Model comparison
Gemini 1.5 Pro (May 2024) vs Kimi K2 (Jul 2025)
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 32.1 on the Noometry Index.
Last verified . 27 shared benchmarks.
GoogleSummary
- They share 27 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and Kimi K2 (Jul 2025) in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2 (Jul 2025) leads 42.7 to 25.8.
- The biggest single-benchmark swing is Omni-MATH: 36.4% for Gemini 1.5 Pro (May 2024) and 65.4% for Kimi K2 (Jul 2025).
- Kimi K2 (Jul 2025) has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 32.1 | 41.2 |
| Released | 2024-02-15 | 2025-07-12 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.57 |
| Output $ / M tokens | — | $2.30 |
| Results tracked | 45 | 42 |
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Category by category
Coding Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Kimi K2 (Jul 2025): 42.4 (#102)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| WeirdML | 22.2% | 42.8% |
| LMArena Coding | 1294 | 1399 |
| SWE-bench Verified (bash only) | — | 63.4% |
| Aider Polyglot | — | 59.1% |
| GSO | — | 4.9% |
| BigCodeBench Instruct | 43.8% | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 597.5 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Kimi K2 (Jul 2025): 32.4 (#64)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| Terminal-Bench | — | 35.7% |
| Berkeley Function Calling Leaderboard | — | 59.1% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| METR Time Horizons | — | 59.2% |
Reasoning Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Kimi K2 (Jul 2025): 23.3 (#179)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| SimpleBench | 27.1% | 26.3% |
| LMArena Hard Prompts | 1296 | 1384 |
| Epoch Capabilities Index | 131.73 | 146.01 |
| ForecastBench | 58.4 | 60.2 |
| ARC-AGI-2 | 0.8% | — |
| Kagi LLM Benchmark | — | 64.4% |
| DTBench | 59% | — |
| BIG-Bench Hard | 89.2% | — |
Math Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Kimi K2 (Jul 2025): 42.7 (#83)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| Omni-MATH | 36.4% | 65.4% |
| LMArena Math | 1315 | 1397 |
| OTIS Mock AIME 2024-2025 | 23.1% | — |
| MATH Level 5 | 70.4% | — |
| FrontierMath (Feb 2025 set) | — | 21.4% |
| FrontierMath Tier 4 (v1) | — | 0% |
Knowledge Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Kimi K2 (Jul 2025): 37.3 (#157)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| MMLU-Pro | 73.7% | 81.9% |
| Confabulations | 13.5% | 20.4% |
| GPQA (HELM) | 53.4% | 65.3% |
| LMArena Expert | 1279 | 1365 |
| GPQA Diamond | 57.2% | — |
| Humanity's Last Exam | 4.6% | — |
| Vectara Hallucination Rate | — | 17.9% |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Kimi K2 (Jul 2025): —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 45.3 (#174), Kimi K2 (Jul 2025): 49.6 (#130)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Non-English | 1312 | 1372 |
| LMArena Chinese | 1331 | 1415 |
| LMArena French | 1302 | 1379 |
| LMArena German | 1286 | 1387 |
| LMArena Japanese | 1292 | 1349 |
| LMArena Korean | 1298 | 1325 |
| LMArena Russian | 1320 | 1385 |
| LMArena Spanish | 1311 | 1386 |
Instruction Following Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 68.6 (#185), Kimi K2 (Jul 2025): 71.1 (#156)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| IFEval | 83.7% | 85% |
| LMArena Instruction Following | 1297 | 1348 |
Long Context Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 39.8 (#169), Kimi K2 (Jul 2025): 41.2 (#145)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Longer Query | 1308 | 1353 |
| Fiction.LiveBench | — | 66.7% |
| CL-bench | — | 17.6% |
Writing & Preference Kimi K2 (Jul 2025) leads
Gemini 1.5 Pro (May 2024): 52.4 (#172), Kimi K2 (Jul 2025): 62.3 (#78)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2 (Jul 2025) |
|---|---|---|
| LMArena Text | 1319 | 1380 |
| LMArena Creative Writing | 1333 | 1350 |
| WildBench | 81.3% | 86.2% |
| LMArena Multi-Turn | 1296 | 1371 |
| Short-Story Creative Writing | — | 85.6% |
| EQ-Bench Creative Writing | — | 1666 |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Kimi K2 (Jul 2025)?
Kimi K2 (Jul 2025) is the stronger model overall, scoring 41.2 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Kimi K2 (Jul 2025) better for coding?
Kimi K2 (Jul 2025) scores higher on coding benchmarks: 42.4 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Kimi K2 (Jul 2025) share?
27 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Kimi K2 (Jul 2025) has 42.