Model comparison
Claude 3 Opus vs GPT-5.3 Codex
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.5 on the Noometry Index.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Claude 3 Opus scores higher in 0 categories and GPT-5.3 Codex in 2 categories; 2 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where GPT-5.3 Codex leads 48.0 to 24.6.
- The biggest single-benchmark swing is WeirdML: 19.2% for Claude 3 Opus and 79.3% for GPT-5.3 Codex.
Side by side
| Claude 3 Opus | GPT-5.3 Codex | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 29.5 | 45.8 |
| Released | 2024-02-29 | 2026-02-05 |
| Weights | Proprietary | Proprietary |
| Context window | — | 400K |
| Max output | — | 128K |
| Input $ / M tokens | — | $1.75 |
| Output $ / M tokens | — | $14 |
| Results tracked | 46 | 8 |
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Category by category
Coding GPT-5.3 Codex leads
Claude 3 Opus: 32.9 (#267), GPT-5.3 Codex: 48.6 (#56)
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| WeirdML | 19.2% | 79.3% |
| SWE-bench Verified | — | 74.8% |
| LMArena WebDev | — | 1409 |
| BigCodeBench Instruct | 45.5% | — |
| LiveBench Coding | 38.6% | — |
| LMArena Coding | 1264 | — |
| BigCodeBench Complete | 57.4% | — |
| ALE-Bench | — | 1,655 |
| HumanEval+ | 77.4% | — |
| MBPP+ | 73.3% | — |
Agentic & Tool Use GPT-5.3 Codex leads
Claude 3 Opus: 24.6 (#116), GPT-5.3 Codex: 48.0 (#9)
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| METR Time Horizons | 29.5% | 74.5% |
| Terminal-Bench | — | 78.4% |
| Cybench | 10% | — |
| Vending-Bench 2 | — | 5,940 |
Reasoning Not comparable
Claude 3 Opus: 14.6 (#324), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| Epoch Capabilities Index | 126.91 | 156.77 |
| SimpleBench | 23.5% | — |
| Chess Puzzles | 5% | — |
| EnigmaEval | 0.8% | — |
| LiveBench Reasoning | 40.6% | — |
| LMArena Hard Prompts | 1245 | — |
| DTBench | 61.6% | — |
| LiveBench Data Analysis | 57.9% | — |
| LMCA | 17% | — |
| ForecastBench | 58.4 | — |
| LiveBench | 49.2% | — |
| WinoGrande | 88.5% | — |
Math Not comparable
Claude 3 Opus: 14.8 (#299), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 4.7% | — |
| LiveBench Math | 43.6% | — |
| LMArena Math | 1273 | — |
| MATH Level 5 | 37.5% | — |
Knowledge Not comparable
Claude 3 Opus: 24.5 (#267), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| GPQA Diamond | 47.2% | — |
| SimpleQA Verified | 12.6% | — |
| Confabulations | 22.7% | — |
| LMArena Expert | 1223 | — |
| MMLU | 84.6% | — |
Multimodal Not comparable
Claude 3 Opus: 27.1 (#116), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| LMArena Vision | 1023 | — |
Multilingual Not comparable
Claude 3 Opus: 41.4 (#207), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| LMArena Non-English | 1258 | — |
| LMArena Chinese | 1248 | — |
| LMArena French | 1275 | — |
| LMArena German | 1258 | — |
| LMArena Japanese | 1204 | — |
| LMArena Korean | 1187 | — |
| LMArena Russian | 1280 | — |
| LMArena Spanish | 1246 | — |
Instruction Following Not comparable
Claude 3 Opus: 64.1 (#228), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| LiveBench Instruction Following | 63.9% | — |
| LMArena Instruction Following | 1248 | — |
Long Context Not comparable
Claude 3 Opus: 38.2 (#202), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| LMArena Longer Query | 1259 | — |
Writing & Preference Not comparable
Claude 3 Opus: 47.2 (#213), GPT-5.3 Codex: —
| Benchmark | Claude 3 Opus | GPT-5.3 Codex |
|---|---|---|
| LMArena Text | 1262 | — |
| LMArena Creative Writing | 1235 | — |
| LMArena Multi-Turn | 1275 | — |
| LiveBench Language | 50.4% | — |
Frequently asked questions
Is Claude 3 Opus better than GPT-5.3 Codex?
GPT-5.3 Codex is the stronger model overall, scoring 45.8 to 29.5 on the Noometry Index.
Is Claude 3 Opus or GPT-5.3 Codex better for coding?
GPT-5.3 Codex scores higher on coding benchmarks: 48.6 versus 32.9 in the Noometry coding category.
How many benchmarks do Claude 3 Opus and GPT-5.3 Codex share?
3 benchmarks have published results for both models. Claude 3 Opus has 46 scored results on Noometry and GPT-5.3 Codex has 8.