Model comparison
Claude Sonnet 4.6 vs Phi 3 Mini 4k Instruct
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 27.9 on the Noometry Index.
Last verified . 18 shared benchmarks.
MicrosoftSummary
- They share 18 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 8 categories and Phi 3 Mini 4k Instruct in 0 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where Claude Sonnet 4.6 leads 70.2 to 27.6.
- The biggest single-benchmark swing is Chess Puzzles: 13% for Claude Sonnet 4.6 and 0% for Phi 3 Mini 4k Instruct.
- Phi 3 Mini 4k Instruct has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | Anthropic | Microsoft |
| Noometry Index | 50.3 | 27.9 |
| Released | 2026-02-17 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1M | — |
| Max output | 128K | — |
| Input $ / M tokens | $3 | — |
| Output $ / M tokens | $15 | — |
| Results tracked | 57 | 35 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1504 | 1093 |
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| LiveBench Coding | — | 15.5% |
| ALE-Bench | 1,327 | — |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), Phi 3 Mini 4k Instruct: —
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| Terminal-Bench | 53.4% | — |
| APEX-Agents | 43% | — |
| 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 (#45), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| Chess Puzzles | 13% | 0% |
| LMArena Hard Prompts | 1484 | 1072 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Thematic Generalization | 76.3% | — |
| LiveBench Reasoning | — | 26.8% |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LiveBench Data Analysis | — | 34.7% |
| LMCA | 46.5% | — |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 152.24 | — |
| ForecastBench | 62 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1462 | 1111 |
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LiveBench Math | — | 15.7% |
| FrontierMath (Feb 2025 set) | 32.4% | — |
| FrontierMath Tier 4 (v1) | 8.3% | — |
Knowledge Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 51.7 (#65), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1500 | 1045 |
| GPQA Diamond | 87.4% | — |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), Phi 3 Mini 4k Instruct: —
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 54.4 (#41), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1440 | 1021 |
| LMArena Chinese | 1491 | 1021 |
| LMArena French | 1465 | 1076 |
| LMArena German | 1428 | 1044 |
| LMArena Japanese | 1420 | 935 |
| LMArena Korean | 1411 | 905 |
| LMArena Russian | 1440 | 1022 |
| LMArena Spanish | 1464 | 1085 |
Instruction Following Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 77.4 (#25), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1475 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 45.3 (#44), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1479 | 1044 |
Writing & Preference Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 70.2 (#22), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | Claude Sonnet 4.6 | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1458 | 1073 |
| LMArena Creative Writing | 1435 | 1037 |
| LMArena Multi-Turn | 1464 | 1018 |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is Claude Sonnet 4.6 better than Phi 3 Mini 4k Instruct?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 27.9 on the Noometry Index.
Is Claude Sonnet 4.6 or Phi 3 Mini 4k Instruct better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 26.6 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and Phi 3 Mini 4k Instruct share?
18 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.