Gemma 4 26B A4B vs Llama 4 Scout
Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Pick Gemma 4 26B A4B for coding: it scores 22.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout.
Pick Llama 4 Scout when the context window is larger, 1.31M against 262K tokens.
- Shared results
- 47
- Gemma 4 26B A4B only
- 7
- Llama 4 Scout only
- 33
- 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
Gemma 4 26B A4B
Gemma 4 26B A4B scores 22.8 against 9.1.
One benchmark behind each score
Intelligence
AA Intelligence Index
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 16.7 against 6.5.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 26B A4B
Gemma 4 26B A4B leads, 2.9 against 0.5.
Same board, both measured
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 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 26B A4B
Gemma 4 26B A4B $0.0002, Llama 4 Scout $0.0003 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
- Gemma 4 26B A4B 22.8 from 1 benchmark, Llama 4 Scout 9.1 from 1 benchmark.
- Widest category
- Math, 45.5 points apart on average over 3 shared benchmarks.
- Widest single gap
- OTIS Mock AIME: Gemma 4 26B A4B 82.2% against Llama 4 Scout 7.8%, 74.4 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 26B A4B $0.255 against Llama 4 Scout $0.30 per million output tokens, 1.2x apart.
- Context window
- Gemma 4 26B A4B takes 262K 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 | Gemma 4 26B A4B | Bars | Llama 4 Scout | Ties |
|---|---|---|---|---|
| Coding | 5 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 3 | 0 | ||
| Knowledge | 4 | 0 | ||
| General | 23 | 0 | ||
| All shared boards | 47 | 0 |
CodingLike-for-likeFour of these boards feed the Vibe Coding Index50
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 9.1% | Only Llama 4 Scout measured |
| LMArena WebDev | 1360 | Not measured | Only Gemma 4 26B A4B measured |
| AA Coding Index | 39.3 | 8.2 | Gemma 4 26B A4B |
| LiveCodeBench (Vals AI) | Not measured | 38.5% | Only Llama 4 Scout measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 29.9% | Only Llama 4 Scout measured |
| SciCode | 40.0% | 21.3% | Gemma 4 26B A4B |
| Terminal-Bench Hard (Artificial Analysis run) | 25.0% | 1.5% | Gemma 4 26B A4B |
| WeirdML | 35.2% | Not measured | Only Gemma 4 26B A4B measured |
| ALE-Bench | 927.2 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Text: coding | 1446 | 1286 | Gemma 4 26B A4B |
| LMArena Text: software and IT | 1454 | 1286 | Gemma 4 26B A4B |
| LMArena WebDev: React | 1351 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena WebDev: HTML | 1362 | Not measured | Only Gemma 4 26B A4B measured |
| Neither model has a result on the other 25 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Intelligence Index | 16.7 | 6.5 | Gemma 4 26B A4B |
| Epoch Capabilities Index | 141.9 | 129.6 | Gemma 4 26B A4B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| AA Agentic Index | 2.9 | 0.5 | Gemma 4 26B A4B |
| τ²-Bench Telecom | 43.6% | 15.5% | Gemma 4 26B A4B |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 47.0% | Only Llama 4 Scout measured |
| MMMU Pro (Vals AI) | Not measured | 58.8% | Only Llama 4 Scout measured |
| GPQA Diamond (Artificial Analysis run) | 79.2% | 58.7% | Gemma 4 26B A4B |
| Humanity's Last Exam (Artificial Analysis run) | 19.3% | 3.8% | Gemma 4 26B A4B |
| GPQA Diamond (Epoch AI run) | 73.2% | 51.8% | Gemma 4 26B A4B |
| 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 | 1438 | 1266 | Gemma 4 26B A4B |
| LMArena Text: expert | 1447 | 1235 | Gemma 4 26B A4B |
| LMArena Text: hard prompts in English | 1448 | 1293 | Gemma 4 26B A4B |
| LMArena Vision: diagrams | 1264 | 1125 | Gemma 4 26B A4B |
| LMArena Vision: homework | 1293 | 1148 | Gemma 4 26B A4B |
| Neither model has a result on the other 9 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index30
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| AIME | Not measured | 19.0% | Only Llama 4 Scout measured |
| 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 | 82.2% | 7.8% | Gemma 4 26B A4B |
| MATH level 5 | Not measured | 62.3% | Only Llama 4 Scout measured |
| LMArena Text: math | 1470 | 1287 | Gemma 4 26B A4B |
| LMArena Text: mathematical work | 1475 | 1286 | Gemma 4 26B A4B |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
| Benchmark | Gemma 4 26B A4B | Llama 4 Scout | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 69.6% | Only Llama 4 Scout measured |
| LegalBench (Vals AI) | Not measured | 72.0% | Only Llama 4 Scout measured |
| CorpFin (Vals AI) | Not measured | 46.8% | Only Llama 4 Scout measured |
| TaxEval (Vals AI) | Not measured | 55.2% | Only Llama 4 Scout measured |
| MortgageTax (Vals AI) | Not measured | 57.8% | Only Llama 4 Scout measured |
| MedQA (Vals AI) | Not measured | 50.9% | Only Llama 4 Scout measured |
| MedCode (Vals AI) | Not measured | 23.3% | Only Llama 4 Scout measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 75.2% | Only Llama 4 Scout measured |
| LMArena Text: science | 1446 | 1278 | Gemma 4 26B A4B |
| LMArena Text: medicine and healthcare | 1428 | 1275 | Gemma 4 26B A4B |
| LMArena Text: legal and government | 1457 | 1285 | Gemma 4 26B A4B |
| LMArena Text: business and finance | 1429 | 1257 | Gemma 4 26B A4B |
| 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 | Gemma 4 26B A4B | 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 index230
| Benchmark | Gemma 4 26B A4B | 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 | 72.4% | 39.5% | Gemma 4 26B A4B |
| Long context reasoning (AA-LCR) | 65.7% | 27.7% | Gemma 4 26B A4B |
| DTBench | 74.9% | 57.9% | Gemma 4 26B A4B |
| LMCA | 29.7% | 12.0% | Gemma 4 26B A4B |
| Fiction.LiveBench | Not measured | 36.0% | Only Llama 4 Scout measured |
| LMArena Text | 1434 | 1279 | Gemma 4 26B A4B |
| LMArena Text: instruction following | 1420 | 1248 | Gemma 4 26B A4B |
| LMArena Text: creative writing | 1400 | 1249 | Gemma 4 26B A4B |
| LMArena Vision | 1260 | 1118 | Gemma 4 26B A4B |
| LMArena Text: English | 1444 | 1304 | Gemma 4 26B A4B |
| LMArena Text: non-English | 1421 | 1252 | Gemma 4 26B A4B |
| LMArena Text: Chinese | 1495 | 1255 | Gemma 4 26B A4B |
| 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 | 1460 | 1283 | Gemma 4 26B A4B |
| LMArena Text: Spanish | 1415 | 1278 | Gemma 4 26B A4B |
| LMArena Text: Russian | 1434 | 1263 | Gemma 4 26B A4B |
| LMArena Text: Polish | Not measured | 1265 | Only Llama 4 Scout measured |
| LMArena Text: multi-turn | 1441 | 1280 | Gemma 4 26B A4B |
| LMArena Text: longer queries | 1427 | 1265 | Gemma 4 26B A4B |
| LMArena Text: writing and language | 1405 | 1269 | Gemma 4 26B A4B |
| LMArena Text: entertainment and media | 1403 | 1242 | Gemma 4 26B A4B |
| LMArena Vision: English | 1256 | 1143 | Gemma 4 26B A4B |
| LMArena Vision: Chinese | 1312 | 1106 | Gemma 4 26B A4B |
| LMArena Vision: reading text | 1268 | 1117 | Gemma 4 26B A4B |
| LMArena Vision: humor | 1272 | 1102 | Gemma 4 26B A4B |
| LMArena Vision: captioning | 1297 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: recognizing things | 1191 | Not measured | Only Gemma 4 26B A4B measured |
| LMArena Vision: creative writing | 1256 | 1126 | Gemma 4 26B A4B |
| Neither model has a result on the other 14 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 26B A4B | 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
Gemma 4 26B A4B costs less
Repository review
50K input + 3K output tokens
Gemma 4 26B A4B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 26B A4B 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 Gemma 4 26B A4B | Meta Llama 4 Scout |
|---|---|---|
| Maker | Meta Llama | |
| Weights | Open weights | Open weights |
| Released | April 3, 2026 | April 5, 2025 |
| Context window | 262K | 1.31M |
| Input $/Mtok | $0.0765 | $0.10 |
| Output $/Mtok | $0.255 | $0.30 |
| Coding index | 22.8 | 9.1 |
| Independent measurements behind it | 1 | 1 |
| Cost per solved task | Not computable | $1.276 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 26B A4B better than Llama 4 Scout for coding?
Pick Gemma 4 26B A4B for coding: it scores 22.8 on the Vibe Coding Index against 9.1 for Llama 4 Scout. Pick Llama 4 Scout when the context window is larger, 1.31M against 262K tokens.
Which is cheaper, Gemma 4 26B A4B or Llama 4 Scout?
Gemma 4 26B A4B costs $0.0765 per million input tokens and $0.255 per million output tokens; Llama 4 Scout costs $0.10 and $0.30. Cost per solved task is known for Llama 4 Scout only.
Which has the bigger context window, Gemma 4 26B A4B or Llama 4 Scout?
Llama 4 Scout, with 1.31M tokens against 262K.
How many benchmarks is the Gemma 4 26B A4B vs Llama 4 Scout comparison based on?
47 benchmarks have a result for both models as of October 21, 2026. Gemma 4 26B A4B'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.