Gemini 3.1 Pro Preview vs Kimi K2.5
Kimi K2.5 leads Gemini 3.1 Pro Preview on coding, 38.6 to 32.3 on the Vibe Coding Index, and Kimi K2.5 costs 4.2x less per output token ($2.85 vs $12.00 per million). Updated October 21, 2026; 93 benchmarks have a result for both.
Gemini 3.1 Pro Preview or Kimi K2.5: which to pick
Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4.
Pick Gemini 3.1 Pro Preview for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
- Shared results
- 93
- Gemini 3.1 Pro Preview only
- 40
- Kimi K2.5 only
- 6
- 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 K2.5
Kimi K2.5 scores 38.6 against 32.3.
4 and 3 benchmarks behind the scores
Intelligence
AA Intelligence Index
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 29.7 against 23.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemini 3.1 Pro Preview has a AA Agentic Index result, 8.2.
Directional only
Reasoning
GPQA Diamond
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 95.5% against 84.1%.
Same board, both measured
Math
AIME
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 98.1% against 95.6%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview leads, 91.0% against 85.9%.
Same board, both measured
Web design
Design Arena: websites
Kimi K2.5
Kimi K2.5 leads, 1248 against 1234.
Same board, both measured
Long documents
Listed context window
Gemini 3.1 Pro Preview
Gemini 3.1 Pro Preview takes 1.05M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.5
Gemini 3.1 Pro Preview $0.0080, Kimi K2.5 $0.0020 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.5
Gemini 3.1 Pro Preview $0.99, Kimi K2.5 $0.24.
Published attempt cost and pass rate
At a glance
- Coding index
- Gemini 3.1 Pro Preview 32.3 from 4 benchmarks, Kimi K2.5 38.6 from 3 benchmarks.
- Widest category
- Reasoning, 15.7 points apart on average over 12 shared benchmarks.
- Widest single gap
- ARC-AGI-2: Gemini 3.1 Pro Preview 77.1% against Kimi K2.5 11.8%, 65.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 3.1 Pro Preview $12.00 against Kimi K2.5 $2.85 per million output tokens, 4.2x apart.
- Context window
- Gemini 3.1 Pro Preview takes 1.05M tokens, Kimi K2.5 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 3.1 Pro Preview | Bars | Kimi K2.5 | Ties |
|---|---|---|---|---|
| Coding | 16 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 4 | 6 | ||
| Reasoning | 12 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 10 | 2 | ||
| Web design | 3 | 5 | ||
| General | 29 | 2 | ||
| All shared boards | 78 | 15 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index160
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 70.8% | Only Kimi K2.5 measured |
| SWE-bench Multilingual | Not measured | 67.3% | Only Kimi K2.5 measured |
| LMArena WebDev | 1447 | 1437 | Gemini 3.1 Pro Preview |
| AA Coding Index | 68.8 | 46.8 | Gemini 3.1 Pro Preview |
| LiveCodeBench (Vals AI) | 88.5% | 83.9% | Gemini 3.1 Pro Preview |
| SWE-bench Verified (Vals AI) | 78.8% | 70.0% | Gemini 3.1 Pro Preview |
| Terminal-Bench 4 (Vals AI) | 2.5% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vibe Code Bench (Vals AI) | 32.0% | 17.5% | Gemini 3.1 Pro Preview |
| Code migration (Vals AI) | 17.3% | 7.0% | Gemini 3.1 Pro Preview |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IOI (Vals AI) | 51.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench 2.1 (Vals AI) | 70.8% | 42.0% | Gemini 3.1 Pro Preview |
| Vibe Code Bench 1-100 (Vals AI) | 6.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SciCode | 58.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench Hard (Artificial Analysis run) | 53.8% | 34.8% | Gemini 3.1 Pro Preview |
| Terminal-Bench | 80.2% | 43.2% | Gemini 3.1 Pro Preview |
| GSO-Bench | 22.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| WeirdML | 72.1% | 45.6% | Gemini 3.1 Pro Preview |
| MirrorCode | 8.9% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ALE-Bench | 1160.6 | 821.6 | Gemini 3.1 Pro Preview |
| LMArena Text: coding | 1484 | 1483 | Gemini 3.1 Pro Preview |
| LMArena Text: software and IT | 1487 | 1471 | Gemini 3.1 Pro Preview |
| LMArena WebDev: React | 1438 | 1429 | Gemini 3.1 Pro Preview |
| LMArena WebDev: HTML | 1490 | 1426 | Gemini 3.1 Pro Preview |
| LMArena WebDev: from an image | 1481 | 1439 | Gemini 3.1 Pro Preview |
| SciCode | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Intelligence Index | 29.7 | 23.5 | Gemini 3.1 Pro Preview |
| Epoch Capabilities Index | Not measured | 148.1 | Only Kimi K2.5 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index46
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| AA Agentic Index | 8.2 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: agents building web apps | 1125 | 1136 | Kimi K2.5 |
| Design Arena: agents building full-stack apps | 1068 | 1114 | Kimi K2.5 |
| Design Arena: agents building mobile apps | 1093 | 1147 | Kimi K2.5 |
| Design Arena: agents building Android apps | 1048 | 1118 | Kimi K2.5 |
| Design Arena: agents building Godot games | 1236 | 1219 | Gemini 3.1 Pro Preview |
| Design Arena: agents building games | 1114 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: HTML slides | 1153 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Design Arena: PowerPoint slides | 1066 | Not measured | Only Gemini 3.1 Pro Preview measured |
| SREBench (Vals AI) | 0.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Finance Agent (Vals AI) | 43.0% | 35.8% | Gemini 3.1 Pro Preview |
| Tax Agent Bench (Vals AI) | 9.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Legal Research Bench (Vals AI) | 20.7% | 15.9% | Gemini 3.1 Pro Preview |
| Excel Modeling Benchmark (Vals AI) | 52.6% | 28.5% | Gemini 3.1 Pro Preview |
| BioMysteryBench (Vals AI) | 60.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Terminal-Bench-Science (Vals AI) | 1.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Vals Science Index | 27.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| τ²-Bench Telecom | 95.6% | 95.9% | Kimi K2.5 |
| APEX-Agents | 35.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| METR time horizons | 77.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| BALROG | 57.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| DeepResearch Bench | 47.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| PostTrainBench | 22.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| OSWorld | Not measured | 63.3% | Only Kimi K2.5 measured |
| Vending-Bench 2 | $911 | $1,198 | Kimi K2.5 |
| Neither model has a result on the other 16 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| GPQA Diamond | 95.5% | 84.1% | Gemini 3.1 Pro Preview |
| MysteryMechanism (Vals AI) | 20.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| MMMU Pro (Vals AI) | 88.2% | 84.3% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Artificial Analysis run) | 94.1% | 87.9% | Gemini 3.1 Pro Preview |
| Humanity's Last Exam (Artificial Analysis run) | 47.0% | 30.7% | Gemini 3.1 Pro Preview |
| GPQA Diamond (Epoch AI run) | 94.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ARC-AGI | 98.0% | 65.3% | Gemini 3.1 Pro Preview |
| ARC-AGI-2 | 77.1% | 11.8% | Gemini 3.1 Pro Preview |
| SimpleBench | 79.6% | 46.8% | Gemini 3.1 Pro Preview |
| Chess puzzles | 51.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Mystery game puzzles | 34.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| EBR-bench | 14.3% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: hard prompts | 1485 | 1453 | Gemini 3.1 Pro Preview |
| LMArena Text: expert | 1483 | 1466 | Gemini 3.1 Pro Preview |
| LMArena Text: hard prompts in English | 1480 | 1460 | Gemini 3.1 Pro Preview |
| LMArena Vision: diagrams | 1311 | 1282 | Gemini 3.1 Pro Preview |
| LMArena Vision: homework | 1316 | 1297 | Gemini 3.1 Pro Preview |
| Kagi LLM Benchmark | Not measured | 78.5% | Only Kimi K2.5 measured |
| Neither model has a result on the other 4 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| AIME | 98.1% | 95.6% | Gemini 3.1 Pro Preview |
| OTIS Mock AIME | 95.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tiers 1 to 3 | 59.6% | Not measured | Only Gemini 3.1 Pro Preview measured |
| FrontierMath, tier 4 | 26.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ProofBench | 26.0% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMArena Text: math | 1486 | 1470 | Gemini 3.1 Pro Preview |
| LMArena Text: mathematical work | 1478 | 1473 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 6 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index102
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| MMLU Pro | 91.0% | 85.9% | Gemini 3.1 Pro Preview |
| LegalBench (Vals AI) | 87.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CaseLaw (Vals AI) | 64.8% | 58.7% | Gemini 3.1 Pro Preview |
| CorpFin (Vals AI) | 64.5% | 68.3% | Kimi K2.5 |
| TaxEval (Vals AI) | 72.9% | 74.2% | Kimi K2.5 |
| MortgageTax (Vals AI) | 69.4% | 66.5% | Gemini 3.1 Pro Preview |
| MedQA (Vals AI) | 96.4% | 94.4% | Gemini 3.1 Pro Preview |
| MedCode (Vals AI) | 59.1% | 39.3% | Gemini 3.1 Pro Preview |
| SimpleQA Verified | 73.5% | 34.3% | Gemini 3.1 Pro Preview |
| LMArena Text: science | 1497 | 1459 | Gemini 3.1 Pro Preview |
| LMArena Text: medicine and healthcare | 1486 | 1448 | Gemini 3.1 Pro Preview |
| LMArena Text: legal and government | 1487 | 1441 | Gemini 3.1 Pro Preview |
| LMArena Text: business and finance | 1459 | 1427 | Gemini 3.1 Pro Preview |
| FACTS Benchmark Suite | 67.4% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 4 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index35
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| Design Arena: websites | 1234 | 1248 | Kimi K2.5 |
| Design Arena: UI components | 1227 | 1236 | Kimi K2.5 |
| Design Arena: game dev | 1203 | 1207 | Kimi K2.5 |
| Design Arena: data viz | 1209 | 1219 | Kimi K2.5 |
| Design Arena: 3D | 1234 | 1205 | Gemini 3.1 Pro Preview |
| Design Arena: all code categories | 1231 | 1236 | Kimi K2.5 |
| Design Arena: SVG | 1285 | 1149 | Gemini 3.1 Pro Preview |
| Design Arena: ASCII art | 1270 | 1166 | Gemini 3.1 Pro Preview |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index292
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| SAGE (Vals AI) | 48.7% | 49.9% | Kimi K2.5 |
| MedScribe (Vals AI) | 76.1% | 76.4% | Kimi K2.5 |
| Vals Multimodal Index | 56.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| IFBench | 77.1% | 70.2% | Gemini 3.1 Pro Preview |
| Long context reasoning (AA-LCR) | 82.0% | 78.0% | Gemini 3.1 Pro Preview |
| DTBench | 97.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| LMCA | 53.8% | Not measured | Only Gemini 3.1 Pro Preview measured |
| Fiction.LiveBench | Not measured | 86.1% | Only Kimi K2.5 measured |
| CL-bench | 20.8% | 19.3% | Gemini 3.1 Pro Preview |
| Furniture assembly | 26.7% | Not measured | Only Gemini 3.1 Pro Preview measured |
| ExploitBench | 26.1% | Not measured | Only Gemini 3.1 Pro Preview measured |
| CL-bench Life | 16.9% | 13.2% | Gemini 3.1 Pro Preview |
| LMArena Text | 1480 | 1445 | Gemini 3.1 Pro Preview |
| LMArena Text: instruction following | 1466 | 1431 | Gemini 3.1 Pro Preview |
| LMArena Text: creative writing | 1482 | 1422 | Gemini 3.1 Pro Preview |
| LMArena Vision | 1296 | 1269 | Gemini 3.1 Pro Preview |
| LMArena Text: English | 1478 | 1453 | Gemini 3.1 Pro Preview |
| LMArena Text: non-English | 1476 | 1433 | Gemini 3.1 Pro Preview |
| LMArena Text: Chinese | 1527 | 1494 | Gemini 3.1 Pro Preview |
| LMArena Text: German | 1490 | 1441 | Gemini 3.1 Pro Preview |
| LMArena Text: Japanese | 1491 | 1423 | Gemini 3.1 Pro Preview |
| LMArena Text: Korean | 1455 | 1412 | Gemini 3.1 Pro Preview |
| LMArena Text: French | 1487 | 1454 | Gemini 3.1 Pro Preview |
| LMArena Text: Spanish | 1481 | 1450 | Gemini 3.1 Pro Preview |
| LMArena Text: Russian | 1497 | 1435 | Gemini 3.1 Pro Preview |
| LMArena Text: Polish | 1498 | 1445 | Gemini 3.1 Pro Preview |
| LMArena Text: multi-turn | 1487 | 1444 | Gemini 3.1 Pro Preview |
| LMArena Text: longer queries | 1482 | 1445 | Gemini 3.1 Pro Preview |
| LMArena Text: writing and language | 1481 | 1425 | Gemini 3.1 Pro Preview |
| LMArena Text: entertainment and media | 1465 | 1417 | Gemini 3.1 Pro Preview |
| LMArena Vision: English | 1287 | 1274 | Gemini 3.1 Pro Preview |
| LMArena Vision: Chinese | 1364 | 1328 | Gemini 3.1 Pro Preview |
| LMArena Vision: reading text | 1304 | 1276 | Gemini 3.1 Pro Preview |
| LMArena Vision: humor | 1322 | 1284 | Gemini 3.1 Pro Preview |
| LMArena Vision: captioning | 1345 | 1257 | Gemini 3.1 Pro Preview |
| LMArena Vision: recognizing things | 1330 | 1285 | Gemini 3.1 Pro Preview |
| LMArena Vision: creative writing | 1324 | 1269 | Gemini 3.1 Pro Preview |
| LMArena Document | 1444 | Not measured | Only Gemini 3.1 Pro Preview measured |
| Neither model has a result on the other 7 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 3.1 Pro Preview | Kimi K2.5 | 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
Kimi K2.5 costs less
Repository review
50K input + 3K output tokens
Kimi K2.5 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.5 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 3.1 Pro Preview | MoonshotAI Kimi K2.5 |
|---|---|---|
| Maker | Moonshot AI | |
| Weights | No public weights listed | Open weights |
| Released | February 19, 2026 | January 27, 2026 |
| Context window | 1.05M | 262K |
| Input $/Mtok | $2.00 | $0.532 |
| Output $/Mtok | $12.00 | $2.85 |
| Coding index | 32.3 | 38.6 |
| Independent measurements behind it | 4 | 3 |
| Cost per solved task | $0.99 | $0.24 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemini 3.1 Pro Preview better than Kimi K2.5 for coding?
Pick Kimi K2.5 for coding: it scores 38.6 on the Vibe Coding Index against 32.3 for Gemini 3.1 Pro Preview, though on 3 benchmarks against 4. Pick Gemini 3.1 Pro Preview for a larger context window (1.05M against 262K tokens) and work measured by LMArena WebDev or AA Coding Index, where it leads.
Which is cheaper, Gemini 3.1 Pro Preview or Kimi K2.5?
Gemini 3.1 Pro Preview costs $2.00 per million input tokens and $12.00 per million output tokens; Kimi K2.5 costs $0.532 and $2.85. Per solved SWE-bench Verified task, Gemini 3.1 Pro Preview costs $0.99 and Kimi K2.5 $0.24.
Which has the bigger context window, Gemini 3.1 Pro Preview or Kimi K2.5?
Gemini 3.1 Pro Preview, with 1.05M tokens against 262K.
How many benchmarks is the Gemini 3.1 Pro Preview vs Kimi K2.5 comparison based on?
93 benchmarks have a result for both models as of October 21, 2026. Gemini 3.1 Pro Preview's coding index rests on 4 independent benchmarks and Kimi K2.5's on 3. Where only one model has a result, the page says so instead of naming a winner.