Model comparison
Claude Sonnet 4.6 vs GPT-4.1 mini
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 33.5 on the Noometry Index. GPT-4.1 mini costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Last verified . 33 shared benchmarks.
Summary
- They share 33 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 10 categories and GPT-4.1 mini in 0 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where Claude Sonnet 4.6 leads 46.1 to 10.9.
- The biggest single-benchmark swing is ARC-AGI-1: 86.5% for Claude Sonnet 4.6 and 3.5% for GPT-4.1 mini.
- GPT-4.1 mini is cheaper at $0.40 / $1.60 per million input/output tokens, against $3 / $15 for Claude Sonnet 4.6.
- GPT-4.1 mini accepts more context: 1.05M tokens versus 1M.
Side by side
| Claude Sonnet 4.6 | GPT-4.1 mini | |
|---|---|---|
| Provider | Anthropic | OpenAI |
| Noometry Index | 50.1 | 33.5 |
| Released | 2026-02-17 | 2025-04-14 |
| Weights | Proprietary | Proprietary |
| Context window | 1M | 1.05M |
| Max output | 128K | 33K |
| Input $ / M tokens | $3 | $0.40 |
| Output $ / M tokens | $15 | $1.60 |
| Results tracked | 57 | 47 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.0 (#62), GPT-4.1 mini: 30.4 (#286)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| SciCode | 46.8% | 40.4% |
| WeirdML | 66.1% | 37.6% |
| LMArena Coding | 1504 | 1367 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| SWE-bench Verified (bash only) | — | 23.9% |
| Aider Polyglot | — | 32.4% |
| LMArena WebDev | 1521 | — |
| BigCodeBench Instruct | — | 48.9% |
| CadEval | — | 16% |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 39.1 (#26), GPT-4.1 mini: 33.0 (#52)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| Berkeley Function Calling Leaderboard | — | 50.5% |
| OSWorld 2.0 | 9.3% | — |
| DeepResearch Bench | 54.9% | — |
| OSWorld | 72.1% | — |
| ExploitBench | 23.6% | — |
| GBAEval | 48.8% | — |
| GDP.pdf | 18% | — |
| LMArena Search | 1221 | — |
| Vending-Bench 2 | 7,204 | — |
Reasoning Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.1 (#40), GPT-4.1 mini: 10.9 (#335)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| ARC-AGI-2 | 60.4% | 0% |
| ARC-AGI-1 | 86.5% | 3.5% |
| CritPt | 3.1% | 0% |
| Chess Puzzles | 13% | 7% |
| LMArena Hard Prompts | 1485 | 1349 |
| Mystery Game Puzzles | 16% | 7% |
| DTBench | 89.9% | 68.8% |
| LMCA | 46.5% | 21.1% |
| Epoch Capabilities Index | 152.25 | 135.01 |
| Kagi LLM Benchmark | — | 48.6% |
| NYT Connections (extended) | 80.9% | — |
| Thematic Generalization | 76.3% | — |
| ForecastBench | 62 | — |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.9 (#41), GPT-4.1 mini: 23.1 (#264)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | 44.7% |
| LMArena Math | 1463 | 1343 |
| FrontierMath (Feb 2025 set) | 32.4% | 4.5% |
| FrontierMath (Tiers 1-3) | — | 6.7% |
| ProofBench | 45% | — |
| Omni-MATH | — | 49.1% |
| MATH Level 5 | — | 87.3% |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.6 (#60), GPT-4.1 mini: 34.7 (#183)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| GPQA Diamond | 87.4% | 65.8% |
| SimpleQA Verified | 35.5% | 12.7% |
| LMArena Expert | 1500 | 1338 |
| MMLU-Pro | — | 78.3% |
| Vectara Hallucination Rate | 10.6% | — |
| GPQA (HELM) | — | 61.4% |
Multimodal Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 38.0 (#61), GPT-4.1 mini: 35.2 (#77)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| LMArena Vision | 1283 | 1181 |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.6 (#39), GPT-4.1 mini: 45.9 (#161)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| LMArena Non-English | 1440 | 1318 |
| LMArena Chinese | 1491 | 1329 |
| LMArena French | 1465 | 1357 |
| LMArena German | 1428 | 1349 |
| LMArena Japanese | 1419 | 1291 |
| LMArena Korean | 1411 | 1298 |
| LMArena Russian | 1440 | 1324 |
| LMArena Spanish | 1465 | 1319 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.6 (#23), GPT-4.1 mini: 73.9 (#113)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| LMArena Instruction Following | 1476 | 1332 |
| IFEval | — | 90.4% |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#40), GPT-4.1 mini: 31.8 (#270)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| LMArena Longer Query | 1479 | 1344 |
| Fiction.LiveBench | — | 44.4% |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.4 (#22), GPT-4.1 mini: 48.8 (#193)
| Benchmark | Claude Sonnet 4.6 | GPT-4.1 mini |
|---|---|---|
| LMArena Text | 1458 | 1341 |
| LMArena Creative Writing | 1435 | 1300 |
| EQ-Bench Creative Writing | 1810 | 1147 |
| LMArena Multi-Turn | 1464 | 1354 |
| WildBench | — | 83.8% |
| EQ-Bench 4 | 1207 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than GPT-4.1 mini?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.1 to 33.5 on the Noometry Index. GPT-4.1 mini costs 8.6× less per token, which makes it the better buy when Claude Sonnet 4.6's lead doesn't matter for your workload.
Which is cheaper, Claude Sonnet 4.6 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 Sonnet 4.6 lists at $3 and $15.
Is Claude Sonnet 4.6 or GPT-4.1 mini better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.0 versus 30.4 in the Noometry coding category.
Which has the bigger context window?
GPT-4.1 mini does, with 1.05M tokens against 1M.
How many benchmarks do Claude Sonnet 4.6 and GPT-4.1 mini share?
33 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and GPT-4.1 mini has 47.