Gemini 2.5 Flash Lite vs Llama 4 Scout
Gemini 2.5 Flash Lite leads Llama 4 Scout on the Artificial Analysis Intelligence Index, 10.4 to 6.5, and Gemini 2.5 Flash Lite costs 1.3x less per output token ($0.40 vs $0.50 per million). Updated October 21, 2026; 30 benchmarks have a result for both.
Gemini 2.5 Flash Lite or Llama 4 Scout: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Gemini 2.5 Flash Lite for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and work measured by MortgageTax (Vals AI) or SAGE (Vals AI), where it leads.
- Shared results
- 30
- Gemini 2.5 Flash Lite only
- 0
- Llama 4 Scout only
- 52
- 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
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 10.4 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
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 70.2% against 47.0%.
Same board, both measured
Math
AIME
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 42.1% against 19.0%.
Same board, both measured
Knowledge
MMLU Pro
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite leads, 79.1% 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 1.05M.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemini 2.5 Flash Lite
Gemini 2.5 Flash Lite $0.0003, 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
- Gemini 2.5 Flash Lite not benchmarked, Llama 4 Scout not benchmarked.
- Widest category
- Math, 25.8 points apart on average over 4 shared benchmarks.
- Widest single gap
- AIME 2025 (Artificial Analysis run): Gemini 2.5 Flash Lite 53.3% against Llama 4 Scout 14.0%, 39.3 points apart on a 0 to 100 scale.
- Output price
- Gemini 2.5 Flash Lite $0.40 against Llama 4 Scout $0.50 per million output tokens, 1.3x apart.
- Context window
- Gemini 2.5 Flash Lite takes 1.05M 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 | Gemini 2.5 Flash Lite | Bars | Llama 4 Scout | Ties |
|---|---|---|---|---|
| Coding | 3 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 5 | 0 | ||
| Math | 4 | 0 | ||
| Knowledge | 7 | 1 | ||
| General | 5 | 1 | ||
| All shared boards | 28 | 2 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 9.1% | Only Llama 4 Scout measured |
| AA Coding Index | Not measured | 8.2 | Only Llama 4 Scout measured |
| LiveCodeBench (Vals AI) | 71.4% | 38.5% | Gemini 2.5 Flash Lite |
| LiveCodeBench (Artificial Analysis run) | 59.3% | 29.9% | Gemini 2.5 Flash Lite |
| SciCode | Not measured | 21.3% | Only Llama 4 Scout measured |
| Terminal-Bench Hard (Artificial Analysis run) | 4.5% | 1.5% | Gemini 2.5 Flash Lite |
| LMArena Text: coding | Not measured | 1286 | Only Llama 4 Scout measured |
| LMArena Text: software and IT | Not measured | 1286 | Only Llama 4 Scout measured |
| Neither model has a result on the other 31 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Intelligence Index | 10.4 | 6.5 | Gemini 2.5 Flash Lite |
| Epoch Capabilities Index | 133.8 | 129.6 | Gemini 2.5 Flash Lite |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.5 | Only Llama 4 Scout measured |
| τ²-Bench Telecom | 19.0% | 15.5% | Gemini 2.5 Flash Lite |
| Berkeley Function Calling Leaderboard (BFCL) | 36.9% | 28.1% | Gemini 2.5 Flash Lite |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| GPQA Diamond | 70.2% | 47.0% | Gemini 2.5 Flash Lite |
| MMMU Pro (Vals AI) | 75.4% | 58.8% | Gemini 2.5 Flash Lite |
| GPQA Diamond (Artificial Analysis run) | 62.5% | 58.7% | Gemini 2.5 Flash Lite |
| Humanity's Last Exam (Artificial Analysis run) | 6.8% | 3.8% | Gemini 2.5 Flash Lite |
| 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 | Not measured | 0.0% | Only Llama 4 Scout measured |
| 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 | 40.5% | 36.9% | Gemini 2.5 Flash Lite |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| AIME | 42.1% | 19.0% | Gemini 2.5 Flash Lite |
| MATH 500 (Vals AI) | Not measured | 79.2% | Only Llama 4 Scout measured |
| MGSM (Vals AI) | 89.5% | 88.0% | Gemini 2.5 Flash Lite |
| AA Math Index | 53.3 | 14.0 | Gemini 2.5 Flash Lite |
| AIME 2025 (Artificial Analysis run) | 53.3% | 14.0% | Gemini 2.5 Flash Lite |
| OTIS Mock AIME | Not measured | 7.8% | Only Llama 4 Scout measured |
| MATH level 5 | Not measured | 62.3% | Only Llama 4 Scout 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 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU Pro | 79.1% | 69.6% | Gemini 2.5 Flash Lite |
| LegalBench (Vals AI) | 82.0% | 72.0% | Gemini 2.5 Flash Lite |
| CorpFin (Vals AI) | 57.6% | 46.8% | Gemini 2.5 Flash Lite |
| TaxEval (Vals AI) | 66.2% | 55.2% | Gemini 2.5 Flash Lite |
| MortgageTax (Vals AI) | 57.6% | 57.8% | Llama 4 Scout |
| MedQA (Vals AI) | 88.9% | 50.9% | Gemini 2.5 Flash Lite |
| MedCode (Vals AI) | 34.2% | 23.3% | Gemini 2.5 Flash Lite |
| MMLU Pro (Artificial Analysis run) | 75.9% | 75.2% | Gemini 2.5 Flash Lite |
| 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 6 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index5 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | 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 index51
| Benchmark | Gemini 2.5 Flash Lite | Llama 4 Scout | Leader |
|---|---|---|---|
| SAGE (Vals AI) | 30.8% | 34.8% | Llama 4 Scout |
| MedScribe (Vals AI) | 75.8% | 50.6% | Gemini 2.5 Flash Lite |
| IFBench | 49.9% | 39.5% | Gemini 2.5 Flash Lite |
| Long context reasoning (AA-LCR) | 55.7% | 27.7% | Gemini 2.5 Flash Lite |
| DTBench | 62.8% | 57.9% | Gemini 2.5 Flash Lite |
| LMCA | 18.1% | 12.0% | Gemini 2.5 Flash Lite |
| Fiction.LiveBench | Not measured | 36.0% | Only Llama 4 Scout 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 16 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemini 2.5 Flash Lite | 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
Gemini 2.5 Flash Lite costs less
Repository review
50K input + 3K output tokens
Gemini 2.5 Flash Lite costs less
Agent loop
200K input + 10K output tokens
Gemini 2.5 Flash Lite 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 | Google Gemini 2.5 Flash Lite | Meta Llama 4 Scout |
|---|---|---|
| Maker | Meta Llama | |
| Weights | No public weights listed | Open weights |
| Released | July 22, 2025 | April 5, 2025 |
| Context window | 1.05M | 1.31M |
| Input $/Mtok | $0.10 | $0.175 |
| Output $/Mtok | $0.40 | $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 Gemini 2.5 Flash Lite better than Llama 4 Scout for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Gemini 2.5 Flash Lite for output tokens 1.3x cheaper ($0.40 vs $0.50 per million) and work measured by MortgageTax (Vals AI) or SAGE (Vals AI), where it leads.
Which is cheaper, Gemini 2.5 Flash Lite or Llama 4 Scout?
Gemini 2.5 Flash Lite costs $0.10 per million input tokens and $0.40 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, Gemini 2.5 Flash Lite or Llama 4 Scout?
Llama 4 Scout, with 1.31M tokens against 1.05M.
How many benchmarks is the Gemini 2.5 Flash Lite vs Llama 4 Scout comparison based on?
30 benchmarks have a result for both models as of October 21, 2026. Gemini 2.5 Flash Lite'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.