Model comparison
GPT-5.4 mini vs Llama 3-70B
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 28.8 on the Noometry Index.
Last verified . 23 shared benchmarks.
Summary
- They share 23 benchmarks with published results for both. GPT-5.4 mini scores higher in 9 categories and Llama 3-70B 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 12.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 88.9% for GPT-5.4 mini and 4.3% for Llama 3-70B.
- Llama 3-70B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Llama 3-70B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.0 | 28.8 |
| Released | 2026-03-17 | 2024-04-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 31 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Llama 3-70B: 35.8 (#218)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Coding | 1438 | 1206 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| BigCodeBench Instruct | — | 43.6% |
| BigCodeBench Complete | — | 54.5% |
| ALE-Bench | 1,189 | — |
| HumanEval+ | — | 72% |
| MBPP+ | — | 69% |
Agentic & Tool Use GPT-5.4 mini leads
GPT-5.4 mini: 29.9 (#81), Llama 3-70B: 21.1 (#139)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| Cybench | — | 5% |
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Llama 3-70B: 18.0 (#288)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| Kagi LLM Benchmark | 37.9% | 35.1% |
| LMArena Hard Prompts | 1424 | 1195 |
| DTBench | 80% | 54.2% |
| Epoch Capabilities Index | 148.84 | 122.93 |
| ForecastBench | 57 | 57.1 |
| ARC-AGI-2 | 18.9% | — |
| 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% | — |
| WinoGrande | — | 83.5% |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Llama 3-70B: 12.8 (#305)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 88.9% | 4.3% |
| LMArena Math | 1419 | 1218 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| ProofBench | 21% | — |
| MATH Level 5 | — | 22.6% |
| 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 3-70B: 20.8 (#277)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| GPQA Diamond | 86.9% | 40.6% |
| LMArena Expert | 1435 | 1149 |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
| MMLU | — | 79.3% |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Llama 3-70B: —
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Vision | 1245 | — |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), Llama 3-70B: 33.6 (#251)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Non-English | 1405 | 1142 |
| LMArena Chinese | 1446 | 1114 |
| LMArena French | 1440 | 1232 |
| LMArena German | 1409 | 1169 |
| LMArena Japanese | 1374 | 1017 |
| LMArena Korean | 1368 | 1017 |
| LMArena Russian | 1417 | 1159 |
| LMArena Spanish | 1405 | 1241 |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), Llama 3-70B: 62.5 (#238)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1194 |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 43.0 (#112), Llama 3-70B: 35.6 (#240)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Longer Query | 1407 | 1174 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Llama 3-70B: 42.8 (#231)
| Benchmark | GPT-5.4 mini | Llama 3-70B |
|---|---|---|
| LMArena Text | 1412 | 1221 |
| LMArena Creative Writing | 1370 | 1210 |
| LMArena Multi-Turn | 1429 | 1223 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than Llama 3-70B?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 28.8 on the Noometry Index.
Is GPT-5.4 mini or Llama 3-70B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 35.8 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and Llama 3-70B share?
23 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Llama 3-70B has 31.