Noometry

Model comparison

DeepSeek V4.1 Flash vs GLM-4.5-Air

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.9 on the Noometry Index.

Last verified . 17 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GLM-4.5-Air Z.ai (Zhipu)

38.9

Rank #177 Confirmed

Summary

  • They share 17 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-4.5-Air in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 36.2.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.20 / $1.10 for GLM-4.5-Air.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 FlashGLM-4.5-Air
ProviderDeepSeekZ.ai (Zhipu)
Noometry Index52.838.9
Released2026-09-092025-07-20
WeightsOpenOpen
Context window1M131K
Max output393K98K
Input $ / M tokens$0.15$0.20
Output $ / M tokens$0.60$1.10
Results tracked3727

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-4.5-Air: 33.3 (#259)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Coding15061397
LMArena WebDev1619—
SciCode51.9%—
GSO—2.9%
ALE-Bench1,092—

Agentic & Tool Use Not comparable

DeepSeek V4.1 Flash: 31.2 (#69), GLM-4.5-Air: —

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
APEX-Agents39.5%—
GDP.pdf19.8%—

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-4.5-Air: 24.1 (#166)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Hard Prompts14831379
Kagi LLM Benchmark—43%
NYT Connections (extended)89.6%—
CritPt14.3%—
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—
Epoch Capabilities Index154.9—
ForecastBench—59.2

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GLM-4.5-Air: 36.2 (#170)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Math14771396
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—
Omni-MATH—39.1%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-4.5-Air: 35.0 (#191)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Expert15061370
GPQA Diamond89.8%—
Humanity's Last Exam—8.1%
MMLU-Pro—76.2%
Vectara Hallucination Rate—9.3%
GPQA (HELM)—59.4%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GLM-4.5-Air: —

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GLM-4.5-Air: 49.1 (#135)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Non-English14481366
LMArena Chinese14971426
LMArena French14521399
LMArena German14841377
LMArena Japanese14121348
LMArena Korean14521308
LMArena Russian14711373
LMArena Spanish14591386

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-4.5-Air: 69.6 (#171)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Instruction Following14741354
IFEval—81.2%

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GLM-4.5-Air: 41.6 (#135)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Longer Query14751366

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-4.5-Air: 55.9 (#139)

BenchmarkDeepSeek V4.1 FlashGLM-4.5-Air
LMArena Text14621384
LMArena Creative Writing14351343
LMArena Multi-Turn14571371
EQ-Bench Creative Writing1540—
WildBench—78.9%

Frequently asked questions

Is DeepSeek V4.1 Flash better than GLM-4.5-Air?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 38.9 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GLM-4.5-Air?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-4.5-Air lists at $0.20 and $1.10.

Is DeepSeek V4.1 Flash or GLM-4.5-Air better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 33.3 in the Noometry coding category.

Which has the bigger context window?

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

How many benchmarks do DeepSeek V4.1 Flash and GLM-4.5-Air share?

17 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-4.5-Air has 27.

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