Model comparison
GPT-5.1-Codex vs Muse Spark 1.1
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.6 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-5.1-Codex scores higher in 1 category and Muse Spark 1.1 in 2 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in math, where Muse Spark 1.1 leads 45.5 to 30.3.
- The biggest single-benchmark swing is ProofBench: 9% for GPT-5.1-Codex and 39% for Muse Spark 1.1.
- Muse Spark 1.1 is cheaper at $1.25 / $4.25 per million input/output tokens, against $1.25 / $10 for GPT-5.1-Codex.
- Muse Spark 1.1 accepts more context: 1.05M tokens versus 400K.
Side by side
| GPT-5.1-Codex | Muse Spark 1.1 | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 38.6 | 49.9 |
| Released | 2025-11-12 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | 1.05M |
| Max output | 128K | 131K |
| Input $ / M tokens | $1.25 | $1.25 |
| Output $ / M tokens | $10 | $4.25 |
| Results tracked | 6 | 37 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Muse Spark 1.1 leads
GPT-5.1-Codex: 41.9 (#116), Muse Spark 1.1: 51.3 (#40)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena WebDev | 1337 | 1542 |
| DeepSWE | — | 53.3% |
| SWE-bench Verified (bash only) | 66% | — |
| SciCode | — | 58.8% |
| LMArena Coding | — | 1498 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use GPT-5.1-Codex leads
GPT-5.1-Codex: 38.0 (#33), Muse Spark 1.1: 30.8 (#73)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| APEX-Agents | — | 31.8% |
| τ²-bench Banking | — | 40.5% |
| GBAEval | — | 7.9% |
| GDP.pdf | — | 15% |
| METR Time Horizons | 70.8% | — |
| Vending-Bench 2 | — | 6,520 |
Reasoning Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 47.1 (#44)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| NYT Connections (extended) | — | 84.9% |
| CritPt | — | 15.1% |
| LMArena Hard Prompts | — | 1486 |
| DTBench | — | 94.4% |
| LMCA | — | 49.9% |
| Surface Evolver Bench | — | 52.5% |
| Epoch Capabilities Index | — | 154.21 |
Math Muse Spark 1.1 leads
GPT-5.1-Codex: 30.3 (#235), Muse Spark 1.1: 45.5 (#76)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| ProofBench | 9% | 39% |
| LMArena Math | — | 1483 |
Knowledge Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 53.1 (#59)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| SimpleQA Verified | — | 57.8% |
| LMArena Expert | — | 1478 |
Multimodal Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 42.6 (#29)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena Vision | — | 1293 |
| LMArena Document | — | 1465 |
Multilingual Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 56.7 (#17)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena Non-English | — | 1472 |
| LMArena Chinese | — | 1518 |
| LMArena French | — | 1494 |
| LMArena German | — | 1466 |
| LMArena Japanese | — | 1451 |
| LMArena Korean | — | 1458 |
| LMArena Russian | — | 1483 |
| LMArena Spanish | — | 1464 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 76.5 (#39)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena Instruction Following | — | 1457 |
Long Context Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 44.8 (#58)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena Longer Query | — | 1462 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Muse Spark 1.1: 73.4 (#11)
| Benchmark | GPT-5.1-Codex | Muse Spark 1.1 |
|---|---|---|
| LMArena Text | — | 1479 |
| LMArena Creative Writing | — | 1437 |
| EQ-Bench Creative Writing | — | 1927 |
| EQ-Bench 4 | — | 1260 |
| LMArena Multi-Turn | — | 1485 |
Frequently asked questions
Is GPT-5.1-Codex better than Muse Spark 1.1?
Muse Spark 1.1 is the stronger model overall, scoring 49.9 to 38.6 on the Noometry Index.
Which is cheaper, GPT-5.1-Codex or Muse Spark 1.1?
Muse Spark 1.1 is cheaper. It lists at $1.25 per million input tokens and $4.25 per million output tokens; GPT-5.1-Codex lists at $1.25 and $10.
Is GPT-5.1-Codex or Muse Spark 1.1 better for coding?
Muse Spark 1.1 scores higher on coding benchmarks: 51.3 versus 41.9 in the Noometry coding category.
Which has the bigger context window?
Muse Spark 1.1 does, with 1.05M tokens against 400K.
How many benchmarks do GPT-5.1-Codex and Muse Spark 1.1 share?
2 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Muse Spark 1.1 has 37.