66.264.1GPT-6 Astra
Long context65.464.2GPT-6 Astra
Composite79.873.1GPT-6 Astra

Price, speed and latency

List prices blended at three input tokens per output token. Per-task prices use the token counts on the methodology page; suite cost is what Artificial Analysis paid to run its whole Intelligence Index.

MeasureGPT-6 Astra (max)Muse Spark Open (xhigh)
Blended price per 1M tokens$20.00$2.00
Input / output per 1M$10.00 / $50.00$1.25 / $4.25
Price per task: chat reply$0.019$0.0018
Price per task: summarise a 30-page report$0.150$0.018
Price per task: code edit$0.135$0.014
Price per task: agentic coding session$0.800$0.092
Price per task: structured extraction$0.030$0.0034
Cost to run a full benchmark suite$3.26$0.844
Output speed65 tok/s140 tok/s
Time to first answer285.2 s15.0 s
Time to a complete answer292.9 s18.6 s

Every benchmark

MetricGPT-6 Astra (max)Muse Spark Open (xhigh)
BenchLeader Index69.761.2
Agents & tools score64.5–
Coding score74.2–
Composite score79.873.1
Human preference score67.1–
Knowledge score79.472.5
Long context score65.464.2
Maths score71.9–
Multimodal score66.264.1
Reasoning score76.265.5
Blended price $/M$20.00$2.00
Output speed65 tok/s140 tok/s
Time to first answer285.2 s15.0 s
Context window1.1M1.0M
GPQA Diamond95.8%–
FrontierMath Tiers 1–393.7%–
FrontierMath Tier 497.6%–
OTIS Mock AIME100.0%–
SimpleQA Verified75.6%–
Terminal-Bench58.2%–
SciCode56.5%–
WeirdML93.3%–
FrontierCode53.3%–
Arena Text1477–
Arena Hard Prompts1502–
Arena Coding1543–
Arena WebDev1777–
Arena Vision1281–
Arena Agent14.1–
LiveBench82.2%–
LiveBench Reasoning92.7%–
LiveBench Coding80.4%–
LiveBench Agentic Coding57.3%–
LiveBench Mathematics96.8%–
LiveBench Data Analysis83.0%–
LiveBench Language89.4%–
LiveBench Instruction Following75.6%–
AA Intelligence Index v4.3.252.738.9
AA-LCR80.7%78.3%
MMMU-Pro86.9%80.9%
AA-Omniscience43.424.6
GPQA Diamond (AA)96.1%89.0%
Humanity's Last Exam (AA)54.7%43.9%
SciCode (AA)56.5%58.5%
IOI100.0%–
Terminal-Bench 2.1 (Vals)87.3%–
Vals Index63.146.6
ARC-AGI-197.5%–
ARC-AGI-295.0%–
ARC-AGI-398.6%–
CritPt31.7%14.9%
GDPval-AA v2.153.6%45.1%
τ³-Banking (AA)41.4%–
ITBench SRE (AA)48.6%–
Analyst Agent (AA)51.3%–
BioMysteryBench79.3%–
Code Migration67.7%21.2%
CUA-bench19.2%–
CyberBench41.1%–
Excel Modeling Benchmark71.7%53.7%
Finance Agent v253.5%61.3%
Harvey's Legal Agent Benchmark5.4%16.7%
Legal Research Bench39.4%38.5%
MedCode48.5%–
MedScribe87.9%–
MysteryMechanism53.1%–
ProgramBench5.5%–
SAGE46.4%–
SREBench56.9%–
Tax Agent Bench20.7%26.3%
Terminal-Bench 4.0 (Vals)59.6%6.6%
Terminal-Bench Science62.9%–
Time Horizon Index: KSP90.5%–
Vibe Code Bench 1-10027.6%–
Vibe Code Bench v1.189.6%76.2%
DrugDiscoveryBench68.7%–
Arena Maths1486–
Arena Creative Writing1450–
Arena Instruction Following1473–
Arena Multi-turn1486–
Arena Longer Queries1489–
Arena Search1246–
Arena Document1473–
Chess Puzzles74.0%–
EBR-bench76.2%–
Mystery Game Puzzles84.0%–
BALROG68.3%–
DeepSWE v1.173.2%–
ALE-Bench2951.3–
GDP.pdf34.2%–
FrontierSWE65.5%–
Terminal-Bench 4.0 (AA)59.1%8.1%
Terminal-Bench 2.1 (AA)88.4%76.4%
AutomationBench68.5%49.7%
GDP.pdf31.0%18.6%
MLCR35.0%–
Harvey LAB-AA v1.18.6%–
AA-Omniscience: accuracy62.6%39.3%
AA-Omniscience: non-hallucination48.7%75.9%
AA-Briefcase v1.115691279
FrontierCode 1.1 (AA)47.0%–
Terminal-Bench-Science 0.1 (AA)63.3%–
AA Cyber Index3342.0%–
CWE-Bench (AA)63.3%–
DeepSec-Bench (AA)36.9%–
CyberGym end-to-end (AA)0.0%–
AA-3D1166–
AA Openness Index–27.8

Data as of 2026-10-18. Best configuration of each model; every score links to its source on the model pages.

GPT-6 Astra vs Muse Spark Open: questions

Is GPT-6 Astra better than Muse Spark Open?
GPT-6 Astra (max) leads on quality: 69.7 vs 61.2. The BenchLeader Index combines every independent quality benchmark; GPT-6 Astra (max) is ahead overall as of 2026-10-18, but check the category scores for your use.
Which is cheaper, GPT-6 Astra or Muse Spark Open?
Muse Spark Open is cheaper: $2.00 against $20.00 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-6 Astra or Muse Spark Open?
Muse Spark Open streams faster: 140 against 65 output tokens per second.
Which has the larger context window?
GPT-6 Astra accepts more context: 1.1M against 1.0M tokens.