Llama 4 Scout vs Reka Flash 3
Llama 4 Scout leads Reka Flash 3 on the Artificial Analysis Intelligence Index, 6.5 to 6.4, and Reka Flash 3 costs 2.5x less per output token ($0.20 vs $0.50 per million). Updated October 22, 2026; 11 benchmarks have a result for both.
Llama 4 Scout or Reka Flash 3: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Llama 4 Scout for a larger context window (1.31M against 66K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.
- Shared results
- 11
- Llama 4 Scout only
- 71
- Reka Flash 3 only
- 1
- Like-for-like categories
- 7 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
Llama 4 Scout
Llama 4 Scout leads, 6.5 against 6.4.
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
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 66K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Reka Flash 3
Llama 4 Scout $0.0004, Reka Flash 3 $0.0002 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, Reka Flash 3 not benchmarked.
- Widest category
- Math, 19.7 points apart on average over 2 shared benchmarks.
- Widest single gap
- Long context reasoning (AA-LCR): Llama 4 Scout 27.7% against Reka Flash 3 0.0%, 27.7 points apart on a 0 to 100 scale.
- Output price
- Llama 4 Scout $0.50 against Reka Flash 3 $0.20 per million output tokens, 2.5x apart.
- Context window
- Llama 4 Scout takes 1.31M tokens, Reka Flash 3 66K.
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 | Reka Flash 3 | Ties |
|---|---|---|---|---|
| Coding | 1 | 1 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| Math | 0 | 2 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 7 | 4 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index11
| Benchmark | Llama 4 Scout | Reka Flash 3 | Leader |
|---|---|---|---|
| SWE-bench Verified | 9.1% | Not measured | Only Llama 4 Scout measured |
| AA Coding Index | 8.2 | Not measured | Only Llama 4 Scout measured |
| LiveCodeBench (Vals AI) | 38.5% | Not measured | Only Llama 4 Scout measured |
| LiveCodeBench (Artificial Analysis run) | 29.9% | 43.5% | Reka Flash 3 |
| SciCode | 21.3% | Not measured | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 0.0% | Llama 4 Scout |
| LMArena Text: coding | 1286 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: software and IT | 1286 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 35 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Llama 4 Scout | Reka Flash 3 | Leader |
|---|---|---|---|
| AA Intelligence Index | 6.5 | 6.4 | Llama 4 Scout |
| Epoch Capabilities Index | 129.6 | Not measured | Only Llama 4 Scout measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Llama 4 Scout | Reka Flash 3 | Leader |
|---|---|---|---|
| AA Agentic Index | 0.5 | Not measured | Only Llama 4 Scout measured |
| τ²-Bench Telecom | 15.5% | 0.0% | Llama 4 Scout |
| BALROG | Not measured | 29.2% | Only Reka Flash 3 measured |
| Berkeley Function Calling Leaderboard (BFCL) | 28.1% | Not measured | 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 index11
| Benchmark | Llama 4 Scout | Reka Flash 3 | 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% | 52.9% | Llama 4 Scout |
| Humanity's Last Exam (Artificial Analysis run) | 3.8% | 4.4% | Reka Flash 3 |
| 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 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: expert | 1235 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: hard prompts in English | 1293 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: diagrams | 1125 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision: homework | 1148 | Not measured | Only Llama 4 Scout measured |
| Kagi LLM Benchmark | 36.9% | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 10 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Llama 4 Scout | Reka Flash 3 | 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 | 33.7 | Reka Flash 3 |
| AIME 2025 (Artificial Analysis run) | 14.0% | 33.7% | Reka Flash 3 |
| 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 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: mathematical work | 1286 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Llama 4 Scout | Reka Flash 3 | 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% | 66.9% | Llama 4 Scout |
| LMArena Text: science | 1278 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: medicine and healthcare | 1275 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: legal and government | 1285 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: business and finance | 1257 | Not measured | Only Llama 4 Scout measured |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Llama 4 Scout | Reka Flash 3 | Leader |
|---|---|---|---|
| Design Arena: websites | 750 | Not measured | Only Llama 4 Scout measured |
| Design Arena: UI components | 765 | Not measured | Only Llama 4 Scout measured |
| Design Arena: game dev | 772 | Not measured | Only Llama 4 Scout measured |
| Design Arena: data viz | 896 | Not measured | Only Llama 4 Scout measured |
| Design Arena: all code categories | 789 | Not measured | 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 index20
| Benchmark | Llama 4 Scout | Reka Flash 3 | 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% | 30.4% | Llama 4 Scout |
| Long context reasoning (AA-LCR) | 27.7% | 0.0% | Llama 4 Scout |
| 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 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: instruction following | 1248 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: creative writing | 1249 | Not measured | Only Llama 4 Scout measured |
| LMArena Vision | 1118 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: English | 1304 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: non-English | 1252 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Chinese | 1255 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: German | 1273 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Japanese | 1206 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Korean | 1207 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: French | 1283 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Spanish | 1278 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Russian | 1263 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: Polish | 1265 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: multi-turn | 1280 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: longer queries | 1265 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: writing and language | 1269 | Not measured | Only Llama 4 Scout measured |
| LMArena Text: entertainment and media | 1242 | Not measured | Only Llama 4 Scout measured |
| 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 18 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Llama 4 Scout | Reka Flash 3 | 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
Reka Flash 3 costs less
Repository review
50K input + 3K output tokens
Reka Flash 3 costs less
Agent loop
200K input + 10K output tokens
Reka Flash 3 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 | Reka Flash 3 |
|---|---|---|
| Maker | Meta Llama | Reka |
| Weights | Open weights | Open weights |
| Released | April 5, 2025 | March 12, 2025 |
| Context window | 1.31M | 66K |
| Input $/Mtok | $0.175 | $0.10 |
| Output $/Mtok | $0.50 | $0.20 |
| 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 Reka Flash 3 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Llama 4 Scout for a larger context window (1.31M against 66K tokens) and work measured by LiveCodeBench (Artificial Analysis run) or Humanity's Last Exam (Artificial Analysis run), where it leads.
Which is cheaper, Llama 4 Scout or Reka Flash 3?
Llama 4 Scout costs $0.175 per million input tokens and $0.50 per million output tokens; Reka Flash 3 costs $0.10 and $0.20. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Llama 4 Scout or Reka Flash 3?
Llama 4 Scout, with 1.31M tokens against 66K.
How many benchmarks is the Llama 4 Scout vs Reka Flash 3 comparison based on?
11 benchmarks have a result for both models as of October 22, 2026. Llama 4 Scout's coding index rests on 0 independent benchmarks and Reka Flash 3's on 0. Where only one model has a result, the page says so instead of naming a winner.