Model comparison
Claude Opus 4.1 vs GPT-4o mini
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 25.4 on the Noometry Index. GPT-4o mini costs 114× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 30 shared benchmarks.
Summary
- They share 30 benchmarks with published results for both. Claude Opus 4.1 scores higher in 10 categories and GPT-4o mini in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Opus 4.1 leads 41.9 to 17.7.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 6.9% for GPT-4o mini.
- GPT-4o mini is cheaper at $0.15 / $0.60 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- Claude Opus 4.1 accepts more context: 200K tokens versus 128K.
Side by side
| Claude Opus 4.1 | GPT-4o mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 25.4 |
| Released | 2025-08-05 | 2024-07-18 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 128K |
| Max output | 32K | 16K |
| Input $ / M tokens | $15 | $0.15 |
| Output $ / M tokens | $75 | $0.60 |
| Results tracked | 48 | 60 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.3 (#69), GPT-4o mini: 21.6 (#330)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| WeirdML | 45.9% | 11.8% |
| LMArena Coding | 1479 | 1290 |
| SWE-bench Verified | 73.3% | — |
| Aider Polyglot | — | 3.6% |
| LMArena WebDev | 1390 | — |
| BigCodeBench Instruct | — | 46.1% |
| LiveBench Coding | — | 43.1% |
| BigCodeBench Complete | — | 57.4% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
| HumanEval+ | — | 83.5% |
| MBPP+ | — | 72.2% |
Agentic & Tool Use Claude Opus 4.1 leads
Claude Opus 4.1: 34.8 (#38), GPT-4o mini: 27.2 (#95)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| Terminal-Bench | 38% | — |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| BALROG | — | 17.4% |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 31.6 (#70), GPT-4o mini: 8.7 (#343)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| SimpleBench | 60% | 10.7% |
| Chess Puzzles | 7% | 0% |
| LMArena Hard Prompts | 1443 | 1267 |
| Mystery Game Puzzles | 21% | 12% |
| DTBench | 80% | 54.4% |
| LMCA | 37.1% | 10.4% |
| Epoch Capabilities Index | 144.11 | 126.56 |
| ARC-AGI-2 | — | 0% |
| Kagi LLM Benchmark | — | 28.8% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| LiveBench Reasoning | — | 32.8% |
| LiveBench Data Analysis | — | 50% |
| ForecastBench | 62 | — |
| LiveBench | — | 41.3% |
| PIQA | — | 88.7% |
Math Claude Opus 4.1 leads
Claude Opus 4.1: 22.0 (#267), GPT-4o mini: 9.9 (#307)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 0.7% |
| OTIS Mock AIME 2024-2025 | 68.9% | 6.9% |
| LMArena Math | 1430 | 1267 |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 28% |
| LiveBench Math | — | 36.3% |
| MATH Level 5 | — | 52.6% |
| FrontierMath (Feb 2025 set) | 7.2% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
| GSM8K | — | 91.3% |
Knowledge Claude Opus 4.1 leads
Claude Opus 4.1: 41.9 (#93), GPT-4o mini: 17.7 (#279)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| GPQA Diamond | 77.3% | 37.7% |
| Confabulations | 17.1% | 37.2% |
| LMArena Expert | 1439 | 1235 |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 8.3% |
| MMLU-Pro | — | 60.3% |
| Vectara Hallucination Rate | 11.8% | — |
| GPQA (HELM) | — | 36.8% |
| BoolQ | — | 88.7% |
| MMLU | — | 81.8% |
Multimodal Too close to call
Claude Opus 4.1: 26.2 (#114), GPT-4o mini: 25.3 (#117)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| VPCT | 35% | 34% |
| LMArena Vision | — | 1066 |
| Video-MME | — | 64.8% |
| GeoBench | — | 64% |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.1 (#90), GPT-4o mini: 42.2 (#194)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Non-English | 1405 | 1266 |
| LMArena Chinese | 1427 | 1264 |
| LMArena French | 1432 | 1296 |
| LMArena German | 1412 | 1272 |
| LMArena Japanese | 1378 | 1216 |
| LMArena Korean | 1381 | 1195 |
| LMArena Russian | 1421 | 1275 |
| LMArena Spanish | 1448 | 1276 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.8 (#53), GPT-4o mini: 62.1 (#234)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Instruction Following | 1436 | 1259 |
| LiveBench Instruction Following | — | 56.8% |
| IFEval | — | 78.2% |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#60), GPT-4o mini: 39.1 (#181)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Longer Query | 1455 | 1289 |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.6 (#70), GPT-4o mini: 39.7 (#243)
| Benchmark | Claude Opus 4.1 | GPT-4o mini |
|---|---|---|
| LMArena Text | 1419 | 1286 |
| LMArena Creative Writing | 1412 | 1268 |
| Short-Story Creative Writing | 84.7% | 67.2% |
| LMArena Multi-Turn | 1444 | 1285 |
| EQ-Bench Creative Writing | — | 873 |
| WildBench | — | 79.1% |
| LiveBench Language | — | 28.6% |
Frequently asked questions
Is Claude Opus 4.1 better than GPT-4o mini?
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 25.4 on the Noometry Index. GPT-4o mini costs 114× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Which is cheaper, Claude Opus 4.1 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 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or GPT-4o mini better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.3 versus 21.6 in the Noometry coding category.
Which has the bigger context window?
Claude Opus 4.1 does, with 200K tokens against 128K.
How many benchmarks do Claude Opus 4.1 and GPT-4o mini share?
30 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-4o mini has 60.