Model comparison
Gemini 2.5 Pro vs Kimi K2.7 Code
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.0× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Last verified . 13 shared benchmarks.
Summary
- They share 13 benchmarks with published results for both. Gemini 2.5 Pro scores higher in 2 categories and Kimi K2.7 Code in 3 categories; 4 gaps are clear of the uncertainty.
- The widest gap is in math, where Kimi K2.7 Code leads 52.9 to 32.5.
- The biggest single-benchmark swing is FrontierMath (Tiers 1-3): 24.6% for Gemini 2.5 Pro and 54% for Kimi K2.7 Code.
- Kimi K2.7 Code is cheaper at $0.95 / $4 per million input/output tokens, against $1.25 / $10 for Gemini 2.5 Pro.
- Gemini 2.5 Pro accepts more context: 1.05M tokens versus 262K.
- Kimi K2.7 Code has downloadable open weights; the other is API-only.
Side by side
| Gemini 2.5 Pro | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 45.0 | 43.3 |
| Released | 2025-03-25 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $1.25 | $0.95 |
| Output $ / M tokens | $10 | $4 |
| Results tracked | 78 | 19 |
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Category by category
Coding Too close to call
Gemini 2.5 Pro: 42.4 (#101), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1227 | 1473 |
| SciCode | 42.8% | 47.5% |
| WeirdML | 54% | 54.1% |
| ALE-Bench | 785.52 | 886.23 |
| SWE-bench Verified | 57.6% | — |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SWE-bench Verified (bash only) | 53.6% | — |
| Aider Polyglot | 83.1% | — |
| GSO | 3.9% | — |
| LiveBench Coding | 85.9% | — |
| LMArena Coding | 1452 | — |
| CadEval | 64% | — |
| AlgoTune | 1.51 | — |
Agentic & Tool Use Gemini 2.5 Pro leads
Gemini 2.5 Pro: 29.2 (#88), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| Vending-Bench 2 | 573.64 | 5,083 |
| Terminal-Bench | 32.6% | — |
| APEX-Agents | — | 37.6% |
| GDPval | 23.3% | — |
| Remote Labor Index | 0.8% | — |
| TheAgentCompany | 30.3% | — |
| τ²-bench Banking | 13.7% | — |
| DeepResearch Bench | 42.8% | — |
| BALROG | 43.3% | — |
| GBAEval | — | 0.9% |
| LMArena Search | 1142 | — |
| METR Time Horizons | 55.4% | — |
Reasoning Kimi K2.7 Code leads
Gemini 2.5 Pro: 28.8 (#99), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 62.4% | 57.9% |
| CritPt | 2% | 10% |
| Chess Puzzles | 20% | 21% |
| Epoch Capabilities Index | 145.32 | 149.97 |
| ARC-AGI-2 | 4.9% | — |
| Kagi LLM Benchmark | 70.3% | — |
| ARC-AGI-1 | 41% | — |
| EnigmaEval | 5.6% | — |
| LiveBench Reasoning | 89.8% | — |
| LMArena Hard Prompts | 1455 | — |
| DTBench | 82.4% | — |
| LiveBench Data Analysis | 79.9% | — |
| LMCA | 34.8% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 61.3 | — |
| LiveBench | 82.3% | — |
Math Kimi K2.7 Code leads
Gemini 2.5 Pro: 32.5 (#213), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 24.6% | 54% |
| FrontierMath Tier 4 | 0% | 12.2% |
| OTIS Mock AIME 2024-2025 | 84.7% | 95.6% |
| Omni-MATH | 41.6% | — |
| LiveBench Math | 90.2% | — |
| LMArena Math | 1450 | — |
| MATH Level 5 | 95.9% | — |
| FrontierMath (Feb 2025 set) | 14.1% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 2.5 Pro leads
Gemini 2.5 Pro: 56.0 (#46), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 85.3% | 87.9% |
| Humanity's Last Exam | 21.6% | — |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 86.3% | — |
| Confabulations | 10.6% | — |
| Vectara Hallucination Rate | 7% | — |
| GPQA (HELM) | 74.9% | — |
| LMArena Expert | 1452 | — |
Multimodal Not comparable
Gemini 2.5 Pro: 45.2 (#18), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1263 | — |
| GeoBench | 86% | — |
| VPCT | 48% | — |
| LMArena Document | 1421 | — |
| SpatialViz-Bench | 44.7% | — |
Multilingual Not comparable
Gemini 2.5 Pro: 55.3 (#31), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1451 | — |
| LMArena Chinese | 1507 | — |
| LMArena French | 1472 | — |
| LMArena German | 1487 | — |
| LMArena Japanese | 1461 | — |
| LMArena Korean | 1434 | — |
| LMArena Russian | 1461 | — |
| LMArena Spanish | 1473 | — |
Instruction Following Not comparable
Gemini 2.5 Pro: 75.0 (#75), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| LiveBench Instruction Following | 80.6% | — |
| IFEval | 84% | — |
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 2.5 Pro: 59.8 (#5), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 91.7% | — |
| LMArena Longer Query | 1449 | — |
Writing & Preference Not comparable
Gemini 2.5 Pro: 63.7 (#62), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Pro | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1458 | — |
| LMArena Creative Writing | 1454 | — |
| Short-Story Creative Writing | 83.8% | — |
| EQ-Bench Creative Writing | 1421 | — |
| WildBench | 85.7% | — |
| LMArena Multi-Turn | 1453 | — |
| LiveBench Language | 67.8% | — |
Frequently asked questions
Is Gemini 2.5 Pro better than Kimi K2.7 Code?
Gemini 2.5 Pro is the stronger model overall, scoring 45.0 to 43.3 on the Noometry Index. Kimi K2.7 Code costs 2.0× less per token, which makes it the better buy when Gemini 2.5 Pro's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Pro or Kimi K2.7 Code?
Kimi K2.7 Code is cheaper. It lists at $0.95 per million input tokens and $4 per million output tokens; Gemini 2.5 Pro lists at $1.25 and $10.
Is Gemini 2.5 Pro or Kimi K2.7 Code better for coding?
They score almost the same on coding (42.4 vs 42.9); test both on your own repository before choosing.
Which has the bigger context window?
Gemini 2.5 Pro does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 2.5 Pro and Kimi K2.7 Code share?
13 benchmarks have published results for both models. Gemini 2.5 Pro has 78 scored results on Noometry and Kimi K2.7 Code has 19.