Noometry

Model comparison

GLM-4.7-Flash vs GPT-6 Sol

GPT-6 Sol is the stronger model overall, scoring 61.8 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 Sol'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

GPT-6 Sol OpenAI

61.8

Rank #12 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GPT-6 Sol in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-6 Sol leads 74.0 to 20.9.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 100% for GPT-6 Sol.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $10 for GPT-6 Sol.
  • GPT-6 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 Sol
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.861.8
Released2026-01-192026-09-22
WeightsOpenProprietary
Context window200K1.05M
Max output131K128K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.40$10
Results tracked2145

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Category by category

Coding GPT-6 Sol leads

GLM-4.7-Flash: 40.6 (#135), GPT-6 Sol: 60.1 (#11)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Coding13831447
DeepSWE—68.8%
FrontierCode—49.3%
LMArena WebDev—1688
SciCode—57.6%
ALE-Bench—2,462

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-6 Sol: 37.2 (#36)

BenchmarkGLM-4.7-FlashGPT-6 Sol
APEX-Agents—54.3%
GDP.pdf—26.4%
Vending-Bench 2—14,428

Reasoning GPT-6 Sol leads

GLM-4.7-Flash: 20.9 (#229), GPT-6 Sol: 74.0 (#9)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Hard Prompts13561418
ARC-AGI-2—89.6%
NYT Connections (extended)—90.1%
ARC-AGI-1—95.5%
CritPt—30.9%
Chess Puzzles0%—
EBR-Bench—53.3%
Mystery Game Puzzles—56%
DTBench—97.3%
LMCA—59.1%
Epoch Capabilities Index—162.72

Math GPT-6 Sol leads

GLM-4.7-Flash: 36.1 (#173), GPT-6 Sol: 87.2 (#7)

BenchmarkGLM-4.7-FlashGPT-6 Sol
OTIS Mock AIME 2024-202558.3%100%
LMArena Math13551402
FrontierMath (Tiers 1-3)—89.8%
FrontierMath Tier 4—90%
ProofBench—83%

Knowledge GPT-6 Sol leads

GLM-4.7-Flash: 35.5 (#184), GPT-6 Sol: 64.8 (#15)

BenchmarkGLM-4.7-FlashGPT-6 Sol
GPQA Diamond60.5%94.3%
Vectara Hallucination Rate9.3%6.5%
LMArena Expert13571439
SimpleQA Verified—60.7%

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-6 Sol: 47.6 (#10)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Vision—1245
Blueprint-Bench 2—36.9%
Furniture Assembly—58.3%

Multilingual GPT-6 Sol leads

GLM-4.7-Flash: 46.5 (#158), GPT-6 Sol: 50.5 (#118)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Non-English13301385
LMArena Chinese14031405
LMArena French13321410
LMArena German13371390
LMArena Korean12831341
LMArena Russian13321401
LMArena Spanish13501384
LMArena Japanese—1385

Instruction Following GPT-6 Sol leads

GLM-4.7-Flash: 70.1 (#167), GPT-6 Sol: 74.5 (#94)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Instruction Following13271412

Long Context GPT-6 Sol leads

GLM-4.7-Flash: 40.9 (#148), GPT-6 Sol: 43.1 (#108)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Longer Query13451411

Writing & Preference GPT-6 Sol leads

GLM-4.7-Flash: 47.4 (#210), GPT-6 Sol: 71.9 (#18)

BenchmarkGLM-4.7-FlashGPT-6 Sol
LMArena Text13511395
LMArena Creative Writing12971378
EQ-Bench Creative Writing11252125
LMArena Multi-Turn13421412

Frequently asked questions

Is GLM-4.7-Flash better than GPT-6 Sol?

GPT-6 Sol is the stronger model overall, scoring 61.8 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 Sol's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or GPT-6 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 Sol lists at $2 and $10.

Is GLM-4.7-Flash or GPT-6 Sol better for coding?

GPT-6 Sol scores higher on coding benchmarks: 60.1 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

GPT-6 Sol does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and GPT-6 Sol share?

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-6 Sol has 45.

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