Noometry

Model comparison

DeepSeek V4.1 Flash vs GLM-4.6V

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.3 on the Noometry Index.

Last verified . 12 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

Summary

  • They share 12 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-4.6V in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where DeepSeek V4.1 Flash leads 50.2 to 27.6.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.30 / $0.90 for GLM-4.6V.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 128K.

Side by side

DeepSeek V4.1 FlashGLM-4.6V
ProviderDeepSeekZ.ai (Zhipu)
Noometry Index52.841.3
Released2026-09-092025-12-08
WeightsOpenOpen
Context window1M128K
Max output393K33K
Input $ / M tokens$0.15$0.30
Output $ / M tokens$0.60$0.90
Results tracked3712

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-4.6V: 40.9 (#128)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Coding15061390
LMArena WebDev1619—
SciCode51.9%—
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), GLM-4.6V: —

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-4.6V: 27.6 (#115)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Hard Prompts14831368
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math Not comparable

DeepSeek V4.1 Flash: 66.7 (#25), GLM-4.6V: —

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
LMArena Math1477—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-4.6V: 38.0 (#149)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Expert15061371
GPQA Diamond89.8%—

Multimodal DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 39.1 (#61), GLM-4.6V: 34.8 (#90)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Vision12771164
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GLM-4.6V: 48.6 (#141)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Non-English14481359
LMArena Chinese14971425
LMArena Russian14711340
LMArena French1452—
LMArena German1484—
LMArena Japanese1412—
LMArena Korean1452—
LMArena Spanish1459—

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-4.6V: 71.4 (#151)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Instruction Following14741352

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GLM-4.6V: 41.3 (#143)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Longer Query14751358

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-4.6V: 56.6 (#137)

BenchmarkDeepSeek V4.1 FlashGLM-4.6V
LMArena Text14621377
LMArena Creative Writing14351347
LMArena Multi-Turn14571360
EQ-Bench Creative Writing1540—

Frequently asked questions

Is DeepSeek V4.1 Flash better than GLM-4.6V?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.3 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GLM-4.6V?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.6V lists at $0.30 and $0.90.

Is DeepSeek V4.1 Flash or GLM-4.6V better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 128K.

How many benchmarks do DeepSeek V4.1 Flash and GLM-4.6V share?

12 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-4.6V has 12.

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