Noometry

Model comparison

GLM-4.5V vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 39.8 on the Noometry Index. GLM-4.5V costs 4.4× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 13 shared benchmarks.

GLM-4.5V Z.ai (Zhipu)

39.8

Rank #158 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 13 benchmarks with published results for both. GLM-4.5V scores higher in 0 categories and GPT-6.1 Sol in 9 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-6.1 Sol leads 93.7 to 37.4.
  • GLM-4.5V is cheaper at $0.60 / $1.80 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 64K.
  • GLM-4.5V has downloadable open weights; the other is API-only.

Side by side

GLM-4.5VGPT-6.1 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index39.865.6
Released2025-08-112026-09-29
WeightsOpenProprietary
Context window64K1.05M
Max output16K128K
Input $ / M tokens$0.60$2
Output $ / M tokens$1.80$10
Results tracked1534

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Category by category

Coding GPT-6.1 Sol leads

GLM-4.5V: 39.5 (#155), GPT-6.1 Sol: 63.2 (#8)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Coding13471487
DeepSWE—75.2%
FrontierCode—50.2%
LMArena WebDev—1755
SciCode—55.8%

Agentic & Tool Use Not comparable

GLM-4.5V: —, GPT-6.1 Sol: 39.6 (#26)

BenchmarkGLM-4.5VGPT-6.1 Sol
APEX-Agents—60%
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

GLM-4.5V: 27.4 (#119), GPT-6.1 Sol: 81.9 (#2)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Hard Prompts13341466
ARC-AGI-2—94.2%
Kagi LLM Benchmark59.8%—
NYT Connections (extended)—95.5%
ARC-AGI-1—98.5%
CritPt—31.7%
Chess Puzzles—61%
EBR-Bench—54.3%
Mystery Game Puzzles—80%
Epoch Capabilities Index—166.09

Math GPT-6.1 Sol leads

GLM-4.5V: 37.4 (#159), GPT-6.1 Sol: 93.7 (#1)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Math13541464
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
OTIS Mock AIME 2024-2025—100%
ProofBench—99%

Knowledge GPT-6.1 Sol leads

GLM-4.5V: 37.5 (#156), GPT-6.1 Sol: 71.8 (#4)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Expert13531502
GPQA Diamond—95.4%
SimpleQA Verified—73.9%

Multimodal GPT-6.1 Sol leads

GLM-4.5V: 34.3 (#92), GPT-6.1 Sol: 52.7 (#5)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Vision11541288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

GLM-4.5V: 44.6 (#177), GPT-6.1 Sol: 54.3 (#46)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Non-English13031438
LMArena Chinese13371477
LMArena Russian12981455
LMArena Spanish1336—

Instruction Following GPT-6.1 Sol leads

GLM-4.5V: 69.2 (#175), GPT-6.1 Sol: 77.0 (#29)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Instruction Following13111468

Long Context GPT-6.1 Sol leads

GLM-4.5V: 39.6 (#171), GPT-6.1 Sol: 44.9 (#54)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Longer Query13041465

Writing & Preference GPT-6.1 Sol leads

GLM-4.5V: 52.5 (#170), GPT-6.1 Sol: 63.6 (#63)

BenchmarkGLM-4.5VGPT-6.1 Sol
LMArena Text13331447
LMArena Creative Writing12951432
LMArena Multi-Turn13321449

Frequently asked questions

Is GLM-4.5V better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 39.8 on the Noometry Index. GLM-4.5V costs 4.4× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5V or GPT-6.1 Sol?

GLM-4.5V is cheaper. It lists at $0.60 per million input tokens and $1.80 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GLM-4.5V or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 64K.

How many benchmarks do GLM-4.5V and GPT-6.1 Sol share?

13 benchmarks have published results for both models. GLM-4.5V has 15 scored results on Noometry and GPT-6.1 Sol has 34.

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