# GPT-5-Codex vs Nemotron 4 340b Instruct

> GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.

- Canonical page: https://noometry.com/compare/gpt-5-codex-vs-nemotron-4-340b-instruct
- Last updated: 2026-10-10
- Shared benchmarks: 0

## Summary

- The widest gap is in reasoning, where GPT-5-Codex leads 30.0 to 22.4.
- Nemotron 4 340b Instruct has downloadable open weights; the other is API-only.

## Snapshot

| | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| Provider | OpenAI | NVIDIA |
| Noometry Index | 37.3 | 35.3 |
| Rank | 190 | 218 |
| Context | 400K | — |
| Input $/M | $1.25 | — |
| Output $/M | $10 | — |
| Weights | Proprietary | Open |

## Coding

- GPT-5-Codex: 41.9 (#100)
- Nemotron 4 340b Instruct: 34.6 (#223)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| WeirdML | 54.5% | — |
| LMArena Coding | — | 1209 |

## Agentic & Tool Use

- GPT-5-Codex: 30.8 (#66)
- Nemotron 4 340b Instruct: —

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| Terminal-Bench | 44.3% | — |

## Reasoning

- GPT-5-Codex: 30.0 (#80)
- Nemotron 4 340b Instruct: 22.4 (#180)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| Kagi LLM Benchmark | 70.3% | — |
| LMArena Hard Prompts | — | 1202 |

## Math

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 31.7 (#193)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Math | — | 1216 |

## Knowledge

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 31.4 (#212)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Expert | — | 1171 |

## Multilingual

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 38.0 (#228)

| Benchmark | GPT-5-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

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 63.3 (#227)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Instruction Following | — | 1203 |

## Long Context

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 37.1 (#216)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Longer Query | — | 1225 |

## Writing & Preference

- GPT-5-Codex: —
- Nemotron 4 340b Instruct: 42.9 (#229)

| Benchmark | GPT-5-Codex | Nemotron 4 340b Instruct |
|---|---|---|
| LMArena Text | — | 1225 |
| LMArena Creative Writing | — | 1203 |
| LMArena Multi-Turn | — | 1214 |

## FAQ

### Is GPT-5-Codex better than Nemotron 4 340b Instruct?

GPT-5-Codex is the stronger model overall, scoring 37.3 to 35.3 on the Noometry Index.

### Is GPT-5-Codex or Nemotron 4 340b Instruct better for coding?

GPT-5-Codex scores higher on coding benchmarks: 41.9 versus 34.6 in the Noometry coding category.

### How many benchmarks do GPT-5-Codex and Nemotron 4 340b Instruct share?

0 benchmarks have published results for both models. GPT-5-Codex has 3 scored results on Noometry and Nemotron 4 340b Instruct has 17.