Model comparison

DeepSeek-V3.2-Speciale vs Gemma 3 4B

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 28.1 on the Noometry Index. Gemma 3 4B costs 17× less per token, which makes it the better buy when DeepSeek-V3.2-Speciale's lead doesn't matter for your workload.

Last verified October 10, 2026. 1 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.7

Rank #162 Reported

Gemma 3 4B

Google

28.1

Rank #326 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 3 categories and Gemma 3 4B in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 13.2.
Gemma 3 4B is cheaper at $0.04 / $0.08 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
Gemma 3 4B accepts more context: 131K tokens versus 128K.

Side by side

DeepSeek-V3.2-Speciale and Gemma 3 4B specifications
	DeepSeek-V3.2-Speciale	Gemma 3 4B
Provider	DeepSeek	Google
Noometry Index	39.7	28.1
Released	2025-12-01	2025-03-12
Weights	Open	Open
Context window	128K	131K
Max output	128K	4K
Input $ / M tokens	$0.58	$0.04
Output $ / M tokens	$1.68	$0.08
Results tracked	3	22

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Category by category

Coding DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 40.4 (#140), Gemma 3 4B: 35.9 (#215)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
WeirdML	46.7%	—
LMArena Coding	—	1230

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 20.9 (#142)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
Berkeley Function Calling Leaderboard	—	19.6%

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 3 4B: 13.2 (#335)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
SimpleBench	52.6%	—
Kagi LLM Benchmark	—	25.2%
Chess Puzzles	—	0%
LMArena Hard Prompts	—	1253
DTBench	—	50.9%
LMCA	—	2.8%
Epoch Capabilities Index	—	116.02

Math Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 16.8 (#292)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
OTIS Mock AIME 2024-2025	—	7.5%
LMArena Math	—	1239

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 11.8 (#299)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
GPQA Diamond	—	23.2%
Vectara Hallucination Rate	—	6.4%
LMArena Expert	—	1223

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 42.5 (#194)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
LMArena Non-English	—	1273
LMArena German	—	1281
LMArena Russian	—	1294

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 65.2 (#225)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
LMArena Instruction Following	—	1239

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 4B: 38.7 (#194)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
LMArena Longer Query	—	1273

Writing & Preference DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 3 4B: 42.0 (#239)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 4B
EQ-Bench Creative Writing	1276	1068
LMArena Text	—	1291
LMArena Creative Writing	—	1271
LMArena Multi-Turn	—	1255

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Gemma 3 4B?

Which is cheaper, DeepSeek-V3.2-Speciale or Gemma 3 4B?

Gemma 3 4B is cheaper. It lists at $0.04 per million input tokens and $0.08 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

Is DeepSeek-V3.2-Speciale or Gemma 3 4B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 35.9 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 4B does, with 131K tokens against 128K.

How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 3 4B share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 3 4B has 22.