Model comparison

DeepSeek V4 Flash vs Llama2 70b Steerlm Chat

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.2 on the Noometry Index.

Last verified . 9 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #32 Confirmed

Llama2 70b Steerlm Chat NVIDIA

31.2

Rank #265 Confirmed

Summary

  • They share 9 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and Llama2 70b Steerlm Chat in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 19.1.

Side by side

DeepSeek V4 Flash and Llama2 70b Steerlm Chat specifications
DeepSeek V4 FlashLlama2 70b Steerlm Chat
ProviderDeepSeekNVIDIA
Noometry Index53.631.2
Released2026-04-24—
WeightsOpenOpen
Context window1M—
Max output393K—
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked419

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.6 (#56), Llama2 70b Steerlm Chat: 29.3 (#295)

Coding benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Coding14571025
FrontierCode18.8%—
LMArena WebDev1581—
SciCode49.9%—
WeirdML63%—
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#25), Llama2 70b Steerlm Chat: 19.1 (#245)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Hard Prompts14431047
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—
Epoch Capabilities Index154.51—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.0 (#31), Llama2 70b Steerlm Chat: 28.8 (#223)

Math benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Math14271072
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—

Knowledge Not comparable

DeepSeek V4 Flash: 55.5 (#43), Llama2 70b Steerlm Chat: —

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
GPQA Diamond91%—
SimpleQA Verified33.6%—
LMArena Expert1441—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.2 (#71), Llama2 70b Steerlm Chat: 28.9 (#265)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Non-English14201064
LMArena Chinese1467—
LMArena French1438—
LMArena German1418—
LMArena Japanese1403—
LMArena Korean1383—
LMArena Russian1428—
LMArena Spanish1437—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 75.1 (#76), Llama2 70b Steerlm Chat: 54.5 (#274)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Instruction Following14211061

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#81), Llama2 70b Steerlm Chat: 30.4 (#283)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Longer Query1435998

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 64.0 (#59), Llama2 70b Steerlm Chat: 31.8 (#278)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashLlama2 70b Steerlm Chat
LMArena Text14321098
LMArena Creative Writing14031091
LMArena Multi-Turn14491058
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Llama2 70b Steerlm Chat?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 31.2 on the Noometry Index.

Is DeepSeek V4 Flash or Llama2 70b Steerlm Chat better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.6 versus 29.3 in the Noometry coding category.

How many benchmarks do DeepSeek V4 Flash and Llama2 70b Steerlm Chat share?

9 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Llama2 70b Steerlm Chat has 9.

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