Model comparison
GPT-6.1 Sol vs phi-3-medium 14B
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.7 on the Noometry Index.
Last verified . 2 shared benchmarks.
Summary
- They share 2 benchmarks with published results for both. GPT-6.1 Sol 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 math, where GPT-6.1 Sol leads 93.7 to 27.3.
- The biggest single-benchmark swing is GPQA Diamond: 95.4% for GPT-6.1 Sol and 27.6% for phi-3-medium 14B.
- phi-3-medium 14B has downloadable open weights; the other is API-only.
Side by side
| GPT-6.1 Sol | phi-3-medium 14B | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 65.6 | 29.7 |
| Released | 2026-09-29 | 2024-04-23 |
| Weights | Proprietary | Open |
| Context window | 1.05M | — |
| Max output | 128K | — |
| Input $ / M tokens | $2 | — |
| Output $ / M tokens | $10 | — |
| Results tracked | 34 | 13 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), phi-3-medium 14B: 36.8 (#201)
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| BigCodeBench Instruct | — | 37.6% |
| LMArena Coding | 1487 | — |
| BigCodeBench Complete | — | 48.7% |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning Not comparable
GPT-6.1 Sol: 81.9 (#2), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| Epoch Capabilities Index | 166.09 | 121.23 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| Chess Puzzles | 61% | — |
| EBR-Bench | 54.3% | — |
| LMArena Hard Prompts | 1466 | — |
| Mystery Game Puzzles | 80% | — |
| Adversarial NLI | — | 55.8% |
| BIG-Bench Hard | — | 81.4% |
| HellaSwag | — | 82.4% |
| WinoGrande | — | 81.5% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), phi-3-medium 14B: 27.3 (#250)
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| LMArena Math | 1464 | — |
| MATH Level 5 | — | 17.6% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), phi-3-medium 14B: 9.1 (#306)
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| GPQA Diamond | 95.4% | 27.6% |
| SimpleQA Verified | 73.9% | — |
| LMArena Expert | 1502 | — |
| ARC (AI2) Challenge | — | 91.6% |
| MMLU | — | 78% |
| OpenBookQA | — | 87.4% |
| TriviaQA | — | 73.9% |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual Not comparable
GPT-6.1 Sol: 54.3 (#46), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| LMArena Non-English | 1438 | — |
| LMArena Chinese | 1477 | — |
| LMArena Russian | 1455 | — |
Instruction Following Not comparable
GPT-6.1 Sol: 77.0 (#29), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| LMArena Instruction Following | 1468 | — |
Long Context Not comparable
GPT-6.1 Sol: 44.9 (#54), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| LMArena Longer Query | 1465 | — |
Writing & Preference Not comparable
GPT-6.1 Sol: 63.6 (#63), phi-3-medium 14B: —
| Benchmark | GPT-6.1 Sol | phi-3-medium 14B |
|---|---|---|
| LMArena Text | 1447 | — |
| LMArena Creative Writing | 1432 | — |
| LMArena Multi-Turn | 1449 | — |
Frequently asked questions
Is GPT-6.1 Sol better than phi-3-medium 14B?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 29.7 on the Noometry Index.
Is GPT-6.1 Sol or phi-3-medium 14B better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 36.8 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and phi-3-medium 14B share?
2 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and phi-3-medium 14B has 13.