Model comparison

GLM-4.7-Flash vs GPT-5.5 Pro

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 466× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Last verified . 3 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

GPT-5.5 Pro OpenAI

64.3

Rank #8 Confirmed

Summary

  • They share 3 benchmarks with published results for both. GLM-4.7-Flash scores higher in 0 categories and GPT-5.5 Pro in 3 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in reasoning, where GPT-5.5 Pro leads 73.3 to 20.9.
  • The biggest single-benchmark swing is Chess Puzzles: 0% for GLM-4.7-Flash and 64% for GPT-5.5 Pro.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $30 / $180 for GPT-5.5 Pro.
  • GPT-5.5 Pro 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-5.5 Pro specifications
GLM-4.7-FlashGPT-5.5 Pro
ProviderZ.ai (Zhipu)OpenAI
Noometry Index38.864.3
Released2026-01-192026-04-23
WeightsOpenProprietary
Context window200K1.05M
Max output131K128K
Input $ / M tokens$0.06$30
Output $ / M tokens$0.40$180
Results tracked2114

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Category by category

Coding Not comparable

GLM-4.7-Flash: 40.6 (#135), GPT-5.5 Pro: —

Coding benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
LMArena Coding1383—

Reasoning GPT-5.5 Pro leads

GLM-4.7-Flash: 20.9 (#229), GPT-5.5 Pro: 73.3 (#10)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
Chess Puzzles0%64%
ARC-AGI-2—84.6%
SimpleBench—76.9%
ARC-AGI-1—96.5%
CritPt—30.6%
LMArena Hard Prompts1356—
DTBench—96%
LMCA—53.9%
Epoch Capabilities Index—162.07

Math GPT-5.5 Pro leads

GLM-4.7-Flash: 36.1 (#173), GPT-5.5 Pro: 84.0 (#10)

Math benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
OTIS Mock AIME 2024-202558.3%100%
FrontierMath (Tiers 1-3)—87.7%
FrontierMath Tier 4—78%
LMArena Math1355—
FrontierMath (Feb 2025 set)—52.4%
FrontierMath Tier 4 (v1)—39.6%

Knowledge GPT-5.5 Pro leads

GLM-4.7-Flash: 35.5 (#184), GPT-5.5 Pro: 64.1 (#19)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
GPQA Diamond60.5%93.9%
Vectara Hallucination Rate9.3%—
LMArena Expert1357—

Multilingual Not comparable

GLM-4.7-Flash: 46.5 (#158), GPT-5.5 Pro: —

Multilingual benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
LMArena Non-English1330—
LMArena Chinese1403—
LMArena French1332—
LMArena German1337—
LMArena Korean1283—
LMArena Russian1332—
LMArena Spanish1350—

Instruction Following Not comparable

GLM-4.7-Flash: 70.1 (#167), GPT-5.5 Pro: —

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
LMArena Instruction Following1327—

Long Context Not comparable

GLM-4.7-Flash: 40.9 (#148), GPT-5.5 Pro: —

Long Context benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
LMArena Longer Query1345—

Writing & Preference Not comparable

GLM-4.7-Flash: 47.4 (#210), GPT-5.5 Pro: —

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashGPT-5.5 Pro
LMArena Text1351—
LMArena Creative Writing1297—
EQ-Bench Creative Writing1125—
LMArena Multi-Turn1342—

Frequently asked questions

Is GLM-4.7-Flash better than GPT-5.5 Pro?

GPT-5.5 Pro is the stronger model overall, scoring 64.3 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 466× less per token, which makes it the better buy when GPT-5.5 Pro's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or GPT-5.5 Pro?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; GPT-5.5 Pro lists at $30 and $180.

Which has the bigger context window?

GPT-5.5 Pro does, with 1.05M tokens against 200K.

How many benchmarks do GLM-4.7-Flash and GPT-5.5 Pro share?

3 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and GPT-5.5 Pro has 14.

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