Model comparison
GPT-6.1 Sol vs Phi 3 Mini 4k Instruct
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.9 on the Noometry Index.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. GPT-6.1 Sol 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 reasoning, where GPT-6.1 Sol leads 81.9 to 14.1.
- The biggest single-benchmark swing is Chess Puzzles: 61% for GPT-6.1 Sol 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
| GPT-6.1 Sol | Phi 3 Mini 4k Instruct | |
|---|---|---|
| Provider | OpenAI | Microsoft |
| Noometry Index | 65.6 | 27.9 |
| 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 | 35 |
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Category by category
Coding GPT-6.1 Sol leads
GPT-6.1 Sol: 63.2 (#8), Phi 3 Mini 4k Instruct: 26.6 (#323)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Coding | 1487 | 1093 |
| DeepSWE | 75.2% | — |
| FrontierCode | 50.2% | — |
| LMArena WebDev | 1755 | — |
| SciCode | 55.8% | — |
| LiveBench Coding | — | 15.5% |
| HumanEval+ | — | 59.1% |
| MBPP+ | — | 54.2% |
Agentic & Tool Use Not comparable
GPT-6.1 Sol: 39.6 (#26), Phi 3 Mini 4k Instruct: —
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| APEX-Agents | 60% | — |
| GDP.pdf | 32% | — |
Reasoning GPT-6.1 Sol leads
GPT-6.1 Sol: 81.9 (#2), Phi 3 Mini 4k Instruct: 14.1 (#328)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| Chess Puzzles | 61% | 0% |
| LMArena Hard Prompts | 1466 | 1072 |
| ARC-AGI-2 | 94.2% | — |
| NYT Connections (extended) | 95.5% | — |
| ARC-AGI-1 | 98.5% | — |
| CritPt | 31.7% | — |
| EBR-Bench | 54.3% | — |
| LiveBench Reasoning | — | 26.8% |
| Mystery Game Puzzles | 80% | — |
| LiveBench Data Analysis | — | 34.7% |
| Adversarial NLI | — | 52.8% |
| BIG-Bench Hard | — | 71.7% |
| Epoch Capabilities Index | 166.09 | — |
| HellaSwag | — | 76.7% |
| LiveBench | — | 22.4% |
| WinoGrande | — | 70.8% |
Math GPT-6.1 Sol leads
GPT-6.1 Sol: 93.7 (#1), Phi 3 Mini 4k Instruct: 26.6 (#257)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Math | 1464 | 1111 |
| FrontierMath (Tiers 1-3) | 93.7% | — |
| FrontierMath Tier 4 | 100% | — |
| OTIS Mock AIME 2024-2025 | 100% | — |
| ProofBench | 99% | — |
| LiveBench Math | — | 15.7% |
Knowledge GPT-6.1 Sol leads
GPT-6.1 Sol: 71.8 (#4), Phi 3 Mini 4k Instruct: 28.5 (#246)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Expert | 1502 | 1045 |
| GPQA Diamond | 95.4% | — |
| SimpleQA Verified | 73.9% | — |
| ARC (AI2) Challenge | — | 84.9% |
| MMLU | — | 68.8% |
| OpenBookQA | — | 88% |
| TriviaQA | — | 64% |
Multimodal Not comparable
GPT-6.1 Sol: 52.7 (#5), Phi 3 Mini 4k Instruct: —
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Vision | 1288 | — |
| Furniture Assembly | 80% | — |
Multilingual GPT-6.1 Sol leads
GPT-6.1 Sol: 54.3 (#46), Phi 3 Mini 4k Instruct: 26.3 (#280)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Non-English | 1438 | 1021 |
| LMArena Chinese | 1477 | 1021 |
| LMArena Russian | 1455 | 1022 |
| LMArena French | — | 1076 |
| LMArena German | — | 1044 |
| LMArena Japanese | — | 935 |
| LMArena Korean | — | 905 |
| LMArena Spanish | — | 1085 |
Instruction Following GPT-6.1 Sol leads
GPT-6.1 Sol: 77.0 (#29), Phi 3 Mini 4k Instruct: 47.7 (#303)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Instruction Following | 1468 | 1053 |
| LiveBench Instruction Following | — | 39.1% |
Long Context GPT-6.1 Sol leads
GPT-6.1 Sol: 44.9 (#54), Phi 3 Mini 4k Instruct: 31.7 (#276)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Longer Query | 1465 | 1044 |
Writing & Preference GPT-6.1 Sol leads
GPT-6.1 Sol: 63.6 (#63), Phi 3 Mini 4k Instruct: 27.6 (#300)
| Benchmark | GPT-6.1 Sol | Phi 3 Mini 4k Instruct |
|---|---|---|
| LMArena Text | 1447 | 1073 |
| LMArena Creative Writing | 1432 | 1037 |
| LMArena Multi-Turn | 1449 | 1018 |
| LiveBench Language | — | 9.2% |
Frequently asked questions
Is GPT-6.1 Sol better than Phi 3 Mini 4k Instruct?
GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 27.9 on the Noometry Index.
Is GPT-6.1 Sol or Phi 3 Mini 4k Instruct better for coding?
GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 26.6 in the Noometry coding category.
How many benchmarks do GPT-6.1 Sol and Phi 3 Mini 4k Instruct share?
13 benchmarks have published results for both models. GPT-6.1 Sol has 34 scored results on Noometry and Phi 3 Mini 4k Instruct has 35.