Noometry

Model comparison

DeepSeek V4 Flash vs Nova Premier 1.0

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 38.3 on the Noometry Index.

Last verified . 1 shared benchmarks.

DeepSeek V4 Flash DeepSeek

53.6

Rank #35 Confirmed

Nova Premier 1.0 Amazon

38.3

Rank #189 Confirmed

Summary

  • They share 1 benchmark with published results for both. DeepSeek V4 Flash scores higher in 5 categories and Nova Premier 1.0 in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4 Flash leads 53.7 to 23.0.
  • The biggest single-benchmark swing is Kagi LLM Benchmark: 52.2% for DeepSeek V4 Flash and 44.8% for Nova Premier 1.0.
  • DeepSeek V4 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $2.50 / $12.50 for Nova Premier 1.0.
  • DeepSeek V4 Flash has downloadable open weights; the other is API-only.

Side by side

DeepSeek V4 FlashNova Premier 1.0
ProviderDeepSeekAmazon
Noometry Index53.638.3
Released2026-04-242025-04-30
WeightsOpenProprietary
Context window1M1M
Max output393K10K
Input $ / M tokens$0.15$2.50
Output $ / M tokens$0.60$12.50
Results tracked416

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Category by category

Coding Not comparable

DeepSeek V4 Flash: 47.9 (#59), Nova Premier 1.0: —

BenchmarkDeepSeek V4 FlashNova Premier 1.0
FrontierCode18.8%—
LMArena WebDev1582—
SciCode49.9%—
WeirdML63%—
LMArena Coding1457—
ALE-Bench1,306—

Reasoning DeepSeek V4 Flash leads

DeepSeek V4 Flash: 53.7 (#30), Nova Premier 1.0: 23.0 (#185)

BenchmarkDeepSeek V4 FlashNova Premier 1.0
Kagi LLM Benchmark52.2%44.8%
ARC-AGI-261.4%—
SimpleBench61.1%—
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), Nova Premier 1.0: 33.8 (#199)

BenchmarkDeepSeek V4 FlashNova Premier 1.0
FrontierMath (Tiers 1-3)57.5%—
FrontierMath Tier 424.4%—
MathArena Final-Answer Competitions76.5%—
OTIS Mock AIME 2024-202594.4%—
ProofBench56%—
Omni-MATH—35%
LMArena Math1427—

Knowledge DeepSeek V4 Flash leads

DeepSeek V4 Flash: 55.4 (#48), Nova Premier 1.0: 35.8 (#180)

BenchmarkDeepSeek V4 FlashNova Premier 1.0
GPQA Diamond91%—
SimpleQA Verified33.6%—
MMLU-Pro—72.6%
GPQA (HELM)—51.8%
LMArena Expert1441—

Multilingual Not comparable

DeepSeek V4 Flash: 53.0 (#72), Nova Premier 1.0: —

BenchmarkDeepSeek V4 FlashNova Premier 1.0
LMArena Non-English1420—
LMArena Chinese1468—
LMArena French1439—
LMArena German1418—
LMArena Japanese1406—
LMArena Korean1384—
LMArena Russian1428—
LMArena Spanish1436—

Instruction Following DeepSeek V4 Flash leads

DeepSeek V4 Flash: 74.9 (#81), Nova Premier 1.0: 66.8 (#204)

BenchmarkDeepSeek V4 FlashNova Premier 1.0
IFEval—80.3%
LMArena Instruction Following1421—

Long Context Not comparable

DeepSeek V4 Flash: 43.8 (#85), Nova Premier 1.0: —

BenchmarkDeepSeek V4 FlashNova Premier 1.0
LMArena Longer Query1434—

Writing & Preference DeepSeek V4 Flash leads

DeepSeek V4 Flash: 63.8 (#61), Nova Premier 1.0: 51.0 (#178)

BenchmarkDeepSeek V4 FlashNova Premier 1.0
LMArena Text1432—
LMArena Creative Writing1403—
EQ-Bench Creative Writing1559—
WildBench—78.8%
LMArena Multi-Turn1449—

Frequently asked questions

Is DeepSeek V4 Flash better than Nova Premier 1.0?

DeepSeek V4 Flash is the stronger model overall, scoring 53.6 to 38.3 on the Noometry Index.

Which is cheaper, DeepSeek V4 Flash or Nova Premier 1.0?

DeepSeek V4 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; Nova Premier 1.0 lists at $2.50 and $12.50.

Which has the bigger context window?

Both accept 1M tokens.

How many benchmarks do DeepSeek V4 Flash and Nova Premier 1.0 share?

1 benchmark has published results for both models. DeepSeek V4 Flash has 41 scored results on Noometry and Nova Premier 1.0 has 6.

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