Model comparison

DeepSeek V4 Flash vs Granite 4.2 8B

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 40.5 on the Noometry Index. Granite 4.2 8B costs 2.4× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.

Last verified . 11 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Granite 4.2 8B IBM

40.5

Rank #148 Confirmed

Summary

  • They share 11 benchmarks with published results for both. DeepSeek V4 Flash scores higher in 7 categories and Granite 4.2 8B in 0 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 26.6.
  • Granite 4.2 8B is cheaper at $0.06 / $0.25 per million input/output tokens, against $0.15 / $0.60 for DeepSeek V4 Flash.
  • DeepSeek V4 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4 Flash and Granite 4.2 8B specifications
DeepSeek V4 FlashGranite 4.2 8B
ProviderDeepSeekIBM
Noometry Index53.640.5
Released2026-04-24—
WeightsOpenOpen
Context window1M131K
Max output393K118K
Input $ / M tokens$0.15$0.06
Output $ / M tokens$0.60$0.25
Results tracked4111

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Category by category

Coding DeepSeek V4 Flash leads

DeepSeek V4 Flash: 47.9 (#59), Granite 4.2 8B: 40.5 (#137)

Coding benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Coding14571380
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Granite 4.2 8B: 26.6 (#131)

Reasoning benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Hard Prompts14441329
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 Index154.49—

Math Not comparable

DeepSeek V4 Flash: 60.3 (#37), Granite 4.2 8B: —

Math benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
LMArena Math1427—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Granite 4.2 8B: 38.4 (#145)

Knowledge benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Expert14411384
GPQA Diamond91%—
SimpleQA Verified33.6%—

Multilingual DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.0 (#72), Granite 4.2 8B: 44.5 (#178)

Multilingual benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Non-English14201302
LMArena Chinese14681366
LMArena Russian14281285
LMArena French1439—
LMArena German1418—
LMArena Japanese1406—
LMArena Korean1384—
LMArena Spanish1436—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Granite 4.2 8B: 68.7 (#184)

Instruction Following benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Instruction Following14211301

Long Context DeepSeek V4 Flash leads

DeepSeek V4 Flash: 43.8 (#85), Granite 4.2 8B: 40.3 (#159)

Long Context benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Longer Query14341324

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Granite 4.2 8B: 49.6 (#189)

Writing & Preference benchmarks
BenchmarkDeepSeek V4 FlashGranite 4.2 8B
LMArena Text14321320
LMArena Creative Writing14031236
LMArena Multi-Turn14491301
EQ-Bench Creative Writing1559—

Frequently asked questions

Is DeepSeek V4 Flash better than Granite 4.2 8B?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 40.5 on the Noometry Index. Granite 4.2 8B costs 2.4× less per token, which makes it the better buy when DeepSeek V4 Flash's lead doesn't matter for your workload.

Which is cheaper, DeepSeek V4 Flash or Granite 4.2 8B?

Granite 4.2 8B is cheaper. It lists at $0.06 per million input tokens and $0.25 per million output tokens; DeepSeek V4 Flash lists at $0.15 and $0.60.

Is DeepSeek V4 Flash or Granite 4.2 8B better for coding?

DeepSeek V4 Flash scores higher on coding benchmarks: 47.9 versus 40.5 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4 Flash does, with 1M tokens against 131K.

How many benchmarks do DeepSeek V4 Flash and Granite 4.2 8B share?

11 benchmarks have published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Granite 4.2 8B has 11.

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