Model comparison
Claude Sonnet 4.6 vs phi-3-medium 14B
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 29.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
MicrosoftSummary
- They share 2 benchmarks with published results for both. Claude Sonnet 4.6 scores higher in 3 categories and phi-3-medium 14B in 0 categories; 3 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Claude Sonnet 4.6 leads 51.7 to 9.1.
- The biggest single-benchmark swing is GPQA Diamond: 87.4% for Claude Sonnet 4.6 and 27.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| Claude Sonnet 4.6 | phi-3-medium 14B | |
|---|---|---|
| Provider | Anthropic | Microsoft |
| Noometry Index | 50.3 | 29.7 |
| 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 | 13 |
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Category by category
Coding Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 46.3 (#67), phi-3-medium 14B: 36.8 (#201)
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| SWE-bench Verified | 75.2% | — |
| DeepSWE | 29.9% | — |
| FrontierCode | 24.3% | — |
| LMArena WebDev | 1522 | — |
| SciCode | 46.8% | — |
| WeirdML | 66.1% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1504 | — |
| BigCodeBench Complete | — | 48.7% |
| ALE-Bench | 1,327 | — |
Agentic & Tool Use Not comparable
Claude Sonnet 4.6: 39.1 (#28), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| 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 Not comparable
Claude Sonnet 4.6: 46.1 (#45), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 152.24 | 121.23 |
| ARC-AGI-2 | 60.4% | — |
| NYT Connections (extended) | 80.9% | — |
| ARC-AGI-1 | 86.5% | — |
| CritPt | 3.1% | — |
| Chess Puzzles | 13% | — |
| Thematic Generalization | 76.3% | — |
| LMArena Hard Prompts | 1484 | — |
| Mystery Game Puzzles | 16% | — |
| DTBench | 89.9% | — |
| LMCA | 46.5% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| ForecastBench | 62 | — |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math Claude Sonnet 4.6 leads
Claude Sonnet 4.6: 52.9 (#49), phi-3-medium 14B: 27.3 (#250)
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 85.8% | — |
| ProofBench | 45% | — |
| LMArena Math | 1462 | — |
| MATH Level 5 | — | 17.6% |
| 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-medium 14B: 9.1 (#306)
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 87.4% | 27.6% |
| SimpleQA Verified | 35.5% | — |
| Vectara Hallucination Rate | 10.6% | — |
| LMArena Expert | 1500 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
Claude Sonnet 4.6: 38.0 (#68), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1283 | — |
| Blueprint-Bench 2 | 6.7% | — |
| LMArena Document | 1482 | — |
Multilingual Not comparable
Claude Sonnet 4.6: 54.4 (#41), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1440 | — |
| LMArena Chinese | 1491 | — |
| LMArena French | 1465 | — |
| LMArena German | 1428 | — |
| LMArena Japanese | 1420 | — |
| LMArena Korean | 1411 | — |
| LMArena Russian | 1440 | — |
| LMArena Spanish | 1464 | — |
Instruction Following Not comparable
Claude Sonnet 4.6: 77.4 (#25), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1475 | — |
Long Context Not comparable
Claude Sonnet 4.6: 45.3 (#44), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1479 | — |
Writing & Preference Not comparable
Claude Sonnet 4.6: 70.2 (#22), phi-3-medium 14B: —
| Benchmark | Claude Sonnet 4.6 | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1435 | — |
| EQ-Bench Creative Writing | 1810 | — |
| EQ-Bench 4 | 1207 | — |
| LMArena Multi-Turn | 1464 | — |
Frequently asked questions
Is Claude Sonnet 4.6 better than phi-3-medium 14B?
Claude Sonnet 4.6 is the stronger model overall, scoring 50.3 to 29.7 on the Noometry Index.
Is Claude Sonnet 4.6 or phi-3-medium 14B better for coding?
Claude Sonnet 4.6 scores higher on coding benchmarks: 46.3 versus 36.8 in the Noometry coding category.
How many benchmarks do Claude Sonnet 4.6 and phi-3-medium 14B share?
2 benchmarks have published results for both models. Claude Sonnet 4.6 has 57 scored results on Noometry and phi-3-medium 14B has 13.