Model comparison

DeepSeek-V3.2-Exp vs Nova 2 Lite

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.9 to 39.0 on the Noometry Index.

Last verified October 10, 2026. 19 shared benchmarks.

DeepSeek-V3.2-Exp

DeepSeek

44.9

Rank #68 Confirmed

Nova 2 Lite Amazon

39.0

Rank #161 Confirmed

Summary

They share 19 benchmarks with published results for both. DeepSeek-V3.2-Exp scores higher in 8 categories and Nova 2 Lite in 1 category; 9 gaps are clear of the uncertainty.
The widest gap is in agentic & tool use, where DeepSeek-V3.2-Exp leads 37.9 to 23.9.
The biggest single-benchmark swing is Berkeley Function Calling Leaderboard: 56.7% for DeepSeek-V3.2-Exp and 27.1% for Nova 2 Lite.
DeepSeek-V3.2-Exp is cheaper at $0.26 / $0.38 per million input/output tokens, against $0.30 / $2.50 for Nova 2 Lite.
Nova 2 Lite accepts more context: 1M tokens versus 164K.
DeepSeek-V3.2-Exp has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3.2-Exp and Nova 2 Lite specifications
	DeepSeek-V3.2-Exp	Nova 2 Lite
Provider	DeepSeek	Amazon
Noometry Index	44.9	39.0
Released	2025-09-29	2025-12-01
Weights	Open	Proprietary
Context window	164K	1M
Max output	66K	64K
Input $ / M tokens	$0.26	$0.30
Output $ / M tokens	$0.38	$2.50
Results tracked	48	19

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Category by category

Coding DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 46.4 (#61), Nova 2 Lite: 40.1 (#131)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Coding	1454	1386
SWE-bench Verified (bash only)	70%	—
Aider Polyglot	74.2%	—
LMArena WebDev	1362	—
SWE-bench Multilingual	59%	—
SciCode	38.9%	—
WeirdML	39.5%	—

Agentic & Tool Use DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 37.9 (#31), Nova 2 Lite: 23.9 (#114)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
Berkeley Function Calling Leaderboard	56.7%	27.1%
Terminal-Bench	39.6%	—
TheAgentCompany	42.9%	—
Vending-Bench 2	1,034	—

Reasoning Nova 2 Lite leads

DeepSeek-V3.2-Exp: 22.0 (#185), Nova 2 Lite: 26.4 (#120)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Hard Prompts	1433	1364
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%	—
DTBench	87.7%	—
LMCA	29.1%	—
Epoch Capabilities Index	146.28	—

Math DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 40.8 (#75), Nova 2 Lite: 34.8 (#154)

Math benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Math	1435	1359
MathArena Final-Answer Competitions	57.7%	—
OTIS Mock AIME 2024-2025	87.8%	—
ProofBench	8%	—
FrontierMath (Feb 2025 set)	22.1%	—
FrontierMath Tier 4 (v1)	2.1%	—

Knowledge DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 51.6 (#61), Nova 2 Lite: 42.5 (#88)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
Vectara Hallucination Rate	5.3%	5.1%
LMArena Expert	1436	1360
GPQA Diamond	83.4%	—

Multilingual DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 52.4 (#85), Nova 2 Lite: 47.3 (#148)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Non-English	1409	1337
LMArena Chinese	1461	1364
LMArena French	1435	1381
LMArena German	1440	1343
LMArena Japanese	1377	1273
LMArena Korean	1372	1284
LMArena Russian	1423	1343
LMArena Spanish	1441	1372

Instruction Following DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 74.7 (#89), Nova 2 Lite: 70.7 (#156)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Instruction Following	1413	1335

Long Context DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 47.6 (#15), Nova 2 Lite: 40.6 (#145)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Longer Query	1428	1335
Fiction.LiveBench	83.3%	—
CL-bench	13.2%	—
CL-bench Life	9.5%	—

Writing & Preference DeepSeek-V3.2-Exp leads

DeepSeek-V3.2-Exp: 62.5 (#73), Nova 2 Lite: 54.1 (#150)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Exp	Nova 2 Lite
LMArena Text	1425	1362
LMArena Creative Writing	1403	1291
LMArena Multi-Turn	1427	1338
EQ-Bench Creative Writing	1515	—

Frequently asked questions

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

DeepSeek-V3.2-Exp is the stronger model overall, scoring 44.9 to 39.0 on the Noometry Index.

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

DeepSeek-V3.2-Exp is cheaper. It lists at $0.26 per million input tokens and $0.38 per million output tokens; Nova 2 Lite lists at $0.30 and $2.50.

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

DeepSeek-V3.2-Exp scores higher on coding benchmarks: 46.4 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

Nova 2 Lite does, with 1M tokens against 164K.

How many benchmarks do DeepSeek-V3.2-Exp and Nova 2 Lite share?

19 benchmarks have published results for both models. DeepSeek-V3.2-Exp has 48 scored results on Noometry and Nova 2 Lite has 19.