Model comparison
GPT-5.4 nano vs Muse Glimmer
GPT-5.4 nano and Muse Glimmer score almost the same on the Noometry Index (41.9 vs 41.3), so choose on price, context window or the category you care about most.
Last verified . 12 shared benchmarks.
MetaSummary
- They share 12 benchmarks with published results for both. GPT-5.4 nano scores higher in 3 categories and Muse Glimmer in 5 categories; 6 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 nano leads 40.7 to 36.1.
- Muse Glimmer has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 nano | Muse Glimmer | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 41.9 | 41.3 |
| Released | 2026-03-17 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.20 | — |
| Output $ / M tokens | $1.25 | — |
| Results tracked | 40 | 13 |
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Category by category
Coding GPT-5.4 nano leads
GPT-5.4 nano: 43.1 (#82), Muse Glimmer: 38.7 (#157)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Coding | 1404 | 1417 |
| LMArena WebDev | — | 1355 |
| SciCode | 46.9% | — |
| WeirdML | 49.2% | — |
| ALE-Bench | 1,005 | — |
Reasoning Muse Glimmer leads
GPT-5.4 nano: 23.8 (#159), Muse Glimmer: 27.2 (#111)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Hard Prompts | 1380 | 1395 |
| ARC-AGI-2 | 5.7% | — |
| Kagi LLM Benchmark | 39.7% | — |
| ARC-AGI-1 | 51.5% | — |
| CritPt | 9.3% | — |
| Chess Puzzles | 30% | — |
| Mystery Game Puzzles | 9% | — |
| DTBench | 80.3% | — |
| LMCA | 36.9% | — |
| Epoch Capabilities Index | 145.78 | — |
| ForecastBench | 57.3 | — |
Math GPT-5.4 nano leads
GPT-5.4 nano: 40.7 (#76), Muse Glimmer: 36.1 (#128)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Math | 1406 | 1419 |
| FrontierMath (Tiers 1-3) | 44.9% | — |
| FrontierMath Tier 4 | 12.2% | — |
| OTIS Mock AIME 2024-2025 | 87.8% | — |
| ProofBench | 5% | — |
| FrontierMath (Feb 2025 set) | 25.9% | — |
| FrontierMath Tier 4 (v1) | 6.3% | — |
Knowledge GPT-5.4 nano leads
GPT-5.4 nano: 41.8 (#94), Muse Glimmer: 37.9 (#140)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Expert | 1397 | 1388 |
| GPQA Diamond | 78.5% | — |
| SimpleQA Verified | 11.7% | — |
| Vectara Hallucination Rate | 3.1% | — |
Multimodal Not comparable
GPT-5.4 nano: 36.0 (#73), Muse Glimmer: —
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Vision | 1196 | — |
Multilingual Muse Glimmer leads
GPT-5.4 nano: 48.8 (#136), Muse Glimmer: 50.6 (#117)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Non-English | 1359 | 1384 |
| LMArena Chinese | 1391 | 1412 |
| LMArena Russian | 1363 | 1393 |
| LMArena French | 1396 | — |
| LMArena German | 1368 | — |
| LMArena Japanese | 1342 | — |
| LMArena Korean | 1321 | — |
| LMArena Spanish | 1368 | — |
Instruction Following Too close to call
GPT-5.4 nano: 72.1 (#139), Muse Glimmer: 72.7 (#134)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Instruction Following | 1362 | 1374 |
Long Context Too close to call
GPT-5.4 nano: 41.6 (#131), Muse Glimmer: 42.1 (#124)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Longer Query | 1365 | 1381 |
Writing & Preference Muse Glimmer leads
GPT-5.4 nano: 55.9 (#137), Muse Glimmer: 57.7 (#122)
| Benchmark | GPT-5.4 nano | Muse Glimmer |
|---|---|---|
| LMArena Text | 1372 | 1389 |
| LMArena Creative Writing | 1313 | 1338 |
| LMArena Multi-Turn | 1382 | 1398 |
Frequently asked questions
Is GPT-5.4 nano better than Muse Glimmer?
GPT-5.4 nano and Muse Glimmer score almost the same on the Noometry Index (41.9 vs 41.3), so choose on price, context window or the category you care about most.
Is GPT-5.4 nano or Muse Glimmer better for coding?
GPT-5.4 nano scores higher on coding benchmarks: 43.1 versus 38.7 in the Noometry coding category.
How many benchmarks do GPT-5.4 nano and Muse Glimmer share?
12 benchmarks have published results for both models. GPT-5.4 nano has 40 scored results on Noometry and Muse Glimmer has 13.