Benchmark scores
Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.
LLM Comparison
Muse Spark 1.3 vs GPT-5.3 Codex: benchmark scores, pricing & comparison.
Side-by-side Muse Spark 1.3 vs GPT-5.3 Codex 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 #8 vs #30AskClash overall scores 66.7 vs 56.6.
Pricing $1.25/$4.25 vs $1.75/$14.0Input and output token prices per 1M tokens when published.
Proprietary vs ProprietaryMeta vs OpenAI.
Muse Spark 1.3 vs GPT-5.3 Codex benchmark comparison
Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.
| Metric | Muse Spark 1.3 | GPT-5.3 Codex |
|---|---|---|
| Overall Score | 66.7 | 56.6 |
| Leaderboard Rank | #8 | #30 |
| ACB | 62.6 | — |
| RWT | 7.5 | 8.0 |
| Coding Agent Index | 54.3 | — |
| HLE | 49.1 | 42.5 |
| GPQA | 93.8 | 91.5 |
| IFEval | — | 75.4 |
| SWE-bench | — | 85.0 |
| SWE-Pro | — | 56.8 |
| SWE-Atlas | 59.4 | — |
| Terminal-Bench | 88.8 | 77.3 |
| DeepSWE | 75.4 | — |
| GDPval-AA | 1754.0 | — |
| OSWorld | — | 64.7 |
| Finance Agent | 58.9 | — |
| MMMU-Pro | — | 78.5 |
| Tau2 | — | 86.0 |
| MRCR | 98.1 | — |
| Input Price (per 1M tokens) | $1.25 | $1.75 |
| Output Price (per 1M tokens) | $4.25 | $14.0 |
| Context Window | 1M | 400K |
| Benchmarks Published | 11 | 10 |
Muse Spark 1.3 vs GPT-5.3 Codex head-to-head charts
Muse Spark 1.3 leads 4 and GPT-5.3 Codex leads 1 of 5 shared benchmarks. Muse Spark 1.3 is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.
Muse Spark 1.3GPT-5.3 Codex
Overall
RWT
HLE
GPQA
Terminal-Bench
Muse Spark 1.3
Input$1.25
Output$4.25
Workload$2.10
Context1M
GPT-5.3 Codex
Input$1.75
Output$14.0
Workload$4.55
Context400K
Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.
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How to read this comparison
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.