# Amazon Nova Lite vs DeepSeek-V3.2-Exp

> DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 31.9 on the Noometry Index. Amazon Nova Lite costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.2-Exp's lead doesn't matter for your workload.

- Canonical page: https://noometry.com/compare/amazon-nova-lite-vs-deepseek-v3-2-exp
- Last updated: 2026-10-11
- Shared benchmarks: 18

## Summary

- They share 18 benchmarks with published results for both. Amazon Nova Lite scores higher in 0 categories and DeepSeek-V3.2-Exp in 8 categories; 8 gaps are clear of the uncertainty.
- The widest gap is in knowledge, where DeepSeek-V3.2-Exp leads 51.7 to 26.3.
- Amazon Nova Lite is cheaper at $0.06 / $0.24 per million input/output tokens, against $0.26 / $0.38 for DeepSeek-V3.2-Exp.
- Amazon Nova Lite accepts more context: 300K tokens versus 164K.
- DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

## Snapshot

| | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| Provider | Amazon | DeepSeek |
| Noometry Index | 31.9 | 44.3 |
| Rank | 265 | 78 |
| Context | 300K | 164K |
| Input $/M | $0.06 | $0.26 |
| Output $/M | $0.24 | $0.38 |
| Weights | Proprietary | Open |

## Coding

- Amazon Nova Lite: 32.5 (#270)
- DeepSeek-V3.2-Exp: 46.5 (#65)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Coding | 1239 | 1454 |
| SWE-bench Verified (bash only) | — | 70% |
| Aider Polyglot | — | 74.2% |
| LMArena WebDev | — | 1362 |
| SWE-bench Multilingual | — | 59% |
| SciCode | — | 38.9% |
| WeirdML | — | 39.5% |
| LiveBench Coding | 27.5% | — |
| ALE-Bench | 236.25 | — |

## Agentic & Tool Use

- Amazon Nova Lite: —
- DeepSeek-V3.2-Exp: 32.7 (#59)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| Terminal-Bench | — | 39.6% |
| APEX-Agents | — | 21.3% |
| Berkeley Function Calling Leaderboard | — | 56.7% |
| TheAgentCompany | — | 42.9% |
| Vending-Bench 2 | — | 1,034 |

## Reasoning

- Amazon Nova Lite: 19.3 (#260)
- DeepSeek-V3.2-Exp: 22.1 (#208)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Hard Prompts | 1220 | 1434 |
| ARC-AGI-2 | — | 4% |
| Kagi LLM Benchmark | — | 52.2% |
| NYT Connections (extended) | — | 36.7% |
| ARC-AGI-1 | — | 57% |
| CritPt | — | 2.9% |
| Chess Puzzles | — | 14% |
| Thematic Generalization | — | 65% |
| LiveBench Reasoning | 36.7% | — |
| DTBench | — | 87.7% |
| LiveBench Data Analysis | 37.2% | — |
| LMCA | — | 29.1% |
| Epoch Capabilities Index | — | 146.27 |
| LiveBench | 36.4% | — |

## Math

- Amazon Nova Lite: 27.8 (#247)
- DeepSeek-V3.2-Exp: 41.7 (#87)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Math | 1227 | 1435 |
| MathArena Final-Answer Competitions | — | 57.7% |
| OTIS Mock AIME 2024-2025 | — | 87.8% |
| ProofBench | — | 8% |
| Omni-MATH | 23.3% | — |
| LiveBench Math | 36.7% | — |
| FrontierMath (Feb 2025 set) | — | 22.1% |
| FrontierMath Tier 4 (v1) | — | 2.1% |

## Knowledge

- Amazon Nova Lite: 26.3 (#259)
- DeepSeek-V3.2-Exp: 51.7 (#66)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| Vectara Hallucination Rate | 6.1% | 5.3% |
| LMArena Expert | 1201 | 1436 |
| GPQA Diamond | — | 83.4% |
| Humanity's Last Exam | 3.6% | — |
| MMLU-Pro | 60% | — |
| GPQA (HELM) | 39.7% | — |
| MMLU | 77% | — |

## Multimodal

- Amazon Nova Lite: 25.5 (#123)
- DeepSeek-V3.2-Exp: —

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Vision | 990 | — |

## Multilingual

- Amazon Nova Lite: 38.0 (#232)
- DeepSeek-V3.2-Exp: 52.2 (#90)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Non-English | 1208 | 1409 |
| LMArena Chinese | 1225 | 1461 |
| LMArena French | 1237 | 1433 |
| LMArena German | 1229 | 1440 |
| LMArena Japanese | 1153 | 1374 |
| LMArena Korean | 1153 | 1371 |
| LMArena Russian | 1216 | 1424 |
| LMArena Spanish | 1226 | 1440 |

## Instruction Following

- Amazon Nova Lite: 59.3 (#255)
- DeepSeek-V3.2-Exp: 74.5 (#93)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Instruction Following | 1205 | 1413 |
| LiveBench Instruction Following | 54.1% | — |
| IFEval | 77.6% | — |

## Long Context

- Amazon Nova Lite: 37.4 (#217)
- DeepSeek-V3.2-Exp: 47.6 (#16)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Longer Query | 1234 | 1428 |
| Fiction.LiveBench | — | 83.3% |
| CL-bench | — | 13.2% |
| CL-bench Life | — | 9.5% |

## Writing & Preference

- Amazon Nova Lite: 42.1 (#237)
- DeepSeek-V3.2-Exp: 62.4 (#77)

| Benchmark | Amazon Nova Lite | DeepSeek-V3.2-Exp |
|---|---|---|
| LMArena Text | 1229 | 1425 |
| LMArena Creative Writing | 1197 | 1403 |
| LMArena Multi-Turn | 1199 | 1427 |
| EQ-Bench Creative Writing | — | 1515 |
| WildBench | 75% | — |
| LiveBench Language | 25.9% | — |

## FAQ

### Is Amazon Nova Lite better than DeepSeek-V3.2-Exp?

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.3 to 31.9 on the Noometry Index. Amazon Nova Lite costs 2.8× less per token, which makes it the better buy when DeepSeek-V3.2-Exp's lead doesn't matter for your workload.

### Which is cheaper, Amazon Nova Lite or DeepSeek-V3.2-Exp?

Amazon Nova Lite is cheaper. It lists at $0.06 per million input tokens and $0.24 per million output tokens; DeepSeek-V3.2-Exp lists at $0.26 and $0.38.

### Is Amazon Nova Lite or DeepSeek-V3.2-Exp better for coding?

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.5 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-V3.2-Exp share?

18 benchmarks have published results for both models. Amazon Nova Lite has 34 scored results on Noometry and DeepSeek-V3.2-Exp has 49.