BenchLeader

GPT-5.3-Codex vs Muse Spark 1.2

Verdict
  • GPT-5.3-Codex and Muse Spark 1.2 are level on quality (62.5 vs 62.7).
  • GPT-5.3-Codex is stronger in agents & tools, instruction following, long context, multimodal.
  • Muse Spark 1.2 is stronger in coding, composite, knowledge, maths, reasoning.
  • Muse Spark 1.2 is 2.4× cheaper ($2.00 vs $4.81 per 1M blended).
  • Muse Spark 1.2 streams 1.6× faster (193 vs 121 tokens per second).
MetricGPT-5.3-CodexMuse Spark 1.2
BenchLeader Index62.562.7
Agents & tools score62.7
Coding score54.866.5
Composite score70.179.3
Instruction following score73.2
Knowledge score69.377.1
Long context score68.366.0
Multimodal score63.0
Maths score54.3
Reasoning score70.7
Blended price $/M$4.81$2.00
Output speed121 tok/s193 tok/s
Time to first answer58.2 s23.4 s
Context window400k1.0M
Terminal-Bench78.4%
SimpleBench74.5%
WeirdML79.3%
APEX-Agents31.8%
ProofBench43.0%
Epoch Capabilities Index156.6155.5
LMArena WebDev1409
AA Intelligence Index32.539.8
IFBench75.4%
AA-LCR83.3%79.0%
MMMU-Pro78.5%
AA-Omniscience10.927.2
Terminal-Bench Hard53.0%
GPQA Diamond (AA)91.5%90.4%
Humanity's Last Exam (AA)42.5%45.5%
SciCode (AA)57.4%
τ²-Bench Telecom (AA)86.0%
IOI49.5%
HiL-Bench4.3%

Data as of 2026-09-10. Best configuration of each model; every score links to its source on the model pages.

GPT-5.3-Codex vs Muse Spark 1.2: questions

Is GPT-5.3-Codex better than Muse Spark 1.2?
GPT-5.3-Codex and Muse Spark 1.2 are level on quality (62.5 vs 62.7). The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.2 is ahead overall as of 2026-09-10, but check the category scores for your use.
Is GPT-5.3-Codex better than Muse Spark 1.2 for coding?
Muse Spark 1.2 scores higher in coding (67 vs 55 on the category index, where 50 is average).
Which is cheaper, GPT-5.3-Codex or Muse Spark 1.2?
Muse Spark 1.2 is cheaper: $2.00 against $4.81 per million tokens, blended at three input tokens per output token.
Which is faster, GPT-5.3-Codex or Muse Spark 1.2?
Muse Spark 1.2 streams faster: 193 against 121 output tokens per second.
Which has the larger context window?
Muse Spark 1.2 accepts more context: 1.0M against 400k tokens.