Model comparison
GPT-5 Pro vs Llama 3.2 3B
GPT-5 Pro is the stronger model overall, scoring 46.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 344× less per token, which makes it the better buy when GPT-5 Pro's lead doesn't matter for your workload.
Last verified . 0 shared benchmarks.
MetaSummary
- The widest gap is in knowledge, where GPT-5 Pro leads 56.2 to 29.1.
- Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $15 / $120 for GPT-5 Pro.
- GPT-5 Pro accepts more context: 400K tokens versus 131K.
- Llama 3.2 3B has downloadable open weights; the other is API-only.
Side by side
| GPT-5 Pro | Llama 3.2 3B | |
|---|---|---|
| Provider | OpenAI | Meta |
| Noometry Index | 46.2 | 28.4 |
| Released | 2025-10-06 | 2024-09-24 |
| Weights | Proprietary | Open |
| Context window | 400K | 131K |
| Max output | 272K | 118K |
| Input $ / M tokens | $15 | $0.05 |
| Output $ / M tokens | $120 | $0.33 |
| Results tracked | 12 | 18 |
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Category by category
Coding GPT-5 Pro leads
GPT-5 Pro: 43.4 (#77), Llama 3.2 3B: 27.1 (#314)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| WeirdML | 60.4% | — |
| BigCodeBench Instruct | — | 23.4% |
| LMArena Coding | — | 1098 |
| BigCodeBench Complete | — | 28.3% |
| AlgoTune | 1.31 | — |
Agentic & Tool Use Not comparable
GPT-5 Pro: —, Llama 3.2 3B: 19.9 (#135)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| Berkeley Function Calling Leaderboard | — | 21.9% |
| BALROG | — | 10.1% |
Reasoning GPT-5 Pro leads
GPT-5 Pro: 39.2 (#52), Llama 3.2 3B: 20.1 (#225)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| ARC-AGI-2 | 18.3% | — |
| SimpleBench | 61.6% | — |
| Kagi LLM Benchmark | 76.8% | — |
| ARC-AGI-1 | 70.2% | — |
| EnigmaEval | 18.8% | — |
| LMArena Hard Prompts | — | 1095 |
| Epoch Capabilities Index | 150.26 | — |
Math GPT-5 Pro leads
GPT-5 Pro: 48.0 (#53), Llama 3.2 3B: 29.9 (#213)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 55.8% | — |
| FrontierMath Tier 4 | 19.5% | — |
| LMArena Math | — | 1126 |
| FrontierMath Tier 4 (v1) | 14.6% | — |
Knowledge GPT-5 Pro leads
GPT-5 Pro: 56.2 (#39), Llama 3.2 3B: 29.1 (#232)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| Humanity's Last Exam | 31.6% | — |
| LMArena Expert | — | 1090 |
Multilingual Not comparable
GPT-5 Pro: —, Llama 3.2 3B: 26.4 (#276)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| LMArena Non-English | — | 1019 |
| LMArena Chinese | — | 1017 |
| LMArena German | — | 1056 |
| LMArena Russian | — | 949 |
Instruction Following Not comparable
GPT-5 Pro: —, Llama 3.2 3B: 56.3 (#270)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| LMArena Instruction Following | — | 1089 |
Long Context Not comparable
GPT-5 Pro: —, Llama 3.2 3B: 33.4 (#256)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| LMArena Longer Query | — | 1101 |
Writing & Preference Not comparable
GPT-5 Pro: —, Llama 3.2 3B: 24.9 (#302)
| Benchmark | GPT-5 Pro | Llama 3.2 3B |
|---|---|---|
| LMArena Text | — | 1110 |
| LMArena Creative Writing | — | 1094 |
| EQ-Bench Creative Writing | — | 595 |
| LMArena Multi-Turn | — | 1105 |
Frequently asked questions
Is GPT-5 Pro better than Llama 3.2 3B?
GPT-5 Pro is the stronger model overall, scoring 46.2 to 28.4 on the Noometry Index. Llama 3.2 3B costs 344× 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 3B?
Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; GPT-5 Pro lists at $15 and $120.
Is GPT-5 Pro or Llama 3.2 3B better for coding?
GPT-5 Pro scores higher on coding benchmarks: 43.4 versus 27.1 in the Noometry coding category.
Which has the bigger context window?
GPT-5 Pro does, with 400K tokens against 131K.
How many benchmarks do GPT-5 Pro and Llama 3.2 3B share?
0 benchmarks have published results for both models. GPT-5 Pro has 12 scored results on Noometry and Llama 3.2 3B has 18.