Noometry

Model comparison

GLM-4.7-Flash vs GPT-6.1 Sol

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 28× less per token, which makes it the better buy when GPT-6.1 Sol's lead doesn't matter for your workload.

Last verified . 15 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GPT-6.1 Sol OpenAI

65.6

Rank #6 Confirmed

Summary

  • They share 15 benchmarks with published results for both. GLM-4.7-Flash 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 20.9.
  • The biggest single-benchmark swing is Chess Puzzles: 0% for GLM-4.7-Flash and 61% for GPT-6.1 Sol.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $10 for GPT-6.1 Sol.
  • GPT-6.1 Sol accepts more context: 1.05M tokens versus 200K.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-FlashGPT-6.1 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.865.6
Released2026-01-192026-09-29
WeightsOpenProprietary
Context window200K1.05M
Max output131K128K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.40$10
Results tracked2134

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Category by category

Coding GPT-6.1 Sol leads

GLM-4.7-Flash: 40.6 (#135), GPT-6.1 Sol: 63.2 (#8)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Coding13831487
DeepSWE—75.2%
FrontierCode—50.2%
LMArena WebDev—1755
SciCode—55.8%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-6.1 Sol: 39.6 (#26)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
APEX-Agents—60%
GDP.pdf—32%

Reasoning GPT-6.1 Sol leads

GLM-4.7-Flash: 20.9 (#229), GPT-6.1 Sol: 81.9 (#2)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
Chess Puzzles0%61%
LMArena Hard Prompts13561466
ARC-AGI-2—94.2%
NYT Connections (extended)—95.5%
ARC-AGI-1—98.5%
CritPt—31.7%
EBR-Bench—54.3%
Mystery Game Puzzles—80%
Epoch Capabilities Index—166.09

Math GPT-6.1 Sol leads

GLM-4.7-Flash: 36.1 (#173), GPT-6.1 Sol: 93.7 (#1)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
OTIS Mock AIME 2024-202558.3%100%
LMArena Math13551464
FrontierMath (Tiers 1-3)—93.7%
FrontierMath Tier 4—100%
ProofBench—99%

Knowledge GPT-6.1 Sol leads

GLM-4.7-Flash: 35.5 (#184), GPT-6.1 Sol: 71.8 (#4)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
GPQA Diamond60.5%95.4%
LMArena Expert13571502
SimpleQA Verified—73.9%
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-6.1 Sol: 52.7 (#5)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Vision—1288
Furniture Assembly—80%

Multilingual GPT-6.1 Sol leads

GLM-4.7-Flash: 46.5 (#158), GPT-6.1 Sol: 54.3 (#46)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Non-English13301438
LMArena Chinese14031477
LMArena Russian13321455
LMArena French1332—
LMArena German1337—
LMArena Korean1283—
LMArena Spanish1350—

Instruction Following GPT-6.1 Sol leads

GLM-4.7-Flash: 70.1 (#167), GPT-6.1 Sol: 77.0 (#29)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Instruction Following13271468

Long Context GPT-6.1 Sol leads

GLM-4.7-Flash: 40.9 (#148), GPT-6.1 Sol: 44.9 (#54)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Longer Query13451465

Writing & Preference GPT-6.1 Sol leads

GLM-4.7-Flash: 47.4 (#210), GPT-6.1 Sol: 63.6 (#63)

BenchmarkGLM-4.7-FlashGPT-6.1 Sol
LMArena Text13511447
LMArena Creative Writing12971432
LMArena Multi-Turn13421449
EQ-Bench Creative Writing1125—

Frequently asked questions

Is GLM-4.7-Flash better than GPT-6.1 Sol?

GPT-6.1 Sol is the stronger model overall, scoring 65.6 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 28× 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-4.7-Flash or GPT-6.1 Sol?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-6.1 Sol lists at $2 and $10.

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

GPT-6.1 Sol scores higher on coding benchmarks: 63.2 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6.1 Sol does, with 1.05M tokens against 200K.

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

15 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-6.1 Sol has 34.

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