Model comparison

Gemini 1.0 Pro vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.3 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemini 1.0 Pro Google

27.3

Rank #332 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 17 benchmarks with published results for both. Gemini 1.0 Pro scores higher in 0 categories and GLM-4.7-Flash in 8 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 9.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 1.1% for Gemini 1.0 Pro and 58.3% for GLM-4.7-Flash.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Gemini 1.0 Pro and GLM-4.7-Flash specifications
Gemini 1.0 ProGLM-4.7-Flash
ProviderGoogleZ.ai (Zhipu)
Noometry Index27.338.8
Released2023-12-132026-01-19
WeightsProprietaryOpen
Context window—200K
Max output—131K
Input $ / M tokens—$0.06
Output $ / M tokens—$0.40
Results tracked2421

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Category by category

Coding GLM-4.7-Flash leads

Gemini 1.0 Pro: 32.2 (#275), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Coding11081383
HumanEval+55.5%—
MBPP+61.4%—

Reasoning GLM-4.7-Flash leads

Gemini 1.0 Pro: 17.1 (#296), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Hard Prompts11091356
Chess Puzzles—0%
DTBench45.9%—
Epoch Capabilities Index117.04—

Math GLM-4.7-Flash leads

Gemini 1.0 Pro: 9.3 (#321), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
OTIS Mock AIME 2024-20251.1%58.3%
LMArena Math11321355
MATH Level 511.2%—

Knowledge GLM-4.7-Flash leads

Gemini 1.0 Pro: 15.6 (#291), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
GPQA Diamond34%60.5%
LMArena Expert10591357
Vectara Hallucination Rate—9.3%
MMLU70%—

Multilingual GLM-4.7-Flash leads

Gemini 1.0 Pro: 33.4 (#252), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Non-English11381330
LMArena Chinese11241403
LMArena French11451332
LMArena German11251337
LMArena Russian11861332
LMArena Spanish11191350
LMArena Japanese1023—
LMArena Korean—1283

Instruction Following GLM-4.7-Flash leads

Gemini 1.0 Pro: 57.6 (#267), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Instruction Following11141327

Long Context GLM-4.7-Flash leads

Gemini 1.0 Pro: 34.3 (#249), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Longer Query11321345

Writing & Preference GLM-4.7-Flash leads

Gemini 1.0 Pro: 36.0 (#264), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Text11491351
LMArena Creative Writing11311297
LMArena Multi-Turn11391342
EQ-Bench Creative Writing—1125

Frequently asked questions

Is Gemini 1.0 Pro better than GLM-4.7-Flash?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 27.3 on the Noometry Index.

Is Gemini 1.0 Pro or GLM-4.7-Flash better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 32.2 in the Noometry coding category.

How many benchmarks do Gemini 1.0 Pro and GLM-4.7-Flash share?

17 benchmarks have published results for both models. Gemini 1.0 Pro has 24 scored results on Noometry and GLM-4.7-Flash has 21.

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