Grok 4.20 vs Llama 4 Scout
Grok 4.20 leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 25.7 to 6.5, and Llama 4 Scout costs 5.0x less per output token ($0.50 vs $2.50 per million). Updated October 21, 2026; 31 benchmarks have a result for both.
Grok 4.20 or Llama 4 Scout: which to pick
Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding.
Pick Llama 4 Scout for output tokens 5.0x cheaper ($0.50 vs $2.50 per million) and work measured by MortgageTax (Vals AI), where it leads.
- Shared results
- 31
- Grok 4.20 only
- 24
- Llama 4 Scout only
- 51
- 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 6.5.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Llama 4 Scout has a AA Agentic Index result, 0.5.
Directional only
Reasoning
GPQA Diamond
Grok 4.20
Grok 4.20 leads, 88.6% against 47.0%.
Same board, both measured
Math
AIME
Grok 4.20
Grok 4.20 leads, 96.5% against 19.0%.
Same board, both measured
Knowledge
MMLU Pro
Grok 4.20
Grok 4.20 leads, 86.3% against 69.6%.
Same board, both measured
Web design
Design Arena: websites
Grok 4.20
Grok 4.20 leads, 1229 against 750.
Same board, both measured
Long documents
Listed context window
Grok 4.20
Grok 4.20 takes 2M tokens against 1.31M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Grok 4.20 $0.0025, Llama 4 Scout $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Grok 4.20
Grok 4.20 $0.72, Llama 4 Scout $1.276.
Published attempt cost and pass rate
At a glance
- Coding index
- Grok 4.20 33.3 from 2 benchmarks, Llama 4 Scout not benchmarked.
- Widest category
- Math, 77.5 points apart on average over 1 shared benchmark.
- Widest single gap
- ARC-AGI: Grok 4.20 89.5% against Llama 4 Scout 0.5%, 89.0 points apart on a 0 to 100 scale.
- Output price
- Grok 4.20 $2.50 against Llama 4 Scout $0.50 per million output tokens, 5.0x apart.
- Context window
- Grok 4.20 takes 2M tokens, Llama 4 Scout 1.31M.
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 | Llama 4 Scout | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 7 | 0 | ||
| Math | 1 | 0 | ||
| Knowledge | 6 | 1 | ||
| Web design | 5 | 0 | ||
| General | 6 | 0 | ||
| All shared boards | 30 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 9.1% | Only Llama 4 Scout measured |
| AA Coding Index | Not measured | 8.2 | Only Llama 4 Scout measured |
| LiveCodeBench (Vals AI) | 84.3% | 38.5% | 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 | 29.9% | Only Llama 4 Scout measured |
| SciCode | Not measured | 21.3% | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | 37.9% | 1.5% | Grok 4.20 |
| Terminal-Bench | 57.3% | Not measured | Only Grok 4.20 measured |
| WeirdML | 52.3% | Not measured | Only Grok 4.20 measured |
| LMArena Text: coding | Not measured | 1286 | Only Llama 4 Scout measured |
| LMArena Text: software and IT | Not measured | 1286 | Only Llama 4 Scout measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Intelligence Index | 25.7 | 6.5 | Grok 4.20 |
| Epoch Capabilities Index | 152.1 | 129.6 | Grok 4.20 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.5 | Only Llama 4 Scout measured |
| 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% | 15.5% | Grok 4.20 |
| Vending-Bench 2 | $4,663 | Not measured | Only Grok 4.20 measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 28.1% | Only Llama 4 Scout measured |
| Neither model has a result on the other 27 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| GPQA Diamond | 88.6% | 47.0% | Grok 4.20 |
| MMMU Pro (Vals AI) | 83.5% | 58.8% | Grok 4.20 |
| GPQA Diamond (Artificial Analysis run) | 91.1% | 58.7% | Grok 4.20 |
| Humanity's Last Exam (Artificial Analysis run) | 34.5% | 3.8% | Grok 4.20 |
| GPQA Diamond (Epoch AI run) | Not measured | 51.8% | Only Llama 4 Scout measured |
| ARC-AGI | 89.5% | 0.5% | Grok 4.20 |
| ARC-AGI-2 | 65.1% | 0.0% | Grok 4.20 |
| LMArena Text: hard prompts | Not measured | 1266 | Only Llama 4 Scout measured |
| LMArena Text: expert | Not measured | 1235 | Only Llama 4 Scout measured |
| LMArena Text: hard prompts in English | Not measured | 1293 | Only Llama 4 Scout measured |
| LMArena Vision: diagrams | Not measured | 1125 | Only Llama 4 Scout measured |
| LMArena Vision: homework | Not measured | 1148 | Only Llama 4 Scout measured |
| Kagi LLM Benchmark | 75.0% | 36.9% | Grok 4.20 |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| AIME | 96.5% | 19.0% | Grok 4.20 |
| MATH 500 (Vals AI) | Not measured | 79.2% | Only Llama 4 Scout measured |
| MGSM (Vals AI) | Not measured | 88.0% | Only Llama 4 Scout measured |
| AA Math Index | Not measured | 14.0 | Only Llama 4 Scout measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 14.0% | Only Llama 4 Scout measured |
| OTIS Mock AIME | Not measured | 7.8% | Only Llama 4 Scout measured |
| MATH level 5 | Not measured | 62.3% | Only Llama 4 Scout measured |
| LMArena Text: math | Not measured | 1287 | Only Llama 4 Scout measured |
| LMArena Text: mathematical work | Not measured | 1286 | Only Llama 4 Scout measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index61
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU Pro | 86.3% | 69.6% | Grok 4.20 |
| LegalBench (Vals AI) | 77.7% | 72.0% | Grok 4.20 |
| CaseLaw (Vals AI) | 54.4% | Not measured | Only Grok 4.20 measured |
| CorpFin (Vals AI) | 63.7% | 46.8% | Grok 4.20 |
| TaxEval (Vals AI) | 74.1% | 55.2% | Grok 4.20 |
| MortgageTax (Vals AI) | 45.4% | 57.8% | Llama 4 Scout |
| MedQA (Vals AI) | 94.5% | 50.9% | Grok 4.20 |
| MedCode (Vals AI) | 32.2% | 23.3% | Grok 4.20 |
| MMLU Pro (Artificial Analysis run) | Not measured | 75.2% | Only Llama 4 Scout measured |
| LMArena Text: science | Not measured | 1278 | Only Llama 4 Scout measured |
| LMArena Text: medicine and healthcare | Not measured | 1275 | Only Llama 4 Scout measured |
| LMArena Text: legal and government | Not measured | 1285 | Only Llama 4 Scout measured |
| LMArena Text: business and finance | Not measured | 1257 | Only Llama 4 Scout measured |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| Design Arena: websites | 1229 | 750 | Grok 4.20 |
| Design Arena: UI components | 1199 | 768 | Grok 4.20 |
| Design Arena: game dev | 1192 | 773 | Grok 4.20 |
| Design Arena: data viz | 1217 | 896 | Grok 4.20 |
| Design Arena: 3D | 1193 | Not measured | Only Grok 4.20 measured |
| Design Arena: all code categories | 1221 | 790 | 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 index60
| Benchmark | Grok 4.20 | Llama 4 Scout | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 38.2% | 34.8% | Grok 4.20 |
| MedScribe (Vals AI) | 63.4% | 50.6% | Grok 4.20 |
| Vals Multimodal Index | 39.1% | Not measured | Only Grok 4.20 measured |
| IFBench | 81.2% | 39.5% | Grok 4.20 |
| Long context reasoning (AA-LCR) | 69.0% | 27.7% | Grok 4.20 |
| DTBench | 90.1% | 57.9% | Grok 4.20 |
| LMCA | 38.7% | 12.0% | Grok 4.20 |
| Fiction.LiveBench | Not measured | 36.0% | Only Llama 4 Scout measured |
| CL-bench | 22.2% | Not measured | Only Grok 4.20 measured |
| CL-bench Life | 11.9% | Not measured | Only Grok 4.20 measured |
| LMArena Text | Not measured | 1279 | Only Llama 4 Scout measured |
| LMArena Text: instruction following | Not measured | 1248 | Only Llama 4 Scout measured |
| LMArena Text: creative writing | Not measured | 1249 | Only Llama 4 Scout measured |
| LMArena Vision | Not measured | 1118 | Only Llama 4 Scout measured |
| LMArena Text: English | Not measured | 1304 | Only Llama 4 Scout measured |
| LMArena Text: non-English | Not measured | 1252 | Only Llama 4 Scout measured |
| LMArena Text: Chinese | Not measured | 1255 | Only Llama 4 Scout measured |
| LMArena Text: German | Not measured | 1273 | Only Llama 4 Scout measured |
| LMArena Text: Japanese | Not measured | 1206 | Only Llama 4 Scout measured |
| LMArena Text: Korean | Not measured | 1207 | Only Llama 4 Scout measured |
| LMArena Text: French | Not measured | 1283 | Only Llama 4 Scout measured |
| LMArena Text: Spanish | Not measured | 1278 | Only Llama 4 Scout measured |
| LMArena Text: Russian | Not measured | 1263 | Only Llama 4 Scout measured |
| LMArena Text: Polish | Not measured | 1265 | Only Llama 4 Scout measured |
| LMArena Text: multi-turn | Not measured | 1280 | Only Llama 4 Scout measured |
| LMArena Text: longer queries | Not measured | 1265 | Only Llama 4 Scout measured |
| LMArena Text: writing and language | Not measured | 1269 | Only Llama 4 Scout measured |
| LMArena Text: entertainment and media | Not measured | 1242 | Only Llama 4 Scout measured |
| LMArena Vision: English | Not measured | 1143 | Only Llama 4 Scout measured |
| LMArena Vision: Chinese | Not measured | 1106 | Only Llama 4 Scout measured |
| LMArena Vision: reading text | Not measured | 1117 | Only Llama 4 Scout measured |
| LMArena Vision: humor | Not measured | 1102 | Only Llama 4 Scout measured |
| LMArena Vision: creative writing | Not measured | 1126 | Only Llama 4 Scout 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 4.20 | Llama 4 Scout | 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
Llama 4 Scout costs less
Repository review
50K input + 3K output tokens
Llama 4 Scout costs less
Agent loop
200K input + 10K output tokens
Llama 4 Scout 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 | Meta Llama 4 Scout |
|---|---|---|
| Maker | xAI | Meta Llama |
| Weights | No public weights listed | Open weights |
| Released | March 31, 2026 | April 5, 2025 |
| Context window | 2M | 1.31M |
| Input $/Mtok | $1.25 | $0.175 |
| Output $/Mtok | $2.50 | $0.50 |
| Coding index | 33.3 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | $0.72 | $1.276 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Grok 4.20 better than Llama 4 Scout for coding?
Only Grok 4.20 has a coding score, 33.3 on the Vibe Coding Index; Llama 4 Scout has none, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 5.0x cheaper ($0.50 vs $2.50 per million) and work measured by MortgageTax (Vals AI), where it leads.
Which is cheaper, Grok 4.20 or Llama 4 Scout?
Grok 4.20 costs $1.25 per million input tokens and $2.50 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Per solved SWE-bench Verified task, Grok 4.20 costs $0.72 and Llama 4 Scout $1.276.
Which has the bigger context window, Grok 4.20 or Llama 4 Scout?
Grok 4.20, with 2M tokens against 1.31M.
How many benchmarks is the Grok 4.20 vs Llama 4 Scout comparison based on?
31 benchmarks have a result for both models as of October 21, 2026. Grok 4.20's coding index rests on 2 independent benchmarks and Llama 4 Scout's on 0. Where only one model has a result, the page says so instead of naming a winner.