Grok 4.3 vs Kimi K2.6
Kimi K2.6 leads Grok 4.3 on coding, 52.1 to 37.4 on the Vibe Coding Index, and Grok 4.3 costs 1.6x less per output token ($2.50 vs $4.00 per million). Updated October 21, 2026; 101 benchmarks have a result for both.
Grok 4.3 or Kimi K2.6: which to pick
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 37.4 for Grok 4.3.
Pick Grok 4.3 for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a lower cost per solved task ($0.31 against $0.35).
- Shared results
- 101
- Grok 4.3 only
- 3
- Kimi K2.6 only
- 8
- 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 K2.6
Kimi K2.6 scores 52.1 against 37.4.
3 benchmarks behind each score
Intelligence
AA Intelligence Index
Kimi K2.6
Kimi K2.6 leads, 27.0 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.6
Kimi K2.6 leads, 20.5 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.3
Grok 4.3 leads, 91.4% against 89.1%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K2.6
Kimi K2.6 leads, 87.6% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
Kimi K2.6
Kimi K2.6 leads, 1269 against 1196.
Same board, both measured
Long documents
Listed context window
Grok 4.3
Grok 4.3 takes 1M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
Grok 4.3 $0.0025, Kimi K2.6 $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
Grok 4.3 $0.31, Kimi K2.6 $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, Kimi K2.6 52.1 from 3 benchmarks.
- Widest category
- Agentic work, 16.7 points apart on average over 15 shared benchmarks.
- Widest single gap
- Excel Modeling Benchmark (Vals AI): Grok 4.3 18.4% against Kimi K2.6 57.9%, 39.5 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Kimi K2.6 $4.00 per million output tokens, 1.6x apart.
- Context window
- Grok 4.3 takes 1M tokens, Kimi K2.6 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 | Grok 4.3 | Bars | Kimi K2.6 | Ties |
|---|---|---|---|---|
| Coding | 0 | 16 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 14 | ||
| Reasoning | 1 | 10 | ||
| Math | 0 | 6 | ||
| Knowledge | 2 | 10 | ||
| Web design | 0 | 8 | ||
| General | 2 | 29 | ||
| All shared boards | 6 | 94 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index016
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | 1509 | Kimi K2.6 |
| AA Coding Index | 42.2 | 61.8 | Kimi K2.6 |
| LiveCodeBench (Vals AI) | 84.5% | 86.8% | Kimi K2.6 |
| SWE-bench Verified (Vals AI) | 71.4% | 76.2% | Kimi K2.6 |
| Vibe Code Bench (Vals AI) | 19.4% | 37.9% | Kimi K2.6 |
| Code migration (Vals AI) | 6.8% | 27.8% | Kimi K2.6 |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 53.6% | Kimi K2.6 |
| SkillsBench (Vals AI) | 40.6% | Not measured | Only Grok 4.3 measured |
| SciCode | 48.3% | 51.5% | Kimi K2.6 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 43.9% | Kimi K2.6 |
| WeirdML | 49.9% | 55.9% | Kimi K2.6 |
| ALE-Bench | 944.2 | 1092.7 | Kimi K2.6 |
| LMArena Text: coding | 1415 | 1489 | Kimi K2.6 |
| LMArena Text: software and IT | 1416 | 1484 | Kimi K2.6 |
| LMArena WebDev: React | 1353 | 1505 | Kimi K2.6 |
| LMArena WebDev: HTML | 1367 | 1485 | Kimi K2.6 |
| LMArena WebDev: from an image | 1375 | 1521 | Kimi K2.6 |
| Neither model has a result on the other 21 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 27.0 | Kimi K2.6 |
| Epoch Capabilities Index | Not measured | 150.9 | Only Kimi K2.6 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index114
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 20.5 | Kimi K2.6 |
| Design Arena: agents building web apps | 1126 | 1268 | Kimi K2.6 |
| Design Arena: agents building full-stack apps | 1006 | 1155 | Kimi K2.6 |
| Design Arena: agents building mobile apps | 1059 | 1157 | Kimi K2.6 |
| Design Arena: agents building Android apps | 961 | 1160 | Kimi K2.6 |
| Design Arena: agents building Godot games | 914 | 1120 | Kimi K2.6 |
| Design Arena: agents building games | 1007 | 1141 | Kimi K2.6 |
| Design Arena: HTML slides | 1008 | 1184 | Kimi K2.6 |
| Design Arena: PowerPoint slides | 1013 | 1128 | Kimi K2.6 |
| Design Arena: spreadsheets | Not measured | 1276 | Only Kimi K2.6 measured |
| Finance Agent (Vals AI) | 37.7% | 44.9% | Kimi K2.6 |
| Tax Agent Bench (Vals AI) | 6.2% | 12.4% | Kimi K2.6 |
| Legal Research Bench (Vals AI) | 15.4% | 15.9% | Kimi K2.6 |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 57.9% | Kimi K2.6 |
| τ²-Bench Telecom | 97.7% | 95.9% | Grok 4.3 |
| OSWorld 2.0 | Not measured | 4.6% | Only Kimi K2.6 measured |
| Vending-Bench 2 | $35 | $6,205 | Kimi K2.6 |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index110
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | 89.1% | Grok 4.3 |
| MMMU Pro (Vals AI) | 83.1% | 86.3% | Kimi K2.6 |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 91.1% | Kimi K2.6 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 37.5% | Kimi K2.6 |
| GPQA Diamond (Epoch AI run) | 88.8% | 90.8% | Kimi K2.6 |
| Chess puzzles | 18.0% | 20.0% | Kimi K2.6 |
| Mystery game puzzles | Not measured | 18.0% | Only Kimi K2.6 measured |
| EBR-bench | Not measured | 2.4% | Only Kimi K2.6 measured |
| LMArena Text: hard prompts | 1396 | 1470 | Kimi K2.6 |
| LMArena Text: expert | 1384 | 1491 | Kimi K2.6 |
| LMArena Text: hard prompts in English | 1402 | 1471 | Kimi K2.6 |
| LMArena Vision: diagrams | 1241 | 1298 | Kimi K2.6 |
| LMArena Vision: homework | 1241 | 1310 | Kimi K2.6 |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 96.1% | Kimi K2.6 |
| FrontierMath, tiers 1 to 3 | 42.8% | 57.2% | Kimi K2.6 |
| FrontierMath, tier 4 | 14.6% | 25.6% | Kimi K2.6 |
| ProofBench | 11.0% | 16.0% | Kimi K2.6 |
| LMArena Text: math | 1387 | 1474 | Kimi K2.6 |
| LMArena Text: mathematical work | 1396 | 1480 | Kimi K2.6 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index210
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 87.6% | Kimi K2.6 |
| LegalBench (Vals AI) | 84.5% | 84.7% | Kimi K2.6 |
| CaseLaw (Vals AI) | 79.3% | 61.2% | Grok 4.3 |
| CorpFin (Vals AI) | 68.5% | 66.7% | Grok 4.3 |
| TaxEval (Vals AI) | 70.8% | 74.7% | Kimi K2.6 |
| MortgageTax (Vals AI) | 48.3% | 65.8% | Kimi K2.6 |
| MedCode (Vals AI) | 38.1% | 40.1% | Kimi K2.6 |
| SimpleQA Verified | 33.2% | 34.9% | Kimi K2.6 |
| LMArena Text: science | 1399 | 1468 | Kimi K2.6 |
| LMArena Text: medicine and healthcare | 1384 | 1457 | Kimi K2.6 |
| LMArena Text: legal and government | 1386 | 1462 | Kimi K2.6 |
| LMArena Text: business and finance | 1381 | 1445 | Kimi K2.6 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1269 | Kimi K2.6 |
| Design Arena: UI components | 1192 | 1266 | Kimi K2.6 |
| Design Arena: game dev | 1174 | 1251 | Kimi K2.6 |
| Design Arena: data viz | 1179 | 1249 | Kimi K2.6 |
| Design Arena: 3D | 1125 | 1268 | Kimi K2.6 |
| Design Arena: all code categories | 1187 | 1272 | Kimi K2.6 |
| Design Arena: SVG | 1081 | 1181 | Kimi K2.6 |
| Design Arena: ASCII art | 1125 | 1165 | Kimi K2.6 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index229
| Benchmark | Grok 4.3 | Kimi K2.6 | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.7% | 56.6% | Kimi K2.6 |
| SAGE (Vals AI) | 19.7% | 50.2% | Kimi K2.6 |
| MedScribe (Vals AI) | 74.4% | 78.2% | Kimi K2.6 |
| Vals Multimodal Index | 43.3% | 56.4% | Kimi K2.6 |
| IFBench | 83.3% | 76.0% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 81.0% | Kimi K2.6 |
| DTBench | 90.7% | 90.9% | Kimi K2.6 |
| LMCA | 38.3% | 37.3% | Grok 4.3 |
| Furniture assembly | Not measured | 21.7% | Only Kimi K2.6 measured |
| ExploitBench | Not measured | 18.4% | Only Kimi K2.6 measured |
| LMArena Text | 1397 | 1455 | Kimi K2.6 |
| LMArena Text: instruction following | 1366 | 1451 | Kimi K2.6 |
| LMArena Text: creative writing | 1380 | 1434 | Kimi K2.6 |
| LMArena Vision | 1229 | 1282 | Kimi K2.6 |
| LMArena Text: English | 1404 | 1460 | Kimi K2.6 |
| LMArena Text: non-English | 1385 | 1446 | Kimi K2.6 |
| LMArena Text: Chinese | 1422 | 1520 | Kimi K2.6 |
| LMArena Text: German | 1395 | 1451 | Kimi K2.6 |
| LMArena Text: Japanese | 1379 | 1443 | Kimi K2.6 |
| LMArena Text: Korean | 1354 | 1427 | Kimi K2.6 |
| LMArena Text: French | 1411 | 1471 | Kimi K2.6 |
| LMArena Text: Spanish | 1399 | 1464 | Kimi K2.6 |
| LMArena Text: Russian | 1399 | 1446 | Kimi K2.6 |
| LMArena Text: Polish | 1398 | 1438 | Kimi K2.6 |
| LMArena Text: multi-turn | 1406 | 1453 | Kimi K2.6 |
| LMArena Text: longer queries | 1393 | 1468 | Kimi K2.6 |
| LMArena Text: writing and language | 1385 | 1439 | Kimi K2.6 |
| LMArena Text: entertainment and media | 1370 | 1428 | Kimi K2.6 |
| LMArena Vision: English | 1235 | 1287 | Kimi K2.6 |
| LMArena Vision: Chinese | 1257 | 1346 | Kimi K2.6 |
| LMArena Vision: reading text | 1235 | 1291 | Kimi K2.6 |
| LMArena Vision: humor | 1222 | 1280 | Kimi K2.6 |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | 1273 | Kimi K2.6 |
| LMArena Document | Not measured | 1451 | Only Kimi K2.6 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.3 | Kimi K2.6 | 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
Grok 4.3 costs less
Repository review
50K input + 3K output tokens
Kimi K2.6 costs less
Agent loop
200K input + 10K output tokens
Kimi K2.6 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 | SpaceXAI Grok 4.3 | MoonshotAI Kimi K2.6 |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | April 20, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $1.25 | $0.95 |
| Output $/Mtok | $2.50 | $4.00 |
| Coding index | 37.4 | 52.1 |
| Independent measurements behind it | 3 | 3 |
| Cost per solved task | $0.31 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Kimi K2.6 for coding?
Pick Kimi K2.6 for coding: it scores 52.1 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for output tokens 1.6x cheaper ($2.50 vs $4.00 per million) and a lower cost per solved task ($0.31 against $0.35).
Which is cheaper, Grok 4.3 or Kimi K2.6?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2.6 costs $0.95 and $4.00. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and Kimi K2.6 $0.35.
Which has the bigger context window, Grok 4.3 or Kimi K2.6?
Grok 4.3, with 1M tokens against 262K.
How many benchmarks is the Grok 4.3 vs Kimi K2.6 comparison based on?
101 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Kimi K2.6's on 3. Where only one model has a result, the page says so instead of naming a winner.