Model comparison

GLM-4.7-Flash vs GPT-5.6 Terra

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 31× less per token, which makes it the better buy when GPT-5.6 Terra'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-5.6 Terra OpenAI

59.2

Rank #17 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GPT-5.6 Terra in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GPT-5.6 Terra leads 81.6 to 36.1.
  • The biggest single-benchmark swing is Chess Puzzles: 0% for GLM-4.7-Flash and 54% for GPT-5.6 Terra.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $12 for GPT-5.6 Terra.
  • GPT-5.6 Terra 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-Flash and GPT-5.6 Terra specifications
GLM-4.7-FlashGPT-5.6 Terra
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.859.2
Released2026-01-192026-07-09
WeightsOpenProprietary
Context window200K1.05M
Max output131K128K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.40$12
Results tracked2152

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Category by category

Coding GPT-5.6 Terra leads

GLM-4.7-Flash: 40.6 (#135), GPT-5.6 Terra: 57.7 (#19)

Coding benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Coding13831484
DeepSWE—69.6%
FrontierCode—41.3%
CursorBench—41.3%
LMArena WebDev—1522
SciCode—55%
WeirdML—78.3%
ALE-Bench—1,951

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, GPT-5.6 Terra: 40.1 (#25)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
APEX-Agents—58.2%
BALROG—53.2%
GDP.pdf—24.7%
Vending-Bench 2—7,343

Reasoning GPT-5.6 Terra leads

GLM-4.7-Flash: 20.9 (#229), GPT-5.6 Terra: 60.7 (#21)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
Chess Puzzles0%54%
LMArena Hard Prompts13561468
ARC-AGI-2—83.9%
SimpleBench—48.9%
Kagi LLM Benchmark—51.3%
NYT Connections (extended)—78.4%
ARC-AGI-1—96.5%
CritPt—30%
Mystery Game Puzzles—35%
DTBench—93.3%
LMCA—55%
Surface Evolver Bench—83.8%
Epoch Capabilities Index—159.62

Math GPT-5.6 Terra leads

GLM-4.7-Flash: 36.1 (#173), GPT-5.6 Terra: 81.6 (#12)

Math benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
OTIS Mock AIME 2024-202558.3%99.7%
LMArena Math13551466
FrontierMath (Tiers 1-3)—86%
FrontierMath Tier 4—70.7%
ProofBench—74%

Knowledge GPT-5.6 Terra leads

GLM-4.7-Flash: 35.5 (#184), GPT-5.6 Terra: 61.2 (#30)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
GPQA Diamond60.5%93.3%
LMArena Expert13571492
SimpleQA Verified—43.2%
Vectara Hallucination Rate9.3%—

Multimodal Not comparable

GLM-4.7-Flash: —, GPT-5.6 Terra: 47.3 (#11)

Multimodal benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Vision—1271
Blueprint-Bench 2—30.8%
Furniture Assembly—54.2%
LMArena Document—1472

Multilingual GPT-5.6 Terra leads

GLM-4.7-Flash: 46.5 (#158), GPT-5.6 Terra: 54.4 (#44)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Non-English13301439
LMArena Chinese14031513
LMArena French13321471
LMArena German13371460
LMArena Korean12831425
LMArena Russian13321450
LMArena Spanish13501448
LMArena Japanese—1457

Instruction Following GPT-5.6 Terra leads

GLM-4.7-Flash: 70.1 (#167), GPT-5.6 Terra: 76.4 (#40)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Instruction Following13271454

Long Context GPT-5.6 Terra leads

GLM-4.7-Flash: 40.9 (#148), GPT-5.6 Terra: 44.4 (#68)

Long Context benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Longer Query13451451

Writing & Preference GPT-5.6 Terra leads

GLM-4.7-Flash: 47.4 (#210), GPT-5.6 Terra: 70.2 (#23)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashGPT-5.6 Terra
LMArena Text13511447
LMArena Creative Writing12971410
EQ-Bench Creative Writing11251855
LMArena Multi-Turn13421449
EQ-Bench 4—1234

Frequently asked questions

Is GLM-4.7-Flash better than GPT-5.6 Terra?

GPT-5.6 Terra is the stronger model overall, scoring 59.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 31× less per token, which makes it the better buy when GPT-5.6 Terra's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or GPT-5.6 Terra?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-5.6 Terra lists at $2 and $12.

Is GLM-4.7-Flash or GPT-5.6 Terra better for coding?

GPT-5.6 Terra scores higher on coding benchmarks: 57.7 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

GPT-5.6 Terra does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and GPT-5.6 Terra share?

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-5.6 Terra has 52.

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