Nova Premier 1.0 vs Gemma 3 4B
Nova Premier 1.0 leads Gemma 3 4B on the Artificial Analysis Intelligence Index, 9.2 to 4.8, and Gemma 3 4B costs 166.7x less per output token ($0.075 vs $12.50 per million). Updated October 21, 2026; 11 benchmarks have a result for both.
Nova Premier 1.0 or Gemma 3 4B: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.
- Shared results
- 11
- Nova Premier 1.0 only
- 2
- Gemma 3 4B only
- 28
- 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
Nova Premier 1.0
Nova Premier 1.0 leads, 9.2 against 4.8.
Same board, both measured
Web design
Design Arena: websites
No call
Only Nova Premier 1.0 has a Design Arena: websites result, 835.
Directional only
Long documents
Listed context window
Nova Premier 1.0
Nova Premier 1.0 takes 1M tokens against 131K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Gemma 3 4B
Nova Premier 1.0 $0.0088, Gemma 3 4B $0.0001 per turn.
List prices
At a glance
- Coding index
- Nova Premier 1.0 not benchmarked, Gemma 3 4B not benchmarked.
- Widest category
- Agentic work, 33.3 points apart on average over 1 shared benchmark.
- Widest single gap
- τ²-Bench Telecom: Nova Premier 1.0 38.3% against Gemma 3 4B 5.0%, 33.3 points apart on a 0 to 100 scale.
- Output price
- Nova Premier 1.0 $12.50 against Gemma 3 4B $0.075 per million output tokens, 166.7x apart.
- Context window
- Nova Premier 1.0 takes 1M tokens, Gemma 3 4B 131K.
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 Premier 1.0 | Bars | Gemma 3 4B | Ties |
|---|---|---|---|---|
| Coding | 2 | 0 | ||
| Intelligence | 1 | 0 | ||
| Agentic work | 1 | 0 | ||
| Reasoning | 1 | 1 | ||
| Math | 2 | 0 | ||
| Knowledge | 1 | 0 | ||
| General | 2 | 0 | ||
| All shared boards | 10 | 1 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Coding Index | Not measured | 2.7 | Only Gemma 3 4B measured |
| LiveCodeBench (Artificial Analysis run) | 31.7% | 11.2% | Nova Premier 1.0 |
| Terminal-Bench Hard (Artificial Analysis run) | 6.8% | 0.8% | Nova Premier 1.0 |
| ALE-Bench | 147.4 | Not measured | Only Nova Premier 1.0 measured |
| LMArena Text: coding | Not measured | 1230 | Only Gemma 3 4B measured |
| LMArena Text: software and IT | Not measured | 1269 | Only Gemma 3 4B measured |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Intelligence Index | 9.2 | 4.8 | Nova Premier 1.0 |
| Epoch Capabilities Index | Not measured | 115.9 | Only Gemma 3 4B measured |
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 38.3% | 5.0% | Nova Premier 1.0 |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index11
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 56.9% | 29.1% | Nova Premier 1.0 |
| Humanity's Last Exam (Artificial Analysis run) | 4.2% | 5.3% | Gemma 3 4B |
| GPQA Diamond (Epoch AI run) | Not measured | 23.2% | Only Gemma 3 4B measured |
| LMArena Text: hard prompts | Not measured | 1253 | Only Gemma 3 4B measured |
| LMArena Text: expert | Not measured | 1223 | Only Gemma 3 4B measured |
| LMArena Text: hard prompts in English | Not measured | 1253 | Only Gemma 3 4B measured |
| Neither model has a result on the other 15 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| AA Math Index | 17.3 | 12.7 | Nova Premier 1.0 |
| AIME 2025 (Artificial Analysis run) | 17.3% | 12.7% | Nova Premier 1.0 |
| OTIS Mock AIME | Not measured | 7.5% | Only Gemma 3 4B measured |
| LMArena Text: math | Not measured | 1239 | Only Gemma 3 4B measured |
| LMArena Text: mathematical work | Not measured | 1256 | Only Gemma 3 4B measured |
| Neither model has a result on the other 8 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index10
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 73.3% | 41.7% | Nova Premier 1.0 |
| LMArena Text: science | Not measured | 1306 | Only Gemma 3 4B measured |
| LMArena Text: medicine and healthcare | Not measured | 1342 | Only Gemma 3 4B measured |
| LMArena Text: legal and government | Not measured | 1327 | Only Gemma 3 4B measured |
| LMArena Text: business and finance | Not measured | 1311 | Only Gemma 3 4B measured |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index1 board, none shared
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| Design Arena: websites | 835 | Not measured | Only Nova Premier 1.0 measured |
| Neither model has a result on the other 8 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index20
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | Leader |
|---|---|---|---|
| IFBench | 36.2% | 28.3% | Nova Premier 1.0 |
| Long context reasoning (AA-LCR) | 34.3% | 6.7% | Nova Premier 1.0 |
| DTBench | Not measured | 50.9% | Only Gemma 3 4B measured |
| LMCA | Not measured | 2.8% | Only Gemma 3 4B measured |
| LMArena Text | Not measured | 1291 | Only Gemma 3 4B measured |
| LMArena Text: instruction following | Not measured | 1239 | Only Gemma 3 4B measured |
| LMArena Text: creative writing | Not measured | 1270 | Only Gemma 3 4B measured |
| LMArena Text: English | Not measured | 1300 | Only Gemma 3 4B measured |
| LMArena Text: non-English | Not measured | 1273 | Only Gemma 3 4B measured |
| LMArena Text: German | Not measured | 1281 | Only Gemma 3 4B measured |
| LMArena Text: Russian | Not measured | 1294 | Only Gemma 3 4B measured |
| LMArena Text: multi-turn | Not measured | 1255 | Only Gemma 3 4B measured |
| LMArena Text: longer queries | Not measured | 1273 | Only Gemma 3 4B measured |
| LMArena Text: writing and language | Not measured | 1288 | Only Gemma 3 4B measured |
| LMArena Text: entertainment and media | Not measured | 1233 | Only Gemma 3 4B measured |
| Neither model has a result on the other 31 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Premier 1.0 | Gemma 3 4B | 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 3 4B costs less
Repository review
50K input + 3K output tokens
Gemma 3 4B costs less
Agent loop
200K input + 10K output tokens
Gemma 3 4B 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 Premier 1.0 | Google Gemma 3 4B |
|---|---|---|
| Maker | Amazon | |
| Weights | No public weights listed | Open weights |
| Released | October 31, 2025 | March 13, 2025 |
| Context window | 1M | 131K |
| Input $/Mtok | $2.50 | $0.045 |
| Output $/Mtok | $12.50 | $0.075 |
| Coding index | Not benchmarked | Not benchmarked |
| Independent measurements behind it | 0 | 0 |
| Cost per solved task | Not computable | Not computable |
| Source | OpenRouter listing | OpenRouter listing |
Questions
Is Nova Premier 1.0 better than Gemma 3 4B for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Premier 1.0 for a larger context window (1M against 131K tokens) and work measured by Humanity's Last Exam (Artificial Analysis run), where it leads.
Which is cheaper, Nova Premier 1.0 or Gemma 3 4B?
Nova Premier 1.0 costs $2.50 per million input tokens and $12.50 per million output tokens; Gemma 3 4B costs $0.045 and $0.075. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Premier 1.0 or Gemma 3 4B?
Nova Premier 1.0, with 1M tokens against 131K.
How many benchmarks is the Nova Premier 1.0 vs Gemma 3 4B comparison based on?
11 benchmarks have a result for both models as of October 21, 2026. Nova Premier 1.0's coding index rests on 0 independent benchmarks and Gemma 3 4B's on 0. Where only one model has a result, the page says so instead of naming a winner.