Gemma 4 31B vs Llama 4 Maverick
Gemma 4 31B leads Llama 4 Maverick on the Artificial Analysis Intelligence Index, 14.7 to 9.3, and Gemma 4 31B costs 2.5x less per output token ($0.40 vs $1.00 per million). Updated October 22, 2026; 51 benchmarks have a result for both.
Gemma 4 31B or Llama 4 Maverick: which to pick
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding.
Pick Llama 4 Maverick for a larger context window (524K against 262K tokens).
- Shared results
- 51
- Gemma 4 31B only
- 20
- Llama 4 Maverick only
- 34
- 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
Only Gemma 4 31B has a coding score, so no call is made.
One side not measured
Intelligence
AA Intelligence Index
Gemma 4 31B
Gemma 4 31B leads, 14.7 against 9.3.
Same board, both measured
Agentic work
AA Agentic Index
Gemma 4 31B
Gemma 4 31B leads, 4.2 against 0.6.
Same board, both measured
Reasoning
GPQA Diamond
No call
Only Llama 4 Maverick has a GPQA Diamond result, 69.4%.
Directional only
Math
AIME
No call
Only Llama 4 Maverick has a AIME result, 25.2%.
Directional only
Knowledge
MMLU Pro
No call
Only Llama 4 Maverick has a MMLU Pro result, 79.4%.
Directional only
Web design
Design Arena: websites
No call
Only Llama 4 Maverick has a Design Arena: websites result, 871.
Directional only
Long documents
Listed context window
Llama 4 Maverick
Llama 4 Maverick takes 524K tokens against 262K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 4 31B
Gemma 4 31B $0.0003, Llama 4 Maverick $0.0008 per turn.
List prices
Cost per solved task
One SWE-bench Verified task, solved
No call
Only Llama 4 Maverick has the number, $1.491.
Directional only
At a glance
- Coding index
- Gemma 4 31B 39.0 from 2 benchmarks, Llama 4 Maverick not benchmarked.
- Widest category
- Math, 27.8 points apart on average over 2 shared benchmarks.
- Widest single gap
- τ²-Bench Telecom: Gemma 4 31B 65.5% against Llama 4 Maverick 17.8%, 47.7 points apart on a 0 to 100 scale.
- Output price
- Gemma 4 31B $0.40 against Llama 4 Maverick $1.00 per million output tokens, 2.5x apart.
- Context window
- Gemma 4 31B takes 262K tokens, Llama 4 Maverick 524K.
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 31B | Bars | Llama 4 Maverick | Ties |
|---|---|---|---|---|
| Coding | 7 | 0 | ||
| Intelligence | 2 | 0 | ||
| Agentic work | 2 | 0 | ||
| Reasoning | 8 | 0 | ||
| Math | 2 | 0 | ||
| Knowledge | 5 | 0 | ||
| General | 25 | 0 | ||
| All shared boards | 51 | 0 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index70
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 15.6% | Only Llama 4 Maverick measured |
| SWE-bench Verified | Not measured | 21.0% | Only Llama 4 Maverick measured |
| LiveBench coding | 49.0% | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev | 1367 | Not measured | Only Gemma 4 31B measured |
| AA Coding Index | 43.4 | 16.3 | Gemma 4 31B |
| LiveCodeBench (Vals AI) | Not measured | 47.3% | Only Llama 4 Maverick measured |
| LiveCodeBench (Artificial Analysis run) | Not measured | 39.7% | Only Llama 4 Maverick measured |
| SciCode | 45.5% | 31.7% | Gemma 4 31B |
| Terminal-Bench Hard (Artificial Analysis run) | 36.4% | 6.8% | Gemma 4 31B |
| WeirdML | 52.3% | 24.5% | Gemma 4 31B |
| ALE-Bench | 925.5 | 173.0 | Gemma 4 31B |
| LMArena Text: coding | 1459 | 1301 | Gemma 4 31B |
| LMArena Text: software and IT | 1463 | 1299 | Gemma 4 31B |
| LMArena WebDev: React | 1359 | Not measured | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | 1380 | Not measured | Only Gemma 4 31B measured |
| SciCode | 8.9% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 23 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Intelligence Index | 14.7 | 9.3 | Gemma 4 31B |
| Epoch Capabilities Index | 143.0 | 132.2 | Gemma 4 31B |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| AA Agentic Index | 4.2 | 0.6 | Gemma 4 31B |
| LiveBench research | 44.4% | Not measured | Only Gemma 4 31B measured |
| LiveBench browser | 4.0% | Not measured | Only Gemma 4 31B measured |
| LiveBench long agentic | 13.3% | Not measured | Only Gemma 4 31B measured |
| τ²-Bench Telecom | 65.5% | 17.8% | Gemma 4 31B |
| Neither model has a result on the other 36 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 69.4% | Only Llama 4 Maverick measured |
| LiveBench reasoning | 68.3% | Not measured | Only Gemma 4 31B measured |
| MMMU Pro (Vals AI) | Not measured | 71.7% | Only Llama 4 Maverick measured |
| GPQA Diamond (Artificial Analysis run) | 85.7% | 67.1% | Gemma 4 31B |
| Humanity's Last Exam (Artificial Analysis run) | 23.6% | 4.9% | Gemma 4 31B |
| GPQA Diamond (Epoch AI run) | 75.8% | Not measured | Only Gemma 4 31B measured |
| ARC-AGI | Not measured | 4.4% | Only Llama 4 Maverick measured |
| ARC-AGI-2 | Not measured | 0.0% | Only Llama 4 Maverick measured |
| SimpleBench | Not measured | 27.7% | Only Llama 4 Maverick measured |
| LMArena Text: hard prompts | 1448 | 1281 | Gemma 4 31B |
| LMArena Text: expert | 1464 | 1259 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1456 | 1295 | Gemma 4 31B |
| LMArena Vision: diagrams | 1283 | 1134 | Gemma 4 31B |
| LMArena Vision: homework | 1310 | 1164 | Gemma 4 31B |
| Kagi LLM Benchmark | 63.5% | 55.9% | Gemma 4 31B |
| Neither model has a result on the other 7 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| AIME | Not measured | 25.2% | Only Llama 4 Maverick measured |
| MATH 500 (Vals AI) | Not measured | 85.2% | Only Llama 4 Maverick measured |
| MGSM (Vals AI) | Not measured | 92.4% | Only Llama 4 Maverick measured |
| AA Math Index | Not measured | 19.3 | Only Llama 4 Maverick measured |
| AIME 2025 (Artificial Analysis run) | Not measured | 19.3% | Only Llama 4 Maverick measured |
| OTIS Mock AIME | 73.3% | Not measured | Only Gemma 4 31B measured |
| LMArena Text: math | 1463 | 1299 | Gemma 4 31B |
| LMArena Text: mathematical work | 1465 | 1295 | Gemma 4 31B |
| Neither model has a result on the other 5 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index50
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.4% | Only Llama 4 Maverick measured |
| LegalBench (Vals AI) | Not measured | 77.8% | Only Llama 4 Maverick measured |
| CaseLaw (Vals AI) | 52.6% | Not measured | Only Gemma 4 31B measured |
| CorpFin (Vals AI) | Not measured | 49.7% | Only Llama 4 Maverick measured |
| TaxEval (Vals AI) | Not measured | 66.6% | Only Llama 4 Maverick measured |
| MortgageTax (Vals AI) | 61.4% | 58.5% | Gemma 4 31B |
| MedQA (Vals AI) | Not measured | 43.3% | Only Llama 4 Maverick measured |
| MedCode (Vals AI) | Not measured | 36.5% | Only Llama 4 Maverick measured |
| MMLU Pro (Artificial Analysis run) | Not measured | 80.9% | Only Llama 4 Maverick measured |
| SimpleQA Verified | 10.4% | Not measured | Only Gemma 4 31B measured |
| GeoBench | Not measured | 52.0% | Only Llama 4 Maverick measured |
| LMArena Text: science | 1457 | 1288 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1451 | 1275 | Gemma 4 31B |
| LMArena Text: legal and government | 1438 | 1286 | Gemma 4 31B |
| LMArena Text: business and finance | 1430 | 1260 | Gemma 4 31B |
| FACTS Benchmark Suite | 45.3% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 2 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 871 | Only Llama 4 Maverick measured |
| Design Arena: UI components | Not measured | 896 | Only Llama 4 Maverick measured |
| Design Arena: game dev | Not measured | 837 | Only Llama 4 Maverick measured |
| Design Arena: data viz | Not measured | 882 | Only Llama 4 Maverick measured |
| Design Arena: 3D | Not measured | 900 | Only Llama 4 Maverick measured |
| Design Arena: all code categories | Not measured | 879 | Only Llama 4 Maverick measured |
| LiveBench design | 58.4% | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index250
| Benchmark | Gemma 4 31B | Llama 4 Maverick | Leader |
|---|---|---|---|
| LiveBench data analysis | 53.3% | Not measured | Only Gemma 4 31B measured |
| SAGE (Vals AI) | 55.0% | 35.7% | Gemma 4 31B |
| MedScribe (Vals AI) | Not measured | 54.2% | Only Llama 4 Maverick measured |
| IFBench | 75.6% | 43.0% | Gemma 4 31B |
| Long context reasoning (AA-LCR) | 69.7% | 50.0% | Gemma 4 31B |
| DTBench | 82.7% | 61.9% | Gemma 4 31B |
| LMCA | 39.3% | 15.9% | Gemma 4 31B |
| Fiction.LiveBench | Not measured | 46.2% | Only Llama 4 Maverick measured |
| Creative writing (Lech Mazur) | Not measured | 62.0% | Only Llama 4 Maverick measured |
| Surface Evolver Bench | 30.6% | Not measured | Only Gemma 4 31B measured |
| LMArena Text | 1443 | 1287 | Gemma 4 31B |
| LMArena Text: instruction following | 1433 | 1267 | Gemma 4 31B |
| LMArena Text: creative writing | 1417 | 1266 | Gemma 4 31B |
| LMArena Vision | 1276 | 1142 | Gemma 4 31B |
| LMArena Text: English | 1451 | 1303 | Gemma 4 31B |
| LMArena Text: non-English | 1430 | 1269 | Gemma 4 31B |
| LMArena Text: Chinese | 1475 | 1277 | Gemma 4 31B |
| LMArena Text: German | Not measured | 1291 | Only Llama 4 Maverick measured |
| LMArena Text: Japanese | Not measured | 1206 | Only Llama 4 Maverick measured |
| LMArena Text: Korean | Not measured | 1203 | Only Llama 4 Maverick measured |
| LMArena Text: French | 1436 | 1259 | Gemma 4 31B |
| LMArena Text: Spanish | 1442 | 1293 | Gemma 4 31B |
| LMArena Text: Russian | 1460 | 1286 | Gemma 4 31B |
| LMArena Text: Polish | 1433 | 1275 | Gemma 4 31B |
| LMArena Text: multi-turn | 1452 | 1289 | Gemma 4 31B |
| LMArena Text: longer queries | 1446 | 1280 | Gemma 4 31B |
| LMArena Text: writing and language | 1432 | 1277 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1405 | 1250 | Gemma 4 31B |
| LMArena Vision: English | 1271 | 1150 | Gemma 4 31B |
| LMArena Vision: Chinese | 1326 | 1141 | Gemma 4 31B |
| LMArena Vision: reading text | 1282 | 1143 | Gemma 4 31B |
| LMArena Vision: humor | 1280 | 1100 | Gemma 4 31B |
| LMArena Vision: captioning | 1218 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | 1226 | Not measured | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | 1285 | 1099 | Gemma 4 31B |
| LMArena Document | 1425 | Not measured | Only Gemma 4 31B measured |
| Neither model has a result on the other 10 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Gemma 4 31B | Llama 4 Maverick | 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 31B costs less
Repository review
50K input + 3K output tokens
Gemma 4 31B costs less
Agent loop
200K input + 10K output tokens
Gemma 4 31B 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 31B | Meta Llama 4 Maverick |
|---|---|---|
| Maker | Meta Llama | |
| Weights | Open weights | Open weights |
| Released | April 2, 2026 | April 5, 2025 |
| Context window | 262K | 524K |
| Input $/Mtok | $0.14 | $0.35 |
| Output $/Mtok | $0.40 | $1.00 |
| Coding index | 39.0 | Not benchmarked |
| Independent measurements behind it | 2 | 0 |
| Cost per solved task | Not computable | $1.491 |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Gemma 4 31B better than Llama 4 Maverick for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Llama 4 Maverick has none, so the two cannot be ranked on coding. Pick Llama 4 Maverick for a larger context window (524K against 262K tokens).
Which is cheaper, Gemma 4 31B or Llama 4 Maverick?
Gemma 4 31B costs $0.14 per million input tokens and $0.40 per million output tokens; Llama 4 Maverick costs $0.35 and $1.00. Cost per solved task is known for Llama 4 Maverick only.
Which has the bigger context window, Gemma 4 31B or Llama 4 Maverick?
Llama 4 Maverick, with 524K tokens against 262K.
How many benchmarks is the Gemma 4 31B vs Llama 4 Maverick comparison based on?
51 benchmarks have a result for both models as of October 22, 2026. Gemma 4 31B's coding index rests on 2 independent benchmarks and Llama 4 Maverick's on 0. Where only one model has a result, the page says so instead of naming a winner.