Grok 4.20 vs Kimi K2.7 Code
Updated October 21, 2026. 29 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 53.4 on the Vibe Coding Index against 33.3 for Grok 4.20.
Pick Grok 4.20 when output tokens cost 1.6x less, or when the context window is larger, 2M against 262K tokens.
- Shared results
- 29
- Grok 4.20 only
- 25
- Kimi K2.7 Code only
- 22
- Like-for-like categories
- 6 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, six public coding benchmarks
Kimi K2.7 Code
Kimi K2.7 Code scores 53.4 against 33.3.
2 and 4 benchmarks behind the scores
Intelligence
AA Intelligence Index
Kimi K2.7 Code
Kimi K2.7 Code leads, 25.8 against 25.7.
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
Reasoning
GPQA Diamond
No call
Only Grok 4.20 has a GPQA Diamond result, 88.6%.
Directional only
Math
AIME
No call
Only Grok 4.20 has a AIME result, 96.5%.
Directional only
Knowledge
MMLU Pro
No call
Only Grok 4.20 has a MMLU Pro result, 86.3%.
Directional only
Web design
Design Arena: websites
Kimi K2.7 Code
Kimi K2.7 Code leads, 1264 against 1229.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Grok 4.20
Grok 4.20 $0.0025, Kimi K2.7 Code $0.0029 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Kimi K2.7 Code
Grok 4.20 $0.72, Kimi K2.7 Code $0.35.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.20 33.3 from 2 benchmarks, Kimi K2.7 Code 53.4 from 4 benchmarks.
- Widest category
- Coding, 15.4 points apart on average over 7 shared benchmarks.
- Widest single gap
- Vibe Code Bench (Vals AI): Grok 4.20 4.1% against Kimi K2.7 Code 47.2%, 43.1 points apart on a 0 to 100 scale.
- Output price
- Grok 4.20 $2.50 against Kimi K2.7 Code $4.00 per million output tokens, 1.6x apart.
- Context window
- Grok 4.20 takes 2M 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 4.20 | Bars | Kimi K2.7 Code | Ties |
|---|---|---|---|---|
| Coding | 1 | 6 | ||
| Intelligence | 1 | 1 | ||
| Agentic work | 1 | 7 | ||
| Reasoning | 1 | 1 | ||
| Web design | 0 | 8 | ||
| General | 1 | 1 | ||
| All shared boards | 5 | 24 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index16
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| LMArena WebDev | Not measured | 1474 | Only Kimi K2.7 Code measured |
| AA Coding Index | Not measured | 60.8 | Only Kimi K2.7 Code measured |
| LiveCodeBench (Vals AI) | 84.3% | 82.0% | Grok 4.20 |
| SWE-bench Verified (Vals AI) | 72.2% | 78.2% | Kimi K2.7 Code |
| Vibe Code Bench (Vals AI) | 4.1% | 47.2% | Kimi K2.7 Code |
| Code migration (Vals AI) | 0.3% | 25.4% | Kimi K2.7 Code |
| ProgramBench (Vals AI) | Not measured | 0.0% | Only Kimi K2.7 Code measured |
| Terminal-Bench 2.1 (Vals AI) | 44.2% | 67.0% | Kimi K2.7 Code |
| SkillsBench (Vals AI) | Not measured | 50.0% | Only Kimi K2.7 Code measured |
| SciCode | Not measured | 47.8% | Only Kimi K2.7 Code measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 44.7% | Kimi K2.7 Code |
| Terminal-Bench | 57.3% | Not measured | Only Grok 4.20 measured |
| FrontierCode | Not measured | 30.1% | Only Kimi K2.7 Code measured |
| WeirdML | 52.3% | 54.1% | Kimi K2.7 Code |
| ALE-Bench | Not measured | 886.2 | Only Kimi K2.7 Code measured |
| LMArena WebDev: React | Not measured | 1475 | Only Kimi K2.7 Code measured |
| LMArena WebDev: HTML | Not measured | 1451 | Only Kimi K2.7 Code measured |
| LMArena WebDev: from an image | Not measured | 1513 | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 20 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.7 | 25.8 | Kimi K2.7 Code |
| Epoch Capabilities Index | 152.1 | 150.1 | Grok 4.20 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index17
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 21.0 | Only Kimi K2.7 Code measured |
| Design Arena: agents building web apps | 1144 | 1176 | Kimi K2.7 Code |
| Design Arena: agents building full-stack apps | 1054 | 1175 | Kimi K2.7 Code |
| Design Arena: agents building mobile apps | 1090 | 1143 | Kimi K2.7 Code |
| Design Arena: agents building Android apps | 1052 | 1143 | Kimi K2.7 Code |
| Design Arena: agents building Godot games | 1089 | 1147 | Kimi K2.7 Code |
| Design Arena: agents building games | Not measured | 1131 | Only Kimi K2.7 Code measured |
| Design Arena: HTML slides | 1180 | 1201 | Kimi K2.7 Code |
| Design Arena: PowerPoint slides | Not measured | 1154 | Only Kimi K2.7 Code measured |
| Finance Agent (Vals AI) | 28.5% | Not measured | Only Grok 4.20 measured |
| Tax Agent Bench (Vals AI) | 7.0% | Not measured | Only Grok 4.20 measured |
| Legal Research Bench (Vals AI) | 13.9% | Not measured | Only Grok 4.20 measured |
| Excel Modeling Benchmark (Vals AI) | 11.7% | Not measured | Only Grok 4.20 measured |
| τ²-Bench Telecom | 93.0% | 90.1% | Grok 4.20 |
| APEX-Agents | Not measured | 37.6% | Only Kimi K2.7 Code measured |
| Vending-Bench 2 | $4,663 | $5,083 | Kimi K2.7 Code |
| Neither model has a result on the other 23 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| GPQA Diamond | 88.6% | Not measured | Only Grok 4.20 measured |
| MMMU Pro (Vals AI) | 83.5% | Not measured | Only Grok 4.20 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 89.6% | Grok 4.20 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 35.0% | Kimi K2.7 Code |
| GPQA Diamond (Epoch AI run) | Not measured | 87.9% | Only Kimi K2.7 Code measured |
| ARC-AGI | 89.5% | Not measured | Only Grok 4.20 measured |
| ARC-AGI-2 | 65.1% | Not measured | Only Grok 4.20 measured |
| SimpleBench | Not measured | 57.9% | Only Kimi K2.7 Code measured |
| Chess puzzles | Not measured | 14.0% | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 12 boards here | |||
MathDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| AIME | 96.5% | Not measured | Only Grok 4.20 measured |
| OTIS Mock AIME | Not measured | 95.6% | Only Kimi K2.7 Code measured |
| FrontierMath, tiers 1 to 3 | Not measured | 54.0% | Only Kimi K2.7 Code measured |
| FrontierMath, tier 4 | Not measured | 12.2% | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 9 boards here | |||
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | Not measured | Only Grok 4.20 measured |
| LegalBench (Vals AI) | 77.7% | Not measured | Only Grok 4.20 measured |
| CaseLaw (Vals AI) | 54.4% | Not measured | Only Grok 4.20 measured |
| CorpFin (Vals AI) | 63.7% | Not measured | Only Grok 4.20 measured |
| TaxEval (Vals AI) | 74.1% | Not measured | Only Grok 4.20 measured |
| MortgageTax (Vals AI) | 45.4% | Not measured | Only Grok 4.20 measured |
| MedQA (Vals AI) | 94.5% | Not measured | Only Grok 4.20 measured |
| MedCode (Vals AI) | 32.2% | Not measured | Only Grok 4.20 measured |
| SimpleQA Verified | Not measured | 36.5% | Only Kimi K2.7 Code measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index08
| Benchmark | Grok 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| Design Arena: websites | 1229 | 1264 | Kimi K2.7 Code |
| Design Arena: UI components | 1199 | 1259 | Kimi K2.7 Code |
| Design Arena: game dev | 1192 | 1220 | Kimi K2.7 Code |
| Design Arena: data viz | 1217 | 1227 | Kimi K2.7 Code |
| Design Arena: 3D | 1193 | 1241 | Kimi K2.7 Code |
| Design Arena: all code categories | 1221 | 1253 | Kimi K2.7 Code |
| Design Arena: SVG | 1164 | 1176 | Kimi K2.7 Code |
| Design Arena: ASCII art | 1174 | 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 4.20 | Kimi K2.7 Code | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 38.2% | Not measured | Only Grok 4.20 measured |
| MedScribe (Vals AI) | 63.4% | Not measured | Only Grok 4.20 measured |
| Vals Multimodal Index | 39.1% | Not measured | Only Grok 4.20 measured |
| IFBench | 81.2% | 63.1% | Grok 4.20 |
| Long context reasoning (AA-LCR) | 69.0% | 79.3% | Kimi K2.7 Code |
| DTBench | 90.1% | Not measured | Only Grok 4.20 measured |
| LMCA | 38.7% | Not measured | Only Grok 4.20 measured |
| CL-bench | 22.2% | Not measured | Only Grok 4.20 measured |
| Surface Evolver Bench | Not measured | 48.8% | Only Kimi K2.7 Code measured |
| CL-bench Life | 11.9% | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 36 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.20 | 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
Grok 4.20 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 4.20 | MoonshotAI Kimi K2.7 Code |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | March 31, 2026 | June 12, 2026 |
| Context window | 2M | 262K |
| Input $/Mtok | $1.25 | $0.95 |
| Output $/Mtok | $2.50 | $4.00 |
| Coding index | 33.3 | 53.4 |
| Independent measurements behind it | 2 | 4 |
| Cost per solved task | $0.72 | $0.35 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.20 better than Kimi K2.7 Code for coding?
Pick Kimi K2.7 Code for coding: it scores 53.4 on the Vibe Coding Index against 33.3 for Grok 4.20. Pick Grok 4.20 when output tokens cost 1.6x less, or when the context window is larger, 2M against 262K tokens.
Which is cheaper, Grok 4.20 or Kimi K2.7 Code?
Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2.7 Code costs $0.95 and $4.00. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and Kimi K2.7 Code $0.35.
Which has the bigger context window, Grok 4.20 or Kimi K2.7 Code?
Grok 4.20, with 2M tokens against 262K.
How many benchmarks is the Grok 4.20 vs Kimi K2.7 Code comparison based on?
29 benchmarks have a result for both models as of October 21, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Kimi K2.7 Code's on 4. Where only one model has a result, the page says so instead of naming a winner.