Model comparison
GPT-5 Pro vs Llama 3.2 1B
GPT-5 Pro is the stronger model overall, scoring 46.2 to 19.9 on the Noometry Index. Llama 3.2 1B costs 585× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 1 shared benchmarks.
MetaSummary
- They share 1 benchmark with published results for both. GPT-5 Pro scores higher in 4 categories and Llama 3.2 1B in 0 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 7.2.
- Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 60K.
- Llama 3.2 1B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Llama 3.2 1B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 46.2 | 19.9 |
| Released | 2025-10-06 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 400K | 60K |
| Max output | 272K | 54K |
| Input $ / M tokens | $15 | $0.027 |
| Output $ / M tokens | $120 | $0.20 |
| Results tracked | 12 | 22 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), Llama 3.2 1B: 20.6 (#333)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| WeirdML | 60.4% | — |
| BigCodeBench Instruct | — | 8.2% |
| LMArena Coding | — | 1071 |
| BigCodeBench Complete | — | 11.3% |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Llama 3.2 1B: 14.5 (#142)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 10.8% |
| BALROG | — | 6.6% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Llama 3.2 1B: 15.6 (#304)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| Epoch Capabilities Index | 150.26 | 101.95 |
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| Chess Puzzles | — | 0% |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1044 |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Llama 3.2 1B: 9.7 (#308)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| OTIS Mock AIME 2024-2025 | — | 0.6% |
| LMArena Math | — | 1086 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Llama 3.2 1B: 7.2 (#307)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| GPQA Diamond | — | 23.9% |
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1007 |
Multilingual Not comparable
GPT-5 Pro: —, Llama 3.2 1B: 23.9 (#287)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Non-English | — | 973 |
| LMArena Chinese | — | 958 |
| LMArena German | — | 1014 |
| LMArena Russian | — | 941 |
Instruction Following Not comparable
GPT-5 Pro: —, Llama 3.2 1B: 52.6 (#285)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Instruction Following | — | 1031 |
Long Context Not comparable
GPT-5 Pro: —, Llama 3.2 1B: 31.9 (#269)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Longer Query | — | 1050 |
Writing & Preference Not comparable
GPT-5 Pro: —, Llama 3.2 1B: 21.4 (#305)
| Benchmark | GPT-5 Pro | Llama 3.2 1B |
|---|---|---|
| LMArena Text | — | 1055 |
| LMArena Creative Writing | — | 1033 |
| EQ-Bench Creative Writing | — | 200 |
| LMArena Multi-Turn | — | 1030 |
Frequently asked questions
Is GPT-5 Pro better than Llama 3.2 1B?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 19.9 on the Noometry Index. Llama 3.2 1B costs 585× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Which is cheaper, GPT-5 Pro or Llama 3.2 1B?
Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Llama 3.2 1B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 20.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 60K.
How many benchmarks do GPT-5 Pro and Llama 3.2 1B share?
1 benchmark has published results for both models. GPT-5 Pro has 12 scored results on Noometry and Llama 3.2 1B has 22.