Model comparison
Claude Opus 4.5 vs GPT-4o mini
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.5 on the Noometry Index. GPT-4o mini costs 38× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Last verified . 34 shared benchmarks.
Summary
- They share 34 benchmarks with published results for both. Claude Opus 4.5 scores higher in 10 categories and GPT-4o mini in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.5 leads 56.5 to 17.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 86.1% for Claude Opus 4.5 and 6.9% for GPT-4o mini.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $5 / $25 for Claude Opus 4.5.
- Claude Opus 4.5 accepts more context: 200K tokens versus 128K.
Side by side
| Claude Opus 4.5 | GPT-4o mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.5 | 25.5 |
| Released | 2025-11-01 | 2024-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 128K |
| Max output | 64K | 16K |
| Input $ / M tokens | $5 | $0.15 |
| Output $ / M tokens | $25 | $0.60 |
| Results tracked | 69 | 60 |
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Category by category
Coding Claude Opus 4.5 leads
Claude Opus 4.5: 54.8 (#27), GPT-4o mini: 22.0 (#335)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| WeirdML | 63.7% | 11.8% |
| LMArena Coding | 1504 | 1290 |
| SWE-bench Verified | 76.7% | — |
| SWE-bench Verified (bash only) | 76.8% | — |
| Aider Polyglot | — | 3.6% |
| LMArena WebDev | 1494 | — |
| SWE-bench Multilingual | 70.7% | — |
| GSO | 26.5% | — |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| ALE-Bench | 1,025 | — |
| AlgoTune | 1.77 | — |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Claude Opus 4.5 leads
Claude Opus 4.5: 47.3 (#12), GPT-4o mini: 27.5 (#101)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| BALROG | 43.5% | 17.4% |
| Terminal-Bench | 63.1% | — |
| Berkeley Function Calling Leaderboard | 77.5% | — |
| GDPval | 45.5% | — |
| Remote Labor Index | 3.8% | — |
| τ²-bench Airline | 84% | — |
| τ²-bench Banking | 24.7% | — |
| τ²-bench Retail | 79.6% | — |
| τ²-bench Telecom | 92.3% | — |
| Cybench | 82% | — |
| DeepResearch Bench | 54.8% | — |
| OSWorld | 66.3% | — |
| LMArena Search | 1180 | — |
| METR Time Horizons | 75% | — |
| Vending-Bench 2 | 4,967 | — |
Reasoning Claude Opus 4.5 leads
Claude Opus 4.5: 42.6 (#51), GPT-4o mini: 8.7 (#347)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| ARC-AGI-2 | 37.6% | 0% |
| SimpleBench | 62% | 10.7% |
| Kagi LLM Benchmark | 80.2% | 28.8% |
| Chess Puzzles | 12% | 0% |
| LMArena Hard Prompts | 1476 | 1267 |
| Mystery Game Puzzles | 22% | 12% |
| DTBench | 89.9% | 54.4% |
| LMCA | 44.5% | 10.4% |
| Epoch Capabilities Index | 150.09 | 126.56 |
| NYT Connections (extended) | 52.5% | — |
| ARC-AGI-1 | 80% | — |
| EnigmaEval | 11.9% | — |
| EBR-Bench | 14.3% | — |
| LiveBench Reasoning | — | 32.8% |
| LiveBench Data Analysis | — | 50% |
| ForecastBench | 60.7 | — |
| LiveBench | — | 41.3% |
| PIQA | — | 88.7% |
Math Claude Opus 4.5 leads
Claude Opus 4.5: 38.6 (#132), GPT-4o mini: 10.4 (#314)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 34.4% | 0.7% |
| OTIS Mock AIME 2024-2025 | 86.1% | 6.9% |
| LMArena Math | 1463 | 1267 |
| FrontierMath Tier 4 | 4.9% | — |
| ProofBench | 36% | — |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| FrontierMath (Feb 2025 set) | 20.7% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 91.3% |
Knowledge Claude Opus 4.5 leads
Claude Opus 4.5: 56.5 (#44), GPT-4o mini: 17.7 (#284)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| GPQA Diamond | 86% | 37.7% |
| SimpleQA Verified | 45.7% | 8.3% |
| LMArena Expert | 1487 | 1235 |
| Humanity's Last Exam | 25.2% | — |
| MMLU-Pro | — | 60.3% |
| Confabulations | — | 37.2% |
| Vectara Hallucination Rate | 10.9% | — |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |
Multimodal Claude Opus 4.5 leads
Claude Opus 4.5: 31.4 (#107), GPT-4o mini: 25.9 (#122)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| GeoBench | 75% | 64% |
| VPCT | 40% | 34% |
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| Furniture Assembly | 28.3% | — |
| LMArena Document | 1462 | — |
Multilingual Claude Opus 4.5 leads
Claude Opus 4.5: 54.3 (#47), GPT-4o mini: 42.0 (#199)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1438 | 1266 |
| LMArena Chinese | 1470 | 1265 |
| LMArena French | 1471 | 1297 |
| LMArena German | 1449 | 1272 |
| LMArena Japanese | 1416 | 1216 |
| LMArena Korean | 1424 | 1195 |
| LMArena Russian | 1447 | 1275 |
| LMArena Spanish | 1458 | 1276 |
Instruction Following Claude Opus 4.5 leads
Claude Opus 4.5: 77.5 (#19), GPT-4o mini: 61.9 (#239)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 1478 | 1258 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
Long Context Claude Opus 4.5 leads
Claude Opus 4.5: 46.5 (#22), GPT-4o mini: 39.1 (#186)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1480 | 1289 |
| CL-bench | 21.1% | — |
Writing & Preference Claude Opus 4.5 leads
Claude Opus 4.5: 68.1 (#28), GPT-4o mini: 39.5 (#248)
| Benchmark | Claude Opus 4.5 | GPT-4o mini |
|---|---|---|
| LMArena Text | 1451 | 1286 |
| LMArena Creative Writing | 1445 | 1268 |
| EQ-Bench Creative Writing | 1687 | 873 |
| LMArena Multi-Turn | 1466 | 1285 |
| Short-Story Creative Writing | — | 67.2% |
| WildBench | — | 79.1% |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is Claude Opus 4.5 better than GPT-4o mini?
Claude Opus 4.5 is the stronger model overall, scoring 50.5 to 25.5 on the Noometry Index. GPT-4o mini costs 38× less per token, which makes it the better buy when Claude Opus 4.5's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.5 or GPT-4o mini?
GPT-4o mini is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Claude Opus 4.5 lists at $5 and $25.
Is Claude Opus 4.5 or GPT-4o mini better for coding?
Claude Opus 4.5 scores higher on coding benchmarks: 54.8 versus 22.0 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.5 does, with 200K tokens against 128K.
How many benchmarks do Claude Opus 4.5 and GPT-4o mini share?
34 benchmarks have published results for both models. Claude Opus 4.5 has 69 scored results on Noometry and GPT-4o mini has 60.