Grok 4.20 vs Kimi K2 0711
Grok 4.20 leads Kimi K2 0711 on the Artificial Analysis Intelligence Index, 25.7 to 12.7, at about the same output price ($2.50 vs $2.30 per million). Updated October 21, 2026; 24 benchmarks have a result for both.
Grok 4.20 or Kimi K2 0711: which to pick
Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding.
Pick Kimi K2 0711 for output tokens 1.1x cheaper ($2.30 vs $2.50 per million) and work measured by LegalBench (Vals AI), where it leads.
- Shared results
- 24
- Grok 4.20 only
- 30
- Kimi K2 0711 only
- 12
- 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
No call
Only Grok 4.20 has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Grok 4.20
Grok 4.20 leads, 25.7 against 12.7.
Same board, both measured
Reasoning
GPQA Diamond
Grok 4.20
Grok 4.20 leads, 88.6% against 71.5%.
Same board, both measured
Math
AIME
Grok 4.20
Grok 4.20 leads, 96.5% against 62.7%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.20
Grok 4.20 leads, 86.3% against 79.4%.
Same board, both measured
Web design
Design Arena: websites
Grok 4.20
Grok 4.20 leads, 1229 against 1050.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Kimi K2 0711
Grok 4.20 $0.0025, Kimi K2 0711 $0.0017 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Grok 4.20 has the number, $0.72.
Directional only
At a glance
- Coding index
- Grok 4.20 33.3 from 2 benchmarks, Kimi K2 0711 not benchmarked.
- Widest category
- Math, 33.7 points apart on average over 1 shared benchmark.
- Widest single gap
- IFBench: Grok 4.20 81.2% against Kimi K2 0711 41.5%, 39.7 points apart on a 0 to 100 scale.
- Output price
- Grok 4.20 $2.50 against Kimi K2 0711 $2.30 per million output tokens, 1.1x apart.
- Context window
- Grok 4.20 takes 2M tokens, Kimi K2 0711 131K.
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 0711 | Ties |
|---|---|---|---|---|
| Coding | 4 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 3 | 0 | ||
| Math | 1 | 0 | ||
| Knowledge | 4 | 1 | ||
| Web design | 5 | 0 | ||
| General | 3 | 0 | ||
| All shared boards | 23 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 59.1% | Only Kimi K2 0711 measured |
| SWE-bench Verified | Not measured | 71.2% | Only Kimi K2 0711 measured |
| LiveCodeBench (Vals AI) | 84.3% | 70.5% | Grok 4.20 |
| SWE-bench Verified (Vals AI) | 72.2% | Not measured | Only Grok 4.20 measured |
| Vibe Code Bench (Vals AI) | 4.1% | Not measured | Only Grok 4.20 measured |
| Code migration (Vals AI) | 0.3% | Not measured | Only Grok 4.20 measured |
| Terminal-Bench 2.1 (Vals AI) | 44.2% | Not measured | Only Grok 4.20 measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 55.6% | Only Kimi K2 0711 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 15.9% | Grok 4.20 |
| Terminal-Bench | 57.3% | 27.8% | Grok 4.20 |
| GSO-Bench | Not measured | 4.9% | Only Kimi K2 0711 measured |
| WeirdML | 52.3% | 39.4% | Grok 4.20 |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.7 | 12.7 | Grok 4.20 |
| Epoch Capabilities Index | 152.1 | 140.0 | Grok 4.20 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| Design Arena: agents building web apps | 1144 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building full-stack apps | 1054 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building mobile apps | 1090 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building Android apps | 1052 | Not measured | Only Grok 4.20 measured |
| Design Arena: agents building Godot games | 1089 | Not measured | Only Grok 4.20 measured |
| Design Arena: HTML slides | 1180 | Not measured | Only Grok 4.20 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% | 61.1% | Grok 4.20 |
| Vending-Bench 2 | $4,663 | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| GPQA Diamond | 88.6% | 71.5% | Grok 4.20 |
| MMMU Pro (Vals AI) | 83.5% | Not measured | Only Grok 4.20 measured |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 76.6% | Grok 4.20 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 7.4% | Grok 4.20 |
| 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 | 26.3% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| AIME | 96.5% | 62.7% | Grok 4.20 |
| MATH 500 (Vals AI) | Not measured | 94.2% | Only Kimi K2 0711 measured |
| MGSM (Vals AI) | Not measured | 91.0% | Only Kimi K2 0711 measured |
| AA Math Index | Not measured | 57.0 | Only Kimi K2 0711 measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 57.0% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index41
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | 79.4% | Grok 4.20 |
| LegalBench (Vals AI) | 77.7% | 81.5% | Kimi K2 0711 |
| CaseLaw (Vals AI) | 54.4% | Not measured | Only Grok 4.20 measured |
| CorpFin (Vals AI) | 63.7% | 50.4% | Grok 4.20 |
| TaxEval (Vals AI) | 74.1% | 70.2% | Grok 4.20 |
| MortgageTax (Vals AI) | 45.4% | Not measured | Only Grok 4.20 measured |
| MedQA (Vals AI) | 94.5% | 84.0% | Grok 4.20 |
| MedCode (Vals AI) | 32.2% | Not measured | Only Grok 4.20 measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 82.4% | Only Kimi K2 0711 measured |
| Neither model has a result on the other 8 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Grok 4.20 | Kimi K2 0711 | Leader |
|---|---|---|---|
| Design Arena: websites | 1229 | 1050 | Grok 4.20 |
| Design Arena: UI components | 1199 | 1030 | Grok 4.20 |
| Design Arena: game dev | 1192 | 974 | Grok 4.20 |
| Design Arena: data viz | 1217 | 1018 | Grok 4.20 |
| Design Arena: 3D | 1193 | Not measured | Only Grok 4.20 measured |
| Design Arena: all code categories | 1221 | 1033 | Grok 4.20 |
| Design Arena: SVG | 1164 | Not measured | Only Grok 4.20 measured |
| Design Arena: ASCII art | 1174 | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 1 board here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Grok 4.20 | Kimi K2 0711 | 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% | 41.5% | Grok 4.20 |
| Long context reasoning (AA-LCR) | 69.0% | 53.0% | Grok 4.20 |
| DTBench | 90.1% | Not measured | Only Grok 4.20 measured |
| LMCA | 38.7% | Not measured | Only Grok 4.20 measured |
| Fiction.LiveBench | Not measured | 61.1% | Only Kimi K2 0711 measured |
| Creative writing (Lech Mazur) | Not measured | 85.6% | Only Kimi K2 0711 measured |
| CL-bench | 22.2% | 11.9% | Grok 4.20 |
| CL-bench Life | 11.9% | Not measured | Only Grok 4.20 measured |
| Neither model has a result on the other 35 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Grok 4.20 | Kimi K2 0711 | 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 0711 costs less
Repository review
50K input + 3K output tokens
Kimi K2 0711 costs less
Agent loop
200K input + 10K output tokens
Kimi K2 0711 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 0711 |
|---|---|---|
| Maker | xAI | Moonshot AI |
| Weights | No public weights listed | Open weights |
| Released | March 31, 2026 | July 11, 2025 |
| Context window | 2M | 131K |
| Input $/Mtok | $1.25 | $0.57 |
| Output $/Mtok | $2.50 | $2.30 |
| Coding index | 33.3 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | $0.72 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.20 better than Kimi K2 0711 for coding?
Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Kimi K2 0711 has none, so the two cannot be ranked on coding. Pick Kimi K2 0711 for output tokens 1.1x cheaper ($2.30 vs $2.50 per million) and work measured by LegalBench (Vals AI), where it leads.
Which is cheaper, Grok 4.20 or Kimi K2 0711?
Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Kimi K2 0711 costs $0.57 and $2.30. Cost per solved task is known for Grok 4.20 only.
Which has the bigger context window, Grok 4.20 or Kimi K2 0711?
Grok 4.20, with 2M tokens against 131K.
How many benchmarks is the Grok 4.20 vs Kimi K2 0711 comparison based on?
24 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 0711's on 0. Where only one model has a result, the page says so instead of naming a winner.