Llama 4 Scout vs o4 Mini
o4 Mini leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 16.7 to 6.5, and Llama 4 Scout costs 8.8x less per output token ($0.50 vs $4.40 per million). Updated October 22, 2026; 79 benchmarks have a result for both.
Llama 4 Scout or o4 Mini: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Llama 4 Scout for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a larger context window (1.31M against 200K tokens).
- Shared results
- 79
- Llama 4 Scout only
- 3
- o4 Mini only
- 19
- 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
Neither has a coding score yet.
One side not measured
Intelligence
AA Intelligence Index
o4 Mini
o4 Mini leads, 16.7 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
o4 Mini
o4 Mini leads, 74.5% against 47.0%.
Same board, both measured
Math
AIME
o4 Mini
o4 Mini leads, 83.7% against 19.0%.
Same board, both measured
Knowledge
MMLU Pro
o4 Mini
o4 Mini leads, 80.6% against 69.6%.
Same board, both measured
Web design
Design Arena: websites
o4 Mini
o4 Mini leads, 985 against 750.
Same board, both measured
Long documents
Listed context window
Llama 4 Scout
Llama 4 Scout takes 1.31M tokens against 200K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
Llama 4 Scout $0.0004, o4 Mini $0.0033 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 not benchmarked, o4 Mini not benchmarked.
- Widest category
- Math, 42.3 points apart on average over 9 shared benchmarks.
- Widest single gap
- AA Math Index: Llama 4 Scout 14.0 against o4 Mini 90.7, 76.7 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.50 against o4 Mini $4.40 per million output tokens, 8.8x apart.
- Context window
- Llama 4 Scout takes 1.31M tokens, o4 Mini 200K.
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 | o4 Mini | Ties |
|---|---|---|---|---|
| Coding | 0 | 6 | ||
| Intelligence | 0 | 2 | ||
| Agentic work | 0 | 2 | ||
| Reasoning | 0 | 13 | ||
| Math | 0 | 9 | ||
| Knowledge | 0 | 12 | ||
| Web design | 0 | 5 | ||
| General | 0 | 30 | ||
| All shared boards | 0 | 79 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index06
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 72.0% | Only o4 Mini measured |
| SWE-bench Verified | 9.1% | 64.6% | o4 Mini |
| SWE-bench Multimodal | Not measured | 33.9% | Only o4 Mini measured |
| AA Coding Index | 8.2 | Not measured | Only Llama 4 Scout measured |
| LiveCodeBench (Vals AI) | 38.5% | 82.2% | o4 Mini |
| LiveCodeBench (Artificial Analysis run) | 29.9% | 85.9% | o4 Mini |
| SciCode | 21.3% | Not measured | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 15.2% | o4 Mini |
| GSO-Bench | Not measured | 3.6% | Only o4 Mini measured |
| WeirdML | Not measured | 52.6% | Only o4 Mini measured |
| LMArena Text: coding | 1286 | 1368 | o4 Mini |
| LMArena Text: software and IT | 1286 | 1367 | o4 Mini |
| SciCode | Not measured | 10.8% | Only o4 Mini measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 16.7 | o4 Mini |
| Epoch Capabilities Index | 129.6 | 145.5 | o4 Mini |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | Not measured | Only Llama 4 Scout measured |
| τ²-Bench Telecom | 15.5% | 55.6% | o4 Mini |
| METR time horizons | Not measured | 63.9% | Only o4 Mini measured |
| Berkeley Function Calling Leaderboard (BFCL) | 28.1% | 53.2% | o4 Mini |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index013
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| GPQA Diamond | 47.0% | 74.5% | o4 Mini |
| MMMU Pro (Vals AI) | 58.8% | 79.7% | o4 Mini |
| GPQA Diamond (Artificial Analysis run) | 58.7% | 78.4% | o4 Mini |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 16.5% | o4 Mini |
| GPQA Diamond (Epoch AI run) | 51.8% | 79.6% | o4 Mini |
| ARC-AGI | 0.5% | 58.7% | o4 Mini |
| ARC-AGI-2 | 0.0% | 6.1% | o4 Mini |
| SimpleBench | Not measured | 38.7% | Only o4 Mini measured |
| Chess puzzles | Not measured | 22.0% | Only o4 Mini measured |
| Mystery game puzzles | Not measured | 5.0% | Only o4 Mini measured |
| VPCT | Not measured | 57.5% | Only o4 Mini measured |
| LMArena Text: hard prompts | 1266 | 1351 | o4 Mini |
| LMArena Text: expert | 1235 | 1343 | o4 Mini |
| LMArena Text: hard prompts in English | 1293 | 1366 | o4 Mini |
| LMArena Vision: diagrams | 1125 | 1197 | o4 Mini |
| LMArena Vision: homework | 1148 | 1234 | o4 Mini |
| Kagi LLM Benchmark | 36.9% | 67.6% | o4 Mini |
| Neither model has a result on the other 5 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index09
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| AIME | 19.0% | 83.7% | o4 Mini |
| MATH 500 (Vals AI) | 79.2% | 94.2% | o4 Mini |
| MGSM (Vals AI) | 88.0% | 93.4% | o4 Mini |
| AA Math Index | 14.0 | 90.7 | o4 Mini |
| AIME 2025 (Artificial Analysis run) | 14.0% | 90.7% | o4 Mini |
| OTIS Mock AIME | 7.8% | 81.7% | o4 Mini |
| FrontierMath, tiers 1 to 3 | Not measured | 36.1% | Only o4 Mini measured |
| FrontierMath, tier 4 | Not measured | 4.9% | Only o4 Mini measured |
| MATH level 5 | 62.3% | 97.8% | o4 Mini |
| LMArena Text: math | 1287 | 1389 | o4 Mini |
| LMArena Text: mathematical work | 1286 | 1379 | o4 Mini |
| Neither model has a result on the other 2 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index012
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| MMLU Pro | 69.6% | 80.6% | o4 Mini |
| LegalBench (Vals AI) | 72.0% | 79.2% | o4 Mini |
| CorpFin (Vals AI) | 46.8% | 59.0% | o4 Mini |
| TaxEval (Vals AI) | 55.2% | 74.8% | o4 Mini |
| MortgageTax (Vals AI) | 57.8% | 64.8% | o4 Mini |
| MedQA (Vals AI) | 50.9% | 96.0% | o4 Mini |
| MedCode (Vals AI) | 23.3% | 33.8% | o4 Mini |
| MMLU Pro (Artificial Analysis run) | 75.2% | 83.2% | o4 Mini |
| SimpleQA Verified | Not measured | 19.6% | Only o4 Mini measured |
| GeoBench | Not measured | 64.0% | Only o4 Mini measured |
| LMArena Text: science | 1278 | 1354 | o4 Mini |
| LMArena Text: medicine and healthcare | 1275 | 1361 | o4 Mini |
| LMArena Text: legal and government | 1285 | 1350 | o4 Mini |
| LMArena Text: business and finance | 1257 | 1325 | o4 Mini |
| FACTS Benchmark Suite | Not measured | 28.1% | Only o4 Mini measured |
| Neither model has a result on the other 3 boards here | |||
Web designLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Llama 4 Scout | o4 Mini | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | 985 | o4 Mini |
| Design Arena: UI components | 765 | 983 | o4 Mini |
| Design Arena: game dev | 772 | 1003 | o4 Mini |
| Design Arena: data viz | 896 | 991 | o4 Mini |
| Design Arena: 3D | Not measured | 854 | Only o4 Mini measured |
| Design Arena: all code categories | 789 | 976 | o4 Mini |
| Neither model has a result on the other 3 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index030
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | o4 Mini | 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 | OpenAI o4 Mini |
|---|---|---|
| Maker | Meta Llama | OpenAI |
| Weights | Open weights | No public weights listed |
| Released | April 5, 2025 | April 16, 2025 |
| Context window | 1.31M | 200K |
| Input $/Mtok | $0.175 | $1.10 |
| Output $/Mtok | $0.50 | $4.40 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | $1.276 | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Llama 4 Scout better than o4 Mini for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Scout for output tokens 8.8x cheaper ($0.50 vs $4.40 per million) and a larger context window (1.31M against 200K tokens).
Which is cheaper, Llama 4 Scout or o4 Mini?
Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; o4 Mini costs $1.10 and $4.40. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Llama 4 Scout or o4 Mini?
Llama 4 Scout, with 1.31M tokens against 200K.
How many benchmarks is the Llama 4 Scout vs o4 Mini comparison based on?
79 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and o4 Mini's on 0. Where only one model has a result, the page says so instead of naming a winner.