Model comparison

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

DeepSeek-V3.1-Terminus is the stronger model overall, scoring 42.6 to 19.9 on the Noometry Index. Llama 3.2 1B costs 6.7× 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 1B

Summary

They share 10 benchmarks with published results for both. DeepSeek-V3.1-Terminus scores higher in 7 categories and Llama 3.2 1B 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 21.4.
Llama 3.2 1B is cheaper at $0.027 / $0.20 per million input/output tokens, against $0.30 / $1 for DeepSeek-V3.1-Terminus.
DeepSeek-V3.1-Terminus accepts more context: 164K tokens versus 60K.

Side by side

DeepSeek-V3.1-Terminus and Llama 3.2 1B specifications
	DeepSeek-V3.1-Terminus	Llama 3.2 1B
Provider	DeepSeek	Meta
Noometry Index	42.6	19.9
Released	2025-09-22	2024-09-24
Weights	Open	Open
Context window	164K	60K
Max output	66K	54K
Input $ / M tokens	$0.30	$0.027
Output $ / M tokens	$1	$0.20
Results tracked	16	22

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Category by category

Coding DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 41.5 (#114), Llama 3.2 1B: 20.6 (#333)

Coding benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Coding	1426	1071
SciCode	40.6%	—
BigCodeBench Instruct	—	8.2%
BigCodeBench Complete	—	11.3%
ALE-Bench	745.17	—

Agentic & Tool Use Not comparable

DeepSeek-V3.1-Terminus: —, Llama 3.2 1B: 14.5 (#142)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
Berkeley Function Calling Leaderboard	—	10.8%
BALROG	—	6.6%

Reasoning DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 25.7 (#126), Llama 3.2 1B: 15.6 (#304)

Reasoning benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Hard Prompts	1427	1044
Kagi LLM Benchmark	57.4%	—
CritPt	1.7%	—
Chess Puzzles	—	0%
DTBench	81.3%	—
LMCA	28.6%	—
Epoch Capabilities Index	—	101.95

Math DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 35.7 (#138), Llama 3.2 1B: 9.7 (#308)

Math benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Math	1402	1086
OTIS Mock AIME 2024-2025	—	0.6%

Knowledge Not comparable

DeepSeek-V3.1-Terminus: —, Llama 3.2 1B: 7.2 (#307)

Knowledge benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
GPQA Diamond	—	23.9%
LMArena Expert	—	1007

Multilingual DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 52.3 (#87), Llama 3.2 1B: 23.9 (#287)

Multilingual benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Non-English	1407	973
LMArena Russian	1434	941
LMArena Chinese	—	958
LMArena German	—	1014

Instruction Following DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 74.4 (#96), Llama 3.2 1B: 52.6 (#285)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Instruction Following	1406	1031

Long Context DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 43.5 (#88), Llama 3.2 1B: 31.9 (#269)

Long Context benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Longer Query	1426	1050

Writing & Preference DeepSeek-V3.1-Terminus leads

DeepSeek-V3.1-Terminus: 61.3 (#87), Llama 3.2 1B: 21.4 (#305)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.1-Terminus	Llama 3.2 1B
LMArena Text	1420	1055
LMArena Creative Writing	1404	1033
LMArena Multi-Turn	1411	1030
EQ-Bench Creative Writing	—	200

Frequently asked questions

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

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

Llama 3.2 1B is cheaper. It lists at $0.027 per million input tokens and $0.20 per million output tokens; DeepSeek-V3.1-Terminus lists at $0.30 and $1.

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

DeepSeek-V3.1-Terminus scores higher on coding benchmarks: 41.5 versus 20.6 in the Noometry coding category.

Which has the bigger context window?

DeepSeek-V3.1-Terminus does, with 164K tokens against 60K.

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

10 benchmarks have published results for both models. DeepSeek-V3.1-Terminus has 16 scored results on Noometry and Llama 3.2 1B has 22.