Model comparison
GPT-4.5 vs Llama 3.2 1B
GPT-4.5 is the stronger model overall, scoring 36.9 to 19.9 on the Noometry Index.
Last verified . 17 shared benchmarks.
MetaSummary
- They share 17 benchmarks with published results for both. GPT-4.5 scores higher in 8 categories and Llama 3.2 1B in 1 category; 9 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where GPT-4.5 leads 57.1 to 21.4.
- The biggest single-benchmark swing is GPQA Diamond: 68.7% for GPT-4.5 and 23.9% for Llama 3.2 1B.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| GPT-4.5 | Llama 3.2 1B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 36.9 | 19.9 |
| Released | 2025-02-27 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | — | 60K |
| Max output | — | 54K |
| Input $ / M tokens | — | $0.027 |
| Output $ / M tokens | — | $0.20 |
| Results tracked | 42 | 22 |
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Category by category
Coding GPT-4.5 leads
GPT-4.5: 41.8 (#102), Llama 3.2 1B: 20.6 (#333)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Coding | 1397 | 1071 |
| Aider Polyglot | 44.9% | — |
| WeirdML | 39.4% | — |
| BigCodeBench Instruct | — | 8.2% |
| LiveBench Coding | 75.2% | — |
| BigCodeBench Complete | — | 11.3% |
Agentic & Tool Use GPT-4.5 leads
GPT-4.5: 27.6 (#92), Llama 3.2 1B: 14.5 (#142)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| Cybench | 17.5% | — |
| BALROG | — | 6.6% |
Reasoning Llama 3.2 1B leads
GPT-4.5: 14.1 (#320), Llama 3.2 1B: 15.6 (#304)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Hard Prompts | 1404 | 1044 |
| Epoch Capabilities Index | 136.74 | 101.95 |
| ARC-AGI-2 | 0.8% | — |
| SimpleBench | 34.5% | — |
| ARC-AGI-1 | 10.3% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 3.2% | — |
| LiveBench Reasoning | 71.1% | — |
| LiveBench Data Analysis | 64.3% | — |
| ForecastBench | 61.7 | — |
| LiveBench | 69% | — |
Math GPT-4.5 leads
GPT-4.5: 31.0 (#200), Llama 3.2 1B: 9.7 (#308)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 37.8% | 0.6% |
| LMArena Math | 1412 | 1086 |
| LiveBench Math | 69.3% | — |
| MATH Level 5 | 78.6% | — |
Knowledge GPT-4.5 leads
GPT-4.5: 32.4 (#205), Llama 3.2 1B: 7.2 (#307)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | 68.7% | 23.9% |
| LMArena Expert | 1394 | 1007 |
| Humanity's Last Exam | 5.4% | — |
| Confabulations | 13.6% | — |
Multimodal Not comparable
GPT-4.5: 37.0 (#68), Llama 3.2 1B: —
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Vision | 1195 | — |
| VPCT | 45% | — |
Multilingual GPT-4.5 leads
GPT-4.5: 52.7 (#78), Llama 3.2 1B: 23.9 (#287)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | 1413 | 973 |
| LMArena Chinese | 1421 | 958 |
| LMArena German | 1457 | 1014 |
| LMArena Russian | 1419 | 941 |
| LMArena French | 1417 | — |
| LMArena Japanese | 1416 | — |
| LMArena Korean | 1392 | — |
Instruction Following GPT-4.5 leads
GPT-4.5: 72.8 (#129), Llama 3.2 1B: 52.6 (#285)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | 1404 | 1031 |
| LiveBench Instruction Following | 72.3% | — |
Long Context GPT-4.5 leads
GPT-4.5: 40.4 (#150), Llama 3.2 1B: 31.9 (#269)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | 1406 | 1050 |
| Fiction.LiveBench | 63.9% | — |
Writing & Preference GPT-4.5 leads
GPT-4.5: 57.1 (#129), Llama 3.2 1B: 21.4 (#305)
| Benchmark | GPT-4.5 | Llama 3.2 1B |
|---|---|---|
| LMArena Text | 1417 | 1055 |
| LMArena Creative Writing | 1394 | 1033 |
| EQ-Bench Creative Writing | 1258 | 200 |
| LMArena Multi-Turn | 1444 | 1030 |
| Short-Story Creative Writing | 75.6% | — |
| LiveBench Language | 61.5% | — |
Frequently asked questions
Is GPT-4.5 better than Llama 3.2 1B?
GPT-4.5 is the stronger model overall, scoring 36.9 to 19.9 on the Noometry Index.
Is GPT-4.5 or Llama 3.2 1B better for coding?
GPT-4.5 scores higher on coding benchmarks: 41.8 versus 20.6 in the Noometry coding category.
How many benchmarks do GPT-4.5 and Llama 3.2 1B share?
17 benchmarks have published results for both models. GPT-4.5 has 42 scored results on Noometry and Llama 3.2 1B has 22.