Model comparison
Amazon Nova Micro vs DeepSeek V4 Pro
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 30.4 on the Noometry Index. Amazon Nova Micro costs 16× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.
Last verified . 18 shared benchmarks.
DeepSeekSummary
- They share 18 benchmarks with published results for both. Amazon Nova Micro scores higher in 0 categories and DeepSeek V4 Pro in 9 categories; 9 gaps are clear of the uncertainty.
- The widest gap is in reasoning, where DeepSeek V4 Pro leads 56.5 to 17.4.
- Amazon Nova Micro is cheaper at $0.035 / $0.14 per million input/output tokens, against $0.66 / $1.98 for DeepSeek V4 Pro.
- DeepSeek V4 Pro accepts more context: 1M tokens versus 128K.
- DeepSeek V4 Pro has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Micro | DeepSeek V4 Pro | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 30.4 | 54.3 |
| Released | 2024-12-03 | 2026-04-24 |
| Weights | Proprietary | Open |
| Context window | 128K | 1M |
| Max output | 10K | 393K |
| Input $ / M tokens | $0.035 | $0.66 |
| Output $ / M tokens | $0.14 | $1.98 |
| Results tracked | 32 | 48 |
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Category by category
Coding DeepSeek V4 Pro leads
Amazon Nova Micro: 30.5 (#295), DeepSeek V4 Pro: 52.4 (#34)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Coding | 1218 | 1470 |
| SWE-bench Verified | — | 77.6% |
| FrontierCode | — | 28.6% |
| LMArena WebDev | — | 1582 |
| SciCode | — | 51% |
| WeirdML | — | 66.2% |
| LiveBench Coding | 20.2% | — |
| ALE-Bench | — | 1,403 |
Agentic & Tool Use DeepSeek V4 Pro leads
Amazon Nova Micro: 22.1 (#132), DeepSeek V4 Pro: 32.8 (#58)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| APEX-Agents | — | 47.3% |
| Berkeley Function Calling Leaderboard | 22.3% | — |
| Vending-Bench 2 | — | 3,285 |
Reasoning DeepSeek V4 Pro leads
Amazon Nova Micro: 17.4 (#294), DeepSeek V4 Pro: 56.5 (#24)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Hard Prompts | 1191 | 1461 |
| ARC-AGI-2 | — | 61.3% |
| Kagi LLM Benchmark | — | 53.5% |
| NYT Connections (extended) | — | 91.3% |
| ARC-AGI-1 | — | 90.5% |
| CritPt | — | 18% |
| Chess Puzzles | — | 47% |
| LiveBench Reasoning | 25.1% | — |
| Mystery Game Puzzles | — | 43% |
| DTBench | — | 93.9% |
| LiveBench Data Analysis | 34% | — |
| LMCA | — | 45.5% |
| Surface Evolver Bench | — | 40% |
| Epoch Capabilities Index | — | 155.31 |
| ForecastBench | — | 56.1 |
| LiveBench | 29.6% | — |
Math DeepSeek V4 Pro leads
Amazon Nova Micro: 26.9 (#254), DeepSeek V4 Pro: 64.8 (#30)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Math | 1206 | 1455 |
| FrontierMath (Tiers 1-3) | — | 64.6% |
| FrontierMath Tier 4 | — | 26.8% |
| MathArena Final-Answer Competitions | — | 76.6% |
| OTIS Mock AIME 2024-2025 | — | 98.6% |
| ProofBench | — | 50% |
| Omni-MATH | 21.4% | — |
| LiveBench Math | 34.5% | — |
Knowledge DeepSeek V4 Pro leads
Amazon Nova Micro: 29.6 (#237), DeepSeek V4 Pro: 59.5 (#31)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| Vectara Hallucination Rate | 5.5% | 8.6% |
| LMArena Expert | 1184 | 1464 |
| GPQA Diamond | — | 91.7% |
| SimpleQA Verified | — | 52.9% |
| MMLU-Pro | 51.1% | — |
| GPQA (HELM) | 38.3% | — |
| MMLU | 70.8% | — |
Multilingual DeepSeek V4 Pro leads
Amazon Nova Micro: 36.5 (#239), DeepSeek V4 Pro: 54.4 (#45)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Non-English | 1186 | 1439 |
| LMArena Chinese | 1209 | 1486 |
| LMArena French | 1238 | 1472 |
| LMArena German | 1192 | 1458 |
| LMArena Japanese | 1154 | 1445 |
| LMArena Korean | 1150 | 1447 |
| LMArena Russian | 1185 | 1453 |
| LMArena Spanish | 1225 | 1458 |
Instruction Following DeepSeek V4 Pro leads
Amazon Nova Micro: 56.3 (#272), DeepSeek V4 Pro: 76.1 (#47)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Instruction Following | 1174 | 1448 |
| LiveBench Instruction Following | 48% | — |
| IFEval | 76% | — |
Long Context DeepSeek V4 Pro leads
Amazon Nova Micro: 36.5 (#229), DeepSeek V4 Pro: 45.0 (#51)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Longer Query | 1205 | 1458 |
| CL-bench Life | — | 13.5% |
Writing & Preference DeepSeek V4 Pro leads
Amazon Nova Micro: 39.5 (#247), DeepSeek V4 Pro: 65.5 (#46)
| Benchmark | Amazon Nova Micro | DeepSeek V4 Pro |
|---|---|---|
| LMArena Text | 1208 | 1451 |
| LMArena Creative Writing | 1172 | 1446 |
| LMArena Multi-Turn | 1178 | 1467 |
| EQ-Bench Creative Writing | — | 1553 |
| WildBench | 74.3% | — |
| EQ-Bench 4 | — | 1166 |
| LiveBench Language | 15.8% | — |
Frequently asked questions
Is Amazon Nova Micro better than DeepSeek V4 Pro?
DeepSeek V4 Pro is the stronger model overall, scoring 54.3 to 30.4 on the Noometry Index. Amazon Nova Micro costs 16× less per token, which makes it the better buy when DeepSeek V4 Pro's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Micro or DeepSeek V4 Pro?
Amazon Nova Micro is cheaper. It lists at $0.035 per million input tokens and $0.14 per million output tokens; DeepSeek V4 Pro lists at $0.66 and $1.98.
Is Amazon Nova Micro or DeepSeek V4 Pro better for coding?
DeepSeek V4 Pro scores higher on coding benchmarks: 52.4 versus 30.5 in the Noometry coding category.
Which has the bigger context window?
DeepSeek V4 Pro does, with 1M tokens against 128K.
How many benchmarks do Amazon Nova Micro and DeepSeek V4 Pro share?
18 benchmarks have published results for both models. Amazon Nova Micro has 32 scored results on Noometry and DeepSeek V4 Pro has 48.