Claude Opus 4.7 vs Llama 4 Scout
Updated October 21, 2026. 64 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Claude Opus 4.7 for coding: it scores 51.1 on the Vibe Coding Index against 9.1 for Llama 4 Scout.
Pick Llama 4 Scout when output tokens cost 83.3x less, or when a solved task costs $1.276 against $2.95.
- Shared results
- 64
- Claude Opus 4.7 only
- 37
- Llama 4 Scout only
- 16
- 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
Claude Opus 4.7
Claude Opus 4.7 scores 51.1 against 9.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
Claude Opus 4.7
Claude Opus 4.7 leads, 40.7 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
Claude Opus 4.7
Claude Opus 4.7 leads, 38.6 against 0.5.
Same board, both measured
Reasoning
GPQA Diamond
Claude Opus 4.7
Claude Opus 4.7 leads, 90.2% against 47.0%.
Same board, both measured
Math
AIME
Claude Opus 4.7
Claude Opus 4.7 leads, 96.3% against 19.0%.
Same board, both measured
Knowledge
MMLU Pro
Claude Opus 4.7
Claude Opus 4.7 leads, 89.9% against 69.6%.
Same board, both measured
Web design
Design Arena: websites
No call
Only Llama 4 Scout has a Design Arena: websites result, 750.
Directional only
Long documents
Listed context window
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 1M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Claude Opus 4.7 $0.018, Llama 4 Scout $0.0003 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
Llama 4 Scout
Claude Opus 4.7 $2.95, Llama 4 Scout $1.276.
Published attempt cost and pass rate
At a glance
- Coding index
- Claude Opus 4.7 51.1 from 1 benchmark, Llama 4 Scout 9.1 from 1 benchmark.
- Widest category
- Math, 60.0 points apart on average over 4 shared benchmarks.
- Widest single gap
- ARC-AGI: Claude Opus 4.7 93.5% against Llama 4 Scout 0.5%, 93.0 points apart on a 0 to 100 scale.
- Output price
- Claude Opus 4.7 $25.00 against Llama 4 Scout $0.30 per million output tokens, 83.3x apart.
- Context window
- Claude Opus 4.7 takes 1M 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 | Claude Opus 4.7 | Bars | Llama 4 Scout | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 12 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 10 | 0 | ||
| General | 29 | 0 | ||
| All shared boards | 64 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 9.1% | Only Llama 4 Scout measured |
| LMArena WebDev | 1558 | Not measured | Only Claude Opus 4.7 measured |
| AA Coding Index | 73.6 | 8.2 | Claude Opus 4.7 |
| LiveCodeBench (Vals AI) | 85.1% | 38.5% | Claude Opus 4.7 |
| SWE-bench Verified (Vals AI) | 82.0% | Not measured | Only Claude Opus 4.7 measured |
| Vibe Code Bench (Vals AI) | 71.0% | Not measured | Only Claude Opus 4.7 measured |
| Code migration (Vals AI) | 43.9% | Not measured | Only Claude Opus 4.7 measured |
| ProgramBench (Vals AI) | 0.0% | Not measured | Only Claude Opus 4.7 measured |
| Terminal-Bench 2.1 (Vals AI) | 68.5% | Not measured | Only Claude Opus 4.7 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) | 54.5% | 1.5% | Claude Opus 4.7 |
| Terminal-Bench | 80.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierCode | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| GSO-Bench | 44.1% | Not measured | Only Claude Opus 4.7 measured |
| WeirdML | 76.4% | Not measured | Only Claude Opus 4.7 measured |
| MirrorCode | 31.1% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: coding | 1519 | 1286 | Claude Opus 4.7 |
| LMArena Text: software and IT | 1516 | 1286 | Claude Opus 4.7 |
| LMArena WebDev: React | 1560 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: HTML | 1554 | Not measured | Only Claude Opus 4.7 measured |
| LMArena WebDev: from an image | 1577 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 16 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Intelligence Index | 40.7 | 6.5 | Claude Opus 4.7 |
| Epoch Capabilities Index | 156.8 | 129.6 | Claude Opus 4.7 |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Agentic Index | 38.6 | 0.5 | Claude Opus 4.7 |
| Finance Agent (Vals AI) | 51.5% | Not measured | Only Claude Opus 4.7 measured |
| Tax Agent Bench (Vals AI) | 23.7% | Not measured | Only Claude Opus 4.7 measured |
| Legal Research Bench (Vals AI) | 38.5% | Not measured | Only Claude Opus 4.7 measured |
| Excel Modeling Benchmark (Vals AI) | 63.7% | Not measured | Only Claude Opus 4.7 measured |
| τ²-Bench Telecom | 88.6% | 15.5% | Claude Opus 4.7 |
| APEX-Agents | 49.2% | Not measured | Only Claude Opus 4.7 measured |
| OSWorld 2.0 | 18.2% | Not measured | Only Claude Opus 4.7 measured |
| PostTrainBench | 28.6% | Not measured | Only Claude Opus 4.7 measured |
| Vending-Bench 2 | $10,937 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Search | 1230 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 28 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index120
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| GPQA Diamond | 90.2% | 47.0% | Claude Opus 4.7 |
| MMMU Pro (Vals AI) | 85.5% | 58.8% | Claude Opus 4.7 |
| GPQA Diamond (Artificial Analysis run) | 91.4% | 58.7% | Claude Opus 4.7 |
| Humanity's Last Exam (Artificial Analysis run) | 42.3% | 3.8% | Claude Opus 4.7 |
| GPQA Diamond (Epoch AI run) | 90.2% | 51.8% | Claude Opus 4.7 |
| ARC-AGI | 93.5% | 0.5% | Claude Opus 4.7 |
| ARC-AGI-2 | 75.8% | 0.0% | Claude Opus 4.7 |
| SimpleBench | 61.7% | Not measured | Only Claude Opus 4.7 measured |
| Chess puzzles | 41.0% | Not measured | Only Claude Opus 4.7 measured |
| Mystery game puzzles | 28.0% | Not measured | Only Claude Opus 4.7 measured |
| EBR-bench | 19.0% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: hard prompts | 1506 | 1266 | Claude Opus 4.7 |
| LMArena Text: expert | 1521 | 1235 | Claude Opus 4.7 |
| LMArena Text: hard prompts in English | 1508 | 1293 | Claude Opus 4.7 |
| LMArena Vision: diagrams | 1336 | 1125 | Claude Opus 4.7 |
| LMArena Vision: homework | 1337 | 1148 | Claude Opus 4.7 |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| AIME | 96.3% | 19.0% | Claude Opus 4.7 |
| 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 | 97.8% | 7.8% | Claude Opus 4.7 |
| FrontierMath, tiers 1 to 3 | 70.2% | Not measured | Only Claude Opus 4.7 measured |
| FrontierMath, tier 4 | 31.7% | Not measured | Only Claude Opus 4.7 measured |
| ProofBench | 54.0% | Not measured | Only Claude Opus 4.7 measured |
| MATH level 5 | Not measured | 62.3% | Only Llama 4 Scout measured |
| LMArena Text: math | 1498 | 1287 | Claude Opus 4.7 |
| LMArena Text: mathematical work | 1509 | 1286 | Claude Opus 4.7 |
| Neither model has a result on the other 1 board here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index100
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU Pro | 89.9% | 69.6% | Claude Opus 4.7 |
| LegalBench (Vals AI) | 85.3% | 72.0% | Claude Opus 4.7 |
| CaseLaw (Vals AI) | 68.4% | Not measured | Only Claude Opus 4.7 measured |
| CorpFin (Vals AI) | 66.1% | 46.8% | Claude Opus 4.7 |
| TaxEval (Vals AI) | 75.3% | 55.2% | Claude Opus 4.7 |
| MortgageTax (Vals AI) | 70.3% | 57.8% | Claude Opus 4.7 |
| MedQA (Vals AI) | Not measured | 50.9% | Only Llama 4 Scout measured |
| MedCode (Vals AI) | 54.9% | 23.3% | Claude Opus 4.7 |
| MMLU Pro (Artificial Analysis run) | Not measured | 75.2% | Only Llama 4 Scout measured |
| SimpleQA Verified | 51.7% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text: science | 1508 | 1278 | Claude Opus 4.7 |
| LMArena Text: medicine and healthcare | 1495 | 1275 | Claude Opus 4.7 |
| LMArena Text: legal and government | 1504 | 1285 | Claude Opus 4.7 |
| LMArena Text: business and finance | 1490 | 1257 | Claude Opus 4.7 |
| Neither model has a result on the other 3 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 750 | Only Llama 4 Scout measured |
| Design Arena: UI components | Not measured | 767 | Only Llama 4 Scout measured |
| Design Arena: game dev | Not measured | 773 | Only Llama 4 Scout measured |
| Design Arena: data viz | Not measured | 896 | Only Llama 4 Scout measured |
| Design Arena: all code categories | Not measured | 790 | Only Llama 4 Scout measured |
| Neither model has a result on the other 4 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index290
| Benchmark | Claude Opus 4.7 | Llama 4 Scout | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 56.1% | 34.8% | Claude Opus 4.7 |
| MedScribe (Vals AI) | 83.0% | 50.6% | Claude Opus 4.7 |
| Vals Multimodal Index | 67.4% | Not measured | Only Claude Opus 4.7 measured |
| IFBench | 58.6% | 39.5% | Claude Opus 4.7 |
| Long context reasoning (AA-LCR) | 78.7% | 27.7% | Claude Opus 4.7 |
| DTBench | 94.7% | 57.9% | Claude Opus 4.7 |
| LMCA | 52.2% | 12.0% | Claude Opus 4.7 |
| Fiction.LiveBench | Not measured | 36.0% | Only Llama 4 Scout measured |
| Furniture assembly | 33.3% | Not measured | Only Claude Opus 4.7 measured |
| ExploitBench | 26.5% | Not measured | Only Claude Opus 4.7 measured |
| LMArena Text | 1490 | 1279 | Claude Opus 4.7 |
| LMArena Text: instruction following | 1498 | 1248 | Claude Opus 4.7 |
| LMArena Text: creative writing | 1486 | 1249 | Claude Opus 4.7 |
| LMArena Vision | 1317 | 1118 | Claude Opus 4.7 |
| LMArena Text: English | 1496 | 1304 | Claude Opus 4.7 |
| LMArena Text: non-English | 1480 | 1252 | Claude Opus 4.7 |
| LMArena Text: Chinese | 1531 | 1255 | Claude Opus 4.7 |
| LMArena Text: German | 1495 | 1273 | Claude Opus 4.7 |
| LMArena Text: Japanese | 1474 | 1206 | Claude Opus 4.7 |
| LMArena Text: Korean | 1464 | 1207 | Claude Opus 4.7 |
| LMArena Text: French | 1503 | 1283 | Claude Opus 4.7 |
| LMArena Text: Spanish | 1494 | 1278 | Claude Opus 4.7 |
| LMArena Text: Russian | 1494 | 1263 | Claude Opus 4.7 |
| LMArena Text: Polish | 1489 | 1265 | Claude Opus 4.7 |
| LMArena Text: multi-turn | 1505 | 1280 | Claude Opus 4.7 |
| LMArena Text: longer queries | 1505 | 1265 | Claude Opus 4.7 |
| LMArena Text: writing and language | 1492 | 1269 | Claude Opus 4.7 |
| LMArena Text: entertainment and media | 1474 | 1242 | Claude Opus 4.7 |
| LMArena Vision: English | 1322 | 1143 | Claude Opus 4.7 |
| LMArena Vision: Chinese | 1371 | 1106 | Claude Opus 4.7 |
| LMArena Vision: reading text | 1327 | 1117 | Claude Opus 4.7 |
| LMArena Vision: humor | 1309 | 1102 | Claude Opus 4.7 |
| LMArena Vision: recognizing things | 1278 | Not measured | Only Claude Opus 4.7 measured |
| LMArena Vision: creative writing | 1326 | 1126 | Claude Opus 4.7 |
| LMArena Document | 1495 | Not measured | Only Claude Opus 4.7 measured |
| Neither model has a result on the other 11 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Claude Opus 4.7 | 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 | Anthropic Claude Opus 4.7 | Meta Llama 4 Scout |
|---|---|---|
| Maker | Anthropic | Meta Llama |
| Weights | No public weights listed | Open weights |
| Released | April 16, 2026 | April 5, 2025 |
| Context window | 1M | 1.31M |
| Input $/Mtok | $5.00 | $0.10 |
| Output $/Mtok | $25.00 | $0.30 |
| Coding index | 51.1 | 9.1 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | $2.95 | $1.276 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Claude Opus 4.7 better than Llama 4 Scout for coding?
Pick Claude Opus 4.7 for coding: it scores 51.1 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when output tokens cost 83.3x less, or when a solved task costs $1.276 against $2.95.
Which is cheaper, Claude Opus 4.7 or Llama 4 Scout?
Claude Opus 4.7 costs $5.00 per million input tokens and $25.00 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Per solved SWE-bench Verified task, Claude Opus 4.7 costs $2.95 and Llama 4 Scout $1.276.
Which has the bigger context window, Claude Opus 4.7 or Llama 4 Scout?
Llama 4 Scout, with 1.31M tokens against 1M.
How many benchmarks is the Claude Opus 4.7 vs Llama 4 Scout comparison based on?
64 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.7's coding index rests on 1 independent benchmark and Llama 4 Scout's on 1. Where only one model has a result, the page says so instead of naming a winner.