Model comparison
GPT-4 Turbo vs GPT-5.2 Codex
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 30.5 on the Noometry Index.
Last verified . 0 shared benchmarks.
Summary
- The widest gap is in coding, where GPT-5.2 Codex leads 45.5 to 33.8.
- GPT-5.2 Codex is cheaper at $1.75 / $14 per million input/output tokens, against $10 / $30 for GPT-4 Turbo.
- GPT-5.2 Codex accepts more context: 400K tokens versus 128K.
Side by side
| GPT-4 Turbo | GPT-5.2 Codex | |
|---|---|---|
| Provider | OpenAI | OpenAI |
| Noometry Index | 30.5 | 42.6 |
| Released | 2023-11-06 | 2025-12-18 |
| Weights | Proprietary | Proprietary |
| Context window | 128K | 400K |
| Max output | 4K | 128K |
| Input $ / M tokens | $10 | $1.75 |
| Output $ / M tokens | $30 | $14 |
| Results tracked | 36 | 5 |
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Category by category
Coding GPT-5.2 Codex leads
GPT-4 Turbo: 33.8 (#249), GPT-5.2 Codex: 45.5 (#71)
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| SWE-bench Verified (bash only) | — | 72.8% |
| LMArena WebDev | — | 1339 |
| SWE-bench Multilingual | — | 66.3% |
| WeirdML | 18% | — |
| BigCodeBench Instruct | 48.2% | — |
| LMArena Coding | 1268 | — |
| BigCodeBench Complete | 58.2% | — |
| ALE-Bench | — | 1,300 |
| HumanEval+ | 86.6% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use Not comparable
GPT-4 Turbo: —, GPT-5.2 Codex: 41.0 (#22)
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| Terminal-Bench | — | 66.5% |
| METR Time Horizons | 36.7% | — |
Reasoning Not comparable
GPT-4 Turbo: 15.3 (#317), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| SimpleBench | 25.1% | — |
| Chess Puzzles | 6% | — |
| LMArena Hard Prompts | 1251 | — |
| DTBench | 61.6% | — |
| LMCA | 9.8% | — |
| Epoch Capabilities Index | 127.25 | — |
| ForecastBench | 59.4 | — |
Math Not comparable
GPT-4 Turbo: 9.0 (#322), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| FrontierMath (Tiers 1-3) | 0.7% | — |
| OTIS Mock AIME 2024-2025 | 6.7% | — |
| LMArena Math | 1272 | — |
| MATH Level 5 | 46.7% | — |
Knowledge Not comparable
GPT-4 Turbo: 24.3 (#268), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| GPQA Diamond | 46.6% | — |
| Confabulations | 28.4% | — |
| LMArena Expert | 1223 | — |
| MMLU | 81.3% | — |
Multimodal Not comparable
GPT-4 Turbo: 30.6 (#110), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| LMArena Vision | 1090 | — |
Multilingual Not comparable
GPT-4 Turbo: 40.5 (#216), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| LMArena Non-English | 1245 | — |
| LMArena Chinese | 1242 | — |
| LMArena French | 1276 | — |
| LMArena German | 1259 | — |
| LMArena Japanese | 1194 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1259 | — |
| LMArena Spanish | 1260 | — |
Instruction Following Not comparable
GPT-4 Turbo: 65.8 (#216), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| LMArena Instruction Following | 1249 | — |
Long Context Not comparable
GPT-4 Turbo: 38.0 (#206), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| LMArena Longer Query | 1254 | — |
Writing & Preference Not comparable
GPT-4 Turbo: 47.7 (#206), GPT-5.2 Codex: —
| Benchmark | GPT-4 Turbo | GPT-5.2 Codex |
|---|---|---|
| LMArena Text | 1272 | — |
| LMArena Creative Writing | 1269 | — |
| LMArena Multi-Turn | 1267 | — |
Frequently asked questions
Is GPT-4 Turbo better than GPT-5.2 Codex?
GPT-5.2 Codex is the stronger model overall, scoring 42.6 to 30.5 on the Noometry Index.
Which is cheaper, GPT-4 Turbo or GPT-5.2 Codex?
GPT-5.2 Codex is cheaper. It lists at $1.75 per million input tokens and $14 per million output tokens; GPT-4 Turbo lists at $10 and $30.
Is GPT-4 Turbo or GPT-5.2 Codex better for coding?
GPT-5.2 Codex scores higher on coding benchmarks: 45.5 versus 33.8 in the Noometry coding category.
Which has the bigger context window?
GPT-5.2 Codex does, with 400K tokens against 128K.
How many benchmarks do GPT-4 Turbo and GPT-5.2 Codex share?
0 benchmarks have published results for both models. GPT-4 Turbo has 36 scored results on Noometry and GPT-5.2 Codex has 5.