Model comparison

DeepSeek-V3.1-Terminus vs Llama 3.2 3B

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 28.4 on the Noometry Index. Llama 3.2 3B costs 4.0× less per token, which makes it the better buy when DeepSeek-V3.1-Terminus's lead doesn't matter for your workload.

Last verified October 10, 2026. 10 shared benchmarks.

DeepSeek-V3.1-Terminus

DeepSeek

42.6

Rank #96 Confirmed

Llama 3.2 3B

Summary

They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Llama 3.2 3B in 0 categories; 7 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where DeepSeek-V3.1-Terminus leads 61.3 to 24.9.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.30 / $1 for DeepSeek-V3.1-Terminus.
DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 131K.

Side by side

DeepSeek-V3.1-Terminus and Llama 3.2 3B specifications
	DeepSeek-V3.1-Terminus	Llama 3.2 3B
Provider	DeepSeek	Meta
Noometry Index	42.6	28.4
Released	2025-09-22	2024-09-24
Weights	Open	Open
Context window	164K	131K
Max output	66K	118K
Input $ / M tokens	$0.30	$0.05
Output $ / M tokens	$1	$0.33
Results tracked	16	18

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 41.5 (#114), Llama 3.2 3B: 27.1 (#314)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Coding	1426	1098
SciCode	40.6%	—
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%
ALE-Bench	745.17	—

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, Llama 3.2 3B: 19.9 (#135)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), Llama 3.2 3B: 20.1 (#225)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Hard Prompts	1427	1095
Kagi LLM Benchmark	57.4%	—
CritPt	1.7%	—
DTBench	81.3%	—
LMCA	28.6%	—

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 35.7 (#138), Llama 3.2 3B: 29.9 (#213)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Math	1402	1126

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Llama 3.2 3B: 29.1 (#232)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Expert	—	1090

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.3 (#87), Llama 3.2 3B: 26.4 (#276)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Non-English	1407	1019
LMArena Russian	1434	949
LMArena Chinese	—	1017
LMArena German	—	1056

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.4 (#96), Llama 3.2 3B: 56.3 (#270)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Instruction Following	1406	1089

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.5 (#88), Llama 3.2 3B: 33.4 (#256)

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Longer Query	1426	1101

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.3 (#87), Llama 3.2 3B: 24.9 (#302)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 3B
LMArena Text	1420	1110
LMArena Creative Writing	1404	1094
LMArena Multi-Turn	1411	1105
EQ-Bench Creative Writing	—	595

Frequently asked questions

Is DeepSeek-V3.1-Terminus better than Llama 3.2 3B?

Which is cheaper, DeepSeek-V3.1-Terminus or Llama 3.2 3B?

Llama 3.2 3B is cheaper. It lists at $0.05 per million input tokens and $0.33 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.30 and $1.

Is DeepSeek-V3.1-Terminus or Llama 3.2 3B better for coding?

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 131K.

How many benchmarks do DeepSeek-V3.1-Terminus and Llama 3.2 3B share?

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Llama 3.2 3B has 18.