Model comparison
Claude Opus 4 vs GPT-5.3 Chat
Claude Opus 4 and GPT-5.3 Chat score almost the same on the Noometry Index (42.9 vs 42.1), so choose on price, context window or the category you care about most.
Last verified . 18 shared benchmarks.
Summary
- They share 18 benchmarks with published results for both. Claude Opus 4 scores higher in 5 categories and GPT-5.3 Chat in 3 categories; 7 gaps are clear of the uncertainty.
- The widest gap is in coding, where Claude Opus 4 leads 47.8 to 40.8.
- GPT-5.3 Chat is cheaper at $1.75 / $14 per million input/output tokens, against $15 / $75 for Claude Opus 4.
- Claude Opus 4 accepts more context: 200K tokens versus 128K.
Side by side
| Claude Opus 4 | GPT-5.3 Chat | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 42.9 | 42.1 |
| Released | 2025-05-22 | 2026-03-03 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 128K |
| Max output | 32K | 16K |
| Input $ / M tokens | $15 | $1.75 |
| Output $ / M tokens | $75 | $14 |
| Results tracked | 56 | 18 |
Sponsored placements are available on pages like this one. Advertise on Noometry
Category by category
Coding Claude Opus 4 leads
Claude Opus 4: 47.8 (#55), GPT-5.3 Chat: 40.8 (#124)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Coding | 1442 | 1408 |
| SWE-bench Verified | 70.7% | — |
| SWE-bench Verified (bash only) | 67.6% | — |
| Aider Polyglot | 72% | — |
| GSO | 6.9% | — |
| WeirdML | 43.7% | — |
| AlgoTune | 1.33 | — |
Agentic & Tool Use Not comparable
Claude Opus 4: 34.5 (#39), GPT-5.3 Chat: —
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| Cybench | 38% | — |
| DeepResearch Bench | 46.8% | — |
| LMArena Search | 1127 | — |
| METR Time Horizons | 63.9% | — |
Reasoning Too close to call
Claude Opus 4: 27.4 (#104), GPT-5.3 Chat: 27.3 (#105)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Hard Prompts | 1399 | 1399 |
| ARC-AGI-2 | 8.6% | — |
| SimpleBench | 58.8% | — |
| Kagi LLM Benchmark | 74.3% | — |
| ARC-AGI-1 | 35.7% | — |
| CritPt | 0.3% | — |
| EnigmaEval | 5.6% | — |
| DTBench | 81.6% | — |
| LMCA | 37.4% | — |
| Epoch Capabilities Index | 142.67 | — |
| ForecastBench | 61.1 | — |
Math Claude Opus 4 leads
Claude Opus 4: 40.2 (#80), GPT-5.3 Chat: 35.4 (#146)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Math | 1391 | 1389 |
| OTIS Mock AIME 2024-2025 | 64.4% | — |
| Omni-MATH | 61.6% | — |
| MATH Level 5 | 85% | — |
| FrontierMath (Feb 2025 set) | 4.5% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4 leads
Claude Opus 4: 43.9 (#82), GPT-5.3 Chat: 38.2 (#137)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Expert | 1384 | 1397 |
| GPQA Diamond | 76.3% | — |
| Humanity's Last Exam | 10.7% | — |
| MMLU-Pro | 87.5% | — |
| Confabulations | 15.9% | — |
| Vectara Hallucination Rate | 12% | — |
| GPQA (HELM) | 70.8% | — |
Multimodal Not comparable
Claude Opus 4: 30.9 (#101), GPT-5.3 Chat: —
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Vision | 1192 | — |
| GeoBench | 49% | — |
| VPCT | 38% | — |
Multilingual GPT-5.3 Chat leads
Claude Opus 4: 49.0 (#133), GPT-5.3 Chat: 50.5 (#119)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Non-English | 1362 | 1383 |
| LMArena Chinese | 1386 | 1433 |
| LMArena French | 1370 | 1398 |
| LMArena German | 1391 | 1384 |
| LMArena Japanese | 1332 | 1351 |
| LMArena Korean | 1318 | 1347 |
| LMArena Russian | 1392 | 1400 |
| LMArena Spanish | 1388 | 1371 |
Instruction Following Claude Opus 4 leads
Claude Opus 4: 77.3 (#26), GPT-5.3 Chat: 73.0 (#124)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Instruction Following | 1406 | 1378 |
| IFEval | 91.8% | — |
Long Context GPT-5.3 Chat leads
Claude Opus 4: 39.5 (#167), GPT-5.3 Chat: 42.6 (#115)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Longer Query | 1422 | 1396 |
| Fiction.LiveBench | 61.1% | — |
Writing & Preference GPT-5.3 Chat leads
Claude Opus 4: 61.4 (#85), GPT-5.3 Chat: 63.3 (#65)
| Benchmark | Claude Opus 4 | GPT-5.3 Chat |
|---|---|---|
| LMArena Text | 1377 | 1389 |
| LMArena Creative Writing | 1386 | 1356 |
| EQ-Bench Creative Writing | 1580 | 1690 |
| LMArena Multi-Turn | 1396 | 1413 |
| Short-Story Creative Writing | 83.6% | — |
| WildBench | 85.2% | — |
Frequently asked questions
Is Claude Opus 4 better than GPT-5.3 Chat?
Claude Opus 4 and GPT-5.3 Chat score almost the same on the Noometry Index (42.9 vs 42.1), so choose on price, context window or the category you care about most.
Which is cheaper, Claude Opus 4 or GPT-5.3 Chat?
GPT-5.3 Chat is cheaper. It lists at $1.75 per million input tokens and $14 per million output tokens; Claude Opus 4 lists at $15 and $75.
Is Claude Opus 4 or GPT-5.3 Chat better for coding?
Claude Opus 4 scores higher on coding benchmarks: 47.8 versus 40.8 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4 does, with 200K tokens against 128K.
How many benchmarks do Claude Opus 4 and GPT-5.3 Chat share?
18 benchmarks have published results for both models. Claude Opus 4 has 56 scored results on Noometry and GPT-5.3 Chat has 18.