Model comparison
GPT-4 vs GPT-5-Codex
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.1 on the Noometry Index.
Last verified . 1 shared benchmarks.
Summary
- They share 1 benchmark with published results for both. GPT-4 scores higher in 0 categories and GPT-5-Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where GPT-5-Codex leads 30.9 to 17.8.
- The biggest single-benchmark swing is WeirdML: 12.4% for GPT-4 and 54.5% for GPT-5-Codex.
- GPT-5-Codex is cheaper at $1.25 / $10 per million input/output tokens, against $30 / $60 for GPT-4.
- GPT-5-Codex accepts more context: 400K tokens versus 8K.
Side by side
| GPT-4 | GPT-5-Codex | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 29.1 | 37.9 |
| Released | 2023-03-14 | 2025-09-15 |
| Weights | Proprietary | Proprietary |
| Context window | 8K | 400K |
| Max output | 8K | 128K |
| Input $ / M tokens | $30 | $1.25 |
| Output $ / M tokens | $60 | $10 |
| Results tracked | 38 | 3 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding GPT-5-Codex leads
GPT-4: 31.6 (#283), GPT-5-Codex: 42.4 (#103)
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| WeirdML | 12.4% | 54.5% |
| BigCodeBench Instruct | 46% | — |
| LMArena Coding | 1254 | — |
| BigCodeBench Complete | 57.2% | — |
| HumanEval+ | 79.3% | — |
Agentic & Tool Use Not comparable
GPT-4: —, GPT-5-Codex: 31.0 (#72)
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| Terminal-Bench | — | 44.3% |
| METR Time Horizons | 36.1% | — |
Reasoning GPT-5-Codex leads
GPT-4: 17.8 (#289), GPT-5-Codex: 30.9 (#83)
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| Kagi LLM Benchmark | — | 70.3% |
| Chess Puzzles | 4% | — |
| LMArena Hard Prompts | 1241 | — |
| Mystery Game Puzzles | 12% | — |
| DTBench | 62.7% | — |
| LMCA | 17.1% | — |
| BIG-Bench Hard | 75.1% | — |
| Epoch Capabilities Index | 125.89 | — |
| ForecastBench | 57.8 | — |
| HellaSwag | 95.3% | — |
| WinoGrande | 87.5% | — |
Math Not comparable
GPT-4: 10.8 (#309), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 1.1% | — |
| LMArena Math | 1269 | — |
| MATH Level 5 | 23% | — |
| GSM8K | 92% | — |
Knowledge Not comparable
GPT-4: 18.4 (#282), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| GPQA Diamond | 35.7% | — |
| LMArena Expert | 1211 | — |
| MMLU | 86.4% | — |
| TriviaQA | 84.8% | — |
Multilingual Not comparable
GPT-4: 40.6 (#215), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| LMArena Non-English | 1246 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1283 | — |
| LMArena German | 1251 | — |
| LMArena Japanese | 1209 | — |
| LMArena Korean | 1184 | — |
| LMArena Russian | 1251 | — |
| LMArena Spanish | 1261 | — |
Instruction Following Not comparable
GPT-4: 65.3 (#222), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| LMArena Instruction Following | 1241 | — |
Long Context Not comparable
GPT-4: 37.7 (#212), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| LMArena Longer Query | 1244 | — |
Writing & Preference Not comparable
GPT-4: 34.9 (#268), GPT-5-Codex: —
| Benchmark | GPT-4 | GPT-5-Codex |
|---|---|---|
| LMArena Text | 1263 | — |
| LMArena Creative Writing | 1244 | — |
| EQ-Bench Creative Writing | 752 | — |
| LMArena Multi-Turn | 1257 | — |
Frequently asked questions
Is GPT-4 better than GPT-5-Codex?
GPT-5-Codex is the stronger model overall, scoring 37.9 to 29.1 on the Noometry Index.
Which is cheaper, GPT-4 or GPT-5-Codex?
GPT-5-Codex is cheaper. It lists at $1.25 per million input tokens and $10 per million output tokens; GPT-4 lists at $30 and $60.
Is GPT-4 or GPT-5-Codex better for coding?
GPT-5-Codex scores higher on coding benchmarks: 42.4 versus 31.6 in the Noometry coding category.
Which has the bigger context window?
GPT-5-Codex does, with 400K tokens against 8K.
How many benchmarks do GPT-4 and GPT-5-Codex share?
1 benchmark has published results for both models. GPT-4 has 38 scored results on Noometry and GPT-5-Codex has 3.