Model comparison

DeepSeek V4 Flash vs Llama 3.2 3B

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 28.9 on the Noometry Index. Llama 3.2 3B costs 2.2× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.

Last verified October 10, 2026. 14 shared benchmarks.

DeepSeek V4 Flash

DeepSeek

53.6

Rank #35 Confirmed

Llama 3.2 3B

Summary

They share 14 benchmarks with published results for both. DeepSeek V4 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 Flash leads 63.8 to 24.7.
Llama 3.2 3B is cheaper at $0.05 / $0.33 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
DeepSeek V4 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4 Flash and Llama 3.2 3B specifications
	DeepSeek V4 Flash	Llama 3.2 3B
Provider	DeepSeek	Meta
Noometry Index	53.6	28.9
Released	2026-04-24	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	41	18

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Llama 3.2 3B: 27.6 (#319)

Coding benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Coding	1457	1098
FrontierCode	18.8%	—
LMArena WebDev	1582	—
SciCode	49.9%	—
WeirdML	63%	—
BigCodeBench Instruct	—	23.4%
BigCodeBench Complete	—	28.3%
ALE-Bench	1,306	—

Agentic & Tool Use Not comparable

DeepSeek V4 Flash: —, Llama 3.2 3B: 20.1 (#143)

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

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Llama 3.2 3B: 21.0 (#228)

Reasoning benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Hard Prompts	1444	1095
ARC-AGI-2	61.4%	—
SimpleBench	61.1%	—
Kagi LLM Benchmark	52.2%	—
NYT Connections (extended)	89.6%	—
ARC-AGI-1	89%	—
CritPt	16.6%	—
Chess Puzzles	33%	—
Mystery Game Puzzles	34%	—
DTBench	90.9%	—
LMCA	41.7%	—
Epoch Capabilities Index	154.49	—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), Llama 3.2 3B: 32.4 (#214)

Math benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Math	1427	1126
FrontierMath (Tiers 1-3)	57.5%	—
FrontierMath Tier 4	24.4%	—
MathArena Final-Answer Competitions	76.5%	—
OTIS Mock AIME 2024-2025	94.4%	—
ProofBench	56%	—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Llama 3.2 3B: 29.7 (#235)

Knowledge benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Expert	1441	1090
GPQA Diamond	91%	—
SimpleQA Verified	33.6%	—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Llama 3.2 3B: 26.2 (#281)

Multilingual benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Non-English	1420	1019
LMArena Chinese	1468	1017
LMArena German	1418	1056
LMArena Russian	1428	949
LMArena French	1439	—
LMArena Japanese	1406	—
LMArena Korean	1384	—
LMArena Spanish	1436	—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Llama 3.2 3B: 56.0 (#275)

Instruction Following benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Instruction Following	1421	1089

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Llama 3.2 3B: 33.4 (#261)

Long Context benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Longer Query	1434	1100

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Llama 3.2 3B: 24.7 (#307)

Writing & Preference benchmarks
Benchmark	DeepSeek V4 Flash	Llama 3.2 3B
LMArena Text	1432	1110
LMArena Creative Writing	1403	1094
EQ-Bench Creative Writing	1559	595
LMArena Multi-Turn	1449	1105

Frequently asked questions

Is DeepSeek V4 Flash better than Llama 3.2 3B?

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

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

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 27.6 in the Noometry coding category.

Which has the bigger context window?

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

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

14 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama 3.2 3B has 18.