Model comparison

DeepSeek-V3.2-Speciale vs Gemma 3 27B

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 30.8 on the Noometry Index. Gemma 3 27B costs 8.5× 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 12, 2026. 1 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.7

Rank #162 Reported

Gemma 3 27B

Google

30.8

Rank #284 Confirmed

Summary

They share 1 benchmark with published results for both. DeepSeek-V3.2-Speciale scores higher in 2 categories and Gemma 3 27B in 1 category; 3 gaps are clear of the uncertainty.
The widest gap is in coding, where DeepSeek-V3.2-Speciale leads 40.4 to 22.5.
Gemma 3 27B is cheaper at $0.08 / $0.16 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.
Gemma 3 27B accepts more context: 131K tokens versus 128K.

Side by side

DeepSeek-V3.2-Speciale and Gemma 3 27B specifications
	DeepSeek-V3.2-Speciale	Gemma 3 27B
Provider	DeepSeek	Google
Noometry Index	39.7	30.8
Released	2025-12-01	2025-03-11
Weights	Open	Open
Context window	128K	131K
Max output	128K	8K
Input $ / M tokens	$0.58	$0.08
Output $ / M tokens	$1.68	$0.16
Results tracked	3	43

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Category by category

Coding DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 40.4 (#140), Gemma 3 27B: 22.5 (#334)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
Aider Polyglot	—	4.9%
SciCode	—	21.2%
WeirdML	46.7%	—
LiveBench Coding	—	39.9%
LMArena Coding	—	1322

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 25.1 (#110)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
Berkeley Function Calling Leaderboard	—	29.5%

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.9 (#73), Gemma 3 27B: 16.7 (#301)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
SimpleBench	52.6%	—
Kagi LLM Benchmark	—	40.4%
CritPt	—	0%
Chess Puzzles	—	0%
LiveBench Reasoning	—	43.8%
LMArena Hard Prompts	—	1340
DTBench	—	52.5%
LiveBench Data Analysis	—	51.5%
LMCA	—	12.3%
Epoch Capabilities Index	—	130.04
LiveBench	—	50%

Math Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 25.9 (#265)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
OTIS Mock AIME 2024-2025	—	22.5%
LiveBench Math	—	55.4%
LMArena Math	—	1312
MATH Level 5	—	74%

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 25.5 (#261)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
GPQA Diamond	—	47.7%
Confabulations	—	40.3%
Vectara Hallucination Rate	—	7.4%
LMArena Expert	—	1304

Multimodal Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 32.6 (#100)

Multimodal benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
LMArena Vision	—	1164
GeoBench	—	52%

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 46.9 (#155)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
LMArena Non-English	—	1334
LMArena Chinese	—	1346
LMArena French	—	1368
LMArena German	—	1362
LMArena Japanese	—	1287
LMArena Korean	—	1308
LMArena Russian	—	1349
LMArena Spanish	—	1349

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 70.6 (#160)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
LiveBench Instruction Following	—	74.9%
LMArena Instruction Following	—	1321

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Gemma 3 27B: 27.6 (#293)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
Fiction.LiveBench	—	33.3%
LMArena Longer Query	—	1333

Writing & Preference Gemma 3 27B leads

DeepSeek-V3.2-Speciale: 46.0 (#222), Gemma 3 27B: 52.5 (#168)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Gemma 3 27B
EQ-Bench Creative Writing	1276	1266
LMArena Text	—	1358
LMArena Creative Writing	—	1346
Short-Story Creative Writing	—	79.9%
LMArena Multi-Turn	—	1345
LiveBench Language	—	34.6%

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Gemma 3 27B?

Which is cheaper, DeepSeek-V3.2-Speciale or Gemma 3 27B?

Gemma 3 27B is cheaper. It lists at $0.08 per million input tokens and $0.16 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

Is DeepSeek-V3.2-Speciale or Gemma 3 27B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 22.5 in the Noometry coding category.

Which has the bigger context window?

Gemma 3 27B does, with 131K tokens against 128K.

How many benchmarks do DeepSeek-V3.2-Speciale and Gemma 3 27B share?

1 benchmark has published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Gemma 3 27B has 43.