Model comparison
GPT-5.4 mini vs Llama 3.1-405B
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.7 on the Noometry Index.
Last verified . 25 shared benchmarks.
MetaSummary
- They share 25 benchmarks with published results for both. GPT-5.4 mini scores higher in 9 categories and Llama 3.1-405B in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where GPT-5.4 mini leads 45.5 to 18.4.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for GPT-5.4 mini and 9.7% for Llama 3.1-405B.
- Llama 3.1-405B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Llama 3.1-405B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.0 | 30.7 |
| Released | 2026-03-17 | 2024-07-23 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 42 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Llama 3.1-405B: 33.1 (#262)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| WeirdML | 60.3% | 21.4% |
| LMArena Coding | 1438 | 1291 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use GPT-5.4 mini leads
GPT-5.4 mini: 29.9 (#81), Llama 3.1-405B: 21.0 (#140)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| TheAgentCompany | — | 7.4% |
| Cybench | — | 7.5% |
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Llama 3.1-405B: 16.8 (#300)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| Kagi LLM Benchmark | 37.9% | 45% |
| LMArena Hard Prompts | 1424 | 1269 |
| DTBench | 80% | 61.4% |
| Epoch Capabilities Index | 148.84 | 128.75 |
| ForecastBench | 57 | 59.9 |
| ARC-AGI-2 | 18.9% | — |
| SimpleBench | — | 23% |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Chess Puzzles | 24% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| LMCA | 40.8% | — |
| BIG-Bench Hard | — | 82.9% |
| HellaSwag | — | 89.2% |
| PIQA | — | 85.9% |
| WinoGrande | — | 89.2% |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Llama 3.1-405B: 18.4 (#290)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 9.7% |
| LMArena Math | 1419 | 1281 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| ProofBench | 21% | — |
| Omni-MATH | — | 24.9% |
| MATH Level 5 | — | 49.8% |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Llama 3.1-405B: 30.4 (#227)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| GPQA Diamond | 86.9% | 50.9% |
| LMArena Expert | 1435 | 1243 |
| SimpleQA Verified | 29.4% | — |
| MMLU-Pro | — | 72.3% |
| Confabulations | — | 17.6% |
| Vectara Hallucination Rate | 5.5% | — |
| GPQA (HELM) | — | 52.2% |
| ARC (AI2) Challenge | — | 95.3% |
| MMLU | — | 84.5% |
| TriviaQA | — | 82.7% |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Llama 3.1-405B: —
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), Llama 3.1-405B: 40.7 (#214)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| LMArena Non-English | 1405 | 1248 |
| LMArena Chinese | 1446 | 1242 |
| LMArena French | 1440 | 1279 |
| LMArena German | 1409 | 1252 |
| LMArena Japanese | 1374 | 1208 |
| LMArena Korean | 1368 | 1184 |
| LMArena Russian | 1417 | 1265 |
| LMArena Spanish | 1405 | 1260 |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), Llama 3.1-405B: 65.9 (#214)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1259 |
| IFEval | — | 81.1% |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 43.0 (#112), Llama 3.1-405B: 38.4 (#197)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| LMArena Longer Query | 1407 | 1266 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Llama 3.1-405B: 38.9 (#251)
| Benchmark | GPT-5.4 mini | Llama 3.1-405B |
|---|---|---|
| LMArena Text | 1412 | 1284 |
| LMArena Creative Writing | 1370 | 1262 |
| EQ-Bench Creative Writing | 1665 | 870 |
| LMArena Multi-Turn | 1429 | 1297 |
| WildBench | — | 78.3% |
Frequently asked questions
Is GPT-5.4 mini better than Llama 3.1-405B?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 30.7 on the Noometry Index.
Is GPT-5.4 mini or Llama 3.1-405B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 33.1 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and Llama 3.1-405B share?
25 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Llama 3.1-405B has 42.