Model comparison
Amazon Nova Lite vs DeepSeek-V3.1
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 31.9 on the Noometry Index. Amazon Nova Lite costs 4.0× less per token, which makes it the better buy when DeepSeek-V3.1'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 Lite scores higher in 1 category and DeepSeek-V3.1 in 7 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in writing & preference, where DeepSeek-V3.1 leads 60.3 to 42.1.
- Amazon Nova Lite is cheaper at $0.06 / $0.24 per million input/output tokens, against $0.25 / $0.95 for DeepSeek-V3.1.
- Amazon Nova Lite accepts more context: 300K tokens versus 164K.
- DeepSeek-V3.1 has downloadable open weights; the other is API-only.
Side by side
| Amazon Nova Lite | DeepSeek-V3.1 | |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 31.9 | 42.8 |
| Released | 2024-12-03 | 2025-08-21 |
| Weights | Proprietary | Open |
| Context window | 300K | 164K |
| Max output | 10K | 8K |
| Input $ / M tokens | $0.06 | $0.25 |
| Output $ / M tokens | $0.24 | $0.95 |
| Results tracked | 34 | 27 |
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Category by category
Coding DeepSeek-V3.1 leads
Amazon Nova Lite: 32.5 (#270), DeepSeek-V3.1: 40.3 (#144)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Coding | 1239 | 1417 |
| WeirdML | — | 38.4% |
| LiveBench Coding | 27.5% | — |
| ALE-Bench | 236.25 | — |
Reasoning DeepSeek-V3.1 leads
Amazon Nova Lite: 19.3 (#260), DeepSeek-V3.1: 27.9 (#110)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Hard Prompts | 1220 | 1417 |
| SimpleBench | — | 40% |
| Kagi LLM Benchmark | — | 53.2% |
| LiveBench Reasoning | 36.7% | — |
| DTBench | — | 82.7% |
| LiveBench Data Analysis | 37.2% | — |
| LMCA | — | 24.3% |
| Epoch Capabilities Index | — | 139.92 |
| ForecastBench | — | 58 |
| LiveBench | 36.4% | — |
Math DeepSeek-V3.1 leads
Amazon Nova Lite: 27.8 (#247), DeepSeek-V3.1: 38.9 (#122)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Math | 1227 | 1420 |
| Omni-MATH | 23.3% | — |
| LiveBench Math | 36.7% | — |
Knowledge DeepSeek-V3.1 leads
Amazon Nova Lite: 26.3 (#259), DeepSeek-V3.1: 43.7 (#90)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| Vectara Hallucination Rate | 6.1% | 5.5% |
| LMArena Expert | 1201 | 1405 |
| Humanity's Last Exam | 3.6% | — |
| MMLU-Pro | 60% | — |
| GPQA (HELM) | 39.7% | — |
| MMLU | 77% | — |
Multimodal Not comparable
Amazon Nova Lite: 25.5 (#123), DeepSeek-V3.1: —
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Vision | 990 | — |
Multilingual DeepSeek-V3.1 leads
Amazon Nova Lite: 38.0 (#232), DeepSeek-V3.1: 51.6 (#106)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Non-English | 1208 | 1400 |
| LMArena Chinese | 1225 | 1469 |
| LMArena French | 1237 | 1447 |
| LMArena German | 1229 | 1411 |
| LMArena Japanese | 1153 | 1378 |
| LMArena Korean | 1153 | 1337 |
| LMArena Russian | 1216 | 1405 |
| LMArena Spanish | 1226 | 1431 |
Instruction Following DeepSeek-V3.1 leads
Amazon Nova Lite: 59.3 (#255), DeepSeek-V3.1: 73.9 (#110)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Instruction Following | 1205 | 1400 |
| LiveBench Instruction Following | 54.1% | — |
| IFEval | 77.6% | — |
Long Context Amazon Nova Lite leads
Amazon Nova Lite: 37.4 (#217), DeepSeek-V3.1: 36.3 (#232)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Longer Query | 1234 | 1422 |
| Fiction.LiveBench | — | 52.8% |
Writing & Preference DeepSeek-V3.1 leads
Amazon Nova Lite: 42.1 (#237), DeepSeek-V3.1: 60.3 (#98)
| Benchmark | Amazon Nova Lite | DeepSeek-V3.1 |
|---|---|---|
| LMArena Text | 1229 | 1420 |
| LMArena Creative Writing | 1197 | 1401 |
| LMArena Multi-Turn | 1199 | 1408 |
| EQ-Bench Creative Writing | — | 1436 |
| WildBench | 75% | — |
| LiveBench Language | 25.9% | — |
Frequently asked questions
Is Amazon Nova Lite better than DeepSeek-V3.1?
DeepSeek-V3.1 is the stronger model overall, scoring 42.8 to 31.9 on the Noometry Index. Amazon Nova Lite costs 4.0× less per token, which makes it the better buy when DeepSeek-V3.1's lead doesn't matter for your workload.
Which is cheaper, Amazon Nova Lite or DeepSeek-V3.1?
Amazon Nova Lite is cheaper. It lists at $0.06 per million input tokens and $0.24 per million output tokens; DeepSeek-V3.1 lists at $0.25 and $0.95.
Is Amazon Nova Lite or DeepSeek-V3.1 better for coding?
DeepSeek-V3.1 scores higher on coding benchmarks: 40.3 versus 32.5 in the Noometry coding category.
Which has the bigger context window?
Amazon Nova Lite does, with 300K tokens against 164K.
How many benchmarks do Amazon Nova Lite and DeepSeek-V3.1 share?
18 benchmarks have published results for both models. Amazon Nova Lite has 34 scored results on Noometry and DeepSeek-V3.1 has 27.