# Gemini 2.5 Flash-Lite vs Kimi K2.5

> Kimi K2.5 is the stronger model overall, scoring 47.8 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.1× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/gemini-2-5-flash-lite-vs-kimi-k2-5
- Last updated: 2026-10-10
- Shared benchmarks: 24

## Summary

- They share 24 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 0 categories and Kimi K2.5 in 10 categories; 10 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.5 leads 53.6 to 32.1.
- The biggest single-benchmark swing is Fiction.LiveBench: 47.2% for Gemini 2.5 Flash-Lite and 86.1% for Kimi K2.5.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.45 / $2.25 for Kimi K2.5.
- Gemini 2.5 Flash-Lite accepts more context: 1.05M tokens versus 262K.
- Kimi K2.5 has downloadable open weights; the other is API-only.

## Snapshot

| | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| Provider | Google | Moonshot AI |
| Noometry Index | 36.4 | 47.8 |
| Rank | 208 | 50 |
| Context | 1.05M | 262K |
| Input $/M | $0.10 | $0.45 |
| Output $/M | $0.40 | $2.25 |
| Weights | Proprietary | Open |

## Coding

- Gemini 2.5 Flash-Lite: 38.0 (#167)
- Kimi K2.5: 48.7 (#48)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| WeirdML | 35.2% | 45.6% |
| LMArena Coding | 1373 | 1474 |
| ALE-Bench | 325.9 | 821.65 |
| SWE-bench Verified | — | 73.8% |
| SWE-bench Verified (bash only) | — | 70.8% |
| LMArena WebDev | — | 1436 |
| SWE-bench Multilingual | — | 67.3% |
| SciCode | — | 49% |

## Agentic & Tool Use

- Gemini 2.5 Flash-Lite: 27.8 (#89)
- Kimi K2.5: 34.0 (#44)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| Terminal-Bench | — | 43.2% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| OSWorld | — | 63.3% |
| Vending-Bench 2 | — | 1,198 |

## Reasoning

- Gemini 2.5 Flash-Lite: 21.5 (#196)
- Kimi K2.5: 31.2 (#74)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| Kagi LLM Benchmark | 40.5% | 78.5% |
| LMArena Hard Prompts | 1377 | 1454 |
| Epoch Capabilities Index | 133.93 | 148.05 |
| ARC-AGI-2 | — | 11.8% |
| SimpleBench | — | 46.8% |
| NYT Connections (extended) | — | 69.9% |
| ARC-AGI-1 | — | 65.3% |
| CritPt | — | 3.1% |
| Chess Puzzles | — | 12% |
| EnigmaEval | — | 3.4% |
| Thematic Generalization | — | 69.4% |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |

## Math

- Gemini 2.5 Flash-Lite: 35.5 (#144)
- Kimi K2.5: 50.3 (#46)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| LMArena Math | 1373 | 1470 |
| MathArena Final-Answer Competitions | — | 62.3% |
| OTIS Mock AIME 2024-2025 | — | 92.2% |
| Omni-MATH | 48% | — |
| FrontierMath (Feb 2025 set) | — | 27.9% |
| FrontierMath Tier 4 (v1) | — | 4.2% |

## Knowledge

- Gemini 2.5 Flash-Lite: 32.1 (#206)
- Kimi K2.5: 53.6 (#52)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| Vectara Hallucination Rate | 3.3% | 14.2% |
| LMArena Expert | 1373 | 1466 |
| GPQA Diamond | — | 87.6% |
| Humanity's Last Exam | — | 24.4% |
| SimpleQA Verified | — | 34.3% |
| MMLU-Pro | 53.7% | — |
| GPQA (HELM) | 30.9% | — |

## Multimodal

- Gemini 2.5 Flash-Lite: 28.6 (#109)
- Kimi K2.5: 40.4 (#37)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| LMArena Vision | 1198 | 1269 |
| VPCT | 30% | — |
| LMArena Document | — | 1430 |

## Multilingual

- Gemini 2.5 Flash-Lite: 49.5 (#129)
- Kimi K2.5: 54.1 (#50)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| LMArena Non-English | 1369 | 1433 |
| LMArena Chinese | 1404 | 1495 |
| LMArena French | 1388 | 1454 |
| LMArena German | 1390 | 1441 |
| LMArena Japanese | 1359 | 1422 |
| LMArena Korean | 1358 | 1412 |
| LMArena Russian | 1373 | 1436 |
| LMArena Spanish | 1396 | 1450 |

## Instruction Following

- Gemini 2.5 Flash-Lite: 70.2 (#163)
- Kimi K2.5: 75.5 (#60)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| LMArena Instruction Following | 1366 | 1431 |
| IFEval | 81% | — |

## Long Context

- Gemini 2.5 Flash-Lite: 33.3 (#257)
- Kimi K2.5: 52.1 (#7)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| Fiction.LiveBench | 47.2% | 86.1% |
| LMArena Longer Query | 1373 | 1445 |
| CL-bench | — | 19.3% |
| CL-bench Life | — | 13.2% |

## Writing & Preference

- Gemini 2.5 Flash-Lite: 57.0 (#130)
- Kimi K2.5: 65.3 (#51)

| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.5 |
|---|---|---|
| LMArena Text | 1379 | 1445 |
| LMArena Creative Writing | 1366 | 1423 |
| LMArena Multi-Turn | 1367 | 1444 |
| EQ-Bench Creative Writing | — | 1579 |
| WildBench | 81.8% | — |

## FAQ

### Is Gemini 2.5 Flash-Lite better than Kimi K2.5?

Kimi K2.5 is the stronger model overall, scoring 47.8 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 5.1× less per token, which makes it the better buy when Kimi K2.5's lead doesn't matter for your workload.

### Which is cheaper, Gemini 2.5 Flash-Lite or Kimi K2.5?

Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.5 lists at $0.45 and $2.25.

### Is Gemini 2.5 Flash-Lite or Kimi K2.5 better for coding?

Kimi K2.5 scores higher on coding benchmarks: 48.7 versus 38.0 in the Noometry coding category.

### Which has the bigger context window?

Gemini 2.5 Flash-Lite does, with 1.05M tokens against 262K.

### How many benchmarks do Gemini 2.5 Flash-Lite and Kimi K2.5 share?

24 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Kimi K2.5 has 51.