Model comparison

DeepSeek-V3 vs Llama 2-34B

DeepSeek-V3 has enough public results to be ranked (#157); Llama 2-34B does not yet, so treat this comparison as directional.

Last verified . 7 shared benchmarks.

DeepSeek-V3 DeepSeek

39.2

Rank #157 Confirmed

Llama 2-34B Meta

—

Unranked

Summary

  • They share 7 benchmarks with published results for both.
  • DeepSeek-V3 has downloadable open weights; the other is API-only.

Side by side

DeepSeek-V3 and Llama 2-34B specifications
DeepSeek-V3Llama 2-34B
ProviderDeepSeekMeta
Noometry Index39.2—
Released2024-12-262023-07-18
WeightsOpenProprietary
Context window164K—
Max output164K—
Input $ / M tokens$0.24—
Output $ / M tokens$0.90—
Results tracked6010

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Not comparable

DeepSeek-V3: 41.9 (#99), Llama 2-34B: —

Coding benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
Aider Polyglot55.1%—
SciCode35.8%—
WeirdML36.1%—
BigCodeBench Instruct50%—
LiveBench Coding70.9%—
LMArena Coding1368—
BigCodeBench Complete62.2%—
HumanEval+86.6%—
MBPP+73%—

Agentic & Tool Use Not comparable

DeepSeek-V3: —, Llama 2-34B: —

Agentic & Tool Use benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
METR Time Horizons49.6%—

Reasoning Not comparable

DeepSeek-V3: 20.0 (#226), Llama 2-34B: —

Reasoning benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
BIG-Bench Hard87.5%44.1%
Epoch Capabilities Index135.95104.81
PIQA84.7%81.9%
WinoGrande85.2%76.7%
SimpleBench27.2%—
Kagi LLM Benchmark52.3%—
CritPt0%—
LiveBench Reasoning65.8%—
LMArena Hard Prompts1365—
DTBench64.8%—
LiveBench Data Analysis60.9%—
LMCA15.5%—
ForecastBench59.1—
HellaSwag88.9%—
LiveBench66.9%—

Math Not comparable

DeepSeek-V3: 30.4 (#208), Llama 2-34B: —

Math benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
OTIS Mock AIME 2024-202537.8%—
Omni-MATH40.3%—
LiveBench Math73.5%—
LMArena Math1373—
MATH Level 575.5%—
FrontierMath (Feb 2025 set)1.7%—
GSM8K—42.2%

Knowledge Not comparable

DeepSeek-V3: 37.5 (#147), Llama 2-34B: —

Knowledge benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
ARC (AI2) Challenge95.3%54.5%
MMLU87.2%62.6%
TriviaQA82.9%84.6%
GPQA Diamond67.6%—
MMLU-Pro72.3%—
Confabulations26.1%—
Vectara Hallucination Rate6.1%—
GPQA (HELM)53.8%—
LMArena Expert1352—
BoolQ—83.7%
OpenBookQA—58.2%

Multilingual Not comparable

DeepSeek-V3: 48.8 (#138), Llama 2-34B: —

Multilingual benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
LMArena Non-English1358—
LMArena Chinese1390—
LMArena French1386—
LMArena German1374—
LMArena Japanese1333—
LMArena Korean1321—
LMArena Russian1372—
LMArena Spanish1358—

Instruction Following Not comparable

DeepSeek-V3: 73.0 (#125), Llama 2-34B: —

Instruction Following benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
LiveBench Instruction Following81.5%—
IFEval83.2%—
LMArena Instruction Following1345—

Long Context Not comparable

DeepSeek-V3: 34.0 (#248), Llama 2-34B: —

Long Context benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
Fiction.LiveBench50%—
LMArena Longer Query1353—

Writing & Preference Not comparable

DeepSeek-V3: 57.6 (#124), Llama 2-34B: —

Writing & Preference benchmarks
BenchmarkDeepSeek-V3Llama 2-34B
LMArena Text1375—
LMArena Creative Writing1364—
Short-Story Creative Writing77%—
EQ-Bench Creative Writing1472—
WildBench83%—
LMArena Multi-Turn1389—
LiveBench Language49.1%—

Frequently asked questions

Is DeepSeek-V3 better than Llama 2-34B?

DeepSeek-V3 has enough public results to be ranked (#157); Llama 2-34B does not yet, so treat this comparison as directional.

How many benchmarks do DeepSeek-V3 and Llama 2-34B share?

7 benchmarks have published results for both models. DeepSeek-V3 has 60 scored results on Noometry and Llama 2-34B has 10.

Related comparisons

Go deeper