Gemini 3 Flash Preview vs Kimi K2.7 Code
Kimi K2.7 Code leads Gemini 3 Flash Preview on coding, 53.4 to 43.7 on the Vibe Coding Index, and Gemini 3 Flash Preview costs 1.3x less per output token ($3.00 vs $4.00 per million). Updated October 22, 2026; 33 benchmarks have a result for both.
Gemini 3 Flash Preview or Kimi K2.7 Code: which to pick
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 43.7 for Gemini 3 Flash Preview.
Pick Gemini 3 Flash Preview for output tokens 1.3x cheaper ($3.00 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
- Shared results
- 33
- Gemini 3 Flash Preview only
- 38
- Kimi K2.7 Code only
- 18
- Like-for-like categories
- 8 of 9
Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.
Which one for your work
Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.
Coding
Vibe Coding Index, six public coding benchmarks
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 43.7.
2 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3 Flash Preview
Gemini 3 Flash Preview leads, 26.3 against 25.8.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Kimi K2.7 Code has a AA Agentic Index result, 21.0.
Directional only
Reasoning
GPQA Diamond
No call
Only Gemini 3 Flash Preview has a GPQA Diamond result, 87.9%.
Directional only
Math
AIME
No call
Only Gemini 3 Flash Preview has a AIME result, 95.6%.
Directional only
Knowledge
MMLU Pro
No call
Only Gemini 3 Flash Preview has a MMLU Pro result, 88.6%.
Directional only
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1263 against 1196.
Same board, both measured
Long documents
Listed context window
Gemini 3 Flash Preview
Gemini 3 Flash Preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 3 Flash Preview
Gemini 3 Flash Preview $0.0020, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Gemini 3 Flash Preview $0.37, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3 Flash Preview 43.7 from 2 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
- Widest category
- Knowledge, 30.3 points apart on average over 1 shared benchmark.
- Widest single gap
- SimpleQA Verified: Gemini 3 Flash Preview 66.8% against Kimi K2.7 Code 36.5%, 30.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3 Flash Preview $3.00 against Kimi K2.7 Code $4.00 per million output tokens, 1.3x apart.
- Context window
- Gemini 3 Flash Preview takes 1.05M tokens, Kimi K2.7 Code 262K.
Benchmark by benchmark
First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.
| Category | Gemini 3 Flash Preview | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 3 | 5 | 1 tie | |
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 7 | ||
| Reasoning | 5 | 0 | ||
| Math | 1 | 1 | 1 tie | |
| Knowledge | 1 | 0 | ||
| Web design | 0 | 4 | ||
| General | 1 | 1 | ||
| All shared boards | 13 | 18 | 2 ties |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index35
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| SWE-bench Verified | 75.8% | Not measured | Only Gemini 3 Flash Preview measured |
| LMArena WebDev | Not measured | 1474 | Only Kimi K2.7 Code measured |
| AA Coding Index | Not measured | 60.8 | Only Kimi K2.7 Code measured |
| LiveCodeBench (Vals AI) | 85.6% | 82.0% | Gemini 3 Flash Preview |
| SWE-bench Verified (Vals AI) | 75.0% | 78.2% | Kimi K2.7 Code |
| Vibe Code Bench (Vals AI) | 20.2% | 47.2% | Kimi K2.7 Code |
| Code migration (Vals AI) | 6.4% | 25.4% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 53.9% | 67.0% | Kimi K2.7 Code |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| LiveCodeBench (Artificial Analysis run) | 90.8% | Not measured | Only Gemini 3 Flash Preview measured |
| SciCode | Not measured | 47.8% | Only Kimi K2.7 Code measured |
| Terminal-Bench Hard (Artificial Analysis run) | 38.6% | 44.7% | Kimi K2.7 Code |
| Terminal-Bench | 64.3% | Not measured | Only Gemini 3 Flash Preview measured |
| FrontierCode | Not measured | 30.1% | Only Kimi K2.7 Code measured |
| GSO-Bench | 9.8% | Not measured | Only Gemini 3 Flash Preview measured |
| WeirdML | 61.6% | 54.1% | Gemini 3 Flash Preview |
| ALE-Bench | 1367.2 | 886.2 | Gemini 3 Flash Preview |
| LMArena WebDev: React | Not measured | 1475 | Only Kimi K2.7 Code measured |
| LMArena WebDev: HTML | Not measured | 1451 | Only Kimi K2.7 Code measured |
| LMArena WebDev: from an image | Not measured | 1513 | Only Kimi K2.7 Code measured |
| SciCode | 12.7% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 17 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 26.3 | 25.8 | Gemini 3 Flash Preview |
| Epoch Capabilities Index | Not measured | 150.1 | Only Kimi K2.7 Code measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.0 | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | 1111 | 1176 | Kimi K2.7 Code |
| Design Arena: agents building full-stack apps | 1063 | 1175 | Kimi K2.7 Code |
| Design Arena: agents building mobile apps | 1090 | 1143 | Kimi K2.7 Code |
| Design Arena: agents building Android apps | 1051 | 1138 | Kimi K2.7 Code |
| Design Arena: agents building Godot games | 1161 | 1147 | Gemini 3 Flash Preview |
| Design Arena: agents building games | Not measured | 1130 | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | Not measured | 1151 | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | 1036 | 1129 | Kimi K2.7 Code |
| Finance Agent (Vals AI) | 42.5% | Not measured | Only Gemini 3 Flash Preview measured |
| Tax Agent Bench (Vals AI) | 11.8% | Not measured | Only Gemini 3 Flash Preview measured |
| Legal Research Bench (Vals AI) | 18.3% | Not measured | Only Gemini 3 Flash Preview measured |
| Excel Modeling Benchmark (Vals AI) | 26.0% | Not measured | Only Gemini 3 Flash Preview measured |
| τ²-Bench Telecom | 80.4% | 90.1% | Kimi K2.7 Code |
| APEX-Agents | Not measured | 37.6% | Only Kimi K2.7 Code measured |
| BALROG | 48.1% | Not measured | Only Gemini 3 Flash Preview measured |
| DeepResearch Bench | 49.8% | Not measured | Only Gemini 3 Flash Preview measured |
| Vending-Bench 2 | $3,635 | $5,083 | Kimi K2.7 Code |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| GPQA Diamond | 87.9% | Not measured | Only Gemini 3 Flash Preview measured |
| MMMU Pro (Vals AI) | 87.6% | Not measured | Only Gemini 3 Flash Preview measured |
| GPQA Diamond (Artificial Analysis run) | 89.8% | 89.6% | Gemini 3 Flash Preview |
| Humanity's Last Exam (Artificial Analysis run) | 36.6% | 35.0% | Gemini 3 Flash Preview |
| GPQA Diamond (Epoch AI run) | 89.4% | 87.9% | Gemini 3 Flash Preview |
| ARC-AGI | 84.7% | Not measured | Only Gemini 3 Flash Preview measured |
| ARC-AGI-2 | 33.6% | Not measured | Only Gemini 3 Flash Preview measured |
| SimpleBench | 61.1% | 57.9% | Gemini 3 Flash Preview |
| Chess puzzles | 39.0% | 14.0% | Gemini 3 Flash Preview |
| Mystery game puzzles | 26.0% | Not measured | Only Gemini 3 Flash Preview measured |
| VPCT | 72.6% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 11 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AIME | 95.6% | Not measured | Only Gemini 3 Flash Preview measured |
| MGSM (Vals AI) | 93.3% | Not measured | Only Gemini 3 Flash Preview measured |
| AA Math Index | 97.0 | Not measured | Only Gemini 3 Flash Preview measured |
| AIME 2025 (Artificial Analysis run) | 97.0% | Not measured | Only Gemini 3 Flash Preview measured |
| OTIS Mock AIME | 95.6% | 95.6% | Tie |
| FrontierMath, tiers 1 to 3 | 51.2% | 54.0% | Kimi K2.7 Code |
| FrontierMath, tier 4 | 17.1% | 12.2% | Gemini 3 Flash Preview |
| ProofBench | 15.0% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| MMLU Pro | 88.6% | Not measured | Only Gemini 3 Flash Preview measured |
| LegalBench (Vals AI) | 86.9% | Not measured | Only Gemini 3 Flash Preview measured |
| CaseLaw (Vals AI) | 55.8% | Not measured | Only Gemini 3 Flash Preview measured |
| CorpFin (Vals AI) | 66.4% | Not measured | Only Gemini 3 Flash Preview measured |
| TaxEval (Vals AI) | 73.9% | Not measured | Only Gemini 3 Flash Preview measured |
| MortgageTax (Vals AI) | 68.7% | Not measured | Only Gemini 3 Flash Preview measured |
| MedQA (Vals AI) | 95.8% | Not measured | Only Gemini 3 Flash Preview measured |
| MedCode (Vals AI) | 55.9% | Not measured | Only Gemini 3 Flash Preview measured |
| MMLU Pro (Artificial Analysis run) | 89.0% | Not measured | Only Gemini 3 Flash Preview measured |
| SimpleQA Verified | 66.8% | 36.5% | Gemini 3 Flash Preview |
| GeoBench | 88.0% | Not measured | Only Gemini 3 Flash Preview measured |
| FACTS Benchmark Suite | 63.4% | Not measured | Only Gemini 3 Flash Preview measured |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1263 | Kimi K2.7 Code |
| Design Arena: UI components | Not measured | 1255 | Only Kimi K2.7 Code measured |
| Design Arena: game dev | 1166 | 1220 | Kimi K2.7 Code |
| Design Arena: data viz | Not measured | 1227 | Only Kimi K2.7 Code measured |
| Design Arena: 3D | 1183 | 1240 | Kimi K2.7 Code |
| Design Arena: all code categories | 1189 | 1252 | Kimi K2.7 Code |
| Design Arena: SVG | Not measured | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: ASCII art | Not measured | 1196 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 51.8% | Not measured | Only Gemini 3 Flash Preview measured |
| MedScribe (Vals AI) | 69.9% | Not measured | Only Gemini 3 Flash Preview measured |
| Vals Multimodal Index | 52.2% | Not measured | Only Gemini 3 Flash Preview measured |
| IFBench | 78.0% | 63.1% | Gemini 3 Flash Preview |
| Long context reasoning (AA-LCR) | 78.0% | 79.3% | Kimi K2.7 Code |
| DTBench | 89.1% | Not measured | Only Gemini 3 Flash Preview measured |
| LMCA | 43.1% | Not measured | Only Gemini 3 Flash Preview measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 38 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3 Flash Preview | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Neither model has a result on 5 boards here | |||
What each workload costs
Three fixed token mixes at each model's listed price, so per-token rates become a bill.
Chat turn
1K input + 500 output tokens
Gemini 3 Flash Preview costs less
Repository review
50K input + 3K output tokens
Gemini 3 Flash Preview costs less
Agent loop
200K input + 10K output tokens
Gemini 3 Flash Preview costs less
Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.
Specification differences
The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.
| Specification | Google Gemini 3 Flash Preview | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | December 17, 2025 | June 12, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $0.50 | $0.95 |
| Output $/Mtok | $3.00 | $4.00 |
| Coding index | 43.7 | 53.4 |
| Independent measurements behind it | 2 | 4 |
| Cost per solved task | $0.37 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3 Flash Preview better than Kimi K2.7 Code for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 43.7 for Gemini 3 Flash Preview. Pick Gemini 3 Flash Preview for output tokens 1.3x cheaper ($3.00 vs $4.00 per million) and a larger context window (1.05M against 262K tokens).
Which is cheaper, Gemini 3 Flash Preview or Kimi K2.7 Code?
Gemini 3 Flash Preview costs $0.50 per million input tokens and $3.00 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, Gemini 3 Flash Preview costs $0.37 and Kimi K2.7 Code $0.35.
Which has the bigger context window, Gemini 3 Flash Preview or Kimi K2.7 Code?
Gemini 3 Flash Preview, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3 Flash Preview vs Kimi K2.7 Code comparison based on?
33 benchmarks have a result for both models as of October 22, 2026. Gemini 3 Flash Preview's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.