Comparing 2 models

Muse Spark 1.2 vs GPT-6 Astra

Benchmarks through

Verdict

Muse Spark 1.2 places higher on 1 of the 1 tasks where both are ranked. Muse Spark 1.2 costs 8.0x less per input token. GPT-6 Astra accepts 1.0x more context.

  • Choose Muse Spark 1.2 for Image Understanding (#3).

Built from the published task rankings below; ranks come from each task's own weighted benchmarks, so a win on one task says nothing about another.

metric
Model 1Muse Spark 1.2
Model 2GPT-6 Astra
Best for
Document Parsing (#3)
Computer & Browser Use (#2)
Provider
meta
openai
Context
1.0M
1.1MBest
Input / 1M
$1.25Best
$10
Output / 1M
$4.25Best
$50
Tool use
yesBest
yesBest
Vision
yesBest
yesBest
Reasoning
yesBest
yesBest
Open-weight
—
—
Released
Aug 5, 2026
Sep 3, 2026

Measured head to head

Benchmarks both models were run on

EvaluationMuse Spark 1.2GPT-6 AstraSource
LiveBench Agentic Coding57.6%57.3%source · 2026-10-18
LiveBench Coding77.5%80.4%source · 2026-10-18
LiveBench Data Analysis76.5%83.0%source · 2026-10-18
LiveBench Instruction Following74.3%75.6%source · 2026-10-18
LiveBench Language78.6%89.4%source · 2026-10-18
LiveBench Math91.2%96.8%source · 2026-10-18
LiveBench Reasoning90%92.7%source · 2026-10-18
LMArena Agent-6.715.1source · 2026-10-19
LMArena Agent Bash Recovery5.85.5source · 2026-10-08
LMArena Agent Steerability-8.515.5source · 2026-10-19
LMArena Agent Task Outcome-8.512.8source · 2026-10-19
LMArena Agent Tool Hallucination0.30.7source · 2026-10-19
LMArena Creative Writing1440 Elo1421 Elosource · 2026-10-15
LMArena Instruction Following1462 Elo1455 Elosource · 2026-10-15
LMArena Long Query1476 Elo1461 Elosource · 2026-10-15
LMArena Math1476 Elo1465 Elosource · 2026-10-15
LMArena Text1493 Elo1477 Elosource · 2026-10-15
LMArena Text Factuality1481 Elo1466 Elosource · 2026-10-15
LMArena Vision1293 Elo1285 Elosource · 2026-10-19
LMArena Vision Diagrams1316 Elo1310 Elosource · 2026-10-19
LMArena Vision OCR1307 Elo1299 Elosource · 2026-10-19
LMArena WebDev1534 Elo1774 Elosource · 2026-10-19
SimpleQA Verified (Epoch AI)60.3% ± 1.675.6% ± 1.4source · 2026-08-27

Values are as published by each evaluator, in its own units; rows from different evaluators are not on a common scale.