Model comparison
Gemini 2.5 Flash-Lite vs Kimi K2.7 Code
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Last verified . 3 shared benchmarks.
Summary
- They share 3 benchmarks with published results for both. Gemini 2.5 Flash-Lite scores higher in 1 category and Kimi K2.7 Code in 4 categories; 5 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where Kimi K2.7 Code leads 53.6 to 32.1.
- The biggest single-benchmark swing is WeirdML: 35.2% for Gemini 2.5 Flash-Lite and 54.1% for Kimi K2.7 Code.
- Gemini 2.5 Flash-Lite is cheaper at $0.10 / $0.40 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Gemini 2.5 Flash-Lite 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 Flash-Lite | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 36.4 | 43.0 |
| Released | 2025-06-17 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.10 | $0.95 |
| Output $ / M tokens | $0.40 | $4 |
| Results tracked | 33 | 19 |
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Category by category
Coding Kimi K2.7 Code leads
Gemini 2.5 Flash-Lite: 38.0 (#167), Kimi K2.7 Code: 42.4 (#92)
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| WeirdML | 35.2% | 54.1% |
| ALE-Bench | 325.9 | 886.23 |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| LMArena WebDev | — | 1473 |
| SciCode | — | 47.5% |
| LMArena Coding | 1373 | — |
Agentic & Tool Use Gemini 2.5 Flash-Lite leads
Gemini 2.5 Flash-Lite: 27.8 (#89), Kimi K2.7 Code: 23.9 (#115)
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| APEX-Agents | — | 37.6% |
| Berkeley Function Calling Leaderboard | 36.9% | — |
| GBAEval | — | 0.9% |
| Vending-Bench 2 | — | 5,083 |
Reasoning Kimi K2.7 Code leads
Gemini 2.5 Flash-Lite: 21.5 (#196), Kimi K2.7 Code: 38.2 (#56)
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| Epoch Capabilities Index | 133.93 | 150.01 |
| SimpleBench | — | 57.9% |
| Kagi LLM Benchmark | 40.5% | — |
| CritPt | — | 10% |
| Chess Puzzles | — | 21% |
| LMArena Hard Prompts | 1377 | — |
| DTBench | 62.8% | — |
| LMCA | 18.1% | — |
| Surface Evolver Bench | — | 48.8% |
Math Kimi K2.7 Code leads
Gemini 2.5 Flash-Lite: 35.5 (#144), Kimi K2.7 Code: 52.6 (#39)
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | — | 54% |
| FrontierMath Tier 4 | — | 12.2% |
| OTIS Mock AIME 2024-2025 | — | 95.6% |
| Omni-MATH | 48% | — |
| LMArena Math | 1373 | — |
Knowledge Kimi K2.7 Code leads
Gemini 2.5 Flash-Lite: 32.1 (#206), Kimi K2.7 Code: 53.6 (#51)
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | — | 87.9% |
| SimpleQA Verified | — | 36.5% |
| MMLU-Pro | 53.7% | — |
| Vectara Hallucination Rate | 3.3% | — |
| GPQA (HELM) | 30.9% | — |
| LMArena Expert | 1373 | — |
Multimodal Not comparable
Gemini 2.5 Flash-Lite: 28.6 (#109), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1198 | — |
| VPCT | 30% | — |
Multilingual Not comparable
Gemini 2.5 Flash-Lite: 49.5 (#129), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1369 | — |
| LMArena Chinese | 1404 | — |
| LMArena French | 1388 | — |
| LMArena German | 1390 | — |
| LMArena Japanese | 1359 | — |
| LMArena Korean | 1358 | — |
| LMArena Russian | 1373 | — |
| LMArena Spanish | 1396 | — |
Instruction Following Not comparable
Gemini 2.5 Flash-Lite: 70.2 (#163), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| IFEval | 81% | — |
| LMArena Instruction Following | 1366 | — |
Long Context Not comparable
Gemini 2.5 Flash-Lite: 33.3 (#257), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| Fiction.LiveBench | 47.2% | — |
| LMArena Longer Query | 1373 | — |
Writing & Preference Not comparable
Gemini 2.5 Flash-Lite: 57.0 (#130), Kimi K2.7 Code: —
| Benchmark | Gemini 2.5 Flash-Lite | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1379 | — |
| LMArena Creative Writing | 1366 | — |
| WildBench | 81.8% | — |
| LMArena Multi-Turn | 1367 | — |
Frequently asked questions
Is Gemini 2.5 Flash-Lite better than Kimi K2.7 Code?
Kimi K2.7 Code is the stronger model overall, scoring 43.0 to 36.4 on the Noometry Index. Gemini 2.5 Flash-Lite costs 9.8× less per token, which makes it the better buy when Kimi K2.7 Code's lead doesn't matter for your workload.
Which is cheaper, Gemini 2.5 Flash-Lite or Kimi K2.7 Code?
Gemini 2.5 Flash-Lite is cheaper. It lists at $0.10 per million input tokens and $0.40 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Gemini 2.5 Flash-Lite or Kimi K2.7 Code better for coding?
Kimi K2.7 Code scores higher on coding benchmarks: 42.4 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 K2.7 Code share?
3 benchmarks have published results for both models. Gemini 2.5 Flash-Lite has 33 scored results on Noometry and Kimi K2.7 Code has 19.