Model comparison
GPT-5.1-Codex vs Nemotron 4 340b Instruct
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 35.3 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in coding, where GPT-5.1-Codex leads 41.7 to 34.6.
- Nemotron 4 340b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.1-Codex | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 38.2 | 35.3 |
| Released | 2025-11-12 | 2024-06-14 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.25 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 6 | 17 |
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Category by category
Coding GPT-5.1-Codex leads
GPT-5.1-Codex: 41.7 (#107), Nemotron 4 340b Instruct: 34.6 (#223)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| SWE-bench Verified (bash only) | 66% | — |
| LMArena WebDev | 1337 | — |
| LMArena Coding | — | 1209 |
| ALE-Bench | 1,245 | — |
Agentic & Tool Use Not comparable
GPT-5.1-Codex: 37.8 (#32), Nemotron 4 340b Instruct: —
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| Terminal-Bench | 60.4% | — |
| METR Time Horizons | 70.8% | — |
Reasoning Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 22.4 (#180)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | — | 1202 |
Math Nemotron 4 340b Instruct leads
GPT-5.1-Codex: 29.3 (#218), Nemotron 4 340b Instruct: 31.7 (#193)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| ProofBench | 9% | — |
| LMArena Math | — | 1216 |
Knowledge Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 31.4 (#212)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | — | 1171 |
Multilingual Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 38.0 (#228)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | — | 1206 |
| LMArena Chinese | — | 1214 |
| LMArena French | — | 1196 |
| LMArena German | — | 1192 |
| LMArena Japanese | — | 1128 |
| LMArena Korean | — | 1148 |
| LMArena Russian | — | 1219 |
| LMArena Spanish | — | 1195 |
Instruction Following Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 63.3 (#227)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1203 |
Long Context Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 37.1 (#216)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1225 |
Writing & Preference Not comparable
GPT-5.1-Codex: —, Nemotron 4 340b Instruct: 42.9 (#229)
| Benchmark | GPT-5.1-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | — | 1225 |
| LMArena Creative Writing | — | 1203 |
| LMArena Multi-Turn | — | 1214 |
Frequently asked questions
Is GPT-5.1-Codex better than Nemotron 4 340b Instruct?
GPT-5.1-Codex is the stronger model overall, scoring 38.2 to 35.3 on the Noometry Index.
Is GPT-5.1-Codex or Nemotron 4 340b Instruct better for coding?
GPT-5.1-Codex scores higher on coding benchmarks: 41.7 versus 34.6 in the Noometry coding category.
How many benchmarks do GPT-5.1-Codex and Nemotron 4 340b Instruct share?
0 benchmarks have published results for both models. GPT-5.1-Codex has 6 scored results on Noometry and Nemotron 4 340b Instruct has 17.