Model comparison

GLM-4.7-Flash vs GLM-5.1

GLM-5.1 is the stronger model overall, scoring 47.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 15× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Last verified . 20 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GLM-5.1 in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where GLM-5.1 leads 66.9 to 47.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 93.3% for GLM-5.1.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.

Side by side

GLM-4.7-Flash and GLM-5.1 specifications
GLM-4.7-FlashGLM-5.1
ProviderZ.ai (Zhipu)Z.ai (Zhipu)
Noometry Index38.847.8
Released2026-01-192026-04-07
WeightsOpenOpen
Context window200K200K
Max output131K131K
Input $ / M tokens$0.06$1.40
Output $ / M tokens$0.40$4.40
Results tracked2141

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Category by category

Coding GLM-5.1 leads

GLM-4.7-Flash: 40.6 (#135), GLM-5.1: 48.7 (#55)

Coding benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
LMArena Coding13831485
SWE-bench Verified—74.2%
LMArena WebDev—1508
SciCode—43.8%
WeirdML—57.1%
ALE-Bench—887.1

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GLM-5.1: 24.9 (#113)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
APEX-Agents—40.9%
ExploitBench—18.1%
GBAEval—0%
Vending-Bench 2—5,634

Reasoning GLM-5.1 leads

GLM-4.7-Flash: 20.9 (#229), GLM-5.1: 39.1 (#60)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
Chess Puzzles0%19%
LMArena Hard Prompts13561472
SimpleBench—55.1%
NYT Connections (extended)—77.7%
CritPt—4.6%
Thematic Generalization—69.8%
Epoch Capabilities Index—149.84

Math GLM-5.1 leads

GLM-4.7-Flash: 36.1 (#173), GLM-5.1: 49.7 (#60)

Knowledge GLM-5.1 leads

GLM-4.7-Flash: 35.5 (#184), GLM-5.1: 54.9 (#50)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
GPQA Diamond60.5%89.9%
LMArena Expert13571476
SimpleQA Verified—34%
Vectara Hallucination Rate9.3%—

Multilingual GLM-5.1 leads

GLM-4.7-Flash: 46.5 (#158), GLM-5.1: 55.0 (#36)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
LMArena Non-English13301447
LMArena Chinese14031515
LMArena French13321474
LMArena German13371465
LMArena Korean12831418
LMArena Russian13321454
LMArena Spanish13501469
LMArena Japanese—1434

Instruction Following GLM-5.1 leads

GLM-4.7-Flash: 70.1 (#167), GLM-5.1: 76.3 (#42)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
LMArena Instruction Following13271451

Long Context GLM-5.1 leads

GLM-4.7-Flash: 40.9 (#148), GLM-5.1: 44.9 (#53)

Long Context benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
LMArena Longer Query13451466

Writing & Preference GLM-5.1 leads

GLM-4.7-Flash: 47.4 (#210), GLM-5.1: 66.9 (#31)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashGLM-5.1
LMArena Text13511461
LMArena Creative Writing12971453
EQ-Bench Creative Writing11251592
LMArena Multi-Turn13421472

Frequently asked questions

Is GLM-4.7-Flash better than GLM-5.1?

GLM-5.1 is the stronger model overall, scoring 47.8 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 15× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or GLM-5.1?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GLM-5.1 lists at $1.40 and $4.40.

Is GLM-4.7-Flash or GLM-5.1 better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Both accept 200K tokens.

How many benchmarks do GLM-4.7-Flash and GLM-5.1 share?

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GLM-5.1 has 41.

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