GPT-5-Codex vs Muse Spark 1.3
GPT-5-Codex 
Muse Spark 1.3 Verdict
- Muse Spark 1.3 leads on quality: 68.3 vs 58.4.
- GPT-5-Codex is stronger in agents & tools, coding, instruction following, multimodal, reasoning.
- Muse Spark 1.3 is stronger in composite, knowledge, long context.
- Muse Spark 1.3 is 1.7× cheaper ($2.00 vs $3.44 per 1M blended).
| Metric | GPT-5-Codex | Muse Spark 1.3 |
|---|---|---|
| BenchLeader Index | 58.4 | 68.3 |
| Agents & tools score | 56.4 | – |
| Coding score | 53.6 | – |
| Composite score | 60.7 | 90.3 |
| Instruction following score | 72.6 | – |
| Knowledge score | 60.8 | 79.1 |
| Long context score | 62.4 | 68.2 |
| Multimodal score | 58.4 | – |
| Reasoning score | 64.3 | – |
| Blended price $/M | $3.44 | $2.00 |
| Output speed | – | 241 tok/s |
| Time to first answer | – | 30.5 s |
| Context window | 400k | 1.0M |
| Terminal-Bench | 44.3% | – |
| WeirdML | 54.5% | – |
| AA Intelligence Index | 24.9 | 48.2 |
| IFBench | 74.2% | – |
| AA-LCR | 71.7% | 83.0% |
| MMMU-Pro | 73.8% | – |
| AA-Omniscience | -7.5 | 25 |
| Terminal-Bench Hard | 37.9% | – |
| GPQA Diamond (AA) | 83.7% | 93.5% |
| Humanity's Last Exam (AA) | 27.9% | 48.7% |
| SciCode (AA) | – | 58.8% |
| τ²-Bench Telecom (AA) | 86.8% | – |
| PRBench Finance | – | 59.5% |
| PRBench Legal | – | 61.6% |
| Kagi LLM Benchmark | 70.3% | – |
Data as of 2026-09-14. Best configuration of each model; every score links to its source on the model pages.
GPT-5-Codex vs Muse Spark 1.3: questions
- Is GPT-5-Codex better than Muse Spark 1.3?
- Muse Spark 1.3 leads on quality: 68.3 vs 58.4. The BenchLeader Index combines every independent quality benchmark; Muse Spark 1.3 is ahead overall as of 2026-09-14, but check the category scores for your use.
- Which is cheaper, GPT-5-Codex or Muse Spark 1.3?
- Muse Spark 1.3 is cheaper: $2.00 against $3.44 per million tokens, blended at three input tokens per output token.
- Which has the larger context window?
- Muse Spark 1.3 accepts more context: 1.0M against 400k tokens.