Nova Micro 1.0 vs Gemma 4 31B
Updated October 21, 2026. 31 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.
Decision reading
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Nova Micro 1.0 has none, so the two cannot be ranked on coding.
Nova Micro 1.0 has the edge where output tokens cost 2.9x less.
- Shared results
- 31
- Nova Micro 1.0 only
- 8
- Gemma 4 31B only
- 37
- 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, 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 5.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only Gemma 4 31B has a AA Agentic Index result, 4.2.
Directional only
Long documents
Listed context window
Gemma 4 31B
Gemma 4 31B takes 262K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, Gemma 4 31B $0.0003 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, Gemma 4 31B 39.0 from 2 benchmarks.
- Widest category
- Agentic work, 51.5 points apart on average over 1 shared benchmark.
- Widest single gap
- Long context reasoning (AA-LCR): Nova Micro 1.0 13.0% against Gemma 4 31B 69.7%, 56.7 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against Gemma 4 31B $0.40 per million output tokens, 2.9x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, Gemma 4 31B 262K.
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 | Nova Micro 1.0 | Bars | Gemma 4 31B | Ties |
|---|---|---|---|---|
| Coding | 0 | 3 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 4 | ||
| General | 0 | 15 | ||
| All shared boards | 0 | 31 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index03
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench coding | Not measured | 49.0% | Only Gemma 4 31B measured |
| LMArena WebDev | Not measured | 1367 | Only Gemma 4 31B measured |
| AA Coding Index | Not measured | 43.4 | Only Gemma 4 31B measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | Not measured | Only Nova Micro 1.0 measured |
| SciCode | Not measured | 45.5% | Only Gemma 4 31B measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 36.4% | Gemma 4 31B |
| WeirdML | Not measured | 52.3% | Only Gemma 4 31B measured |
| ALE-Bench | Not measured | 925.5 | Only Gemma 4 31B measured |
| LMArena Text: coding | 1218 | 1459 | Gemma 4 31B |
| LMArena Text: software and IT | 1215 | 1463 | Gemma 4 31B |
| LMArena WebDev: React | Not measured | 1359 | Only Gemma 4 31B measured |
| LMArena WebDev: HTML | Not measured | 1380 | Only Gemma 4 31B measured |
| Neither model has a result on the other 26 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 14.7 | Gemma 4 31B |
| Epoch Capabilities Index | Not measured | 143.0 | Only Gemma 4 31B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 4.2 | Only Gemma 4 31B measured |
| LiveBench research | Not measured | 44.4% | Only Gemma 4 31B measured |
| LiveBench browser | Not measured | 4.0% | Only Gemma 4 31B measured |
| LiveBench long agentic | Not measured | 13.3% | Only Gemma 4 31B measured |
| τ²-Bench Telecom | 14.0% | 65.5% | Gemma 4 31B |
| Neither model has a result on the other 34 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench reasoning | Not measured | 68.3% | Only Gemma 4 31B measured |
| GPQA Diamond (Artificial Analysis run) | 35.8% | 85.7% | Gemma 4 31B |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 23.6% | Gemma 4 31B |
| GPQA Diamond (Epoch AI run) | Not measured | 75.8% | Only Gemma 4 31B measured |
| LMArena Text: hard prompts | 1191 | 1448 | Gemma 4 31B |
| LMArena Text: expert | 1183 | 1464 | Gemma 4 31B |
| LMArena Text: hard prompts in English | 1203 | 1456 | Gemma 4 31B |
| LMArena Vision: diagrams | Not measured | 1283 | Only Gemma 4 31B measured |
| LMArena Vision: homework | Not measured | 1310 | Only Gemma 4 31B measured |
| Neither model has a result on the other 12 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | Not measured | Only Nova Micro 1.0 measured |
| AIME 2025 (Artificial Analysis run) | 6.0% | Not measured | Only Nova Micro 1.0 measured |
| OTIS Mock AIME | Not measured | 73.3% | Only Gemma 4 31B measured |
| LMArena Text: math | 1206 | 1463 | Gemma 4 31B |
| LMArena Text: mathematical work | 1212 | 1465 | Gemma 4 31B |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| CaseLaw (Vals AI) | Not measured | 52.6% | Only Gemma 4 31B measured |
| MortgageTax (Vals AI) | Not measured | 61.4% | Only Gemma 4 31B measured |
| MMLU Pro (Artificial Analysis run) | 53.1% | Not measured | Only Nova Micro 1.0 measured |
| SimpleQA Verified | Not measured | 10.4% | Only Gemma 4 31B measured |
| MMLU | 70.8% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: science | 1210 | 1457 | Gemma 4 31B |
| LMArena Text: medicine and healthcare | 1207 | 1451 | Gemma 4 31B |
| LMArena Text: legal and government | 1221 | 1438 | Gemma 4 31B |
| LMArena Text: business and finance | 1182 | 1430 | Gemma 4 31B |
| Neither model has a result on the other 8 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench design | Not measured | 58.4% | Only Gemma 4 31B measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index015
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | Leader |
|---|---|---|---|
| LiveBench data analysis | Not measured | 53.3% | Only Gemma 4 31B measured |
| SAGE (Vals AI) | Not measured | 55.0% | Only Gemma 4 31B measured |
| IFBench | 29.4% | 75.6% | Gemma 4 31B |
| Long context reasoning (AA-LCR) | 13.0% | 69.7% | Gemma 4 31B |
| DTBench | Not measured | 82.7% | Only Gemma 4 31B measured |
| LMCA | Not measured | 39.3% | Only Gemma 4 31B measured |
| Surface Evolver Bench | Not measured | 30.6% | Only Gemma 4 31B measured |
| LMArena Text | 1208 | 1443 | Gemma 4 31B |
| LMArena Text: instruction following | 1174 | 1433 | Gemma 4 31B |
| LMArena Text: creative writing | 1172 | 1417 | Gemma 4 31B |
| LMArena Vision | Not measured | 1276 | Only Gemma 4 31B measured |
| LMArena Text: English | 1224 | 1451 | Gemma 4 31B |
| LMArena Text: non-English | 1186 | 1430 | Gemma 4 31B |
| LMArena Text: Chinese | 1209 | 1475 | Gemma 4 31B |
| LMArena Text: German | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Japanese | 1154 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Korean | 1150 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: French | 1238 | 1436 | Gemma 4 31B |
| LMArena Text: Spanish | 1225 | 1442 | Gemma 4 31B |
| LMArena Text: Russian | 1185 | 1460 | Gemma 4 31B |
| LMArena Text: Polish | Not measured | 1433 | Only Gemma 4 31B measured |
| LMArena Text: multi-turn | 1178 | 1452 | Gemma 4 31B |
| LMArena Text: longer queries | 1205 | 1446 | Gemma 4 31B |
| LMArena Text: writing and language | 1192 | 1432 | Gemma 4 31B |
| LMArena Text: entertainment and media | 1163 | 1405 | Gemma 4 31B |
| LMArena Vision: English | Not measured | 1271 | Only Gemma 4 31B measured |
| LMArena Vision: Chinese | Not measured | 1326 | Only Gemma 4 31B measured |
| LMArena Vision: reading text | Not measured | 1282 | Only Gemma 4 31B measured |
| LMArena Vision: humor | Not measured | 1280 | Only Gemma 4 31B measured |
| LMArena Vision: captioning | Not measured | 1218 | Only Gemma 4 31B measured |
| LMArena Vision: recognizing things | Not measured | 1226 | Only Gemma 4 31B measured |
| LMArena Vision: creative writing | Not measured | 1285 | Only Gemma 4 31B measured |
| LMArena Document | Not measured | 1425 | Only Gemma 4 31B measured |
| Neither model has a result on the other 13 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | Gemma 4 31B | 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
Nova Micro 1.0 costs less
Repository review
50K input + 3K output tokens
Nova Micro 1.0 costs less
Agent loop
200K input + 10K output tokens
Nova Micro 1.0 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 | Amazon Nova Micro 1.0 | Google Gemma 4 31B |
|---|---|---|
| Maker | Amazon | |
| Weights | No public weights listed | Open weights |
| Released | December 5, 2024 | April 2, 2026 |
| Context window | 128K | 262K |
| Input $/Mtok | $0.035 | $0.14 |
| Output $/Mtok | $0.14 | $0.40 |
| Coding index | Not benchmarked | 39.0 |
| Independent measurements behind it | 0 | 2 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Micro 1.0 better than Gemma 4 31B for coding?
Only Gemma 4 31B has a coding score, 39.0 on the Vibe Coding Index; Nova Micro 1.0 has none, so the two cannot be ranked on coding. Nova Micro 1.0 has the edge where output tokens cost 2.9x less.
Which is cheaper, Nova Micro 1.0 or Gemma 4 31B?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; Gemma 4 31B costs $0.14 and $0.40. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or Gemma 4 31B?
Gemma 4 31B, with 262K tokens against 128K.
How many benchmarks is the Nova Micro 1.0 vs Gemma 4 31B comparison based on?
31 benchmarks have a result for both models as of October 21, 2026. Nova Micro 1.0's coding index rests on 0 independent benchmarks and Gemma 4 31B's on 2. Where only one model has a result, the page says so instead of naming a winner.