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GLM 4.6 vs Solar Pro 4

Solar Pro 4 leads GLM 4.6 on the Artificial Analysis Intelligence Index, 28.2 to 18.5, and Solar Pro 4 costs 3.7x less per output token ($0.60 vs $2.20 per million). Updated October 22, 2026; 42 benchmarks have a result for both.

Replace GLM 4.6 Replace Solar Pro 4
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
29
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
13
vs boards won of 42 shared

GLM 4.6 or Solar Pro 4: which to pick

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.

Pick Solar Pro 4 for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and a larger context window (524K against 205K tokens).

Model AGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
42
GLM 4.6 only
27
Solar Pro 4 only
3
Like-for-like categories
7 of 9

Only benchmarks that tested both models count toward a pick; a result only one model has is shown but not compared.

Which one for your work

Each card is decided by one number both models carry. Where only one has it, the card says so and makes no call.

At a glance

Coding index
GLM 4.6 8.8 from 2 benchmarks, Solar Pro 4 not benchmarked.
Widest category
General, 10.7 points apart on average over 18 shared benchmarks.
Widest single gap
LMArena Text: Polish: GLM 4.6 1447 against Solar Pro 4 1304, 23.7 points apart on a 0 to 100 scale.
Output price
GLM 4.6 $2.20 against Solar Pro 4 $0.60 per million output tokens, 3.7x apart.
Context window
GLM 4.6 takes 205K tokens, Solar Pro 4 524K.

Benchmark by benchmark

First the score: boards each model leads, per category, where both have a result. Then every board, a category to a fold; bars are each result on a 0 to 100 scale, so compare the two in a row, not one row with another.

Boards won, where both have a result
CategoryGLM 4.6BarsSolar Pro 4Ties
Coding33
Intelligence01
Reasoning32
Math20
Knowledge40
Web design06
General171
All shared boards2913
CodingLike-for-likeSix of these boards feed the Vibe Coding Index33
Coding benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
SWE-bench Verified68.2%Not measuredOnly GLM 4.6 measured
LMArena WebDev13411371Solar Pro 4
AA Coding Index45.852.7Solar Pro 4
LiveCodeBench (Vals AI)81.0%Not measuredOnly GLM 4.6 measured
Vibe Code Bench (Vals AI)3.1%Not measuredOnly GLM 4.6 measured
LiveCodeBench (Artificial Analysis run)69.5%Not measuredOnly GLM 4.6 measured
SciCodeNot measured48.0%Only Solar Pro 4 measured
Terminal-Bench Hard (Artificial Analysis run)28.8%Not measuredOnly GLM 4.6 measured
Terminal-Bench24.5%Not measuredOnly GLM 4.6 measured
ALE-Bench340.8179.3GLM 4.6
LMArena Text: coding14491438GLM 4.6
LMArena Text: software and IT14551431GLM 4.6
LMArena WebDev: ReactNot measured1363Only Solar Pro 4 measured
LMArena WebDev: HTML13501371Solar Pro 4
Neither model has a result on the other 25 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index01
Intelligence benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
AA Intelligence Index18.528.2Solar Pro 4
Neither model has a result on the other 1 board here
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index8 boards, none shared
Agentic work benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
Design Arena: agents building full-stack apps1029Not measuredOnly GLM 4.6 measured
Design Arena: agents building mobile apps1096Not measuredOnly GLM 4.6 measured
Design Arena: agents building Android apps1084Not measuredOnly GLM 4.6 measured
Design Arena: agents building Godot games1180Not measuredOnly GLM 4.6 measured
τ²-Bench Telecom76.9%Not measuredOnly GLM 4.6 measured
Berkeley Function Calling Leaderboard (BFCL)72.4%Not measuredOnly GLM 4.6 measured
BrowseComp-Plus48.2%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 33 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index32
Reasoning benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
GPQA Diamond74.5%Not measuredOnly GLM 4.6 measured
GPQA Diamond (Artificial Analysis run)78.0%89.1%Solar Pro 4
Humanity's Last Exam (Artificial Analysis run)14.5%29.8%Solar Pro 4
LMArena Text: hard prompts14401400GLM 4.6
LMArena Text: expert14321428GLM 4.6
LMArena Text: hard prompts in English14451427GLM 4.6
Kagi LLM Benchmark45.7%Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 15 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
AIME92.7%Not measuredOnly GLM 4.6 measured
MGSM (Vals AI)89.8%Not measuredOnly GLM 4.6 measured
AA Math Index86.0Not measuredOnly GLM 4.6 measured
AIME 2025 (Artificial Analysis run)86.0%Not measuredOnly GLM 4.6 measured
LMArena Text: math14321421GLM 4.6
LMArena Text: mathematical work14471427GLM 4.6
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
MMLU Pro82.2%Not measuredOnly GLM 4.6 measured
LegalBench (Vals AI)79.6%Not measuredOnly GLM 4.6 measured
CorpFin (Vals AI)56.8%Not measuredOnly GLM 4.6 measured
TaxEval (Vals AI)66.2%Not measuredOnly GLM 4.6 measured
MedQA (Vals AI)92.2%Not measuredOnly GLM 4.6 measured
MMLU Pro (Artificial Analysis run)82.9%Not measuredOnly GLM 4.6 measured
LMArena Text: science14561404GLM 4.6
LMArena Text: medicine and healthcare14551374GLM 4.6
LMArena Text: legal and government14481383GLM 4.6
LMArena Text: business and finance14161381GLM 4.6
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index06
Web design benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
Design Arena: websites11741176Solar Pro 4
Design Arena: UI components11451147Solar Pro 4
Design Arena: game dev11501169Solar Pro 4
Design Arena: data viz11611177Solar Pro 4
Design Arena: 3D11281178Solar Pro 4
Design Arena: all code categories11651182Solar Pro 4
Design Arena: SVG1108Not measuredOnly GLM 4.6 measured
Neither model has a result on the other 2 boards here
GeneralLike-for-likePublic boards, shown as published, kept out of the index171
General benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
IFBench43.4%Not measuredOnly GLM 4.6 measured
Long context reasoning (AA-LCR)54.0%70.7%Solar Pro 4
LMArena Text14401388GLM 4.6
LMArena Text: instruction following14101375GLM 4.6
LMArena Text: creative writing14121317GLM 4.6
LMArena Text: English14491414GLM 4.6
LMArena Text: non-English14261363GLM 4.6
LMArena Text: Chinese14991422GLM 4.6
LMArena Text: German14471358GLM 4.6
LMArena Text: Japanese13931320GLM 4.6
LMArena Text: Korean14001383GLM 4.6
LMArena Text: French14591400GLM 4.6
LMArena Text: Spanish14361409GLM 4.6
LMArena Text: Russian14181357GLM 4.6
LMArena Text: Polish14471304GLM 4.6
LMArena Text: multi-turn14271385GLM 4.6
LMArena Text: longer queries14221382GLM 4.6
LMArena Text: writing and language14151344GLM 4.6
LMArena Text: entertainment and media14091332GLM 4.6
Neither model has a result on the other 27 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 4.6 and Solar Pro 4
BenchmarkGLM 4.6Solar Pro 4Leader
Neither model has a result on 5 boards here

What each workload costs

Three fixed token mixes at each model's listed price, so per-token rates become a bill.

Chat turn

1K input + 500 output tokens

GLM 4.6$0.0017Fits in one request
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

GLM 4.6$0.037Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

GLM 4.6$0.142Exceeds the context window
Solar Pro 4$0.036Fits in one request

Solar Pro 4 costs less

Listed OpenRouter rates, without cache or batch discounts. A workload that does not fit a model's context window would need splitting.

Specification differences

The leading value in a row is marked; a row with a missing value names no leader. Our two rows are marked in red.

Specifications of GLM 4.6 and Solar Pro 4
SpecificationZ.ai GLM 4.6Upstage Solar Pro 4
MakerZ.aiUpstage
WeightsOpen weightsNo public weights listed
ReleasedSeptember 30, 2025August 10, 2026
Context window205K524K
Input $/Mtok$0.60$0.15
Output $/Mtok$2.20$0.60
Coding index8.8Not benchmarked
Independent measurements behind it21
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 4.6 better than Solar Pro 4 for coding?

Only GLM 4.6 has a coding score, 8.8 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Pick Solar Pro 4 for output tokens 3.7x cheaper ($0.60 vs $2.20 per million) and a larger context window (524K against 205K tokens).

Which is cheaper, GLM 4.6 or Solar Pro 4?

GLM 4.6 costs $0.60 per million input tokens and $2.20 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for neither of them.

Which has the bigger context window, GLM 4.6 or Solar Pro 4?

Solar Pro 4, with 524K tokens against 205K.

How many benchmarks is the GLM 4.6 vs Solar Pro 4 comparison based on?

42 benchmarks have a result for both models as of October 22, 2026. GLM 4.6's coding index rests on 2 independent benchmarks and Solar Pro 4's on 1. Where only one model has a result, the page says so instead of naming a winner.

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