Model comparison
Gemini 1.5 Pro (May 2024) vs Kimi K2.5
Kimi K2.5 is the stronger model overall, scoring 48.1 to 32.1 on the Noometry Index.
Last verified . 25 shared benchmarks.
GoogleSummary
- They share 25 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and Kimi K2.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.5 leads 51.8 to 25.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 92.2% for Kimi K2.5.
- Kimi K2.5 has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Kimi K2.5 | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 32.1 | 48.1 |
| Released | 2024-02-15 | 2026-01-27 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.45 |
| Output $ / M tokens | — | $2.25 |
| Results tracked | 45 | 51 |
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Category by category
Coding Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Kimi K2.5: 48.8 (#53)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| WeirdML | 22.2% | 45.6% |
| LMArena Coding | 1294 | 1474 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| LMArena WebDev | — | 1437 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 821.65 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Kimi K2.5: 34.2 (#48)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| OSWorld | — | 63.3% |
| BALROG | 21% | — |
| Vending-Bench 2 | — | 1,198 |
Reasoning Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Kimi K2.5: 31.2 (#80)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| ARC-AGI-2 | 0.8% | 11.8% |
| SimpleBench | 27.1% | 46.8% |
| LMArena Hard Prompts | 1296 | 1453 |
| Epoch Capabilities Index | 131.73 | 148.03 |
| Kagi LLM Benchmark | — | 78.5% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Kimi K2.5: 51.8 (#53)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 92.2% |
| LMArena Math | 1315 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| Omni-MATH | 36.4% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |
Knowledge Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Kimi K2.5: 53.6 (#56)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| GPQA Diamond | 57.2% | 87.6% |
| Humanity's Last Exam | 4.6% | 24.4% |
| LMArena Expert | 1279 | 1466 |
| SimpleQA Verified | — | 34.3% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| Vectara Hallucination Rate | — | 14.2% |
| GPQA (HELM) | 53.4% | — |
| MMLU | 86.9% | — |
Multimodal Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 36.8 (#77), Kimi K2.5: 41.1 (#39)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Vision | 1161 | 1269 |
| Video-MME | 75% | — |
| LMArena Document | — | 1430 |
Multilingual Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Kimi K2.5: 53.9 (#53)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1312 | 1433 |
| LMArena Chinese | 1331 | 1495 |
| LMArena French | 1302 | 1454 |
| LMArena German | 1286 | 1441 |
| LMArena Japanese | 1292 | 1421 |
| LMArena Korean | 1298 | 1410 |
| LMArena Russian | 1320 | 1435 |
| LMArena Spanish | 1311 | 1450 |
Instruction Following Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Kimi K2.5: 75.3 (#64)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1297 | 1431 |
| IFEval | 83.7% | — |
Long Context Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Kimi K2.5: 52.1 (#7)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Longer Query | 1308 | 1445 |
| Fiction.LiveBench | — | 86.1% |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |
Writing & Preference Kimi K2.5 leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Kimi K2.5: 65.1 (#53)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1319 | 1445 |
| LMArena Creative Writing | 1333 | 1423 |
| LMArena Multi-Turn | 1296 | 1444 |
| EQ-Bench Creative Writing | — | 1579 |
| WildBench | 81.3% | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Kimi K2.5?
Kimi K2.5 is the stronger model overall, scoring 48.1 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Kimi K2.5 better for coding?
Kimi K2.5 scores higher on coding benchmarks: 48.8 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Kimi K2.5 share?
25 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Kimi K2.5 has 51.