Nova Micro 1.0 vs DeepSeek V3 0324
DeepSeek V3 0324 leads Nova Micro 1.0 on the Artificial Analysis Intelligence Index, 9.7 to 5.9, and Nova Micro 1.0 costs 7.6x less per output token ($0.14 vs $1.07 per million). Updated October 21, 2026; 11 benchmarks have a result for both.
Nova Micro 1.0 or DeepSeek V3 0324: 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 7.6x cheaper ($0.14 vs $1.07 per million) and work measured by LiveCodeBench (Artificial Analysis run) or Terminal-Bench Hard (Artificial Analysis run), where it leads.
- Shared results
- 11
- Nova Micro 1.0 only
- 28
- DeepSeek V3 0324 only
- 24
- 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
DeepSeek V3 0324
DeepSeek V3 0324 leads, 9.7 against 5.9.
Same board, both measured
Agentic work
AA Agentic Index
No call
Only DeepSeek V3 0324 has a AA Agentic Index result, 0.8.
Directional only
Reasoning
GPQA Diamond
No call
Only DeepSeek V3 0324 has a GPQA Diamond result, 61.6%.
Directional only
Math
AIME
No call
Only DeepSeek V3 0324 has a AIME result, 52.2%.
Directional only
Knowledge
MMLU Pro
No call
Only DeepSeek V3 0324 has a MMLU Pro result, 79.5%.
Directional only
Long documents
Listed context window
DeepSeek V3 0324
DeepSeek V3 0324 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, DeepSeek V3 0324 $0.0008 per turn.
List prices
At a glance
- Coding index
- Nova Micro 1.0 not benchmarked, DeepSeek V3 0324 not benchmarked.
- Widest category
- Math, 35.0 points apart on average over 2 shared benchmarks.
- Widest single gap
- AA Math Index: Nova Micro 1.0 6.0 against DeepSeek V3 0324 41.0, 35.0 points apart on a 0 to 100 scale.
- Output price
- Nova Micro 1.0 $0.14 against DeepSeek V3 0324 $1.07 per million output tokens, 7.6x apart.
- Context window
- Nova Micro 1.0 takes 128K tokens, DeepSeek V3 0324 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 | DeepSeek V3 0324 | Ties |
|---|---|---|---|---|
| Coding | 0 | 2 | ||
| Intelligence | 0 | 1 | ||
| Agentic work | 0 | 1 | ||
| Reasoning | 0 | 2 | ||
| Math | 0 | 2 | ||
| Knowledge | 0 | 1 | ||
| General | 0 | 2 | ||
| All shared boards | 0 | 11 |
CodingLike-for-likeSix of these boards feed the Vibe Coding Index02
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| SWE-bench Verified | Not measured | 42.0% | Only DeepSeek V3 0324 measured |
| AA Coding Index | Not measured | 21.2 | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Vals AI) | Not measured | 65.5% | Only DeepSeek V3 0324 measured |
| LiveCodeBench (Artificial Analysis run) | 14.0% | 40.5% | DeepSeek V3 0324 |
| SciCode | Not measured | 39.0% | Only DeepSeek V3 0324 measured |
| Terminal-Bench Hard (Artificial Analysis run) | 1.5% | 15.2% | DeepSeek V3 0324 |
| WeirdML | Not measured | 36.1% | Only DeepSeek V3 0324 measured |
| LMArena Text: coding | 1218 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: software and IT | 1215 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 30 boards here | |||
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AA Intelligence Index | 5.9 | 9.7 | DeepSeek V3 0324 |
| 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 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AA Agentic Index | Not measured | 0.8 | Only DeepSeek V3 0324 measured |
| τ²-Bench Telecom | 14.0% | 47.1% | DeepSeek V3 0324 |
| METR time horizons | Not measured | 49.6% | Only DeepSeek V3 0324 measured |
| Neither model has a result on the other 38 boards here | |||
ReasoningLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| GPQA Diamond | Not measured | 61.6% | Only DeepSeek V3 0324 measured |
| GPQA Diamond (Artificial Analysis run) | 35.8% | 65.5% | DeepSeek V3 0324 |
| Humanity's Last Exam (Artificial Analysis run) | 4.6% | 4.7% | DeepSeek V3 0324 |
| GPQA Diamond (Epoch AI run) | Not measured | 67.6% | Only DeepSeek V3 0324 measured |
| SimpleBench | Not measured | 27.2% | Only DeepSeek V3 0324 measured |
| LMArena Text: hard prompts | 1191 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: expert | 1183 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: hard prompts in English | 1203 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 14 boards here | |||
MathLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| AIME | Not measured | 52.2% | Only DeepSeek V3 0324 measured |
| MATH 500 (Vals AI) | Not measured | 88.6% | Only DeepSeek V3 0324 measured |
| MGSM (Vals AI) | Not measured | 91.7% | Only DeepSeek V3 0324 measured |
| AA Math Index | 6.0 | 41.0 | DeepSeek V3 0324 |
| AIME 2025 (Artificial Analysis run) | 6.0% | 41.0% | DeepSeek V3 0324 |
| OTIS Mock AIME | Not measured | 37.8% | Only DeepSeek V3 0324 measured |
| MATH level 5 | Not measured | 75.5% | Only DeepSeek V3 0324 measured |
| LMArena Text: math | 1206 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: mathematical work | 1212 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 4 boards here | |||
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index01
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| MMLU Pro | Not measured | 79.5% | Only DeepSeek V3 0324 measured |
| LegalBench (Vals AI) | Not measured | 77.7% | Only DeepSeek V3 0324 measured |
| CorpFin (Vals AI) | Not measured | 54.7% | Only DeepSeek V3 0324 measured |
| TaxEval (Vals AI) | Not measured | 71.1% | Only DeepSeek V3 0324 measured |
| MedQA (Vals AI) | Not measured | 82.0% | Only DeepSeek V3 0324 measured |
| MMLU Pro (Artificial Analysis run) | 53.1% | 81.9% | DeepSeek V3 0324 |
| MMLU | 70.8% | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: science | 1210 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: medicine and healthcare | 1207 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: legal and government | 1221 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: business and finance | 1182 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 7 boards here | |||
Web designNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| Neither model has a result on 9 boards here | |||
GeneralLike-for-likePublic boards, shown as published, kept out of the index02
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | Leader |
|---|---|---|---|
| IFBench | 29.4% | 41.0% | DeepSeek V3 0324 |
| Long context reasoning (AA-LCR) | 13.0% | 40.7% | DeepSeek V3 0324 |
| DTBench | Not measured | 64.8% | Only DeepSeek V3 0324 measured |
| LMCA | Not measured | 15.5% | Only DeepSeek V3 0324 measured |
| Fiction.LiveBench | Not measured | 50.0% | Only DeepSeek V3 0324 measured |
| Creative writing (Lech Mazur) | Not measured | 77.0% | Only DeepSeek V3 0324 measured |
| LMArena Text | 1208 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: instruction following | 1174 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: creative writing | 1172 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: English | 1224 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: non-English | 1186 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Chinese | 1209 | Not measured | Only Nova Micro 1.0 measured |
| 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 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Spanish | 1225 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: Russian | 1185 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: multi-turn | 1178 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: longer queries | 1205 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: writing and language | 1192 | Not measured | Only Nova Micro 1.0 measured |
| LMArena Text: entertainment and media | 1163 | Not measured | Only Nova Micro 1.0 measured |
| Neither model has a result on the other 24 boards here | |||
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
| Benchmark | Nova Micro 1.0 | DeepSeek V3 0324 | 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 V3 0324 |
|---|---|---|
| Maker | Amazon | DeepSeek |
| Weights | No public weights listed | Open weights |
| Released | December 5, 2024 | March 24, 2025 |
| Context window | 128K | 164K |
| Input $/Mtok | $0.035 | $0.27 |
| Output $/Mtok | $0.14 | $1.07 |
| 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 DeepSeek V3 0324 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 7.6x cheaper ($0.14 vs $1.07 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 DeepSeek V3 0324?
Nova Micro 1.0 costs $0.035 per million input tokens and $0.14 per million output tokens; DeepSeek V3 0324 costs $0.27 and $1.07. Cost per solved task is known for neither of them.
Which has the bigger context window, Nova Micro 1.0 or DeepSeek V3 0324?
DeepSeek V3 0324, with 164K tokens against 128K.
How many benchmarks is the Nova Micro 1.0 vs DeepSeek V3 0324 comparison based on?
11 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 DeepSeek V3 0324's on 0. Where only one model has a result, the page says so instead of naming a winner.