Model comparison
GPT-5-Codex vs Llama 3.1 Nemotron 51b Instruct
GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.2 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 22.5.
- Llama 3.1 Nemotron 51b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 37.3 | 35.2 |
| Released | 2025-09-15 | — |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 3 | 12 |
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Category by category
Coding GPT-5-Codex leads
GPT-5-Codex: 41.9 (#100), Llama 3.1 Nemotron 51b Instruct: 35.0 (#219)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1223 |
Agentic & Tool Use Not comparable
GPT-5-Codex: 30.8 (#66), Llama 3.1 Nemotron 51b Instruct: —
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| Terminal-Bench | 44.3% | — |
Reasoning GPT-5-Codex leads
GPT-5-Codex: 30.0 (#80), Llama 3.1 Nemotron 51b Instruct: 22.5 (#177)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1204 |
Math Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 32.0 (#189)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Math | — | 1230 |
Knowledge Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 31.3 (#213)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Expert | — | 1167 |
Multilingual Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 36.3 (#236)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Non-English | — | 1181 |
| LMArena Chinese | — | 1179 |
| LMArena Russian | — | 1186 |
Instruction Following Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 63.2 (#228)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1201 |
Long Context Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 36.5 (#225)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1205 |
Writing & Preference Not comparable
GPT-5-Codex: —, Llama 3.1 Nemotron 51b Instruct: 43.5 (#224)
| Benchmark | GPT-5-Codex | Llama 3.1 Nemotron 51b Instruct |
|---|---|---|
| LMArena Text | — | 1228 |
| LMArena Creative Writing | — | 1213 |
| LMArena Multi-Turn | — | 1227 |
Frequently asked questions
Is GPT-5-Codex better than Llama 3.1 Nemotron 51b Instruct?
GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.2 on the Noometry Index.
Is GPT-5-Codex or Llama 3.1 Nemotron 51b Instruct better for coding?
GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 35.0 in the Noometry coding category.
How many benchmarks do GPT-5-Codex and Llama 3.1 Nemotron 51b Instruct share?
0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Llama 3.1 Nemotron 51b Instruct has 12.