Noometry

Model comparison

DeepSeek V4.1 Flash vs Llama 3-70B

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 28.8 on the Noometry Index.

Last verified . 21 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Llama 3-70B Meta

28.8

Rank #323 Confirmed

Summary

  • They share 21 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 9 categories and Llama 3-70B in 0 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 12.8.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 98.3% for DeepSeek V4.1 Flash and 4.3% for Llama 3-70B.

Side by side

DeepSeek V4.1 FlashLlama 3-70B
ProviderDeepSeekMeta
Noometry Index52.828.8
Released2026-09-092024-04-18
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked3731

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Llama 3-70B: 35.8 (#218)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Coding15061206
LMArena WebDev1619—
SciCode51.9%—
BigCodeBench Instruct—43.6%
BigCodeBench Complete—54.5%
ALE-Bench1,092—
HumanEval+—72%
MBPP+—69%

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), Llama 3-70B: 21.1 (#139)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
APEX-Agents39.5%—
Cybench—5%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Llama 3-70B: 18.0 (#288)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Hard Prompts14831195
DTBench89.9%54.2%
Epoch Capabilities Index154.9122.93
Kagi LLM Benchmark—35.1%
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
LMCA47%—
Surface Evolver Bench46.3%—
ForecastBench—57.1
WinoGrande—83.5%

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Llama 3-70B: 12.8 (#305)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
OTIS Mock AIME 2024-202598.3%4.3%
LMArena Math14771218
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
ProofBench54%—
MATH Level 5—22.6%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), Llama 3-70B: 20.8 (#277)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
GPQA Diamond89.8%40.6%
LMArena Expert15061149
MMLU—79.3%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Llama 3-70B: —

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), Llama 3-70B: 33.6 (#251)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Non-English14481142
LMArena Chinese14971114
LMArena French14521232
LMArena German14841169
LMArena Japanese14121017
LMArena Korean14521017
LMArena Russian14711159
LMArena Spanish14591241

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), Llama 3-70B: 62.5 (#238)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Instruction Following14741194

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), Llama 3-70B: 35.6 (#240)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Longer Query14751174

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), Llama 3-70B: 42.8 (#231)

BenchmarkDeepSeek V4.1 FlashLlama 3-70B
LMArena Text14621221
LMArena Creative Writing14351210
LMArena Multi-Turn14571223
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Llama 3-70B?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 28.8 on the Noometry Index.

Is DeepSeek V4.1 Flash or Llama 3-70B better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 35.8 in the Noometry coding category.

How many benchmarks do DeepSeek V4.1 Flash and Llama 3-70B share?

21 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Llama 3-70B has 31.

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