Noometry

Model comparison

DeepSeek V4 Flash vs WizardLM-2 8x22B

DeepSeek V4 Flash has enough public results to be ranked (#35); WizardLM-2 8x22B does not yet, so treat this comparison as directional.

Last verified . 1 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

WizardLM-2 8x22B Microsoft

31.4

Unranked Sparse

Summary

  • They share 1 benchmark with published results for both. DeepSeek V4 Flash scores higher in 2 categories and WizardLM-2 8x22B in 0 categories; 2 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where DeepSeek V4 Flash leads 55.4 to 23.3.
  • The biggest single-benchmark swing is GPQA Diamond: 91% for DeepSeek V4 Flash and 43.4% for WizardLM-2 8x22B.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.62 / $0.62 for WizardLM-2 8x22B.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 66K.

Side by side

DeepSeek V4 FlashWizardLM-2 8x22B
ProviderDeepSeekMicrosoft
Noometry Index53.631.4
Released2026-04-242024-04-15
WeightsOpenOpen
Context window1M66K
Max output393K8K
Input $ / M tokens$0.15$0.62
Output $ / M tokens$0.60$0.62
Results tracked412

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Category by category

Coding Not comparable

DeepSeek V4 Flash: 47.9 (#59), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
LMArena Coding1457—
ALE-Bench1,306—

Reasoning Not comparable

DeepSeek V4 Flash: 53.7 (#30), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
ARC-AGI-261.4%—
SimpleBench61.1%—
Kagi LLM Benchmark52.2%—
NYT Connections (extended)89.6%—
ARC-AGI-189%—
CritPt16.6%—
Chess Puzzles33%—
LMArena Hard Prompts1444—
Mystery Game Puzzles34%—
DTBench90.9%—
LMCA41.7%—
Epoch Capabilities Index154.49—

Math DeepSeek V4 Flash leads

DeepSeek V4 Flash: 60.3 (#37), WizardLM-2 8x22B: 28.9

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
LMArena Math1427—
MATH Level 5—25.7%

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), WizardLM-2 8x22B: 23.3

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
GPQA Diamond91%43.4%
SimpleQA Verified33.6%—
LMArena Expert1441—

Multilingual Not comparable

DeepSeek V4 Flash: 53.0 (#72), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
LMArena Non-English1420—
LMArena Chinese1468—
LMArena French1439—
LMArena German1418—
LMArena Japanese1406—
LMArena Korean1384—
LMArena Russian1428—
LMArena Spanish1436—

Instruction Following Not comparable

DeepSeek V4 Flash: 74.9 (#81), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
LMArena Instruction Following1421—

Long Context Not comparable

DeepSeek V4 Flash: 43.8 (#85), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
LMArena Longer Query1434—

Writing & Preference Not comparable

DeepSeek V4 Flash: 63.8 (#61), WizardLM-2 8x22B: —

BenchmarkDeepSeek V4 FlashWizardLM-2 8x22B
LMArena Text1432—
LMArena Creative Writing1403—
EQ-Bench Creative Writing1559—
LMArena Multi-Turn1449—

Frequently asked questions

Is DeepSeek V4 Flash better than WizardLM-2 8x22B?

DeepSeek V4 Flash has enough public results to be ranked (#35); WizardLM-2 8x22B does not yet, so treat this comparison as directional.

Which is cheaper, DeepSeek V4 Flash or WizardLM-2 8x22B?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; WizardLM-2 8x22B lists at $0.62 and $0.62.

Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 66K.

How many benchmarks do DeepSeek V4 Flash and WizardLM-2 8x22B share?

1 benchmark has published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and WizardLM-2 8x22B has 2.

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