Grok 4.7 vs Kimi K3.1 Pro
Kimi K3.1 Pro leads Grok 4.7 on coding, 82.2 to 66.7 on the Vibe Coding Index, and Grok 4.7 costs 1.7x less per output token ($6.00 vs $10.00 per million). Updated October 29, 2026; 33 benchmarks have a result for both.
Grok 4.7 or Kimi K3.1 Pro: which to pick
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 66.7 for Grok 4.7, though on 4 benchmarks against 5.
Pick Grok 4.7 for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads.
- Shared results
- 33
- Grok 4.7 only
- 69
- Kimi K3.1 Pro only
- 2
- Like-for-like categories
- 7 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 K3.1 Pro
Kimi K3.1 Pro scores 82.2 against 66.7.
5 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 46.0 against 35.0.
Same board, both measured
Web design
Design Arena: websites
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 1325 against 1251.
Same board, both measured
General
Vals Index
Kimi K3.1 Pro
Kimi K3.1 Pro leads, 62.5% against 58.6%.
Same board, both measured
Long documents
Listed context window
Kimi K3.1 Pro
Kimi K3.1 Pro takes 1.05M tokens against 500K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.7
Grok 4.7 $0.0050, Kimi K3.1 Pro $0.0070 per turn.
List prices
At a glance
- Coding index
- Grok 4.7 66.7 from 5 benchmarks, Kimi K3.1 Pro 82.2 from 4 benchmarks.
- Widest category
- Math, 41.9 points apart on average over 2 shared benchmarks.
- Widest single gap
- ProofBench: Grok 4.7 26.0% against Kimi K3.1 Pro 91.0%, 65.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.7 $6.00 against Kimi K3.1 Pro $10.00 per million output tokens, 1.7x apart.
- Context window
- Grok 4.7 takes 500K tokens, Kimi K3.1 Pro 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 4.7 | Bars | Kimi K3.1 Pro | Ties |
|---|---|---|---|---|
| Coding | 2 | 6 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 5 | 4 | ||
| Reasoning | 0 | 3 | ||
| Math | 0 | 2 | ||
| Web design | 1 | 6 | ||
| General | 0 | 3 | ||
| All shared boards | 8 | 25 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index26
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench coding | 84.5% | 81.8% | Grok 4.7 |
| LMArena WebDev | 1637 | 1695 | Kimi K3.1 Pro |
| Terminal-Bench 4 (Vals AI) | 28.8% | 63.6% | Kimi K3.1 Pro |
| Vibe Code Bench (Vals AI) | 86.2% | 84.9% | Grok 4.7 |
| Code migration (Vals AI) | 44.8% | Not measured | Only Grok 4.7 measured |
| ProgramBench (Vals AI) | 0.5% | Not measured | Only Grok 4.7 measured |
| IOI (Vals AI) | 57.7% | 81.9% | Kimi K3.1 Pro |
| Terminal-Bench 2.1 (Vals AI) | 73.4% | Not measured | Only Grok 4.7 measured |
| SWE-bench Multimodal (Vals AI) | 42.9% | Not measured | Only Grok 4.7 measured |
| CyberBench (Vals AI) | 69.5% | Not measured | Only Grok 4.7 measured |
| SciCode | 57.8% | 60.8% | Kimi K3.1 Pro |
| FrontierCode | 47.6% | Not measured | Only Grok 4.7 measured |
| FrontierSWE | 29.5% | Not measured | Only Grok 4.7 measured |
| ALE-Bench | Not measured | 1932.8 | Only Kimi K3.1 Pro measured |
| LMArena Text: coding | 1428 | Not measured | Only Grok 4.7 measured |
| LMArena Text: software and IT | 1420 | Not measured | Only Grok 4.7 measured |
| LMArena WebDev: React | 1663 | 1701 | Kimi K3.1 Pro |
| LMArena WebDev: HTML | 1629 | 1706 | Kimi K3.1 Pro |
| LMArena WebDev: from an image | 1586 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 24 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| AA Intelligence Index | 35.0 | 46.0 | Kimi K3.1 Pro |
| Epoch Capabilities Index | 154.4 | Not measured | Only Grok 4.7 measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index54
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench research | 86.4% | 77.9% | Grok 4.7 |
| LiveBench browser | 49.3% | 75.9% | Kimi K3.1 Pro |
| LiveBench long agentic | 46.1% | 39.1% | Grok 4.7 |
| 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% | 24.9% | Grok 4.7 |
| Legal Research Bench (Vals AI) | 47.1% | 37.5% | Grok 4.7 |
| Harvey's Legal Agent Benchmark (Vals AI) | 18.3% | 11.7% | Grok 4.7 |
| Excel Modeling Benchmark (Vals AI) | 67.0% | Not measured | Only Grok 4.7 measured |
| BioMysteryBench (Vals AI) | 69.3% | 75.6% | Kimi K3.1 Pro |
| Terminal-Bench-Science (Vals AI) | 10.0% | 31.4% | Kimi K3.1 Pro |
| Vals Science Index | 34.8% | 44.4% | Kimi K3.1 Pro |
| Robo-bench (Vals AI) | 0.2% | Not measured | Only Grok 4.7 measured |
| APEX-Agents | 54.6% | Not measured | Only Grok 4.7 measured |
| Vending-Bench 2 | $10,537 | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| LiveBench reasoning | 82.7% | 91.1% | Kimi K3.1 Pro |
| MysteryMechanism (Vals AI) | 25.2% | 26.1% | Kimi K3.1 Pro |
| Humanity's Last Exam (Artificial Analysis run) | 43.1% | 52.5% | Kimi K3.1 Pro |
| GPQA Diamond (Epoch AI run) | 92.7% | Not measured | Only Grok 4.7 measured |
| ARC-AGI | 90.2% | Not measured | Only Grok 4.7 measured |
| ARC-AGI-2 | 61.4% | Not measured | Only Grok 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Grok 4.7 measured |
| Mystery game puzzles | 29.0% | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts | 1414 | Not measured | Only Grok 4.7 measured |
| LMArena Text: expert | 1435 | Not measured | Only Grok 4.7 measured |
| LMArena Text: hard prompts in English | 1426 | 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 |
| Humanity's Last Exam (Scale run) | 23.4% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| OTIS Mock AIME | 98.1% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tiers 1 to 3 | 53.0% | Not measured | Only Grok 4.7 measured |
| FrontierMath, tier 4 | 17.1% | Not measured | Only Grok 4.7 measured |
| ProofBench | 26.0% | 91.0% | Kimi K3.1 Pro |
| LMArena Text: math | 1413 | Not measured | Only Grok 4.7 measured |
| LMArena Text: mathematical work | 1434 | Not measured | Only Grok 4.7 measured |
| MathArena | 40.7% | 59.6% | Kimi K3.1 Pro |
| Neither model has a result on the other 7 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | 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% | Not measured | Only Grok 4.7 measured |
| LMArena Text: science | 1416 | Not measured | Only Grok 4.7 measured |
| LMArena Text: medicine and healthcare | 1396 | Not measured | Only Grok 4.7 measured |
| LMArena Text: legal and government | 1421 | Not measured | Only Grok 4.7 measured |
| LMArena Text: business and finance | 1390 | Not measured | Only Grok 4.7 measured |
| PRBench Legal | 47.6% | Not measured | Only Grok 4.7 measured |
| Neither model has a result on the other 12 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index16
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Design Arena: websites | 1251 | 1325 | Kimi K3.1 Pro |
| Design Arena: UI components | 1270 | 1400 | Kimi K3.1 Pro |
| Design Arena: game dev | 1315 | 1410 | Kimi K3.1 Pro |
| Design Arena: data viz | 1235 | 1300 | Kimi K3.1 Pro |
| Design Arena: 3D | 1268 | 1451 | Kimi K3.1 Pro |
| Design Arena: all code categories | 1269 | 1354 | Kimi K3.1 Pro |
| Design Arena: SVG | Not measured | 1328 | Only Kimi K3.1 Pro measured |
| LiveBench design | 78.0% | 77.8% | Grok 4.7 |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index03
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | Leader |
|---|---|---|---|
| Vals Index | 58.6% | 62.5% | Kimi K3.1 Pro |
| LiveBench data analysis | 76.9% | 79.1% | Kimi K3.1 Pro |
| Public Benefits Bench (Vals AI) | 65.6% | Not measured | Only Grok 4.7 measured |
| SAGE (Vals AI) | 88.7% | Not measured | Only Grok 4.7 measured |
| MedScribe (Vals AI) | 89.4% | Not measured | Only Grok 4.7 measured |
| Long context reasoning (AA-LCR) | 80.0% | 86.3% | Kimi K3.1 Pro |
| DTBench | 96.0% | Not measured | Only Grok 4.7 measured |
| LMCA | 49.4% | Not measured | Only Grok 4.7 measured |
| Furniture assembly | 20.8% | Not measured | Only Grok 4.7 measured |
| LMArena Text | 1398 | 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 | 1412 | Not measured | Only Grok 4.7 measured |
| LMArena Text: non-English | 1384 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Chinese | 1447 | Not measured | Only Grok 4.7 measured |
| LMArena Text: German | 1376 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Japanese | 1357 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Korean | 1376 | Not measured | Only Grok 4.7 measured |
| LMArena Text: French | 1426 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Spanish | 1404 | Not measured | Only Grok 4.7 measured |
| LMArena Text: Russian | 1394 | 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 | 1415 | Not measured | Only Grok 4.7 measured |
| LMArena Text: writing and language | 1393 | 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 17 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.7 | Kimi K3.1 Pro | 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 4.7 costs less
Repository review
50K input + 3K output tokens
Grok 4.7 costs less
Agent loop
200K input + 10K output tokens
Grok 4.7 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 K3.1 Pro |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | No public weights listed |
| Released | September 21, 2026 | October 23, 2026 |
| Context window | 500K | 1.05M |
| Input $/Mtok | $2.00 | $2.00 |
| Output $/Mtok | $6.00 | $10.00 |
| Coding index | 66.7 | 82.2 |
| Independent measurements behind it | 5 | 4 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.7 better than Kimi K3.1 Pro for coding?
Pick Kimi K3.1 Pro for coding: it scores 82.2 on the Vibe Coding Index against 66.7 for Grok 4.7, though on 4 benchmarks against 5. Pick Grok 4.7 for output tokens 1.7x cheaper ($6.00 vs $10.00 per million) and work measured by LiveBench coding or Vibe Code Bench (Vals AI), where it leads.
Which is cheaper, Grok 4.7 or Kimi K3.1 Pro?
Grok 4.7 costs $2.00 per million input tokens and $6.00 per million output tokens; Kimi K3.1 Pro costs $2.00 and $10.00. Cost per solved task is known for neither of them.
Which has the bigger context window, Grok 4.7 or Kimi K3.1 Pro?
Kimi K3.1 Pro, with 1.05M tokens against 500K.
How many benchmarks is the Grok 4.7 vs Kimi K3.1 Pro comparison based on?
33 benchmarks have a result for both models as of October 29, 2026. Grok 4.7's coding index rests on 5 independent benchmarks and Kimi K3.1 Pro's on 4. Where only one model has a result, the page says so instead of naming a winner.