Model comparison
Phi 3 Mini 4k Instruct vs Qwen2.5-VL 72B Instruct
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 27.9 on the Noometry Index.
Last verified . 0 shared benchmarks.
Microsoft
Alibaba (Qwen)Summary
- The widest gap is in reasoning, where Qwen2.5-VL 72B Instruct leads 20.7 to 14.1.
Side by side
| Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct | |
|---|---|---|
| Provider | Microsoft | Alibaba (Qwen) |
| Noometry Index | 27.9 | 29.9 |
| Released | 2024-04-23 | 2024-09 |
| Weights | Open | Open |
| Context window | — | 131K |
| Max output | — | 8K |
| Input $ / M tokens | — | $2.80 |
| Output $ / M tokens | — | $8.40 |
| Results tracked | 35 | 6 |
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Category by category
Coding Not comparable
Phi 3 Mini 4k Instruct: 26.6 (#323), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LiveBench Coding | 15.5% | — |
| LMArena Coding | 1093 | — |
| HumanEval+ | 59.1% | — |
| MBPP+ | 54.2% | — |
Agentic & Tool Use Not comparable
Phi 3 Mini 4k Instruct: —, Qwen2.5-VL 72B Instruct: 18.6 (#144)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| OSWorld | — | 5% |
Reasoning Qwen2.5-VL 72B Instruct leads
Phi 3 Mini 4k Instruct: 14.1 (#328), Qwen2.5-VL 72B Instruct: 20.7 (#233)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| Kagi LLM Benchmark | — | 36% |
| Chess Puzzles | 0% | — |
| LiveBench Reasoning | 26.8% | — |
| LMArena Hard Prompts | 1072 | — |
| LiveBench Data Analysis | 34.7% | — |
| Adversarial NLI | 52.8% | — |
| BIG-Bench Hard | 71.7% | — |
| HellaSwag | 76.7% | — |
| LiveBench | 22.4% | — |
| WinoGrande | 70.8% | — |
Math Not comparable
Phi 3 Mini 4k Instruct: 26.6 (#257), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LiveBench Math | 15.7% | — |
| LMArena Math | 1111 | — |
Knowledge Not comparable
Phi 3 Mini 4k Instruct: 28.5 (#246), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Expert | 1045 | — |
| ARC (AI2) Challenge | 84.9% | — |
| MMLU | 68.8% | — |
| OpenBookQA | 88% | — |
| TriviaQA | 64% | — |
Multimodal Not comparable
Phi 3 Mini 4k Instruct: —, Qwen2.5-VL 72B Instruct: 33.5 (#97)
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Vision | — | 1107 |
| Video-MME | — | 73.5% |
| GeoBench | — | 62% |
| SpatialViz-Bench | — | 33.3% |
Multilingual Not comparable
Phi 3 Mini 4k Instruct: 26.3 (#280), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Non-English | 1021 | — |
| LMArena Chinese | 1021 | — |
| LMArena French | 1076 | — |
| LMArena German | 1044 | — |
| LMArena Japanese | 935 | — |
| LMArena Korean | 905 | — |
| LMArena Russian | 1022 | — |
| LMArena Spanish | 1085 | — |
Instruction Following Not comparable
Phi 3 Mini 4k Instruct: 47.7 (#303), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LiveBench Instruction Following | 39.1% | — |
| LMArena Instruction Following | 1053 | — |
Long Context Not comparable
Phi 3 Mini 4k Instruct: 31.7 (#276), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Longer Query | 1044 | — |
Writing & Preference Not comparable
Phi 3 Mini 4k Instruct: 27.6 (#300), Qwen2.5-VL 72B Instruct: —
| Benchmark | Phi 3 Mini 4k Instruct | Qwen2.5-VL 72B Instruct |
|---|---|---|
| LMArena Text | 1073 | — |
| LMArena Creative Writing | 1037 | — |
| LMArena Multi-Turn | 1018 | — |
| LiveBench Language | 9.2% | — |
Frequently asked questions
Is Phi 3 Mini 4k Instruct better than Qwen2.5-VL 72B Instruct?
Qwen2.5-VL 72B Instruct is the stronger model overall, scoring 29.9 to 27.9 on the Noometry Index.
How many benchmarks do Phi 3 Mini 4k Instruct and Qwen2.5-VL 72B Instruct share?
0 benchmarks have published results for both models. Phi 3 Mini 4k Instruct has 35 scored results on Noometry and Qwen2.5-VL 72B Instruct has 6.