Model comparison

Gemini 1.0 Pro vs GLM-4.7-Flash

GLM-4.7-Flash is the stronger model overall, scoring 38.4 to 27.1 on the Noometry Index.

Last verified . 17 shared benchmarks.

Gemini 1.0 Pro Google

27.1

Rank #327 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 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 34.4 to 8.7.
  • 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 Index27.138.4
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: 31.6 (#270), GLM-4.7-Flash: 40.0 (#133)

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: 16.4 (#292), GLM-4.7-Flash: 20.2 (#224)

Reasoning benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Hard Prompts11091356
Chess Puzzles—0%
DTBench45.9%—
Epoch Capabilities Index116.97—

Math GLM-4.7-Flash leads

Gemini 1.0 Pro: 8.7 (#315), GLM-4.7-Flash: 34.4 (#159)

Math benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
OTIS Mock AIME 2024-20251.1%58.3%
LMArena Math11321354
MATH Level 511.2%—

Knowledge GLM-4.7-Flash leads

Gemini 1.0 Pro: 15.5 (#286), GLM-4.7-Flash: 35.4 (#177)

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: 33.5 (#247), GLM-4.7-Flash: 46.8 (#152)

Multilingual benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Non-English11381331
LMArena Chinese11241403
LMArena French11441332
LMArena German11251336
LMArena Russian11861333
LMArena Spanish11181351
LMArena Japanese1023—
LMArena Korean—1284

Instruction Following GLM-4.7-Flash leads

Gemini 1.0 Pro: 57.9 (#262), GLM-4.7-Flash: 70.3 (#162)

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 (#244), GLM-4.7-Flash: 40.9 (#143)

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

Writing & Preference GLM-4.7-Flash leads

Gemini 1.0 Pro: 36.2 (#259), GLM-4.7-Flash: 47.7 (#206)

Writing & Preference benchmarks
BenchmarkGemini 1.0 ProGLM-4.7-Flash
LMArena Text11491351
LMArena Creative Writing11301297
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 38.4 to 27.1 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: 40.0 versus 31.6 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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