Model comparison

Seed 2.0 Pro vs GLM-4.7-Flash

Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.8× less per token, which makes it the better buy when Seed 2.0 Pro's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

Seed 2.0 Pro ByteDance Seed

43.2

Rank #96 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

  • They share 16 benchmarks with published results for both. Seed 2.0 Pro scores higher in 8 categories and GLM-4.7-Flash in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Seed 2.0 Pro leads 62.9 to 47.4.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.50 / $3 for Seed 2.0 Pro.
  • Seed 2.0 Pro accepts more context: 256K tokens versus 200K.
  • GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Seed 2.0 Pro and GLM-4.7-Flash specifications
Seed 2.0 ProGLM-4.7-Flash
ProviderByteDance SeedZ.ai (Zhipu)
Noometry Index43.238.8
Released2026-02-142026-01-19
WeightsProprietaryOpen
Context window256K200K
Max output128K131K
Input $ / M tokens$0.50$0.06
Output $ / M tokens$3$0.40
Results tracked2021

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Category by category

Coding Seed 2.0 Pro leads

Seed 2.0 Pro: 43.5 (#86), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Coding14721383

Reasoning Seed 2.0 Pro leads

Seed 2.0 Pro: 24.1 (#165), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Hard Prompts14531356
NYT Connections (extended)28.4%—
Chess Puzzles—0%
Thematic Generalization57.1%—

Math Seed 2.0 Pro leads

Seed 2.0 Pro: 39.3 (#108), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Math14391355
OTIS Mock AIME 2024-2025—58.3%

Knowledge Seed 2.0 Pro leads

Seed 2.0 Pro: 40.2 (#122), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Expert14401357
GPQA Diamond—60.5%
Vectara Hallucination Rate—9.3%

Multimodal Not comparable

Seed 2.0 Pro: 41.5 (#35), GLM-4.7-Flash: —

Multimodal benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Vision1274—

Multilingual Seed 2.0 Pro leads

Seed 2.0 Pro: 54.5 (#39), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Non-English14411330
LMArena Chinese14891403
LMArena French14711332
LMArena German14421337
LMArena Korean14111283
LMArena Russian14491332
LMArena Spanish14601350
LMArena Japanese1408—

Instruction Following Seed 2.0 Pro leads

Seed 2.0 Pro: 74.5 (#91), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Instruction Following14141327

Long Context Seed 2.0 Pro leads

Seed 2.0 Pro: 43.6 (#90), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Longer Query14281345

Writing & Preference Seed 2.0 Pro leads

Seed 2.0 Pro: 62.9 (#69), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
BenchmarkSeed 2.0 ProGLM-4.7-Flash
LMArena Text14481351
LMArena Creative Writing14061297
LMArena Multi-Turn14411342
EQ-Bench Creative Writing—1125

Frequently asked questions

Is Seed 2.0 Pro better than GLM-4.7-Flash?

Seed 2.0 Pro is the stronger model overall, scoring 43.2 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 7.8× less per token, which makes it the better buy when Seed 2.0 Pro's lead doesn't matter for your workload.

Which is cheaper, Seed 2.0 Pro or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Seed 2.0 Pro lists at $0.50 and $3.

Is Seed 2.0 Pro or GLM-4.7-Flash better for coding?

Seed 2.0 Pro scores higher on coding benchmarks: 43.5 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Seed 2.0 Pro does, with 256K tokens against 200K.

How many benchmarks do Seed 2.0 Pro and GLM-4.7-Flash share?

16 benchmarks have published results for both models. Seed 2.0 Pro has 20 scored results on Noometry and GLM-4.7-Flash has 21.

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