Model comparison
GPT-5.2 Codex vs Llama 3.1 Nemotron 70b Instruct
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 37.6 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 35.9.
- Llama 3.1 Nemotron 70b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 42.6 | 37.6 |
| Released | 2025-12-18 | 2024-12-18 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 5 | 14 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5.2 Codex leads
GPT-5.2 Codex: 45.5 (#71), Llama 3.1 Nemotron 70b Instruct: 35.9 (#216)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 72.8% | — |
| LMArena WebDev | 1339 | — |
| SWE-bench Multilingual | 66.3% | — |
| BigCodeBench Instruct | — | 38.7% |
| LMArena Coding | — | 1272 |
| BigCodeBench Complete | — | 48.2% |
| ALE-Bench | 1,300 | — |
Agentic & Tool Use Not comparable
GPT-5.2 Codex: 41.0 (#22), Llama 3.1 Nemotron 70b Instruct: —
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| Terminal-Bench | 66.5% | — |
Reasoning Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 25.0 (#152)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Hard Prompts | — | 1266 |
Math Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 35.5 (#182)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Math | — | 1271 |
Knowledge Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 34.1 (#199)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Expert | — | 1242 |
Multilingual Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 40.5 (#217)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Non-English | — | 1245 |
| LMArena Chinese | — | 1263 |
| LMArena Russian | — | 1227 |
Instruction Following Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 65.9 (#213)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1252 |
Long Context Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 37.6 (#215)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1238 |
Writing & Preference Not comparable
GPT-5.2 Codex: —, Llama 3.1 Nemotron 70b Instruct: 48.4 (#203)
| Benchmark | GPT-5.2 Codex | Llama 3.1 Nemotron 70b Instruct |
|---|---|---|
| LMArena Text | — | 1283 |
| LMArena Creative Writing | — | 1269 |
| LMArena Multi-Turn | — | 1275 |
Frequently asked questions
Is GPT-5.2 Codex better than Llama 3.1 Nemotron 70b Instruct?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 37.6 on the Noometry Index.
Is GPT-5.2 Codex or Llama 3.1 Nemotron 70b Instruct better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 35.9 in the Noometry coding category.
How many benchmarks do GPT-5.2 Codex and Llama 3.1 Nemotron 70b Instruct share?
0 benchmarks have published results for both models. GPT-5.2 Codex has 5 scored results on Noometry and Llama 3.1 Nemotron 70b Instruct has 14.