Noometry

Model comparison

DeepSeek V4.1 Flash vs GLM-4.6

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.4 on the Noometry Index.

Last verified . 22 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Summary

  • They share 22 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-4.6 in 1 category; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 39.1.
  • The biggest single-benchmark swing is SciCode: 51.9% for DeepSeek V4.1 Flash and 38.4% for GLM-4.6.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 205K.

Side by side

DeepSeek V4.1 FlashGLM-4.6
ProviderDeepSeekZ.ai (Zhipu)
Noometry Index52.841.4
Released2026-09-092025-09-30
WeightsOpenOpen
Context window1M205K
Max output393K131K
Input $ / M tokens$0.15$0.60
Output $ / M tokens$0.60$2.20
Results tracked3729

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-4.6: 40.1 (#148)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena WebDev16191340
SciCode51.9%38.4%
LMArena Coding15061449
ALE-Bench1,092340.82
SWE-bench Verified (bash only)—55.4%

Agentic & Tool Use GLM-4.6 leads

DeepSeek V4.1 Flash: 31.2 (#69), GLM-4.6: 32.3 (#66)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
Terminal-Bench—24.5%
APEX-Agents39.5%—
Berkeley Function Calling Leaderboard—72.4%
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-4.6: 23.7 (#172)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
CritPt14.3%1.1%
LMArena Hard Prompts14831440
Kagi LLM Benchmark—47.4%
NYT Connections (extended)89.6%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GLM-4.6: 39.1 (#111)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Math14771432
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
FrontierMath (Feb 2025 set)—3.8%
FrontierMath Tier 4 (v1)—2.1%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-4.6: 40.2 (#124)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Expert15061431
GPQA Diamond89.8%—
Vectara Hallucination Rate—9.5%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GLM-4.6: —

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GLM-4.6: 53.5 (#66)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Non-English14481426
LMArena Chinese14971499
LMArena French14521459
LMArena German14841447
LMArena Japanese14121393
LMArena Korean14521400
LMArena Russian14711419
LMArena Spanish14591436

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-4.6: 74.3 (#98)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Instruction Following14741410

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GLM-4.6: 43.4 (#94)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Longer Query14751422

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-4.6: 61.1 (#90)

BenchmarkDeepSeek V4.1 FlashGLM-4.6
LMArena Text14621440
LMArena Creative Writing14351411
EQ-Bench Creative Writing15401411
LMArena Multi-Turn14571427

Frequently asked questions

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

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 41.4 on the Noometry Index.

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

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

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

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 205K.

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

22 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-4.6 has 29.

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