Grok 4.7 vs Kimi K2.7 Code
Updated October 21, 2026. 28 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code.
Pick Kimi K2.7 Code when output tokens cost 1.8x less, or when what matters is FrontierMath, tiers 1 to 3 or Design Arena: websites, where it leads.
- Shared results
- 28
- Grok 4.7 only
- 71
- Kimi K2.7 Code only
- 23
- 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
Grok 4.7
Grok 4.7 scores 75.0 against 39.1.
2 and 1 benchmarks behind the scores
Intelligence
AA Intelligence Index
Grok 4.7
Grok 4.7 leads, 46.4 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
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1264 against 1255.
Same board, both measured
General
Vals Index
No call
Only Grok 4.7 has a Vals Index result, 58.6%.
Directional only
Long documents
Listed context window
Grok 4.7
Grok 4.7 takes 500K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2.7 Code
Grok 4.7 $0.0050, Kimi K2.7 Code $0.0023 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Kimi K2.7 Code has the number, $0.35.
Directional only
At a glance
- Coding index
- Grok 4.7 75.0 from 2 benchmarks, Kimi K2.7 Code 39.1 from 1 benchmark.
- Widest category
- Agentic work, 25.5 points apart on average over 2 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.7 86.2% against Kimi K2.7 Code 47.2%, 39.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Kimi K2.7 Code $3.35 per million output tokens, 1.8x apart.
- Context window
- Grok 4.7 takes 500K 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 4.7 | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 10 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 2 | 1 | ||
| Knowledge | 1 | 0 | ||
| Web design | 5 | 1 | ||
| General | 1 | 0 | ||
| All shared boards | 26 | 2 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index100
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | Not measured | Only Grok 4.7 measured |
| LMArena WebDev | 1637 | 1474 | Grok 4.7 |
| AA Coding Index | Not measured | 60.8 | Only Kimi K2.7 Code measured |
| LiveCodeBench (Vals AI) | Not measured | 82.0% | Only Kimi K2.7 Code measured |
| SWE-bench Verified (Vals AI) | Not measured | 78.2% | Only Kimi K2.7 Code measured |
| Terminal-Bench 4 (Vals AI) | 28.8% | Not measured | Only Grok 4.7 measured |
| Vibe Code Bench (Vals AI) | 86.2% | 47.2% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | 25.4% | Grok 4.7 |
| ProgramBench (Vals AI) | 0.5% | 0.0% | Grok 4.7 |
| IOI (Vals AI) | 57.7% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | 67.0% | Grok 4.7 |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | 47.8% | Grok 4.7 |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 44.7% | Only Kimi K2.7 Code measured |
| FrontierCode | 47.6% | 30.1% | Grok 4.7 |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| WeirdML | Not measured | 54.1% | Only Kimi K2.7 Code measured |
| ALE-Bench | Not measured | 886.2 | Only Kimi K2.7 Code measured |
| LMArena Text: coding | 1432 | Not measured | Only Grok 4.7 measured |
| LMArena Text: software and IT | 1421 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: React | 1663 | 1475 | Grok 4.7 |
| LMArena WebDev: HTML | 1627 | 1451 | Grok 4.7 |
| LMArena WebDev: from an image | 1586 | 1513 | Grok 4.7 |
| Neither model has a result on the other 13 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 46.4 | 25.8 | Grok 4.7 |
| Epoch Capabilities Index | 154.4 | 150.1 | Grok 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.0 | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | Not measured | 1176 | Only Kimi K2.7 Code measured |
| Design Arena: agents building full-stack apps | Not measured | 1175 | Only Kimi K2.7 Code measured |
| Design Arena: agents building mobile apps | Not measured | 1143 | Only Kimi K2.7 Code measured |
| Design Arena: agents building Android apps | Not measured | 1143 | Only Kimi K2.7 Code measured |
| Design Arena: agents building Godot games | Not measured | 1147 | Only Kimi K2.7 Code measured |
| Design Arena: agents building games | Not measured | 1130 | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | Not measured | 1201 | Only Kimi K2.7 Code measured |
| Design Arena: PowerPoint slides | Not measured | 1154 | Only Kimi K2.7 Code measured |
| LiveBench research | 86.4% | Not measured | Only Grok 4.7 measured |
| LiveBench browser | 60.0% | Not measured | Only Grok 4.7 measured |
| LiveBench long agentic | 50.1% | Not measured | Only Grok 4.7 measured |
| SREBench (Vals AI) | 3.8% | Not measured | Only Grok 4.7 measured |
| Finance Agent (Vals AI) | 52.3% | Not measured | Only Grok 4.7 measured |
| Tax Agent Bench (Vals AI) | 34.2% | Not measured | Only Grok 4.7 measured |
| Legal Research Bench (Vals AI) | 47.1% | Not measured | Only Grok 4.7 measured |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | Not measured | Only Grok 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| BioMysteryBench (Vals AI) | 69.3% | Not measured | Only Grok 4.7 measured |
| Terminal-Bench-Science (Vals AI) | 10.0% | Not measured | Only Grok 4.7 measured |
| Vals Science Index | 34.8% | Not measured | Only Grok 4.7 measured |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| τ²-Bench Telecom | Not measured | 90.1% | Only Kimi K2.7 Code measured |
| APEX-Agents | 54.6% | 37.6% | Grok 4.7 |
| Vending-Bench 2 | $10,537 | $5,083 | Grok 4.7 |
| Neither model has a result on the other 14 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.7% | Not measured | Only Grok 4.7 measured |
| MysteryMechanism (Vals AI) | 25.2% | Not measured | Only Grok 4.7 measured |
| GPQA Diamond (Artificial Analysis run) | Not measured | 89.6% | Only Kimi K2.7 Code measured |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 35.0% | Grok 4.7 |
| GPQA Diamond (Epoch AI run) | 92.7% | 87.9% | Grok 4.7 |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | 41.0% | 14.0% | Grok 4.7 |
| Mystery game puzzles | 29.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1415 | Not measured | Only Grok 4.7 measured |
| LMArena Text: expert | 1439 | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts in English | 1427 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: diagrams | 1254 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: homework | 1309 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 6 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index21
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | 95.6% | Grok 4.7 |
| FrontierMath, tiers 1 to 3 | 53.0% | 54.0% | Kimi K2.7 Code |
| FrontierMath, tier 4 | 17.1% | 12.2% | Grok 4.7 |
| ProofBench | 26.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: math | 1414 | Not measured | Only Grok 4.7 measured |
| LMArena Text: mathematical work | 1435 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LegalBench (Vals AI) | 84.4% | Not measured | Only Grok 4.7 measured |
| MedCode (Vals AI) | 49.5% | Not measured | Only Grok 4.7 measured |
| SimpleQA Verified | 56.0% | 36.5% | Grok 4.7 |
| LMArena Text: science | 1419 | Not measured | Only Grok 4.7 measured |
| LMArena Text: medicine and healthcare | 1395 | Not measured | Only Grok 4.7 measured |
| LMArena Text: legal and government | 1423 | Not measured | Only Grok 4.7 measured |
| LMArena Text: business and finance | 1389 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 10 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index51
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1255 | 1264 | Kimi K2.7 Code |
| Design Arena: UI components | 1271 | 1259 | Grok 4.7 |
| Design Arena: game dev | 1314 | 1220 | Grok 4.7 |
| Design Arena: data viz | 1227 | 1226 | Grok 4.7 |
| Design Arena: 3D | 1269 | 1241 | Grok 4.7 |
| Design Arena: all code categories | 1271 | 1253 | Grok 4.7 |
| 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 |
| LiveBench design | 78.0% | Not measured | Only Grok 4.7 measured |
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.7 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Vals Index | 58.6% | Not measured | Only Grok 4.7 measured |
| LiveBench data analysis | 76.9% | Not measured | Only Grok 4.7 measured |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 40.8% | Not measured | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 89.4% | Not measured | Only Grok 4.7 measured |
| IFBench | Not measured | 63.1% | Only Kimi K2.7 Code measured |
| Long context reasoning (AA-LCR) | 80.0% | 79.3% | Grok 4.7 |
| DTBench | 96.0% | Not measured | Only Grok 4.7 measured |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1399 | Not measured | Only Grok 4.7 measured |
| LMArena Text: instruction following | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: creative writing | 1381 | Not measured | Only Grok 4.7 measured |
| LMArena Vision | 1231 | Not measured | Only Grok 4.7 measured |
| LMArena Text: English | 1411 | Not measured | Only Grok 4.7 measured |
| LMArena Text: non-English | 1386 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Chinese | 1449 | Not measured | Only Grok 4.7 measured |
| LMArena Text: German | 1366 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Japanese | 1359 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1383 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1431 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Spanish | 1406 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1399 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Polish | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena Text: multi-turn | 1394 | Not measured | Only Grok 4.7 measured |
| LMArena Text: longer queries | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: writing and language | 1394 | Not measured | Only Grok 4.7 measured |
| LMArena Text: entertainment and media | 1376 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: English | 1229 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: Chinese | 1250 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: reading text | 1241 | Not measured | Only Grok 4.7 measured |
| LMArena Vision: creative writing | 1217 | Not measured | Only Grok 4.7 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 4.7 | 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 4.7 | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | September 21, 2026 | June 12, 2026 |
| Context window | 500K | 262K |
| Input $/Mtok | $2.00 | $0.6712 |
| Output $/Mtok | $6.00 | $3.35 |
| Coding index | 75.0 | 39.1 |
| Independent measurements behind it | 2 | 1 |
| Cost per solved task | Not computable | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Kimi K2.7 Code for coding?
Pick Grok 4.7 for coding: it scores 75.0 on the Vibe Coding Index against 39.1 for Kimi K2.7 Code. Pick Kimi K2.7 Code when output tokens cost 1.8x less, or when what matters is FrontierMath, tiers 1 to 3 or Design Arena: websites, where it leads.
Which is cheaper, Grok 4.7 or Kimi K2.7 Code?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Kimi K2.7 Code costs $0.6712 and $3.35. Cost per solved task is known for Kimi K2.7 Code only.
Which has the bigger context window, Grok 4.7 or Kimi K2.7 Code?
Grok 4.7, with 500K tokens against 262K.
How many benchmarks is the Grok 4.7 vs Kimi K2.7 Code comparison based on?
28 benchmarks have a result for both models as of October 21, 2026. Grok 4.7's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 1. Where only one model has a result, the page says so instead of naming a winner.