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GLM 5.3 vs Solar Pro 4

GLM 5.3 leads Solar Pro 4 on the Artificial Analysis Intelligence Index, 44.8 to 28.2, and Solar Pro 4 costs 7.3x less per output token ($0.60 vs $4.40 per million). Updated October 21, 2026; 44 benchmarks have a result for both.

Replace GLM 5.3 Replace Solar Pro 4
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
44
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 44 shared

GLM 5.3 or Solar Pro 4: which to pick

Only GLM 5.3 has a coding score, 70.6 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 7.3x cheaper ($0.60 vs $4.40 per million).

Model AGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved taskModel BSolar Pro 4UpstageNot benchmarked1 independent benchmarkNo cost per solved task
Shared results
44
GLM 5.3 only
56
Solar Pro 4 only
1
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 5.3 70.6 from 6 benchmarks, Solar Pro 4 not benchmarked.
Widest category
Coding, 25.5 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: React: GLM 5.3 1641 against Solar Pro 4 1363, 39.5 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $4.40 against Solar Pro 4 $0.60 per million output tokens, 7.3x apart.
Context window
GLM 5.3 takes 1.05M 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 5.3BarsSolar Pro 4Ties
Coding80
Intelligence10
Reasoning50
Math20
Knowledge40
Web design60
General180
All shared boards440
CodingLike-for-likeSix of these boards feed the Vibe Coding Index80
Coding benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
LiveBench coding82.8%Not measuredOnly GLM 5.3 measured
LMArena WebDev16211371GLM 5.3
AA Coding Index74.852.7GLM 5.3
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 measured
SWE-bench Verified (Vals AI)95.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 4 (Vals AI)38.9%Not measuredOnly GLM 5.3 measured
Vibe Code Bench (Vals AI)78.1%Not measuredOnly GLM 5.3 measured
Code migration (Vals AI)44.2%Not measuredOnly GLM 5.3 measured
ProgramBench (Vals AI)1.5%Not measuredOnly GLM 5.3 measured
IOI (Vals AI)68.4%Not measuredOnly GLM 5.3 measured
Terminal-Bench 2.1 (Vals AI)71.5%Not measuredOnly GLM 5.3 measured
Vibe Code Bench 1-100 (Vals AI)20.0%Not measuredOnly GLM 5.3 measured
SkillsBench (Vals AI)47.5%Not measuredOnly GLM 5.3 measured
CyberBench (Vals AI)72.1%Not measuredOnly GLM 5.3 measured
SciCode59.0%48.0%GLM 5.3
FrontierCode40.1%Not measuredOnly GLM 5.3 measured
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%Not measuredOnly GLM 5.3 measured
ALE-Bench1317.4179.3GLM 5.3
LMArena Text: coding14971438GLM 5.3
LMArena Text: software and IT14931431GLM 5.3
LMArena WebDev: React16411363GLM 5.3
LMArena WebDev: HTML15951371GLM 5.3
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
AA Intelligence Index44.828.2GLM 5.3
Epoch Capabilities Index156.0Not measuredOnly GLM 5.3 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index17 boards, none shared
Agentic work benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
AA Agentic Index53.1Not measuredOnly GLM 5.3 measured
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
Design Arena: agents building mobile apps1194Not measuredOnly GLM 5.3 measured
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides1254Not measuredOnly GLM 5.3 measured
LiveBench research73.2%Not measuredOnly GLM 5.3 measured
LiveBench browser0.0%Not measuredOnly GLM 5.3 measured
LiveBench long agentic35.9%Not measuredOnly GLM 5.3 measured
SREBench (Vals AI)9.2%Not measuredOnly GLM 5.3 measured
Finance Agent (Vals AI)55.8%Not measuredOnly GLM 5.3 measured
Tax Agent Bench (Vals AI)39.7%Not measuredOnly GLM 5.3 measured
Legal Research Bench (Vals AI)49.0%Not measuredOnly GLM 5.3 measured
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%Not measuredOnly GLM 5.3 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly GLM 5.3 measured
APEX-Agents56.6%Not measuredOnly GLM 5.3 measured
Vending-Bench 2$8,164Not measuredOnly GLM 5.3 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
LiveBench reasoning85.8%Not measuredOnly GLM 5.3 measured
MysteryMechanism (Vals AI)23.0%Not measuredOnly GLM 5.3 measured
GPQA Diamond (Artificial Analysis run)91.7%89.1%GLM 5.3
Humanity's Last Exam (Artificial Analysis run)42.3%29.8%GLM 5.3
GPQA Diamond (Epoch AI run)90.9%Not measuredOnly GLM 5.3 measured
Chess puzzles37.0%Not measuredOnly GLM 5.3 measured
Mystery game puzzles33.0%Not measuredOnly GLM 5.3 measured
LMArena Text: hard prompts14901400GLM 5.3
LMArena Text: expert15141428GLM 5.3
LMArena Text: hard prompts in English14961427GLM 5.3
Neither model has a result on the other 11 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
OTIS Mock AIME91.1%Not measuredOnly GLM 5.3 measured
FrontierMath, tiers 1 to 368.8%Not measuredOnly GLM 5.3 measured
FrontierMath, tier 429.3%Not measuredOnly GLM 5.3 measured
ProofBench49.0%Not measuredOnly GLM 5.3 measured
LMArena Text: math14951421GLM 5.3
LMArena Text: mathematical work14971427GLM 5.3
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 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
MMLU Pro86.8%Not measuredOnly GLM 5.3 measured
LegalBench (Vals AI)84.8%Not measuredOnly GLM 5.3 measured
TaxEval (Vals AI)72.4%Not measuredOnly GLM 5.3 measured
MedCode (Vals AI)42.9%Not measuredOnly GLM 5.3 measured
SimpleQA Verified41.0%Not measuredOnly GLM 5.3 measured
LMArena Text: science14981404GLM 5.3
LMArena Text: medicine and healthcare14811374GLM 5.3
LMArena Text: legal and government14731383GLM 5.3
LMArena Text: business and finance14591381GLM 5.3
Neither model has a result on the other 9 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
Design Arena: websites12951176GLM 5.3
Design Arena: UI components13141150GLM 5.3
Design Arena: game dev13111170GLM 5.3
Design Arena: data viz12591177GLM 5.3
Design Arena: 3D13321178GLM 5.3
Design Arena: all code categories13041182GLM 5.3
Design Arena: SVG1293Not measuredOnly GLM 5.3 measured
Design Arena: ASCII art1213Not measuredOnly GLM 5.3 measured
LiveBench design77.3%Not measuredOnly GLM 5.3 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar Pro 4Leader
Vals Index59.7%Not measuredOnly GLM 5.3 measured
LiveBench data analysis70.2%Not measuredOnly GLM 5.3 measured
Public Benefits Bench (Vals AI)68.5%Not measuredOnly GLM 5.3 measured
MedScribe (Vals AI)88.8%Not measuredOnly GLM 5.3 measured
Long context reasoning (AA-LCR)79.7%70.7%GLM 5.3
DTBench87.7%Not measuredOnly GLM 5.3 measured
LMCA55.5%Not measuredOnly GLM 5.3 measured
LMArena Text14741388GLM 5.3
LMArena Text: instruction following14791375GLM 5.3
LMArena Text: creative writing14581317GLM 5.3
LMArena Text: English14821414GLM 5.3
LMArena Text: non-English14591363GLM 5.3
LMArena Text: Chinese15321422GLM 5.3
LMArena Text: German14881358GLM 5.3
LMArena Text: Japanese14601320GLM 5.3
LMArena Text: Korean14601383GLM 5.3
LMArena Text: French15031400GLM 5.3
LMArena Text: Spanish14621409GLM 5.3
LMArena Text: Russian14691357GLM 5.3
LMArena Text: Polish14661304GLM 5.3
LMArena Text: multi-turn14721385GLM 5.3
LMArena Text: longer queries14831382GLM 5.3
LMArena Text: writing and language14691344GLM 5.3
LMArena Text: entertainment and media14471332GLM 5.3
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 and Solar Pro 4
BenchmarkGLM 5.3Solar 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 5.3$0.0036Fits in one request
Solar Pro 4$0.0004Fits in one request

Solar Pro 4 costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.083Fits in one request
Solar Pro 4$0.0093Fits in one request

Solar Pro 4 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.324Fits in one request
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 5.3 and Solar Pro 4
SpecificationZ.ai GLM 5.3Upstage Solar Pro 4
MakerZ.aiUpstage
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026August 10, 2026
Context window1.05M524K
Input $/Mtok$1.40$0.15
Output $/Mtok$4.40$0.60
Coding index70.6Not benchmarked
Independent measurements behind it61
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than Solar Pro 4 for coding?

Only GLM 5.3 has a coding score, 70.6 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 7.3x cheaper ($0.60 vs $4.40 per million).

Which is cheaper, GLM 5.3 or Solar Pro 4?

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, GLM 5.3 or Solar Pro 4?

GLM 5.3, with 1.05M tokens against 524K.

How many benchmarks is the GLM 5.3 vs Solar Pro 4 comparison based on?

44 benchmarks have a result for both models as of October 21, 2026. GLM 5.3's coding index rests on 6 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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