Model comparison
Kimi K2.5 vs Phi-4
Kimi K2.5 is the stronger model overall, scoring 48.1 to 31.2 on the Noometry Index. Phi-4 costs 10× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Last verified . 22 shared benchmarks.
MicrosoftSummary
- They share 22 benchmarks with published results for both. Kimi K2.5 scores higher in 9 categories and Phi-4 in 0 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 51.8 to 20.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 92.2% for Kimi K2.5 and 13.8% for Phi-4.
- Phi-4 is cheaper at $0.07 / $0.14 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- Kimi K2.5 accepts more context: 262K tokens versus 128K.
Side by side
| Kimi K2.5 | Phi-4 | |
|---|---|---|
| Provider | Moonshot AI | Microsoft |
| Noometry Index | 48.1 | 31.2 |
| Released | 2026-01-27 | 2024-12-11 |
| Weights | Open | Open |
| Context window | 262K | 128K |
| Max output | 262K | 4K |
| Input $ / M tokens | $0.45 | $0.07 |
| Output $ / M tokens | $2.25 | $0.14 |
| Results tracked | 51 | 37 |
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Category by category
Coding Kimi K2.5 leads
Kimi K2.5: 48.8 (#53), Phi-4: 34.4 (#239)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Coding | 1474 | 1231 |
| SWE-bench Verified | 73.8% | — |
| SWE-bench Verified (bash only) | 70.8% | — |
| LMArena WebDev | 1437 | — |
| SWE-bench Multilingual | 67.3% | — |
| SciCode | 49% | — |
| WeirdML | 45.6% | — |
| BigCodeBench Instruct | — | 45.5% |
| LiveBench Coding | — | 30.7% |
| BigCodeBench Complete | — | 55.4% |
| ALE-Bench | 821.65 | — |
Agentic & Tool Use Kimi K2.5 leads
Kimi K2.5: 34.2 (#48), Phi-4: 22.8 (#128)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| Terminal-Bench | 43.2% | — |
| Berkeley Function Calling Leaderboard | — | 28.8% |
| OSWorld | 63.3% | — |
| BALROG | — | 11.6% |
| Vending-Bench 2 | 1,198 | — |
Reasoning Kimi K2.5 leads
Kimi K2.5: 31.2 (#80), Phi-4: 17.7 (#291)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| Chess Puzzles | 12% | 1% |
| LMArena Hard Prompts | 1453 | 1220 |
| Epoch Capabilities Index | 148.03 | 130.42 |
| ARC-AGI-2 | 11.8% | — |
| SimpleBench | 46.8% | — |
| Kagi LLM Benchmark | 78.5% | — |
| NYT Connections (extended) | 69.9% | — |
| ARC-AGI-1 | 65.3% | — |
| CritPt | 3.1% | — |
| EnigmaEval | 3.4% | — |
| Thematic Generalization | 69.4% | — |
| LiveBench Reasoning | — | 47.8% |
| LiveBench Data Analysis | — | 45.2% |
| LiveBench | — | 41.6% |
Math Kimi K2.5 leads
Kimi K2.5: 51.8 (#53), Phi-4: 20.8 (#285)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 92.2% | 13.8% |
| LMArena Math | 1470 | 1246 |
| MathArena Final-Answer Competitions | 62.3% | — |
| LiveBench Math | — | 42% |
| MATH Level 5 | — | 64.9% |
| FrontierMath (Feb 2025 set) | 27.9% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Kimi K2.5 leads
Kimi K2.5: 53.6 (#56), Phi-4: 32.6 (#209)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| GPQA Diamond | 87.6% | 56.1% |
| Vectara Hallucination Rate | 14.2% | 3.7% |
| LMArena Expert | 1466 | 1203 |
| Humanity's Last Exam | 24.4% | — |
| SimpleQA Verified | 34.3% | — |
| Confabulations | — | 29.4% |
| MMLU | — | 84.8% |
Multimodal Not comparable
Kimi K2.5: 41.1 (#39), Phi-4: —
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Vision | 1269 | — |
| LMArena Document | 1430 | — |
Multilingual Kimi K2.5 leads
Kimi K2.5: 53.9 (#53), Phi-4: 37.2 (#237)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Non-English | 1433 | 1197 |
| LMArena Chinese | 1495 | 1212 |
| LMArena French | 1454 | 1224 |
| LMArena German | 1441 | 1222 |
| LMArena Japanese | 1421 | 1158 |
| LMArena Korean | 1410 | 1151 |
| LMArena Russian | 1435 | 1209 |
| LMArena Spanish | 1450 | 1234 |
Instruction Following Kimi K2.5 leads
Kimi K2.5: 75.3 (#64), Phi-4: 60.4 (#251)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Instruction Following | 1431 | 1201 |
| LiveBench Instruction Following | — | 58.4% |
Long Context Kimi K2.5 leads
Kimi K2.5: 52.1 (#7), Phi-4: 36.9 (#226)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Longer Query | 1445 | 1217 |
| Fiction.LiveBench | 86.1% | — |
| CL-bench | 19.3% | — |
| CL-bench Life | 13.2% | — |
Writing & Preference Kimi K2.5 leads
Kimi K2.5: 65.1 (#53), Phi-4: 40.5 (#244)
| Benchmark | Kimi K2.5 | Phi-4 |
|---|---|---|
| LMArena Text | 1445 | 1217 |
| LMArena Creative Writing | 1423 | 1182 |
| LMArena Multi-Turn | 1444 | 1206 |
| Short-Story Creative Writing | — | 62.6% |
| EQ-Bench Creative Writing | 1579 | — |
| LiveBench Language | — | 25.6% |
Frequently asked questions
Is Kimi K2.5 better than Phi-4?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 31.2 on the Noometry Index. Phi-4 costs 10× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.
Which is cheaper, Kimi K2.5 or Phi-4?
Phi-4 is cheaper. It lists at $0.07 per million input tokens and $0.14 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.
Is Kimi K2.5 or Phi-4 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 34.4 in the Noometry coding category.
Which has the bigger context window?
Kimi K2.5 does, with 262K tokens against 128K.
How many benchmarks do Kimi K2.5 and Phi-4 share?
22 benchmarks have published results for both models. Kimi K2.5 has 51 scored results on Noometry and Phi-4 has 37.