Noometry

Model comparison

DeepSeek V4.1 Flash vs GLM-5.1

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 47.8 on the Noometry Index.

Last verified . 29 shared benchmarks.

DeepSeek V4.1 Flash DeepSeek

52.8

Rank #38 Confirmed

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Summary

  • They share 29 benchmarks with published results for both. DeepSeek V4.1 Flash scores higher in 8 categories and GLM-5.1 in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where DeepSeek V4.1 Flash leads 66.7 to 49.7.
  • The biggest single-benchmark swing is ProofBench: 54% for DeepSeek V4.1 Flash and 22.2% for GLM-5.1.
  • DeepSeek V4.1 Flash is cheaper at $0.15 / $0.60 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • DeepSeek V4.1 Flash accepts more context: 1M tokens versus 200K.

Side by side

DeepSeek V4.1 FlashGLM-5.1
ProviderDeepSeekZ.ai (Zhipu)
Noometry Index52.847.8
Released2026-09-092026-04-07
WeightsOpenOpen
Context window1M200K
Max output393K131K
Input $ / M tokens$0.15$1.40
Output $ / M tokens$0.60$4.40
Results tracked3741

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Category by category

Coding DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 52.9 (#32), GLM-5.1: 48.7 (#55)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena WebDev16191508
SciCode51.9%43.8%
LMArena Coding15061485
ALE-Bench1,092887.1
SWE-bench Verified—74.2%
WeirdML—57.1%

Agentic & Tool Use DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 31.2 (#69), GLM-5.1: 24.9 (#113)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
APEX-Agents39.5%40.9%
ExploitBench—18.1%
GBAEval—0%
GDP.pdf19.8%—
Vending-Bench 2—5,634

Reasoning DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 50.2 (#36), GLM-5.1: 39.1 (#60)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
NYT Connections (extended)89.6%77.7%
CritPt14.3%4.6%
LMArena Hard Prompts14831472
Epoch Capabilities Index154.9149.84
SimpleBench—55.1%
Chess Puzzles—19%
Thematic Generalization—69.8%
Mystery Game Puzzles43%—
DTBench89.9%—
LMCA47%—
Surface Evolver Bench46.3%—

Math DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 66.7 (#25), GLM-5.1: 49.7 (#60)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
FrontierMath (Tiers 1-3)67.4%36.8%
OTIS Mock AIME 2024-202598.3%93.3%
ProofBench54%22.2%
LMArena Math14771473
FrontierMath Tier 426.8%—
MathArena Final-Answer Competitions—67.1%
FrontierMath (Feb 2025 set)—33.4%
FrontierMath Tier 4 (v1)—12.5%

Knowledge DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 57.9 (#38), GLM-5.1: 54.9 (#50)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
GPQA Diamond89.8%89.9%
LMArena Expert15061476
SimpleQA Verified—34%

Multimodal Not comparable

DeepSeek V4.1 Flash: 39.1 (#61), GLM-5.1: —

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena Vision1277—
Furniture Assembly34.2%—

Multilingual Too close to call

DeepSeek V4.1 Flash: 55.0 (#35), GLM-5.1: 55.0 (#36)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena Non-English14481447
LMArena Chinese14971515
LMArena French14521474
LMArena German14841465
LMArena Japanese14121434
LMArena Korean14521418
LMArena Russian14711454
LMArena Spanish14591469

Instruction Following DeepSeek V4.1 Flash leads

DeepSeek V4.1 Flash: 77.3 (#26), GLM-5.1: 76.3 (#42)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena Instruction Following14741451

Long Context Too close to call

DeepSeek V4.1 Flash: 45.2 (#47), GLM-5.1: 44.9 (#53)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena Longer Query14751466

Writing & Preference GLM-5.1 leads

DeepSeek V4.1 Flash: 65.4 (#48), GLM-5.1: 66.9 (#31)

BenchmarkDeepSeek V4.1 FlashGLM-5.1
LMArena Text14621461
LMArena Creative Writing14351453
EQ-Bench Creative Writing15401592
LMArena Multi-Turn14571472

Frequently asked questions

Is DeepSeek V4.1 Flash better than GLM-5.1?

DeepSeek V4.1 Flash is the stronger model overall, scoring 52.8 to 47.8 on the Noometry Index.

Which is cheaper, DeepSeek V4.1 Flash or GLM-5.1?

DeepSeek V4.1 Flash is cheaper. It lists at $0.15 per million input tokens and $0.60 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

Is DeepSeek V4.1 Flash or GLM-5.1 better for coding?

DeepSeek V4.1 Flash scores higher on coding benchmarks: 52.9 versus 48.7 in the Noometry coding category.

Which has the bigger context window?

DeepSeek V4.1 Flash does, with 1M tokens against 200K.

How many benchmarks do DeepSeek V4.1 Flash and GLM-5.1 share?

29 benchmarks have published results for both models. DeepSeek V4.1 Flash has 37 scored results on Noometry and GLM-5.1 has 41.

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