Model comparison
Claude Opus 4.1 vs GPT-4.1 mini
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 43× less per token, which makes it the better buy when Claude Opus 4.1's lead doesn't matter for your workload.
Last verified . 27 shared benchmarks.
Summary
- They share 27 benchmarks with published results for both. Claude Opus 4.1 scores higher in 8 categories and GPT-4.1 mini in 2 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Opus 4.1 leads 31.6 to 10.9.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 68.9% for Claude Opus 4.1 and 44.7% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 200K.
Side by side
| Claude Opus 4.1 | GPT-4.1 mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 40.8 | 33.5 |
| Released | 2025-08-05 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 200K | 1.05M |
| Max output | 32K | 33K |
| Input $ / M tokens | $15 | $0.40 |
| Output $ / M tokens | $75 | $1.60 |
| Results tracked | 48 | 47 |
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Category by category
Coding Claude Opus 4.1 leads
Claude Opus 4.1: 44.3 (#69), GPT-4.1 mini: 30.4 (#286)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| WeirdML | 45.9% | 37.6% |
| LMArena Coding | 1479 | 1367 |
| SWE-bench Verified | 73.3% | — |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| LMArena WebDev | 1390 | — |
| SciCode | — | 40.4% |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 674.77 | — |
| AlgoTune | 1.34 | — |
Agentic & Tool Use Claude Opus 4.1 leads
Claude Opus 4.1: 34.8 (#38), GPT-4.1 mini: 33.0 (#52)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| Terminal-Bench | 38% | — |
| Berkeley Function Calling Leaderboard | — | 50.5% |
| GDPval | 43.6% | — |
| Cybench | 42% | — |
| DeepResearch Bench | 48.3% | — |
| LMArena Search | 1148 | — |
| METR Time Horizons | 66.8% | — |
Reasoning Claude Opus 4.1 leads
Claude Opus 4.1: 31.6 (#70), GPT-4.1 mini: 10.9 (#335)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| Chess Puzzles | 7% | 7% |
| LMArena Hard Prompts | 1443 | 1349 |
| Mystery Game Puzzles | 21% | 7% |
| DTBench | 80% | 68.8% |
| LMCA | 37.1% | 21.1% |
| Epoch Capabilities Index | 144.11 | 135.01 |
| ARC-AGI-2 | — | 0% |
| SimpleBench | 60% | — |
| Kagi LLM Benchmark | — | 48.6% |
| ARC-AGI-1 | — | 3.5% |
| CritPt | — | 0% |
| EnigmaEval | 7.2% | — |
| EBR-Bench | 7.9% | — |
| ForecastBench | 62 | — |
Math GPT-4.1 mini leads
Claude Opus 4.1: 22.0 (#267), GPT-4.1 mini: 23.1 (#264)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| FrontierMath (Tiers 1-3) | 12.6% | 6.7% |
| OTIS Mock AIME 2024-2025 | 68.9% | 44.7% |
| LMArena Math | 1430 | 1343 |
| FrontierMath (Feb 2025 set) | 7.2% | 4.5% |
| FrontierMath Tier 4 | 2.4% | — |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Claude Opus 4.1 leads
Claude Opus 4.1: 41.9 (#93), GPT-4.1 mini: 34.7 (#183)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 77.3% | 65.8% |
| LMArena Expert | 1439 | 1338 |
| Humanity's Last Exam | 11.5% | — |
| SimpleQA Verified | — | 12.7% |
| MMLU-Pro | — | 78.3% |
| Confabulations | 17.1% | — |
| Vectara Hallucination Rate | 11.8% | — |
| GPQA (HELM) | — | 61.4% |
Multimodal GPT-4.1 mini leads
Claude Opus 4.1: 26.2 (#114), GPT-4.1 mini: 35.2 (#77)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | — | 1181 |
| VPCT | 35% | — |
Multilingual Claude Opus 4.1 leads
Claude Opus 4.1: 52.1 (#90), GPT-4.1 mini: 45.9 (#161)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1405 | 1318 |
| LMArena Chinese | 1427 | 1329 |
| LMArena French | 1432 | 1357 |
| LMArena German | 1412 | 1349 |
| LMArena Japanese | 1378 | 1291 |
| LMArena Korean | 1381 | 1298 |
| LMArena Russian | 1421 | 1324 |
| LMArena Spanish | 1448 | 1319 |
Instruction Following Claude Opus 4.1 leads
Claude Opus 4.1: 75.8 (#53), GPT-4.1 mini: 73.9 (#113)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1436 | 1332 |
| IFEval | — | 90.4% |
Long Context Claude Opus 4.1 leads
Claude Opus 4.1: 44.5 (#60), GPT-4.1 mini: 31.8 (#270)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1455 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Claude Opus 4.1 leads
Claude Opus 4.1: 62.6 (#70), GPT-4.1 mini: 48.8 (#193)
| Benchmark | Claude Opus 4.1 | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1419 | 1341 |
| LMArena Creative Writing | 1412 | 1300 |
| LMArena Multi-Turn | 1444 | 1354 |
| Short-Story Creative Writing | 84.7% | — |
| EQ-Bench Creative Writing | — | 1147 |
| WildBench | — | 83.8% |
Frequently asked questions
Is Claude Opus 4.1 better than GPT-4.1 mini?
Claude Opus 4.1 is the stronger model overall, scoring 40.8 to 33.5 on the Noometry Index. GPT-4.1 mini costs 43× 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-4.1 mini?
GPT-4.1 mini is cheaper. It lists at $0.40 per million input tokens and $1.60 per million output tokens; Claude Opus 4.1 lists at $15 and $75.
Is Claude Opus 4.1 or GPT-4.1 mini better for coding?
Claude Opus 4.1 scores higher on coding benchmarks: 44.3 versus 30.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 200K.
How many benchmarks do Claude Opus 4.1 and GPT-4.1 mini share?
27 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GPT-4.1 mini has 47.