Llama 4 Scout vs Solar Pro 4
Updated October 21, 2026. 39 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Solar Pro 4 for coding: it scores 24.4 on the Vibe Coding Index against 9.1 for Llama 4 Scout.
Pick Llama 4 Scout when output tokens cost 2.0x less, or when the context window is larger, 1.31M against 524K tokens.
- Shared results
- 39
- Llama 4 Scout only
- 41
- Solar Pro 4 only
- 6
- Like-for-like categories
- 7 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
Solar Pro 4
Solar Pro 4 scores 24.4 against 9.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
Solar Pro 4
Solar Pro 4 leads, 28.2 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
No call
Only Llama 4 Scout has a GPQA Diamond result, 47.0%.
Directional only
Math
AIME
No call
Only Llama 4 Scout has a AIME result, 19.0%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Scout has a MMLU Pro result, 69.6%.
Directional only
Web design
Design Arena: websites
Solar Pro 4
Solar Pro 4 leads, 1176 against 750.
Same board, both measured
Long documents
Listed context window
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 524K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Llama 4 Scout $0.0003, Solar Pro 4 $0.0004 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Scout has the number, $1.276.
Directional only
At a glance
- Coding index
- Llama 4 Scout 9.1 from 1 benchmark, Solar Pro 4 24.4 from 1 benchmark.
- Widest category
- Web design, 47.0 points apart on average over 5 shared benchmarks.
- Widest single gap
- Design Arena: websites: Llama 4 Scout 750 against Solar Pro 4 1176, 53.3 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.30 against Solar Pro 4 $0.60 per million output tokens, 2.0x apart.
- Context window
- Llama 4 Scout takes 1.31M tokens, Solar Pro 4 524K.
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 | Llama 4 Scout | Bars | Solar Pro 4 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| Web design | 0 | 5 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 39 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index04
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| SWE-bench Verified | 9.1% | Not measured | Only Llama 4 Scout measured |
| LMArena WebDev | Not measured | 1371 | Only Solar Pro 4 measured |
| AA Coding Index | 8.2 | 52.7 | Solar Pro 4 |
| LiveCodeBench (Vals AI) | 38.5% | Not measured | Only Llama 4 Scout measured |
| LiveCodeBench (Artificial Analysis run) | 29.9% | Not measured | Only Llama 4 Scout measured |
| SciCode | 21.3% | 48.0% | Solar Pro 4 |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | Not measured | Only Llama 4 Scout measured |
| ALE-Bench | Not measured | 179.3 | Only Solar Pro 4 measured |
| LMArena Text: coding | 1286 | 1438 | Solar Pro 4 |
| LMArena Text: software and IT | 1286 | 1431 | Solar Pro 4 |
| LMArena WebDev: React | Not measured | 1363 | Only Solar Pro 4 measured |
| LMArena WebDev: HTML | Not measured | 1371 | Only Solar Pro 4 measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 28.2 | Solar Pro 4 |
| Epoch Capabilities Index | 129.6 | Not measured | Only Llama 4 Scout measured |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | Not measured | Only Llama 4 Scout measured |
| Design Arena: agents building web apps | Not measured | 1105 | Only Solar Pro 4 measured |
| τ²-Bench Telecom | 15.5% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| GPQA Diamond | 47.0% | Not measured | Only Llama 4 Scout measured |
| MMMU Pro (Vals AI) | 58.8% | Not measured | Only Llama 4 Scout measured |
| GPQA Diamond (Artificial Analysis run) | 58.7% | 89.1% | Solar Pro 4 |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 29.8% | Solar Pro 4 |
| GPQA Diamond (Epoch AI run) | 51.8% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI | 0.5% | Not measured | Only Llama 4 Scout measured |
| ARC-AGI-2 | 0.0% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: hard prompts | 1266 | 1400 | Solar Pro 4 |
| LMArena Text: expert | 1235 | 1428 | Solar Pro 4 |
| LMArena Text: hard prompts in English | 1293 | 1427 | Solar Pro 4 |
| LMArena Vision: diagrams | 1125 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: homework | 1148 | Not measured | Only Llama 4 Scout 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 | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| AIME | 19.0% | Not measured | Only Llama 4 Scout measured |
| MATH 500 (Vals AI) | 79.2% | Not measured | Only Llama 4 Scout measured |
| MGSM (Vals AI) | 88.0% | Not measured | Only Llama 4 Scout measured |
| AA Math Index | 14.0 | Not measured | Only Llama 4 Scout measured |
| AIME 2025 (Artificial Analysis run) | 14.0% | Not measured | Only Llama 4 Scout measured |
| OTIS Mock AIME | 7.8% | Not measured | Only Llama 4 Scout measured |
| MATH level 5 | 62.3% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: math | 1287 | 1421 | Solar Pro 4 |
| LMArena Text: mathematical work | 1286 | 1427 | Solar Pro 4 |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| MMLU Pro | 69.6% | Not measured | Only Llama 4 Scout measured |
| LegalBench (Vals AI) | 72.0% | Not measured | Only Llama 4 Scout measured |
| CorpFin (Vals AI) | 46.8% | Not measured | Only Llama 4 Scout measured |
| TaxEval (Vals AI) | 55.2% | Not measured | Only Llama 4 Scout measured |
| MortgageTax (Vals AI) | 57.8% | Not measured | Only Llama 4 Scout measured |
| MedQA (Vals AI) | 50.9% | Not measured | Only Llama 4 Scout measured |
| MedCode (Vals AI) | 23.3% | Not measured | Only Llama 4 Scout measured |
| MMLU Pro (Artificial Analysis run) | 75.2% | Not measured | Only Llama 4 Scout measured |
| LMArena Text: science | 1278 | 1404 | Solar Pro 4 |
| LMArena Text: medicine and healthcare | 1275 | 1374 | Solar Pro 4 |
| LMArena Text: legal and government | 1285 | 1383 | Solar Pro 4 |
| LMArena Text: business and finance | 1257 | 1381 | Solar Pro 4 |
| Neither model has a result on the other 5 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | 1176 | Solar Pro 4 |
| Design Arena: UI components | 767 | 1150 | Solar Pro 4 |
| Design Arena: game dev | 773 | 1170 | Solar Pro 4 |
| Design Arena: data viz | 896 | 1177 | Solar Pro 4 |
| Design Arena: 3D | Not measured | 1178 | Only Solar Pro 4 measured |
| Design Arena: all code categories | 790 | 1182 | Solar Pro 4 |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Llama 4 Scout | Solar Pro 4 | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 34.8% | Not measured | Only Llama 4 Scout measured |
| MedScribe (Vals AI) | 50.6% | Not measured | Only Llama 4 Scout measured |
| IFBench | 39.5% | Not measured | Only Llama 4 Scout measured |
| Long context reasoning (AA-LCR) | 27.7% | 70.7% | Solar Pro 4 |
| DTBench | 57.9% | Not measured | Only Llama 4 Scout measured |
| LMCA | 12.0% | Not measured | Only Llama 4 Scout measured |
| Fiction.LiveBench | 36.0% | Not measured | Only Llama 4 Scout measured |
| LMArena Text | 1279 | 1388 | Solar Pro 4 |
| LMArena Text: instruction following | 1248 | 1375 | Solar Pro 4 |
| LMArena Text: creative writing | 1249 | 1317 | Solar Pro 4 |
| LMArena Vision | 1118 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: English | 1304 | 1414 | Solar Pro 4 |
| LMArena Text: non-English | 1252 | 1363 | Solar Pro 4 |
| LMArena Text: Chinese | 1255 | 1422 | Solar Pro 4 |
| LMArena Text: German | 1273 | 1358 | Solar Pro 4 |
| LMArena Text: Japanese | 1206 | 1320 | Solar Pro 4 |
| LMArena Text: Korean | 1207 | 1383 | Solar Pro 4 |
| LMArena Text: French | 1283 | 1400 | Solar Pro 4 |
| LMArena Text: Spanish | 1278 | 1409 | Solar Pro 4 |
| LMArena Text: Russian | 1263 | 1357 | Solar Pro 4 |
| LMArena Text: Polish | 1265 | 1304 | Solar Pro 4 |
| LMArena Text: multi-turn | 1280 | 1385 | Solar Pro 4 |
| LMArena Text: longer queries | 1265 | 1382 | Solar Pro 4 |
| LMArena Text: writing and language | 1269 | 1344 | Solar Pro 4 |
| LMArena Text: entertainment and media | 1242 | 1332 | Solar Pro 4 |
| LMArena Vision: English | 1143 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: Chinese | 1106 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: reading text | 1117 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: humor | 1102 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: creative writing | 1126 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | Solar Pro 4 | 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 | Meta Llama 4 Scout | Upstage Solar Pro 4 |
|---|---|---|
| Maker | Meta Llama | Upstage |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | August 10, 2026 |
| Context window | 1.31M | 524K |
| Input $/Mtok | $0.10 | $0.15 |
| Output $/Mtok | $0.30 | $0.60 |
| Coding index | 9.1 | 24.4 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $1.276 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Scout better than Solar Pro 4 for coding?
Pick Solar Pro 4 for coding: it scores 24.4 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when output tokens cost 2.0x less, or when the context window is larger, 1.31M against 524K tokens.
Which is cheaper, Llama 4 Scout or Solar Pro 4?
Llama 4 Scout costs $0.10 per million input tokens and $0.30 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Llama 4 Scout or Solar Pro 4?
Llama 4 Scout, with 1.31M tokens against 524K.
How many benchmarks is the Llama 4 Scout vs Solar Pro 4 comparison based on?
39 benchmarks have a result for both models as of October 21, 2026. Llama 4 Scout's coding index rests on 1 independent benchmark and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.