GPT-5.3 Codex vs Muse Spark
Head-to-head comparison across 2benchmark categories. Overall scores shown here use BenchLM's provisional ranking lane.
Verdict
GPT-5.3 Codex leads for most workloads.
Based on BenchLM composite scores, July 2026.
GPT-5.3 Codex
82
Muse Spark
76
Pick GPT-5.3 Codex if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
Category Radar
Head-to-Head by Category
Category Breakdown
| Benchmark | GPT-5.3 Codex | Δ | Muse Spark |
|---|---|---|---|
| Agentic | 71.4 | ← 12.4 | 59.0 |
| Coding | 64.4 | ← 2.7 | 61.7 |
| Reasoning | — | — | 42.5 |
| Knowledge | — | — | 50.4 |
| Multimodal | — | — | 82.5 |
Operational Comparison
GPT-5.3 Codex
Muse Spark
$1.75 / $14
N/A
79 t/s
N/A
88.26s
N/A
400K
262K
Quick Verdict
Pick GPT-5.3 Codex if you want the stronger benchmark profile. Muse Spark only becomes the better choice if its workflow or ecosystem matters more than the raw scoreboard.
GPT-5.3 Codex is clearly ahead on the provisional aggregate, 82 to 76. The gap is large enough that you do not need to squint at the spreadsheet to see the difference.
GPT-5.3 Codex's sharpest advantage is in agentic, where it averages 71.4 against 59. The single biggest benchmark swing on the page is Terminal-Bench 2.0, 77.3% to 59%.
GPT-5.3 Codex gives you the larger context window at 400K, compared with 262K for Muse Spark.
Benchmark Deep Dive
Frequently Asked Questions (3)
Which is better, GPT-5.3 Codex or Muse Spark?
GPT-5.3 Codex is ahead on BenchLM's provisional leaderboard, 82 to 76. The biggest single separator in this matchup is Terminal-Bench 2.0, where the scores are 77.3% and 59%.
Which is better for coding, GPT-5.3 Codex or Muse Spark?
GPT-5.3 Codex has the edge for coding in this comparison, averaging 64.4 versus 61.7. Inside this category, Vibe Code Bench is the benchmark that creates the most daylight between them.
Which is better for agentic tasks, GPT-5.3 Codex or Muse Spark?
GPT-5.3 Codex has the edge for agentic tasks in this comparison, averaging 71.4 versus 59. Inside this category, Terminal-Bench 2.0 is the benchmark that creates the most daylight between them.
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