GPT-4o-mini vs Llama 4 Scout
GPT-4o-mini leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 6.7 to 6.5, and Llama 4 Scout costs 1.2x less per output token ($0.50 vs $0.60 per million). Updated October 21, 2026; 25 benchmarks have a result for both.
GPT-4o-mini or Llama 4 Scout: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick GPT-4o-mini for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
- Shared results
- 25
- GPT-4o-mini only
- 4
- Llama 4 Scout only
- 57
- Like-for-like categories
- 6 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
GPT-4o-mini
GPT-4o-mini leads, 6.7 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
Llama 4 Scout
Llama 4 Scout leads, 47.0% against 44.2%.
Same board, both measured
Math
AIME
Llama 4 Scout
Llama 4 Scout leads, 19.0% against 11.5%.
Same board, both measured
Knowledge
MMLU Pro
Llama 4 Scout
Llama 4 Scout leads, 69.6% against 62.7%.
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 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Llama 4 Scout
GPT-4o-mini $0.0004, Llama 4 Scout $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
- GPT-4o-mini not benchmarked, Llama 4 Scout not benchmarked.
- Widest category
- Knowledge, 8.1 points apart on average over 6 shared benchmarks.
- Widest single gap
- MedQA (Vals AI): GPT-4o-mini 72.4% against Llama 4 Scout 50.9%, 21.5 points apart on a 0 to 100 scale.
- Output price
- GPT-4o-mini $0.60 against Llama 4 Scout $0.50 per million output tokens, 1.2x apart.
- Context window
- GPT-4o-mini takes 128K 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 | GPT-4o-mini | Bars | Llama 4 Scout | Ties |
|---|---|---|---|---|
| Coding | 1 | 2 | ||
| Intelligence | 1 | 1 | ||
| Reasoning | 1 | 4 | 1 tie | |
| Math | 2 | 3 | ||
| Knowledge | 2 | 4 | ||
| General | 0 | 3 | ||
| All shared boards | 7 | 17 | 1 tie |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index12
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 9.1% | Only Llama 4 Scout measured |
| AA Coding Index | 11.4 | 8.2 | GPT-4o-mini |
| LiveCodeBench (Vals AI) | 26.4% | 38.5% | Llama 4 Scout |
| LiveCodeBench (Artificial Analysis run) | 23.4% | 29.9% | Llama 4 Scout |
| SciCode | Not measured | 21.3% | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | Not measured | 1.5% | Only Llama 4 Scout 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 |
| SciCode | 1.5% | Not measured | Only GPT-4o-mini measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.7 | 6.5 | GPT-4o-mini |
| Epoch Capabilities Index | 126.5 | 129.6 | Llama 4 Scout |
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index3 boards, none shared
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.5 | Only Llama 4 Scout measured |
| τ²-Bench Telecom | Not measured | 15.5% | Only Llama 4 Scout measured |
| Berkeley Function Calling Leaderboard (BFCL) | Not measured | 28.1% | Only Llama 4 Scout measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index14
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| GPQA Diamond | 44.2% | 47.0% | Llama 4 Scout |
| MMMU Pro (Vals AI) | 56.6% | 58.8% | Llama 4 Scout |
| GPQA Diamond (Artificial Analysis run) | 42.6% | 58.7% | Llama 4 Scout |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 3.8% | GPT-4o-mini |
| GPQA Diamond (Epoch AI run) | Not measured | 51.8% | Only Llama 4 Scout measured |
| ARC-AGI | Not measured | 0.5% | Only Llama 4 Scout measured |
| ARC-AGI-2 | 0.0% | 0.0% | Tie |
| 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 | 28.8% | 36.9% | Llama 4 Scout |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index23
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| AIME | 11.5% | 19.0% | Llama 4 Scout |
| MATH 500 (Vals AI) | 72.6% | 79.2% | Llama 4 Scout |
| MGSM (Vals AI) | 86.2% | 88.0% | Llama 4 Scout |
| AA Math Index | 14.7 | 14.0 | GPT-4o-mini |
| AIME 2025 (Artificial Analysis run) | 14.7% | 14.0% | GPT-4o-mini |
| OTIS Mock AIME | Not measured | 7.8% | Only Llama 4 Scout measured |
| MATH level 5 | Not measured | 62.3% | Only Llama 4 Scout measured |
| GSM8K | 91.3% | Not measured | Only GPT-4o-mini 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 3 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index24
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU Pro | 62.7% | 69.6% | Llama 4 Scout |
| LegalBench (Vals AI) | Not measured | 72.0% | Only Llama 4 Scout measured |
| CorpFin (Vals AI) | 45.5% | 46.8% | Llama 4 Scout |
| TaxEval (Vals AI) | 60.5% | 55.2% | GPT-4o-mini |
| MortgageTax (Vals AI) | 54.5% | 57.8% | Llama 4 Scout |
| MedQA (Vals AI) | 72.4% | 50.9% | GPT-4o-mini |
| MedCode (Vals AI) | Not measured | 23.3% | Only Llama 4 Scout measured |
| MMLU Pro (Artificial Analysis run) | 64.8% | 75.2% | Llama 4 Scout |
| MMLU | 81.8% | Not measured | Only GPT-4o-mini 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 designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 750 | Only Llama 4 Scout measured |
| Design Arena: UI components | Not measured | 768 | 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 index03
| Benchmark | GPT-4o-mini | Llama 4 Scout | Leader |
|---|---|---|---|
| SAGE (Vals AI) | Not measured | 34.8% | Only Llama 4 Scout measured |
| MedScribe (Vals AI) | Not measured | 50.6% | Only Llama 4 Scout measured |
| IFBench | 31.0% | 39.5% | Llama 4 Scout |
| Long context reasoning (AA-LCR) | Not measured | 27.7% | Only Llama 4 Scout measured |
| DTBench | 54.4% | 57.9% | Llama 4 Scout |
| LMCA | 10.4% | 12.0% | Llama 4 Scout |
| Fiction.LiveBench | Not measured | 36.0% | Only Llama 4 Scout measured |
| PIQA | 88.7% | Not measured | Only GPT-4o-mini 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 15 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | GPT-4o-mini | 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
GPT-4o-mini costs less
Agent loop
200K input + 10K output tokens
GPT-4o-mini 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 | OpenAI GPT-4o-mini | Meta Llama 4 Scout |
|---|---|---|
| Maker | OpenAI | Meta Llama |
| Weights | No public weights listed | Open weights |
| Released | July 18, 2024 | April 5, 2025 |
| Context window | 128K | 1.31M |
| Input $/Mtok | $0.15 | $0.175 |
| Output $/Mtok | $0.60 | $0.50 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | $1.276 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is GPT-4o-mini better than Llama 4 Scout for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick GPT-4o-mini for work measured by LiveCodeBench (Vals AI) or LiveCodeBench (Artificial Analysis run), where it leads.
Which is cheaper, GPT-4o-mini or Llama 4 Scout?
GPT-4o-mini costs $0.15 per million input tokens and $0.60 per million output tokens; Llama 4 Scout costs $0.175 and $0.50. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, GPT-4o-mini or Llama 4 Scout?
Llama 4 Scout, with 1.31M tokens against 128K.
How many benchmarks is the GPT-4o-mini vs Llama 4 Scout comparison based on?
25 benchmarks have a result for both models as of October 21, 2026. GPT-4o-mini's coding index rests on 0 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.