Model comparison

DeepSeek V4.1 Flash vs Llama 3.2 3B

DeepSeek V4.1 Flash is the stronger model overall, scoring 50.3 to 28.4 on the Noometry Index. Llama 3.2 3B costs 2.2× less per token, which makes it the better buy when DeepSeek V4.1 Flash's lead doesn't matter for your workload.

Last verified October 10, 2026. 13 shared benchmarks.

DeepSeek V4.1 Flash

DeepSeek

50.3

Rank #40 Confirmed

Llama 3.2 3B

Summary

They share 13 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and Llama 3.2 3B in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where DeepSeek V4.1 Flash leads 65.8 to 24.9.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4.1 Flash.
DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 Flash and Llama 3.2 3B specifications
	DeepSeek V4.1 Flash	Llama 3.2 3B
Provider	DeepSeek	Meta
Noometry Index	50.3	28.4
Released	2026-09-09	2024-09-24
Weights	Open	Open
Context window	1M	131K
Max output	393K	118K
Input $ / M tokens	$0.15	$0.05
Output $ / M tokens	$0.60	$0.33
Results tracked	25	18

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.8 (#29), Llama 3.2 3B: 27.1 (#314)

Coding benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Coding	1511	1098
LMArena WebDev	1620	—
SciCode	51.9%	—
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%
ALE-Bench	1,092	—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: —, Llama 3.2 3B: 19.9 (#135)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
Berkeley Function Calling Leaderboard	—	21.9%
BALROG	—	10.1%

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 46.2 (#39), Llama 3.2 3B: 20.1 (#225)

Reasoning benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Hard Prompts	1485	1095
NYT Connections (extended)	89.6%	—
CritPt	14.3%	—
DTBench	89.9%	—
LMCA	47%	—
Surface Evolver Bench	46.3%	—
Epoch Capabilities Index	155.01	—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 48.4 (#52), Llama 3.2 3B: 29.9 (#213)

Math benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Math	1493	1126
ProofBench	54%	—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 41.6 (#97), Llama 3.2 3B: 29.1 (#232)

Knowledge benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Expert	1505	1090

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.5 (#29), Llama 3.2 3B: 26.4 (#276)

Multilingual benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Non-English	1452	1019
LMArena Chinese	1506	1017
LMArena Russian	1473	949
LMArena French	1448	—
LMArena German	—	1056
LMArena Spanish	1499	—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.6 (#24), Llama 3.2 3B: 56.3 (#270)

Instruction Following benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Instruction Following	1475	1089

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#46), Llama 3.2 3B: 33.4 (#256)

Long Context benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Longer Query	1476	1101

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.8 (#43), Llama 3.2 3B: 24.9 (#302)

Writing & Preference benchmarks
Benchmark	DeepSeek V4.1 Flash	Llama 3.2 3B
LMArena Text	1465	1110
LMArena Creative Writing	1436	1094
EQ-Bench Creative Writing	1540	595
LMArena Multi-Turn	1460	1105

Frequently asked questions

Is DeepSeek V4.1 Flash better than Llama 3.2 3B?

Which is cheaper, DeepSeek V4.1 Flash 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 V4.1 Flash lists at $0.15 and $0.60.

Is DeepSeek V4.1 Flash or Llama 3.2 3B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.8 versus 27.1 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 131K.

How many benchmarks do DeepSeek V4.1 Flash and Llama 3.2 3B share?

13 benchmarks have published results for both models. DeepSeek V4.1 Flash has 25 scored results on Noometry and Llama 3.2 3B has 18.