Model comparison
Gemini 1.5 Pro (May 2024) vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.1 on the Noometry Index.
Last verified . 5 shared benchmarks.
GoogleSummary
- They share 5 benchmarks with published results for both. Gemini 1.5 Pro (May 2024) scores higher in 0 categories and Kimi K2.7 Code in 5 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 25.8.
- The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 23.1% for Gemini 1.5 Pro (May 2024) and 95.6% for Kimi K2.7 Code.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 32.1 | 43.3 |
| Released | 2024-02-15 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | — | 262K |
| Max output | — | 262K |
| Input $ / M tokens | — | $0.95 |
| Output $ / M tokens | — | $4 |
| Results tracked | 45 | 19 |
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Category by category
Coding Kimi K2.7 Code leads
Gemini 1.5 Pro (May 2024): 34.2 (#241), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 22.2% | 54.1% |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| BigCodeBench Instruct | 43.8% | — |
| LMArena Coding | 1294 | — |
| BigCodeBench Complete | 57.5% | — |
| CadEval | 34% | — |
| ALE-Bench | — | 886.23 |
| HumanEval+ | 79.3% | — |
| MBPP+ | 74.6% | — |
Agentic & Tool Use Kimi K2.7 Code leads
Gemini 1.5 Pro (May 2024): 17.9 (#145), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| TheAgentCompany | 3.4% | — |
| Cybench | 7.5% | — |
| BALROG | 21% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Gemini 1.5 Pro (May 2024): 12.3 (#338), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 27.1% | 57.9% |
| Epoch Capabilities Index | 131.73 | 149.97 |
| ARC-AGI-2 | 0.8% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1296 | — |
| DTBench | 59% | — |
| Surface Evolver Bench | — | 48.8% |
| BIG-Bench Hard | 89.2% | — |
| ForecastBench | 58.4 | — |
Math Kimi K2.7 Code leads
Gemini 1.5 Pro (May 2024): 25.8 (#266), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| OTIS Mock AIME 2024-2025 | 23.1% | 95.6% |
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| Omni-MATH | 36.4% | — |
| LMArena Math | 1315 | — |
| MATH Level 5 | 70.4% | — |
Knowledge Kimi K2.7 Code leads
Gemini 1.5 Pro (May 2024): 29.4 (#239), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 57.2% | 87.9% |
| Humanity's Last Exam | 4.6% | — |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 73.7% | — |
| Confabulations | 13.5% | — |
| GPQA (HELM) | 53.4% | — |
| LMArena Expert | 1279 | — |
| MMLU | 86.9% | — |
Multimodal Not comparable
Gemini 1.5 Pro (May 2024): 36.8 (#77), Kimi K2.7 Code: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1161 | — |
| Video-MME | 75% | — |
Multilingual Not comparable
Gemini 1.5 Pro (May 2024): 45.3 (#174), Kimi K2.7 Code: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1312 | — |
| LMArena Chinese | 1331 | — |
| LMArena French | 1302 | — |
| LMArena German | 1286 | — |
| LMArena Japanese | 1292 | — |
| LMArena Korean | 1298 | — |
| LMArena Russian | 1320 | — |
| LMArena Spanish | 1311 | — |
Instruction Following Not comparable
Gemini 1.5 Pro (May 2024): 68.6 (#185), Kimi K2.7 Code: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| IFEval | 83.7% | — |
| LMArena Instruction Following | 1297 | — |
Long Context Not comparable
Gemini 1.5 Pro (May 2024): 39.8 (#169), Kimi K2.7 Code: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1308 | — |
Writing & Preference Not comparable
Gemini 1.5 Pro (May 2024): 52.4 (#172), Kimi K2.7 Code: —
| Benchmark | Gemini 1.5 Pro (May 2024) | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1319 | — |
| LMArena Creative Writing | 1333 | — |
| WildBench | 81.3% | — |
| LMArena Multi-Turn | 1296 | — |
Frequently asked questions
Is Gemini 1.5 Pro (May 2024) better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.3 to 32.1 on the Noometry Index.
Is Gemini 1.5 Pro (May 2024) or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.9 versus 34.2 in the Noometry coding category.
How many benchmarks do Gemini 1.5 Pro (May 2024) and Kimi K2.7 Code share?
5 benchmarks have published results for both models. Gemini 1.5 Pro (May 2024) has 45 scored results on Noometry and Kimi K2.7 Code has 19.