Noometry

Model comparison

GLM-4.6V vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.3 on the Noometry Index. GLM-4.6V costs 8.9× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 12 shared benchmarks.

GLM-4.6V Z.ai (Zhipu)

41.3

Rank #137 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 12 benchmarks with published results for both. GLM-4.6V scores higher in 0 categories and GPT-6.1 Sol in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6.1 Sol leads 81.9 to 27.6.
  • GLM-4.6V is cheaper at $0.30 / $0.90 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 128K.
  • GLM-4.6V has downloadable open weights; the other is API-only.

Side by side

GLM-4.6VGPT-6.1 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.365.6
Released2025-12-082026-09-29
WeightsOpenProprietary
Context window128K1.05M
Max output33K128K
Input $ / M tokens$0.30$2
Output $ / M tokens$0.90$10
Results tracked1234

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Category by category

Coding GPT-6.1 Sol leads

GLM-4.6V: 40.9 (#128), GPT-6.1 Sol: 63.2 (#8)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Coding13901487
DeepSWE—75.2%
FrontierCode—50.2%
LMArena WebDev—1755
SciCode—55.8%

Agentic & Tool Use Not comparable

GLM-4.6V: —, GPT-6.1 Sol: 39.6 (#26)

BenchmarkGLM-4.6VGPT-6.1 Sol
APEX-Agents—60%
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

GLM-4.6V: 27.6 (#115), GPT-6.1 Sol: 81.9 (#2)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Hard Prompts13681466
ARC-AGI-2—94.2%
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 Not comparable

GLM-4.6V: —, GPT-6.1 Sol: 93.7 (#1)

BenchmarkGLM-4.6VGPT-6.1 Sol
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
OTIS Mock AIME 2024-2025—100%
ProofBench—99%
LMArena Math—1464

Knowledge GPT-6.1 Sol leads

GLM-4.6V: 38.0 (#149), GPT-6.1 Sol: 71.8 (#4)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Expert13711502
GPQA Diamond—95.4%
SimpleQA Verified—73.9%

Multimodal GPT-6.1 Sol leads

GLM-4.6V: 34.8 (#90), GPT-6.1 Sol: 52.7 (#5)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Vision11641288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

GLM-4.6V: 48.6 (#141), GPT-6.1 Sol: 54.3 (#46)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Non-English13591438
LMArena Chinese14251477
LMArena Russian13401455

Instruction Following GPT-6.1 Sol leads

GLM-4.6V: 71.4 (#151), GPT-6.1 Sol: 77.0 (#29)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Instruction Following13521468

Long Context GPT-6.1 Sol leads

GLM-4.6V: 41.3 (#143), GPT-6.1 Sol: 44.9 (#54)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Longer Query13581465

Writing & Preference GPT-6.1 Sol leads

GLM-4.6V: 56.6 (#137), GPT-6.1 Sol: 63.6 (#63)

BenchmarkGLM-4.6VGPT-6.1 Sol
LMArena Text13771447
LMArena Creative Writing13471432
LMArena Multi-Turn13601449

Frequently asked questions

Is GLM-4.6V better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 41.3 on the Noometry Index. GLM-4.6V costs 8.9× 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-4.6V or GPT-6.1 Sol?

GLM-4.6V is cheaper. It lists at $0.30 per million input tokens and $0.90 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GLM-4.6V or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.9 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 128K.

How many benchmarks do GLM-4.6V and GPT-6.1 Sol share?

12 benchmarks have published results for both models. GLM-4.6V has 12 scored results on Noometry and GPT-6.1 Sol has 34.

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