Model comparison
GPT-5.3 Codex vs Nemotron 4 340b Instruct
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 35.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
NVIDIASummary
- The widest gap is in coding, where GPT-5.3 Codex leads 48.6 to 35.2.
- Nemotron 4 340b Instruct has downloadable open weights; the other is API-only.
Side by side
| GPT-5.3 Codex | Nemotron 4 340b Instruct | |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 45.8 | 35.9 |
| Released | 2026-02-05 | 2024-06-14 |
| Weights | Proprietary | Open |
| Context window | 400K | — |
| Max output | 128K | — |
| Input $ / M tokens | $1.75 | — |
| Output $ / M tokens | $14 | — |
| Results tracked | 8 | 17 |
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Category by category
Coding GPT-5.3 Codex leads
GPT-5.3 Codex: 48.6 (#56), Nemotron 4 340b Instruct: 35.2 (#228)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| SWE-bench Verified | 74.8% | — |
| LMArena WebDev | 1409 | — |
| WeirdML | 79.3% | — |
| LMArena Coding | — | 1209 |
| ALE-Bench | 1,655 | — |
Agentic & Tool Use Not comparable
GPT-5.3 Codex: 48.0 (#9), Nemotron 4 340b Instruct: —
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| Terminal-Bench | 78.4% | — |
| METR Time Horizons | 74.5% | — |
| Vending-Bench 2 | 5,940 | — |
Reasoning Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 23.4 (#178)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Hard Prompts | — | 1202 |
| Epoch Capabilities Index | 156.77 | — |
Math Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 34.3 (#195)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | — | 1216 |
Knowledge Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 32.0 (#216)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | — | 1171 |
Multilingual Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 37.9 (#233)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Non-English | — | 1206 |
| LMArena Chinese | — | 1214 |
| LMArena French | — | 1197 |
| LMArena German | — | 1192 |
| LMArena Japanese | — | 1128 |
| LMArena Korean | — | 1148 |
| LMArena Russian | — | 1219 |
| LMArena Spanish | — | 1195 |
Instruction Following Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 63.1 (#232)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1203 |
Long Context Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 37.1 (#221)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1225 |
Writing & Preference Not comparable
GPT-5.3 Codex: —, Nemotron 4 340b Instruct: 42.7 (#233)
| Benchmark | GPT-5.3 Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | — | 1225 |
| LMArena Creative Writing | — | 1203 |
| LMArena Multi-Turn | — | 1214 |
Frequently asked questions
Is GPT-5.3 Codex better than Nemotron 4 340b Instruct?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 35.9 on the Noometry Index.
Is GPT-5.3 Codex or Nemotron 4 340b Instruct better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 35.2 in the Noometry coding category.
How many benchmarks do GPT-5.3 Codex and Nemotron 4 340b Instruct share?
0 benchmarks have published results for both models. GPT-5.3 Codex has 8 scored results on Noometry and Nemotron 4 340b Instruct has 17.