Noometry

Model comparison

DeepSeek V4.1 Flash vs Laguna M.1

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 32.5 on the Noometry Index.

Last verified . 3 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

Laguna M.1 Poolside

32.5

Rank #256 Reported

Summary

  • They share 3 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 3 categories and Laguna M.1 in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 21.1.
  • The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 0% for Laguna M.1.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 262K.

Side by side

DeepSeek V4.1 FlashLaguna M.1
ProviderDeepSeekPoolside
Noometry Index52.832.5
Released2026-09-092026-04-28
WeightsOpenOpen
Context window1M262K
Max output393K33K
Input $ / M tokens$0.15—
Output $ / M tokens$0.60—
Results tracked373

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), Laguna M.1: 36.6 (#204)

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena WebDev16191349
SciCode51.9%—
LMArena Coding1506—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), Laguna M.1: 23.1 (#184)

BenchmarkDeepSeek V4.1 FlashLaguna M.1
Surface Evolver Bench46.3%15.6%
NYT Connections (extended)89.6%—
CritPt14.3%—
LMArena Hard Prompts1483—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Epoch Capabilities Index154.9—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), Laguna M.1: 21.1 (#283)

BenchmarkDeepSeek V4.1 FlashLaguna M.1
ProofBench54%0%
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
LMArena Math1477—

Knowledge Not comparable

DeepSeek V4.1 Flash: 57.9 (#38), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
GPQA Diamond89.8%—
LMArena Expert1506—

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Not comparable

DeepSeek V4.1 Flash: 55.0 (#35), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena Non-English1448—
LMArena Chinese1497—
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Russian1471—
LMArena Spanish1459—

Instruction Following Not comparable

DeepSeek V4.1 Flash: 77.3 (#26), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena Instruction Following1474—

Long Context Not comparable

DeepSeek V4.1 Flash: 45.2 (#47), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena Longer Query1475—

Writing & Preference Not comparable

DeepSeek V4.1 Flash: 65.4 (#48), Laguna M.1: —

BenchmarkDeepSeek V4.1 FlashLaguna M.1
LMArena Text1462—
LMArena Creative Writing1435—
EQ-Bench Creative Writing1540—
LMArena Multi-Turn1457—

Frequently asked questions

Is DeepSeek V4.1 Flash better than Laguna M.1?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 32.5 on the Noometry Index.

Is DeepSeek V4.1 Flash or Laguna M.1 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 36.6 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 262K.

How many benchmarks do DeepSeek V4.1 Flash and Laguna M.1 share?

3 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and Laguna M.1 has 3.

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