Model comparison
GPT-5.4 mini vs Llama 2-7B
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 29.1 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. GPT-5.4 mini scores higher in 8 categories and Llama 2-7B in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-5.4 mini leads 64.0 to 28.0.
- The biggest single-benchmark swing is Chess Puzzles: 24% for GPT-5.4 mini and 0% for Llama 2-7B.
- Llama 2-7B has downloadable open weights; the other is API-only.
Side by side
| GPT-5.4 mini | Llama 2-7B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 45.0 | 29.1 |
| Released | 2026-03-17 | 2023-07-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $0.75 | — |
| Output $ / M tokens | $4.50 | — |
| Results tracked | 46 | 29 |
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Category by category
Coding GPT-5.4 mini leads
GPT-5.4 mini: 45.2 (#72), Llama 2-7B: 29.2 (#307)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Coding | 1438 | 1002 |
| FrontierCode | 27% | — |
| LMArena WebDev | 1397 | — |
| SciCode | 49.9% | — |
| WeirdML | 60.3% | — |
| ALE-Bench | 1,189 | — |
Agentic & Tool Use Not comparable
GPT-5.4 mini: 29.9 (#81), Llama 2-7B: —
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| DeepResearch Bench | 36.3% | — |
Reasoning GPT-5.4 mini leads
GPT-5.4 mini: 30.4 (#85), Llama 2-7B: 15.7 (#312)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| Chess Puzzles | 24% | 0% |
| LMArena Hard Prompts | 1424 | 1009 |
| Epoch Capabilities Index | 148.84 | 99.06 |
| ARC-AGI-2 | 18.9% | — |
| Kagi LLM Benchmark | 37.9% | — |
| NYT Connections (extended) | 61.8% | — |
| ARC-AGI-1 | 63.7% | — |
| CritPt | 10% | — |
| Thematic Generalization | 61.7% | — |
| Mystery Game Puzzles | 11% | — |
| DTBench | 80% | — |
| LMCA | 40.8% | — |
| BIG-Bench Hard | — | 39.2% |
| ForecastBench | 57 | — |
| HellaSwag | — | 77.2% |
| LAMBADA | — | 73.3% |
| PIQA | — | 78.8% |
| WinoGrande | — | 69.2% |
Math GPT-5.4 mini leads
GPT-5.4 mini: 45.5 (#75), Llama 2-7B: 30.7 (#233)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Math | 1419 | 1042 |
| FrontierMath (Tiers 1-3) | 51.2% | — |
| FrontierMath Tier 4 | 9.8% | — |
| OTIS Mock AIME 2024-2025 | 88.9% | — |
| ProofBench | 21% | — |
| FrontierMath (Feb 2025 set) | 28.3% | — |
| FrontierMath Tier 4 (v1) | 2.1% | — |
| GSM8K | — | 16.7% |
Knowledge GPT-5.4 mini leads
GPT-5.4 mini: 51.5 (#67), Llama 2-7B: 28.2 (#248)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Expert | 1435 | 1036 |
| GPQA Diamond | 86.9% | — |
| SimpleQA Verified | 29.4% | — |
| Vectara Hallucination Rate | 5.5% | — |
| ARC (AI2) Challenge | — | 45.9% |
| BoolQ | — | 77.9% |
| MMLU | — | 45.8% |
| OpenBookQA | — | 58.6% |
| TriviaQA | — | 73.7% |
Multimodal Not comparable
GPT-5.4 mini: 39.7 (#56), Llama 2-7B: —
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Vision | 1245 | — |
| ScienceQA | — | 43.1% |
Multilingual GPT-5.4 mini leads
GPT-5.4 mini: 51.9 (#96), Llama 2-7B: 23.8 (#293)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Non-English | 1405 | 973 |
| LMArena Chinese | 1446 | 973 |
| LMArena French | 1440 | 970 |
| LMArena German | 1409 | 978 |
| LMArena Russian | 1417 | 995 |
| LMArena Spanish | 1405 | 1007 |
| LMArena Japanese | 1374 | — |
| LMArena Korean | 1368 | — |
Instruction Following GPT-5.4 mini leads
GPT-5.4 mini: 74.1 (#102), Llama 2-7B: 50.8 (#298)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Instruction Following | 1405 | 1006 |
Long Context GPT-5.4 mini leads
GPT-5.4 mini: 43.0 (#112), Llama 2-7B: 30.4 (#287)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Longer Query | 1407 | 999 |
Writing & Preference GPT-5.4 mini leads
GPT-5.4 mini: 64.0 (#58), Llama 2-7B: 28.0 (#298)
| Benchmark | GPT-5.4 mini | Llama 2-7B |
|---|---|---|
| LMArena Text | 1412 | 1053 |
| LMArena Creative Writing | 1370 | 1033 |
| LMArena Multi-Turn | 1429 | 1029 |
| EQ-Bench Creative Writing | 1665 | — |
Frequently asked questions
Is GPT-5.4 mini better than Llama 2-7B?
GPT-5.4 mini is the stronger model overall, scoring 45.0 to 29.1 on the Noometry Index.
Is GPT-5.4 mini or Llama 2-7B better for coding?
GPT-5.4 mini scores higher on coding benchmarks: 45.2 versus 29.2 in the Noometry coding category.
How many benchmarks do GPT-5.4 mini and Llama 2-7B share?
17 benchmarks have published results for both models. GPT-5.4 mini has 46 scored results on Noometry and Llama 2-7B has 29.