Grok 4.3 vs Kimi K2.7 Code
Updated October 21, 2026. 46 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Kimi K2.7 Code for coding: it scores 39.1 on the Vibe Coding Index against 22.5 for Grok 4.3.
Pick Grok 4.3 when output tokens cost 1.3x less, or when a solved task costs $0.31 against $0.35.
- Shared results
- 46
- Grok 4.3 only
- 58
- Kimi K2.7 Code only
- 5
- Like-for-like categories
- 8 of 9
Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.
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, four public coding benchmarks
Kimi K2.7 Code
Kimi K2.7 Code scores 39.1 against 22.5.
One benchmark behind each score
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 24.9.
Same board, both measured
Agentic work
AA Agentic Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 21.0 against 15.5.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Grok 4.3 has a GPQA Diamond result, 91.4%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.3 has a MMLU Pro result, 85.8%.
Directional only
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1264 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
Kimi K2.7 Code
Grok 4.3 $0.0025, Kimi K2.7 Code $0.0023 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.3
Grok 4.3 $0.31, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.3 22.5 from 1 benchmark, Kimi K2.7 Code 39.1 from 1 benchmark.
- Widest category
- Agentic work, 17.4 points apart on average over 11 shared benchmarks.
- Widest single gap
- Vending-Bench 2: Grok 4.3 $35 against Kimi K2.7 Code $5,083, 31.5 points apart on a 0 to 100 scale.
- Output price
- Grok 4.3 $2.50 against Kimi K2.7 Code $3.35 per million output tokens, 1.3x apart.
- Context window
- Grok 4.3 takes 1M 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 | Grok 4.3 | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 3 | 12 | 1 tie | |
| Intelligence | 0 | 1 | ||
| Agentic work | 1 | 10 | ||
| Reasoning | 4 | 0 | ||
| Math | 1 | 2 | ||
| Knowledge | 0 | 1 | ||
| Web design | 0 | 8 | ||
| General | 1 | 1 | ||
| All shared boards | 10 | 35 | 1 tie |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index312
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LMArena WebDev | 1358 | 1474 | Kimi K2.7 Code |
| AA Coding Index | 42.2 | 60.8 | Kimi K2.7 Code |
| LiveCodeBench (Vals AI) | 84.5% | 82.0% | Grok 4.3 |
| SWE-bench Verified (Vals AI) | 71.4% | 78.2% | Kimi K2.7 Code |
| Vibe Code Bench (Vals AI) | 19.4% | 47.2% | Kimi K2.7 Code |
| Code migration (Vals AI) | 6.8% | 25.4% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | 0.0% | 0.0% | Tie |
| Terminal-Bench 2.1 (Vals AI) | 42.0% | 67.0% | Kimi K2.7 Code |
| SkillsBench (Vals AI) | 40.6% | 50.0% | Kimi K2.7 Code |
| SciCode | 48.3% | 47.8% | Grok 4.3 |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 44.7% | Kimi K2.7 Code |
| FrontierCode | Not measured | 30.1% | Only Kimi K2.7 Code measured |
| WeirdML | 49.9% | 54.1% | Kimi K2.7 Code |
| ALE-Bench | 944.2 | 886.2 | Grok 4.3 |
| LMArena Text: coding | 1415 | Not measured | Only Grok 4.3 measured |
| LMArena Text: software and IT | 1416 | Not measured | Only Grok 4.3 measured |
| LMArena WebDev: React | 1353 | 1475 | Kimi K2.7 Code |
| LMArena WebDev: HTML | 1367 | 1451 | Kimi K2.7 Code |
| LMArena WebDev: from an image | 1375 | 1513 | Kimi K2.7 Code |
| Neither model has a result on the other 19 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 24.9 | 25.8 | Kimi K2.7 Code |
| 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 index110
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | 15.5 | 21.0 | Kimi K2.7 Code |
| Design Arena: agents building web apps | 1126 | 1176 | Kimi K2.7 Code |
| Design Arena: agents building full-stack apps | 1006 | 1175 | Kimi K2.7 Code |
| Design Arena: agents building mobile apps | 1059 | 1143 | Kimi K2.7 Code |
| Design Arena: agents building Android apps | 967 | 1143 | Kimi K2.7 Code |
| Design Arena: agents building Godot games | 914 | 1147 | Kimi K2.7 Code |
| Design Arena: agents building games | 1007 | 1130 | Kimi K2.7 Code |
| Design Arena: HTML slides | 1008 | 1201 | Kimi K2.7 Code |
| Design Arena: PowerPoint slides | 1012 | 1154 | Kimi K2.7 Code |
| Finance Agent (Vals AI) | 37.7% | Not measured | Only Grok 4.3 measured |
| Tax Agent Bench (Vals AI) | 6.2% | Not measured | Only Grok 4.3 measured |
| Legal Research Bench (Vals AI) | 15.4% | Not measured | Only Grok 4.3 measured |
| Excel Modeling Benchmark (Vals AI) | 18.4% | Not measured | Only Grok 4.3 measured |
| τ²-Bench Telecom | 97.7% | 90.1% | Grok 4.3 |
| APEX-Agents | Not measured | 37.6% | Only Kimi K2.7 Code measured |
| Vending-Bench 2 | $35 | $5,083 | Kimi K2.7 Code |
| LMArena Search | 1166 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 22 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| GPQA Diamond | 91.4% | Not measured | Only Grok 4.3 measured |
| MMMU Pro (Vals AI) | 83.1% | Not measured | Only Grok 4.3 measured |
| GPQA Diamond (Artificial Analysis run) | 90.1% | 89.6% | Grok 4.3 |
| Humanity's Last Exam (Artificial Analysis run) | 37.2% | 35.0% | Grok 4.3 |
| GPQA Diamond (Epoch AI run) | 88.8% | 87.9% | Grok 4.3 |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | 18.0% | 14.0% | Grok 4.3 |
| LMArena Text: hard prompts | 1396 | Not measured | Only Grok 4.3 measured |
| LMArena Text: expert | 1384 | Not measured | Only Grok 4.3 measured |
| LMArena Text: hard prompts in English | 1402 | Not measured | Only Grok 4.3 measured |
| 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 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index12
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 93.3% | 95.6% | Kimi K2.7 Code |
| FrontierMath, tiers 1 to 3 | 42.8% | 54.0% | Kimi K2.7 Code |
| FrontierMath, tier 4 | 14.6% | 12.2% | Grok 4.3 |
| ProofBench | 11.0% | Not measured | Only Grok 4.3 measured |
| LMArena Text: math | 1387 | Not measured | Only Grok 4.3 measured |
| LMArena Text: mathematical work | 1396 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| MMLU Pro | 85.8% | Not measured | Only Grok 4.3 measured |
| LegalBench (Vals AI) | 84.5% | Not measured | Only Grok 4.3 measured |
| CaseLaw (Vals AI) | 79.3% | Not measured | Only Grok 4.3 measured |
| CorpFin (Vals AI) | 68.5% | Not measured | Only Grok 4.3 measured |
| TaxEval (Vals AI) | 70.8% | Not measured | Only Grok 4.3 measured |
| MortgageTax (Vals AI) | 48.3% | Not measured | Only Grok 4.3 measured |
| MedCode (Vals AI) | 38.1% | Not measured | Only Grok 4.3 measured |
| SimpleQA Verified | 33.2% | 36.5% | Kimi K2.7 Code |
| LMArena Text: science | 1399 | Not measured | Only Grok 4.3 measured |
| LMArena Text: medicine and healthcare | 1384 | Not measured | Only Grok 4.3 measured |
| LMArena Text: legal and government | 1386 | Not measured | Only Grok 4.3 measured |
| LMArena Text: business and finance | 1381 | Not measured | Only Grok 4.3 measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1196 | 1264 | Kimi K2.7 Code |
| Design Arena: UI components | 1192 | 1259 | Kimi K2.7 Code |
| Design Arena: game dev | 1174 | 1220 | Kimi K2.7 Code |
| Design Arena: data viz | 1180 | 1226 | Kimi K2.7 Code |
| Design Arena: 3D | 1125 | 1241 | Kimi K2.7 Code |
| Design Arena: all code categories | 1187 | 1253 | Kimi K2.7 Code |
| Design Arena: SVG | 1081 | 1176 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1125 | 1196 | Kimi K2.7 Code |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.3 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Public Benefits Bench (Vals AI) | 51.7% | Not measured | Only Grok 4.3 measured |
| SAGE (Vals AI) | 19.7% | Not measured | Only Grok 4.3 measured |
| MedScribe (Vals AI) | 74.4% | Not measured | Only Grok 4.3 measured |
| Vals Multimodal Index | 43.3% | Not measured | Only Grok 4.3 measured |
| IFBench | 83.3% | 63.1% | Grok 4.3 |
| Long context reasoning (AA-LCR) | 75.0% | 79.3% | Kimi K2.7 Code |
| DTBench | 90.7% | Not measured | Only Grok 4.3 measured |
| LMCA | 38.3% | Not measured | Only Grok 4.3 measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| LMArena Text | 1397 | Not measured | Only Grok 4.3 measured |
| LMArena Text: instruction following | 1366 | Not measured | Only Grok 4.3 measured |
| LMArena Text: creative writing | 1380 | Not measured | Only Grok 4.3 measured |
| LMArena Vision | 1229 | Not measured | Only Grok 4.3 measured |
| LMArena Text: English | 1404 | Not measured | Only Grok 4.3 measured |
| LMArena Text: non-English | 1385 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Chinese | 1422 | Not measured | Only Grok 4.3 measured |
| LMArena Text: German | 1395 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Japanese | 1379 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Korean | 1354 | Not measured | Only Grok 4.3 measured |
| LMArena Text: French | 1411 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Spanish | 1399 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Russian | 1399 | Not measured | Only Grok 4.3 measured |
| LMArena Text: Polish | 1398 | Not measured | Only Grok 4.3 measured |
| LMArena Text: multi-turn | 1406 | Not measured | Only Grok 4.3 measured |
| LMArena Text: longer queries | 1393 | Not measured | Only Grok 4.3 measured |
| LMArena Text: writing and language | 1385 | Not measured | Only Grok 4.3 measured |
| LMArena Text: entertainment and media | 1370 | Not measured | Only Grok 4.3 measured |
| 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 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.3 | 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
Kimi K2.7 Code costs less
Repository review
50K input + 3K output tokens
Kimi K2.7 Code costs less
Agent loop
200K input + 10K output tokens
Kimi K2.7 Code 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 K2.7 Code |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | April 30, 2026 | June 12, 2026 |
| Context window | 1M | 262K |
| Input $/Mtok | $1.25 | $0.6712 |
| Output $/Mtok | $2.50 | $3.35 |
| Coding index | 22.5 | 39.1 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $0.31 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.3 better than Kimi K2.7 Code for coding?
Pick Kimi K2.7 Code for coding: it scores 39.1 on the Vibe Coding Index against 22.5 for Grok 4.3. Pick Grok 4.3 when output tokens cost 1.3x less, or when a solved task costs $0.31 against $0.35.
Which is cheaper, Grok 4.3 or Kimi K2.7 Code?
Grok 4.3 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Per solved SWE-bench Verified task, Grok 4.3 costs $0.31 and Kimi K2.7 Code $0.35.
Which has the bigger context window, Grok 4.3 or Kimi K2.7 Code?
Grok 4.3, with 1M tokens against 262K.
How many benchmarks is the Grok 4.3 vs Kimi K2.7 Code comparison based on?
46 benchmarks have a result for both models as of October 21, 2026. Grok 4.3's coding index rests on 1 independent benchmark and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.