Model comparison

DeepSeek-V3.2-Speciale vs Llama 3.1-70B

DeepSeek-V3.2-Speciale is the stronger model overall, scoring 39.7 to 29.6 on the Noometry Index. Llama 3.1-70B costs 2.1× 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. 2 shared benchmarks.

DeepSeek-V3.2-Speciale

DeepSeek

39.7

Rank #162 Reported

Llama 3.1-70B

Summary

They share 2 benchmarks with published results for both. DeepSeek-V3.2-Speciale scores higher in 3 categories and Llama 3.1-70B in 0 categories; 3 gaps are clear of the uncertainty.
The widest gap is in reasoning, where DeepSeek-V3.2-Speciale leads 32.9 to 21.6.
The biggest single-benchmark swing is WeirdML: 46.7% for DeepSeek-V3.2-Speciale and 9% for Llama 3.1-70B.
Llama 3.1-70B is cheaper at $0.40 / $0.40 per million input/output tokens, against $0.58 / $1.68 for DeepSeek-V3.2-Speciale.

Side by side

DeepSeek-V3.2-Speciale and Llama 3.1-70B specifications
	DeepSeek-V3.2-Speciale	Llama 3.1-70B
Provider	DeepSeek	Meta
Noometry Index	39.7	29.6
Released	2025-12-01	2024-07-23
Weights	Open	Open
Context window	128K	128K
Max output	128K	4K
Input $ / M tokens	$0.58	$0.40
Output $ / M tokens	$1.68	$0.40
Results tracked	3	35

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Category by category

Coding DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 40.4 (#140), Llama 3.1-70B: 30.3 (#296)

Coding benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
WeirdML	46.7%	9%
BigCodeBench Instruct	—	46.1%
LMArena Coding	—	1260
BigCodeBench Complete	—	54.8%

Agentic & Tool Use Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 25.1 (#112)

Agentic & Tool Use benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
TheAgentCompany	—	6.9%
BALROG	—	27.9%

Reasoning DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 32.9 (#73), Llama 3.1-70B: 21.6 (#220)

Reasoning benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
SimpleBench	52.6%	—
LMArena Hard Prompts	—	1241
DTBench	—	60%
LMCA	—	14.8%
Epoch Capabilities Index	—	125.92

Math Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 13.5 (#304)

Math benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
OTIS Mock AIME 2024-2025	—	3.6%
Omni-MATH	—	21%
LMArena Math	—	1252
MATH Level 5	—	36.7%

Knowledge Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 24.2 (#269)

Knowledge benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
GPQA Diamond	—	44.2%
MMLU-Pro	—	65.3%
GPQA (HELM)	—	42.6%
LMArena Expert	—	1209
MMLU	—	80.1%

Multilingual Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 38.8 (#225)

Multilingual benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
LMArena Non-English	—	1219
LMArena Chinese	—	1215
LMArena French	—	1261
LMArena German	—	1222
LMArena Japanese	—	1132
LMArena Korean	—	1140
LMArena Russian	—	1234
LMArena Spanish	—	1253

Instruction Following Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 65.3 (#223)

Instruction Following benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
IFEval	—	82.1%
LMArena Instruction Following	—	1231

Long Context Not comparable

DeepSeek-V3.2-Speciale: —, Llama 3.1-70B: 37.6 (#214)

Long Context benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
LMArena Longer Query	—	1241

Writing & Preference DeepSeek-V3.2-Speciale leads

DeepSeek-V3.2-Speciale: 46.0 (#222), Llama 3.1-70B: 35.4 (#267)

Writing & Preference benchmarks
Benchmark	DeepSeek-V3.2-Speciale	Llama 3.1-70B
EQ-Bench Creative Writing	1276	784
LMArena Text	—	1261
LMArena Creative Writing	—	1232
WildBench	—	75.8%
LMArena Multi-Turn	—	1256

Frequently asked questions

Is DeepSeek-V3.2-Speciale better than Llama 3.1-70B?

Which is cheaper, DeepSeek-V3.2-Speciale or Llama 3.1-70B?

Llama 3.1-70B is cheaper. It lists at $0.40 per million input tokens and $0.40 per million output tokens; DeepSeek-V3.2-Speciale lists at $0.58 and $1.68.

Is DeepSeek-V3.2-Speciale or Llama 3.1-70B better for coding?

DeepSeek-V3.2-Speciale scores higher on coding benchmarks: 40.4 versus 30.3 in the Noometry coding category.

Which has the bigger context window?

Both accept 128K tokens.

How many benchmarks do DeepSeek-V3.2-Speciale and Llama 3.1-70B share?

2 benchmarks have published results for both models. DeepSeek-V3.2-Speciale has 3 scored results on Noometry and Llama 3.1-70B has 35.