Model comparison

GLM-4.7 vs GPT-6.1 Sol

GLM-4.7 has enough public results to be ranked (#117); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Last verified . 0 shared benchmarks.

GLM-4.7 Z.ai (Zhipu)

41.7

Rank #117 Confirmed

GPT-6.1 Sol OpenAI

42.1

Unranked Sparse

Summary

  • The widest gap is in agentic & tool use, where GPT-6.1 Sol leads 34.3 to 26.4.
  • GLM-4.7 is cheaper at $0.60 / $2.20 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 205K.
  • GLM-4.7 has downloadable open weights; the other is API-only.

Side by side

GLM-4.7 and GPT-6.1 Sol specifications
GLM-4.7GPT-6.1 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index41.742.1
Released2025-12-222026-09-29
WeightsOpenProprietary
Context window205K1.05M
Max output131K128K
Input $ / M tokens$0.60$2
Output $ / M tokens$2.20$10
Results tracked362

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Category by category

Coding GPT-6.1 Sol leads

GLM-4.7: 43.6 (#74), GPT-6.1 Sol: 51.4

Coding benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
DeepSWE—75.2%
LMArena WebDev1435—
SciCode45.1%—
LMArena Coding1454—
ALE-Bench399.48—

Agentic & Tool Use GPT-6.1 Sol leads

GLM-4.7: 26.4 (#96), GPT-6.1 Sol: 34.3

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
Terminal-Bench33.4%—
GDP.pdf—32%
Vending-Bench 22,377—

Reasoning Not comparable

GLM-4.7: 23.7 (#161), GPT-6.1 Sol: —

Reasoning benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
SimpleBench47.7%—
CritPt1.7%—
Chess Puzzles6%—
LMArena Hard Prompts1443—
Epoch Capabilities Index143.53—

Math Not comparable

GLM-4.7: 37.7 (#92), GPT-6.1 Sol: —

Math benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
OTIS Mock AIME 2024-202583.3%—
ProofBench6%—
LMArena Math1423—
FrontierMath (Feb 2025 set)2.4%—
FrontierMath Tier 4 (v1)0%—

Knowledge Not comparable

GLM-4.7: 47.0 (#74), GPT-6.1 Sol: —

Knowledge benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
GPQA Diamond83.3%—
SimpleQA Verified32.2%—
Vectara Hallucination Rate11.7%—
LMArena Expert1424—

Multilingual Not comparable

GLM-4.7: 53.0 (#75), GPT-6.1 Sol: —

Multilingual benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
LMArena Non-English1417—
LMArena Chinese1495—
LMArena French1432—
LMArena German1426—
LMArena Japanese1439—
LMArena Korean1401—
LMArena Russian1423—
LMArena Spanish1433—

Instruction Following Not comparable

GLM-4.7: 74.6 (#90), GPT-6.1 Sol: —

Instruction Following benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
LMArena Instruction Following1411—

Long Context Not comparable

GLM-4.7: 42.8 (#111), GPT-6.1 Sol: —

Long Context benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
CL-bench15.9%—
CL-bench Life10.9%—
LMArena Longer Query1432—

Writing & Preference Not comparable

GLM-4.7: 61.1 (#89), GPT-6.1 Sol: —

Writing & Preference benchmarks
BenchmarkGLM-4.7GPT-6.1 Sol
LMArena Text1436—
LMArena Creative Writing1401—
EQ-Bench Creative Writing1413—
LMArena Multi-Turn1446—

Frequently asked questions

Is GLM-4.7 better than GPT-6.1 Sol?

GLM-4.7 has enough public results to be ranked (#117); GPT-6.1 Sol does not yet, so treat this comparison as directional.

Which is cheaper, GLM-4.7 or GPT-6.1 Sol?

GLM-4.7 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

Is GLM-4.7 or GPT-6.1 Sol better for coding?

GPT-6.1 Sol scores higher on coding benchmarks: 51.4 versus 43.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 205K.

How many benchmarks do GLM-4.7 and GPT-6.1 Sol share?

0 benchmarks have published results for both models. GLM-4.7 has 36 scored results on Noometry and GPT-6.1 Sol has 2.

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