Noometry

Model comparison

GLM-4.6 vs Solar Pro4

GLM-4.6 and Solar Pro4 score almost the same on the Noometry Index (40.9 vs 41.5), so choose on price, context window or the category you care about most.

Last verified . 18 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

40.9

Rank #132 Confirmed

Solar Pro4 Upstage

41.5

Rank #123 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.6 scores higher in 6 categories and Solar Pro4 in 2 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in multilingual, where GLM-4.6 leads 53.6 to 49.0.
  • Solar Pro4 is cheaper at $0.30 / $1.20 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • Solar Pro4 accepts more context: 524K tokens versus 205K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

GLM-4.6Solar Pro4
ProviderZ.ai (Zhipu)Upstage
Noometry Index40.941.5
Released2025-09-302026-08-06
WeightsOpenProprietary
Context window205K524K
Max output131K131K
Input $ / M tokens$0.60$0.30
Output $ / M tokens$2.20$1.20
Results tracked2918

Sponsored placements are available on pages like this one. Advertise on Noometry

Category by category

Coding Too close to call

GLM-4.6: 39.9 (#137), Solar Pro4: 39.9 (#135)

BenchmarkGLM-4.6Solar Pro4
LMArena WebDev13391371
LMArena Coding14491439
SWE-bench Verified (bash only)55.4%—
SciCode38.4%—
ALE-Bench340.82—

Agentic & Tool Use Not comparable

GLM-4.6: 32.1 (#60), Solar Pro4: —

BenchmarkGLM-4.6Solar Pro4
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning Solar Pro4 leads

GLM-4.6: 23.1 (#168), Solar Pro4: 27.3 (#107)

BenchmarkGLM-4.6Solar Pro4
LMArena Hard Prompts14401398
Kagi LLM Benchmark47.4%—
CritPt1.1%—

Math Too close to call

GLM-4.6: 36.4 (#115), Solar Pro4: 36.1 (#129)

BenchmarkGLM-4.6Solar Pro4
LMArena Math14311418
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—

Knowledge Too close to call

GLM-4.6: 39.6 (#118), Solar Pro4: 39.0 (#128)

BenchmarkGLM-4.6Solar Pro4
LMArena Expert14321421
Vectara Hallucination Rate9.5%—

Multilingual GLM-4.6 leads

GLM-4.6: 53.6 (#62), Solar Pro4: 49.0 (#134)

BenchmarkGLM-4.6Solar Pro4
LMArena Non-English14261362
LMArena Chinese15001417
LMArena French14591403
LMArena German14471351
LMArena Japanese13941300
LMArena Korean14011383
LMArena Russian14181360
LMArena Spanish14361408

Instruction Following GLM-4.6 leads

GLM-4.6: 74.5 (#93), Solar Pro4: 72.8 (#128)

BenchmarkGLM-4.6Solar Pro4
LMArena Instruction Following14101376

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#91), Solar Pro4: 42.0 (#125)

BenchmarkGLM-4.6Solar Pro4
LMArena Longer Query14231379

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.3 (#86), Solar Pro4: 56.7 (#133)

BenchmarkGLM-4.6Solar Pro4
LMArena Text14401386
LMArena Creative Writing14111313
LMArena Multi-Turn14271391
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than Solar Pro4?

GLM-4.6 and Solar Pro4 score almost the same on the Noometry Index (40.9 vs 41.5), so choose on price, context window or the category you care about most.

Which is cheaper, GLM-4.6 or Solar Pro4?

Solar Pro4 is cheaper. It lists at $0.30 per million input tokens and $1.20 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or Solar Pro4 better for coding?

They score almost the same on coding (39.9 vs 39.9); test both on your own repository before choosing.

Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 205K.

How many benchmarks do GLM-4.6 and Solar Pro4 share?

18 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Solar Pro4 has 18.

Related comparisons

Go deeper