Nova Micro 1.0 vs R1 0528
R1 0528 leads Nova Micro 1.0 on the Artificial Analysis Intelligence Index, 13.1 to 5.9, and Nova Micro 1.0 costs 15.6x less per output token ($0.14 vs $2.18 per million). Updated October 21, 2026; 38 benchmarks have a result for both.
Nova Micro 1.0 or R1 0528: which to pick
Neither model has a coding score yet, so the two cannot be ranked on coding.
Pick Nova Micro 1.0 for output tokens 15.6x cheaper ($0.14 vs $2.18 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 38
- Nova Micro 1.0 only
- 1
- R1 0528 only
- 22
- 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
R1 0528
R1 0528 leads, 13.1 against 5.9.
Same board, both measured
Web design
Design Arena: websites
No call
Only R1 0528 has a Design Arena: websites result, 1149.
Directional only
Long documents
Listed context window
R1 0528
R1 0528 takes 164K tokens against 128K.
Listed by OpenRouter
Everyday cost
1K input + 500 output tokens
Nova Micro 1.0
Nova Micro 1.0 $0.0001, R1 0528 $0.0016 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, R1 0528 not benchmarked.
- Widest category
- Math, 51.5 points apart on average over 4 shared benchmarks.
- Widest single gap
- AA Math Index: Nova Micro 1.0 6.0 against R1 0528 76.0, 70.0 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against R1 0528 $2.18 per million output tokens, 15.6x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, R1 0528 164K.
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 | R1 0528 | Ties |
|---|---|---|---|---|
| Coding | 0 | 4 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 5 | ||
| Math | 0 | 4 | ||
| Knowledge | 0 | 5 | ||
| General | 0 | 18 | ||
| All shared boards | 0 | 38 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index04
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| Aider polyglot | Not measured | 71.4% | Only R1 0528 measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | 77.0% | R1 0528 |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 15.9% | R1 0528 |
| WeirdML | Not measured | 41.6% | Only R1 0528 measured |
| ALE-Bench | Not measured | 804.1 | Only R1 0528 measured |
| LMArena Text: coding | 1218 | 1427 | R1 0528 |
| LMArena Text: software and IT | 1215 | 1435 | R1 0528 |
| Neither model has a result on the other 32 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 13.1 | R1 0528 |
| Neither model has a result on the other 1 board here | |||
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| τ²-Bench Telecom | 14.0% | 36.5% | R1 0528 |
| METR time horizons | Not measured | 53.8% | Only R1 0528 measured |
| DeepResearch Bench | Not measured | 35.1% | Only R1 0528 measured |
| BrowseComp-Plus | Not measured | 16.4% | Only R1 0528 measured |
| Neither model has a result on the other 37 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| GPQA Diamond (Artificial Analysis run) | 35.8% | 81.3% | R1 0528 |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 15.8% | R1 0528 |
| GPQA Diamond (Epoch AI run) | Not measured | 76.3% | Only R1 0528 measured |
| ARC-AGI | Not measured | 21.2% | Only R1 0528 measured |
| ARC-AGI-2 | Not measured | 1.1% | Only R1 0528 measured |
| SimpleBench | Not measured | 40.8% | Only R1 0528 measured |
| LMArena Text: hard prompts | 1191 | 1415 | R1 0528 |
| LMArena Text: expert | 1183 | 1394 | R1 0528 |
| LMArena Text: hard prompts in English | 1203 | 1422 | R1 0528 |
| Neither model has a result on the other 13 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index04
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| AA Math Index | 6.0 | 76.0 | R1 0528 |
| AIME 2025 (Artificial Analysis run) | 6.0% | 76.0% | R1 0528 |
| OTIS Mock AIME | Not measured | 66.4% | Only R1 0528 measured |
| MATH level 5 | Not measured | 96.6% | Only R1 0528 measured |
| LMArena Text: math | 1206 | 1400 | R1 0528 |
| LMArena Text: mathematical work | 1212 | 1415 | R1 0528 |
| Neither model has a result on the other 7 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index05
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| MMLU Pro (Artificial Analysis run) | 53.1% | 84.9% | R1 0528 |
| MMLU | 70.8% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: science | 1210 | 1430 | R1 0528 |
| LMArena Text: medicine and healthcare | 1207 | 1445 | R1 0528 |
| LMArena Text: legal and government | 1221 | 1419 | R1 0528 |
| LMArena Text: business and finance | 1182 | 1402 | R1 0528 |
| Neither model has a result on the other 12 boards here | |||
Web designDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| Design Arena: websites | Not measured | 1149 | Only R1 0528 measured |
| Design Arena: UI components | Not measured | 1103 | Only R1 0528 measured |
| Design Arena: game dev | Not measured | 1097 | Only R1 0528 measured |
| Design Arena: data viz | Not measured | 1182 | Only R1 0528 measured |
| Design Arena: 3D | Not measured | 1111 | Only R1 0528 measured |
| Design Arena: all code categories | Not measured | 1139 | Only R1 0528 measured |
| Design Arena: SVG | Not measured | 1039 | Only R1 0528 measured |
| Neither model has a result on the other 2 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index018
| Benchmark | Nova Micro 1.0 | R1 0528 | Leader |
|---|---|---|---|
| IFBench | 29.4% | 39.6% | R1 0528 |
| Long context reasoning (AA-LCR) | 13.0% | 55.7% | R1 0528 |
| Fiction.LiveBench | Not measured | 75.0% | Only R1 0528 measured |
| Creative writing (Lech Mazur) | Not measured | 81.9% | Only R1 0528 measured |
| LMArena Text | 1208 | 1428 | R1 0528 |
| LMArena Text: instruction following | 1174 | 1382 | R1 0528 |
| LMArena Text: creative writing | 1172 | 1405 | R1 0528 |
| LMArena Text: English | 1224 | 1437 | R1 0528 |
| LMArena Text: non-English | 1186 | 1412 | R1 0528 |
| LMArena Text: Chinese | 1209 | 1442 | R1 0528 |
| LMArena Text: German | 1192 | 1404 | R1 0528 |
| LMArena Text: Japanese | 1154 | 1391 | R1 0528 |
| LMArena Text: Korean | 1150 | 1360 | R1 0528 |
| LMArena Text: French | 1238 | 1417 | R1 0528 |
| LMArena Text: Spanish | 1225 | 1411 | R1 0528 |
| LMArena Text: Russian | 1185 | 1423 | R1 0528 |
| LMArena Text: Polish | Not measured | 1428 | Only R1 0528 measured |
| LMArena Text: multi-turn | 1178 | 1405 | R1 0528 |
| LMArena Text: longer queries | 1205 | 1391 | R1 0528 |
| LMArena Text: writing and language | 1192 | 1402 | R1 0528 |
| LMArena Text: entertainment and media | 1163 | 1400 | R1 0528 |
| Neither model has a result on the other 25 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | R1 0528 | 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 | DeepSeek R1 0528 |
|---|---|---|
| Maker | Amazon | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | December 5, 2024 | May 28, 2025 |
| Context window | 128K | 164K |
| Input $/Mtok | $0.035 | $0.50 |
| Output $/Mtok | $0.14 | $2.18 |
| 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 Micro 1.0 better than R1 0528 for coding?
Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Nova Micro 1.0 for output tokens 15.6x cheaper ($0.14 vs $2.18 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
Which is cheaper, Nova Micro 1.0 or R1 0528?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; R1 0528 costs $0.50 and $2.18. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or R1 0528?
R1 0528, with 164K tokens against 128K.
How many benchmarks is the Nova Micro 1.0 vs R1 0528 comparison based on?
38 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 R1 0528's on 0. Where only one model has a result, the page says so instead of naming a winner.