Model comparison
Gemini 3 Flash Preview vs Kimi K2.7 Code
Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 43.3 on the Noometry Index.
Last verified . 12 shared benchmarks.
GoogleSummary
- They share 12 benchmarks with published results for both. Gemini 3 Flash Preview scores higher in 4 categories and Kimi K2.7 Code in 1 category; 5 gaps are clear of the uncertainty.
- The widest gap is in agentic & tool use, where Gemini 3 Flash Preview leads 38.7 to 24.0.
- The biggest single-benchmark swing is SimpleQA Verified: 66.8% for Gemini 3 Flash Preview and 36.5% for Kimi K2.7 Code.
- Gemini 3 Flash Preview is cheaper at $0.50 / $3 per million input/output tokens, against $0.95 / $4 for Kimi K2.7 Code.
- Gemini 3 Flash Preview 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 3 Flash Preview | Kimi K2.7 Code | |
|---|---|---|
| Provider | Moonshot AI | |
| Noometry Index | 52.3 | 43.3 |
| Released | 2025-12-17 | 2026-06-12 |
| Weights | Proprietary | Open |
| Context window | 1.05M | 262K |
| Max output | 66K | 262K |
| Input $ / M tokens | $0.50 | $0.95 |
| Output $ / M tokens | $3 | $4 |
| Results tracked | 59 | 19 |
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Category by category
Coding Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 50.9 (#42), Kimi K2.7 Code: 42.9 (#95)
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena WebDev | 1439 | 1473 |
| WeirdML | 61.6% | 54.1% |
| ALE-Bench | 1,367 | 886.23 |
| SWE-bench Verified | 75.4% | — |
| DeepSWE | — | 30.5% |
| FrontierCode | — | 30.1% |
| SWE-bench Verified (bash only) | 75.8% | — |
| SWE-bench Multilingual | 72.7% | — |
| SciCode | — | 47.5% |
| GSO | 9.8% | — |
| LMArena Coding | 1460 | — |
Agentic & Tool Use Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 38.7 (#29), Kimi K2.7 Code: 24.0 (#122)
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| Vending-Bench 2 | 3,635 | 5,083 |
| Terminal-Bench | 64.3% | — |
| APEX-Agents | — | 37.6% |
| τ²-bench Airline | 82.5% | — |
| τ²-bench Banking | 27.3% | — |
| τ²-bench Retail | 76.8% | — |
| τ²-bench Telecom | 91.2% | — |
| DeepResearch Bench | 49.8% | — |
| BALROG | 48.1% | — |
| GBAEval | — | 0.9% |
| GDP.pdf | 10% | — |
| LMArena Search | 1198 | — |
Reasoning Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 49.2 (#37), Kimi K2.7 Code: 39.0 (#61)
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| SimpleBench | 61.1% | 57.9% |
| Chess Puzzles | 40% | 21% |
| Epoch Capabilities Index | 151.8 | 149.97 |
| ARC-AGI-2 | 33.6% | — |
| NYT Connections (extended) | 83.1% | — |
| ARC-AGI-1 | 84.7% | — |
| CritPt | — | 10% |
| LMArena Hard Prompts | 1465 | — |
| Mystery Game Puzzles | 26% | — |
| DTBench | 89.1% | — |
| LMCA | 43.1% | — |
| Surface Evolver Bench | — | 48.8% |
| ForecastBench | 58.5 | — |
Math Kimi K2.7 Code leads
Gemini 3 Flash Preview: 51.7 (#55), Kimi K2.7 Code: 52.9 (#48)
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| FrontierMath (Tiers 1-3) | 51.2% | 54% |
| FrontierMath Tier 4 | 17.1% | 12.2% |
| OTIS Mock AIME 2024-2025 | 95.6% | 95.6% |
| MathArena Final-Answer Competitions | 67.6% | — |
| ProofBench | 15% | — |
| LMArena Math | 1473 | — |
| FrontierMath (Feb 2025 set) | 35.6% | — |
| FrontierMath Tier 4 (v1) | 4.2% | — |
Knowledge Gemini 3 Flash Preview leads
Gemini 3 Flash Preview: 58.8 (#33), Kimi K2.7 Code: 53.5 (#57)
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| GPQA Diamond | 89.4% | 87.9% |
| SimpleQA Verified | 66.8% | 36.5% |
| Vectara Hallucination Rate | 13.5% | — |
| LMArena Expert | 1462 | — |
Multimodal Not comparable
Gemini 3 Flash Preview: 45.5 (#16), Kimi K2.7 Code: —
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Vision | 1285 | — |
| GeoBench | 88% | — |
| VPCT | 72.6% | — |
| Blueprint-Bench 2 | 0% | — |
| LMArena Document | 1413 | — |
Multilingual Not comparable
Gemini 3 Flash Preview: 55.7 (#27), Kimi K2.7 Code: —
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Non-English | 1458 | — |
| LMArena Chinese | 1511 | — |
| LMArena French | 1477 | — |
| LMArena German | 1497 | — |
| LMArena Japanese | 1489 | — |
| LMArena Korean | 1443 | — |
| LMArena Russian | 1480 | — |
| LMArena Spanish | 1469 | — |
Instruction Following Not comparable
Gemini 3 Flash Preview: 75.7 (#56), Kimi K2.7 Code: —
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Instruction Following | 1437 | — |
Long Context Not comparable
Gemini 3 Flash Preview: 44.4 (#67), Kimi K2.7 Code: —
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Longer Query | 1452 | — |
Writing & Preference Not comparable
Gemini 3 Flash Preview: 65.5 (#45), Kimi K2.7 Code: —
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code |
|---|---|---|
| LMArena Text | 1466 | — |
| LMArena Creative Writing | 1457 | — |
| LMArena Multi-Turn | 1471 | — |
Frequently asked questions
Is Gemini 3 Flash Preview better than Kimi K2.7 Code?
Gemini 3 Flash Preview is the stronger model overall, scoring 52.3 to 43.3 on the Noometry Index.
Which is cheaper, Gemini 3 Flash Preview or Kimi K2.7 Code?
Gemini 3 Flash Preview is cheaper. It lists at $0.50 per million input tokens and $3 per million output tokens; Kimi K2.7 Code lists at $0.95 and $4.
Is Gemini 3 Flash Preview or Kimi K2.7 Code better for coding?
Gemini 3 Flash Preview scores higher on coding benchmarks: 50.9 versus 42.9 in the Noometry coding category.
Which has the bigger context window?
Gemini 3 Flash Preview does, with 1.05M tokens against 262K.
How many benchmarks do Gemini 3 Flash Preview and Kimi K2.7 Code share?
12 benchmarks have published results for both models. Gemini 3 Flash Preview has 59 scored results on Noometry and Kimi K2.7 Code has 19.