Noometry

Model comparison

DeepSeek V4.1 Flash vs GLM-4.5

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.0 on the Noometry Index.

Last verified . 19 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Summary

  • They share 19 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-4.5 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 39.0.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 131K.

Side by side

DeepSeek V4.1 FlashGLM-4.5
ProviderDeepSeekZ.ai (Zhipu)
Noometry Index52.842.0
Released2026-09-092025-07-27
WeightsOpenOpen
Context window1M131K
Max output393K98K
Input $ / M tokens$0.15$0.60
Output $ / M tokens$0.60$2.20
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: 41.4 (#125)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Coding15061434
ALE-Bench1,092344.82
SWE-bench Verified (bash only)—54.2%
LMArena WebDev1619—
SciCode51.9%—
WeirdML—40.6%
AlgoTune—1.52

Agentic & Tool Use Not comparable

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

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

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-4.5: 28.6 (#100)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Hard Prompts14831429
Kagi LLM Benchmark—57.9%
NYT Connections (extended)89.6%—
CritPt14.3%—
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-4.5: 39.0 (#116)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Math14771427
FrontierMath (Tiers 1-3)67.4%—
FrontierMath Tier 426.8%—
OTIS Mock AIME 2024-202598.3%—
ProofBench54%—

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-4.5: 35.9 (#179)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Expert15061433
GPQA Diamond89.8%—
Humanity's Last Exam—8.3%
Confabulations—11.3%

Multimodal Not comparable

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

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

Multilingual DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 55.0 (#35), GLM-4.5: 52.8 (#77)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Non-English14481417
LMArena Chinese14971465
LMArena French14521418
LMArena German14841407
LMArena Japanese14121415
LMArena Korean14521380
LMArena Russian14711414
LMArena Spanish14591454

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-4.5: 74.1 (#104)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Instruction Following14741404

Long Context DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 45.2 (#47), GLM-4.5: 38.2 (#201)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Longer Query14751412
Fiction.LiveBench—58.3%

Writing & Preference DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-4.5: 57.5 (#127)

BenchmarkDeepSeek V4.1 FlashGLM-4.5
LMArena Text14621430
LMArena Creative Writing14351395
EQ-Bench Creative Writing15401343
LMArena Multi-Turn14571415
Short-Story Creative Writing—73.4%

Frequently asked questions

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

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 42.0 on the Noometry Index.

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

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 lists at $0.60 and $2.20.

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

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 41.4 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 share?

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

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