Model comparison
GPT-5 Nano vs Muse Spark
Muse Spark is the stronger model overall, scoring 50.6 to 33.5 on the Noometry Index.
Last verified . 22 shared benchmarks.
MetaSummary
- They share 22 benchmarks with published results for both. GPT-5 Nano scores higher in 0 categories and Muse Spark in 9 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Muse Spark leads 65.7 to 35.9.
- The biggest single-benchmark swing is GPQA Diamond: 69.4% for GPT-5 Nano and 89.8% for Muse Spark.
Side by side
| GPT-5 Nano | Muse Spark | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 33.5 | 50.6 |
| Released | 2025-08-07 | 2026-04-08 |
| Weights | Proprietary | Proprietary |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.05 | — |
| Output $ / M tokens | $0.40 | — |
| Results tracked | 49 | 27 |
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Category by category
Coding Muse Spark leads
GPT-5 Nano: 33.6 (#254), Muse Spark: 46.2 (#69)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Coding | 1351 | 1481 |
| SWE-bench Verified (bash only) | 34.8% | — |
| SciCode | — | 51.5% |
| WeirdML | 38.1% | — |
| ALE-Bench | 718.67 | — |
Agentic & Tool Use Not comparable
GPT-5 Nano: 25.8 (#106), Muse Spark: —
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| Terminal-Bench | 21.8% | — |
| Berkeley Function Calling Leaderboard | 51.5% | — |
Reasoning Muse Spark leads
GPT-5 Nano: 16.3 (#306), Muse Spark: 35.9 (#67)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Hard Prompts | 1328 | 1474 |
| Epoch Capabilities Index | 139.38 | 152.04 |
| ARC-AGI-2 | 2.6% | — |
| Kagi LLM Benchmark | 62.2% | — |
| ARC-AGI-1 | 20.7% | — |
| CritPt | — | 11.3% |
| Chess Puzzles | 27% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 62.7% | — |
| LMCA | 7.9% | — |
| ForecastBench | 59.1 | — |
Math Muse Spark leads
GPT-5 Nano: 29.4 (#241), Muse Spark: 47.8 (#66)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 81.1% | 88.9% |
| ProofBench | 12% | 17% |
| LMArena Math | 1317 | 1455 |
| FrontierMath (Feb 2025 set) | 8.3% | 39% |
| FrontierMath Tier 4 (v1) | 2.1% | 14.6% |
| FrontierMath (Tiers 1-3) | 20% | — |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | 54.6% | — |
| MATH Level 5 | 95.2% | — |
Knowledge Muse Spark leads
GPT-5 Nano: 35.9 (#178), Muse Spark: 65.7 (#13)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| GPQA Diamond | 69.4% | 89.8% |
| LMArena Expert | 1321 | 1457 |
| Humanity's Last Exam | — | 40.6% |
| SimpleQA Verified | 11.7% | — |
| MMLU-Pro | 77.8% | — |
| Vectara Hallucination Rate | 10.5% | — |
| GPQA (HELM) | 67.9% | — |
Multimodal Muse Spark leads
GPT-5 Nano: 31.3 (#108), Muse Spark: 43.4 (#24)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Vision | 1159 | 1306 |
| VPCT | 37.2% | — |
| LMArena Document | — | 1444 |
Multilingual Muse Spark leads
GPT-5 Nano: 45.3 (#172), Muse Spark: 56.1 (#24)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Non-English | 1313 | 1464 |
| LMArena Chinese | 1356 | 1509 |
| LMArena German | 1327 | 1497 |
| LMArena Korean | 1269 | 1459 |
| LMArena Russian | 1296 | 1466 |
| LMArena Spanish | 1360 | 1472 |
| LMArena French | — | 1497 |
| LMArena Japanese | 1226 | — |
Instruction Following Too close to call
GPT-5 Nano: 75.0 (#79), Muse Spark: 75.9 (#51)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Instruction Following | 1306 | 1442 |
| IFEval | 93.2% | — |
Long Context Muse Spark leads
GPT-5 Nano: 31.3 (#281), Muse Spark: 44.4 (#69)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Longer Query | 1312 | 1451 |
| Fiction.LiveBench | 44.4% | — |
Writing & Preference Muse Spark leads
GPT-5 Nano: 39.1 (#249), Muse Spark: 66.0 (#39)
| Benchmark | GPT-5 Nano | Muse Spark |
|---|---|---|
| LMArena Text | 1320 | 1474 |
| LMArena Creative Writing | 1249 | 1459 |
| LMArena Multi-Turn | 1311 | 1477 |
| EQ-Bench Creative Writing | 705 | — |
| WildBench | 80.6% | — |
Frequently asked questions
Is GPT-5 Nano better than Muse Spark?
Muse Spark is the stronger model overall, scoring 50.6 to 33.5 on the Noometry Index.
Is GPT-5 Nano or Muse Spark better for coding?
Muse Spark scores higher on coding benchmarks: 46.2 versus 33.6 in the Noometry coding category.
How many benchmarks do GPT-5 Nano and Muse Spark share?
22 benchmarks have published results for both models. GPT-5 Nano has 49 scored results on Noometry and Muse Spark has 27.