Grok 4.3 vs Kimi K3
Kimi K3 leads Grok 4.3 on coding, 62.3 to 37.4 on the Vibe Coding Index, and Grok 4.3 costs 6.0x less per output token ($2.50 vs $15.00 per million). Updated October 22, 2026; 89 benchmarks have a result for both.
Grok 4.3 or Kimi K3: which to pick
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 37.4 for Grok 4.3.
Pick Grok 4.3 for output tokens 6.0x cheaper ($2.50 vs $15.00 per million) and a lower cost per solved task ($0.31 against $0.81).
- Shared results
- 89
- Grok 4.3 only
- 16
- Kimi K3 only
- 28
- 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 K3
Kimi K3 scores 62.3 against 37.4.
3 and 6 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3
Kimi K3 leads, 43.6 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K3
Kimi K3 leads, 50.0 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
Kimi K3
Kimi K3 leads, 92.9% against 91.4%.
Same board, both measured
Knowledge
MMLU Pro
Kimi K3
Kimi K3 leads, 88.0% against 85.8%.
Same board, both measured
Web design
Design Arena: websites
Kimi K3
Kimi K3 leads, 1334 against 1196.
Same board, both measured
General
Vals Index
No call
Only Kimi K3 has a Vals Index result, 53.0%.
Directional only
Long documents
Listed context window
Kimi K3
Kimi K3 takes 1.05M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.3
Grok 4.3 $0.0025, Kimi K3 $0.011 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
Grok 4.3 $0.31, Kimi K3 $0.81.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 37.4 from 3 benchmarks, Kimi K3 62.3 from 6 benchmarks.
- Widest category
- Agentic work, 31.1 points apart on average over 15 shared benchmarks.
- Widest single gap
- ProofBench: Grok 4.3 11.0% against Kimi K3 87.0%, 76.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Kimi K3 $15.00 per million output tokens, 6.0x apart.
- Context window
- Grok 4.3 takes 1M tokens, Kimi K3 1.05M.
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 K3 | Ties |
|---|---|---|---|---|
| Coding | 0 | 16 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 15 | ||
| Reasoning | 0 | 9 | ||
| Math | 0 | 6 | ||
| Knowledge | 0 | 11 | ||
| Web design | 0 | 7 | ||
| General | 0 | 24 | ||
| All shared boards | 0 | 89 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index016
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 59.3% | Only Kimi K3 measured |
| LMArena WebDev | 1358 | 1655 | Kimi K3 |
| AA Coding Index | 42.2 | 76.2 | Kimi K3 |
| LiveCodeBench (Vals AI) | 84.5% | 87.2% | Kimi K3 |
| SWE-bench Verified (Vals AI) | 71.4% | 93.4% | Kimi K3 |
| Terminal-Bench 4 (Vals AI) | Not measured | 17.2% | Only Kimi K3 measured |
| Vibe Code Bench (Vals AI) | 19.4% | 85.0% | Kimi K3 |
| Code migration (Vals AI) | 6.8% | 16.1% | Kimi K3 |
| ProgramBench (Vals AI) | 0.0% | 2.0% | Kimi K3 |
| IOI (Vals AI) | Not measured | 48.9% | Only Kimi K3 measured |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 80.9% | Kimi K3 |
| SWE-bench Multimodal (Vals AI) | Not measured | 44.2% | Only Kimi K3 measured |
| Vibe Code Bench 1-100 (Vals AI) | Not measured | 18.2% | Only Kimi K3 measured |
| SkillsBench (Vals AI) | 40.6% | Not measured | Only Grok 4.3 measured |
| CyberBench (Vals AI) | Not measured | 75.2% | Only Kimi K3 measured |
| SciCode | 48.3% | 59.5% | Kimi K3 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | Not measured | Only Grok 4.3 measured |
| FrontierCode | Not measured | 44.2% | Only Kimi K3 measured |
| FrontierSWE | Not measured | 25.9% | Only Kimi K3 measured |
| WeirdML | 49.9% | 82.6% | Kimi K3 |
| ALE-Bench | 944.2 | 1524.5 | Kimi K3 |
| LMArena Text: coding | 1415 | 1508 | Kimi K3 |
| LMArena Text: software and IT | 1416 | 1499 | Kimi K3 |
| LMArena WebDev: React | 1353 | 1670 | Kimi K3 |
| LMArena WebDev: HTML | 1367 | 1644 | Kimi K3 |
| LMArena WebDev: from an image | 1375 | 1579 | Kimi K3 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 43.6 | Kimi K3 |
| Epoch Capabilities Index | Not measured | 157.9 | Only Kimi K3 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 50.0 | Kimi K3 |
| Design Arena: agents building web apps | 1126 | 1295 | Kimi K3 |
| Design Arena: agents building full-stack apps | 1006 | 1315 | Kimi K3 |
| Design Arena: agents building mobile apps | 1058 | 1269 | Kimi K3 |
| Design Arena: agents building Android apps | 962 | 1253 | Kimi K3 |
| Design Arena: agents building Godot games | 914 | 1223 | Kimi K3 |
| Design Arena: agents building games | 1007 | 1252 | Kimi K3 |
| Design Arena: HTML slides | 959 | 1206 | Kimi K3 |
| Design Arena: PowerPoint slides | 988 | 1247 | Kimi K3 |
| Design Arena: spreadsheets | 879 | 1070 | Kimi K3 |
| LiveBench research | Not measured | 79.0% | Only Kimi K3 measured |
| LiveBench browser | Not measured | 16.0% | Only Kimi K3 measured |
| LiveBench long agentic | Not measured | 42.8% | Only Kimi K3 measured |
| Finance Agent (Vals AI) | 37.7% | 53.1% | Kimi K3 |
| Tax Agent Bench (Vals AI) | 6.2% | 33.4% | Kimi K3 |
| Legal Research Bench (Vals AI) | 15.4% | 46.1% | Kimi K3 |
| Harvey's Legal Agent Benchmark (Vals AI) | Not measured | 12.9% | Only Kimi K3 measured |
| Excel Modeling Benchmark (Vals AI) | 18.4% | 66.7% | Kimi K3 |
| BioMysteryBench (Vals AI) | Not measured | 72.6% | Only Kimi K3 measured |
| Terminal-Bench-Science (Vals AI) | Not measured | 1.4% | Only Kimi K3 measured |
| Time Horizon Index (Vals AI) | Not measured | 10.5% | Only Kimi K3 measured |
| τ²-Bench Telecom | 97.7% | Not measured | Only Grok 4.3 measured |
| APEX-Agents | Not measured | 47.8% | Only Kimi K3 measured |
| PostTrainBench | Not measured | 32.0% | Only Kimi K3 measured |
| Vending-Bench 2 | $35 | $5,165 | Kimi K3 |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 15 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | 92.9% | Kimi K3 |
| LiveBench reasoning | Not measured | 90.7% | Only Kimi K3 measured |
| MMMU Pro (Vals AI) | 83.1% | 88.2% | Kimi K3 |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 93.5% | Kimi K3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 46.9% | Kimi K3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 93.1% | Kimi K3 |
| ARC-AGI | Not measured | 94.5% | Only Kimi K3 measured |
| ARC-AGI-2 | Not measured | 60.4% | Only Kimi K3 measured |
| SimpleBench | Not measured | 60.7% | Only Kimi K3 measured |
| Chess puzzles | 18.0% | 37.0% | Kimi K3 |
| Mystery game puzzles | Not measured | 26.0% | Only Kimi K3 measured |
| LMArena Text: hard prompts | 1396 | 1495 | Kimi K3 |
| LMArena Text: expert | 1384 | 1520 | Kimi K3 |
| LMArena Text: hard prompts in English | 1402 | 1496 | Kimi K3 |
| LMArena Vision: diagrams | 1241 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: homework | 1241 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index06
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 97.2% | Kimi K3 |
| FrontierMath, tiers 1 to 3 | 42.8% | 72.2% | Kimi K3 |
| FrontierMath, tier 4 | 14.6% | 39.0% | Kimi K3 |
| ProofBench | 11.0% | 87.0% | Kimi K3 |
| LMArena Text: math | 1387 | 1494 | Kimi K3 |
| LMArena Text: mathematical work | 1396 | 1505 | Kimi K3 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index011
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | 88.0% | Kimi K3 |
| LegalBench (Vals AI) | 84.5% | 86.2% | Kimi K3 |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | 71.6% | Kimi K3 |
| TaxEval (Vals AI) | 70.8% | 75.7% | Kimi K3 |
| MortgageTax (Vals AI) | 48.3% | 66.3% | Kimi K3 |
| MedCode (Vals AI) | 38.1% | 49.4% | Kimi K3 |
| SimpleQA Verified | 33.2% | 50.6% | Kimi K3 |
| LMArena Text: science | 1399 | 1508 | Kimi K3 |
| LMArena Text: medicine and healthcare | 1384 | 1489 | Kimi K3 |
| LMArena Text: legal and government | 1386 | 1503 | Kimi K3 |
| LMArena Text: business and finance | 1381 | 1470 | Kimi K3 |
| Neither model has a result on the other 6 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index07
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1334 | Kimi K3 |
| Design Arena: UI components | 1190 | 1341 | Kimi K3 |
| Design Arena: game dev | 1173 | 1358 | Kimi K3 |
| Design Arena: data viz | 1179 | 1351 | Kimi K3 |
| Design Arena: 3D | 1124 | 1387 | Kimi K3 |
| Design Arena: all code categories | 1186 | 1360 | Kimi K3 |
| Design Arena: SVG | 1080 | 1302 | Kimi K3 |
| Design Arena: ASCII art | 1125 | Not measured | Only Grok 4.3 measured |
| LiveBench design | Not measured | 77.2% | Only Kimi K3 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index024
| Benchmark | Grok 4.3 | Kimi K3 | Leader |
|---|---|---|---|
| Vals Index | Not measured | 53.0% | Only Kimi K3 measured |
| LiveBench data analysis | Not measured | 78.7% | Only Kimi K3 measured |
| Public Benefits Bench (Vals AI) | 51.7% | 68.2% | Kimi K3 |
| SAGE (Vals AI) | 19.7% | 52.8% | Kimi K3 |
| MedScribe (Vals AI) | 74.4% | 88.0% | Kimi K3 |
| Vals Multimodal Index | 43.3% | 73.4% | Kimi K3 |
| IFBench | 83.3% | Not measured | Only Grok 4.3 measured |
| Long context reasoning (AA-LCR) | 75.0% | 88.7% | Kimi K3 |
| DTBench | 90.7% | 91.2% | Kimi K3 |
| LMCA | 38.3% | 52.7% | Kimi K3 |
| Surface Evolver Bench | Not measured | 95.0% | Only Kimi K3 measured |
| Furniture assembly | Not measured | 34.2% | Only Kimi K3 measured |
| LMArena Text | 1397 | 1476 | Kimi K3 |
| LMArena Text: instruction following | 1366 | 1485 | Kimi K3 |
| LMArena Text: creative writing | 1380 | 1457 | Kimi K3 |
| LMArena Vision | 1229 | Not measured | Only Grok 4.3 measured |
| LMArena Text: English | 1404 | 1481 | Kimi K3 |
| LMArena Text: non-English | 1385 | 1466 | Kimi K3 |
| LMArena Text: Chinese | 1422 | 1529 | Kimi K3 |
| LMArena Text: German | 1395 | 1490 | Kimi K3 |
| LMArena Text: Japanese | 1379 | 1494 | Kimi K3 |
| LMArena Text: Korean | 1354 | 1460 | Kimi K3 |
| LMArena Text: French | 1411 | 1492 | Kimi K3 |
| LMArena Text: Spanish | 1399 | 1472 | Kimi K3 |
| LMArena Text: Russian | 1399 | 1485 | Kimi K3 |
| LMArena Text: Polish | 1398 | 1458 | Kimi K3 |
| LMArena Text: multi-turn | 1406 | 1489 | Kimi K3 |
| LMArena Text: longer queries | 1393 | 1494 | Kimi K3 |
| LMArena Text: writing and language | 1385 | 1471 | Kimi K3 |
| LMArena Text: entertainment and media | 1370 | 1453 | Kimi K3 |
| LMArena Vision: English | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: Chinese | 1257 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: reading text | 1235 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: humor | 1222 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: recognizing things | 1217 | Not measured | Only Grok 4.3 measured |
| LMArena Vision: creative writing | 1237 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.3 | Kimi K3 | 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
Grok 4.3 costs less
Agent loop
200K input + 10K output tokens
Grok 4.3 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 K3 |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | July 16, 2026 |
| Context window | 1M | 1.05M |
| Input $/Mtok | $1.25 | $3.00 |
| Output $/Mtok | $2.50 | $15.00 |
| Coding index | 37.4 | 62.3 |
| Independent measurements behind it | 3 | 6 |
| Cost per solved task | $0.31 | $0.81 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Kimi K3 for coding?
Pick Kimi K3 for coding: it scores 62.3 on the Vibe Coding Index against 37.4 for Grok 4.3. Pick Grok 4.3 for output tokens 6.0x cheaper ($2.50 vs $15.00 per million) and a lower cost per solved task ($0.31 against $0.81).
Which is cheaper, Grok 4.3 or Kimi K3?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K3 costs $3.00 and $15.00. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and Kimi K3 $0.81.
Which has the bigger context window, Grok 4.3 or Kimi K3?
Kimi K3, with 1.05M tokens against 1M.
How many benchmarks is the Grok 4.3 vs Kimi K3 comparison based on?
89 benchmarks have a result for both models as of October 22, 2026. Grok 4.3's coding index rests on 3 independent benchmarks and Kimi K3's on 6. Where only one model has a result, the page says so instead of naming a winner.