Enter opens the highlighted result. Esc closes.

GLM 5.3 Flash vs Solar Pro 4

GLM 5.3 Flash leads Solar Pro 4 on the Artificial Analysis Intelligence Index, 41.8 to 28.2, and GLM 5.3 Flash costs 1.2x less per output token ($0.50 vs $0.60 per million). Updated October 22, 2026; 44 benchmarks have a result for both.

GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
44
Solar Pro 4Upstage
Coding
No data
Overall
No data
Output $/M
$0.60
0
vs boards won of 44 shared

GLM 5.3 Flash or Solar Pro 4: which to pick

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding.

Compare them on price, context and the boards below.

Shared results
44
GLM 5.3 Flash only
58
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 Flash 57.7 from 6 benchmarks, Solar Pro 4 not benchmarked.
Widest category
Coding, 19.7 points apart on average over 8 shared benchmarks.
Widest single gap
LMArena WebDev: React: GLM 5.3 Flash 1624 against Solar Pro 4 1363, 39.5 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against Solar Pro 4 $0.60 per million output tokens, 1.2x apart.
Context window
GLM 5.3 Flash 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 5.3 FlashBarsSolar 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 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
LiveBench coding80.6%Not measuredOnly GLM 5.3 Flash measured
LMArena WebDev16071371GLM 5.3 Flash
AA Coding Index71.552.7GLM 5.3 Flash
LiveCodeBench (Vals AI)80.5%Not measuredOnly GLM 5.3 Flash measured
SWE-bench Verified (Vals AI)92.0%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 4 (Vals AI)37.4%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)30.8%Not measuredOnly GLM 5.3 Flash measured
Code migration (Vals AI)20.5%Not measuredOnly GLM 5.3 Flash measured
ProgramBench (Vals AI)0.0%Not measuredOnly GLM 5.3 Flash measured
IOI (Vals AI)52.5%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)62.9%Not measuredOnly GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)16.0%Not measuredOnly GLM 5.3 Flash measured
SkillsBench (Vals AI)40.2%Not measuredOnly GLM 5.3 Flash measured
CyberBench (Vals AI)67.9%Not measuredOnly GLM 5.3 Flash measured
SciCode51.6%48.0%GLM 5.3 Flash
FrontierCode31.8%Not measuredOnly GLM 5.3 Flash measured
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.6179.3GLM 5.3 Flash
LMArena Text: coding15071438GLM 5.3 Flash
LMArena Text: software and IT15001431GLM 5.3 Flash
LMArena WebDev: React16241363GLM 5.3 Flash
LMArena WebDev: HTML15771371GLM 5.3 Flash
LMArena WebDev: from an image1578Not measuredOnly GLM 5.3 Flash measured
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 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
AA Intelligence Index41.828.2GLM 5.3 Flash
Epoch Capabilities Index153.1Not measuredOnly GLM 5.3 Flash measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index13 boards, none shared
Agentic work benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash measured
Design Arena: agents building web appsNot measured1105Only Solar Pro 4 measured
LiveBench research70.1%Not measuredOnly GLM 5.3 Flash measured
LiveBench browser84.0%Not measuredOnly GLM 5.3 Flash measured
LiveBench long agentic28.4%Not measuredOnly GLM 5.3 Flash measured
SREBench (Vals AI)0.8%Not measuredOnly GLM 5.3 Flash measured
Finance Agent (Vals AI)57.9%Not measuredOnly GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)31.6%Not measuredOnly GLM 5.3 Flash measured
Legal Research Bench (Vals AI)45.2%Not measuredOnly GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%Not measuredOnly GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)2.9%Not measuredOnly GLM 5.3 Flash measured
APEX-Agents52.8%Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%Not measuredOnly GLM 5.3 Flash measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%89.1%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)39.9%29.8%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)90.2%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI91.0%Not measuredOnly GLM 5.3 Flash measured
ARC-AGI-265.8%Not measuredOnly GLM 5.3 Flash measured
Chess puzzles21.0%Not measuredOnly GLM 5.3 Flash measured
Mystery game puzzles8.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: hard prompts14901400GLM 5.3 Flash
LMArena Text: expert15111428GLM 5.3 Flash
LMArena Text: hard prompts in English14881427GLM 5.3 Flash
LMArena Vision: diagrams1317Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: homework1318Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
OTIS Mock AIME93.9%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tiers 1 to 355.8%Not measuredOnly GLM 5.3 Flash measured
FrontierMath, tier 417.1%Not measuredOnly GLM 5.3 Flash measured
ProofBench21.0%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: math15031421GLM 5.3 Flash
LMArena Text: mathematical work14971427GLM 5.3 Flash
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 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
MMLU Pro86.1%Not measuredOnly GLM 5.3 Flash measured
LegalBench (Vals AI)83.9%Not measuredOnly GLM 5.3 Flash measured
TaxEval (Vals AI)75.6%Not measuredOnly GLM 5.3 Flash measured
LMArena Text: science14841404GLM 5.3 Flash
LMArena Text: medicine and healthcare14751374GLM 5.3 Flash
LMArena Text: legal and government14731383GLM 5.3 Flash
LMArena Text: business and finance14601381GLM 5.3 Flash
Neither model has a result on the other 11 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
Design Arena: websites12721176GLM 5.3 Flash
Design Arena: UI components13161147GLM 5.3 Flash
Design Arena: game dev12781169GLM 5.3 Flash
Design Arena: data viz12621177GLM 5.3 Flash
Design Arena: 3D13161178GLM 5.3 Flash
Design Arena: all code categories12821182GLM 5.3 Flash
Design Arena: SVG1285Not measuredOnly GLM 5.3 Flash measured
Design Arena: ASCII art1267Not measuredOnly GLM 5.3 Flash measured
LiveBench design77.2%Not measuredOnly GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar Pro 4Leader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%Not measuredOnly GLM 5.3 Flash measured
MedScribe (Vals AI)88.9%Not measuredOnly GLM 5.3 Flash measured
Long context reasoning (AA-LCR)80.0%70.7%GLM 5.3 Flash
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
LMArena Text14711388GLM 5.3 Flash
LMArena Text: instruction following14781375GLM 5.3 Flash
LMArena Text: creative writing14411317GLM 5.3 Flash
LMArena Vision1294Not measuredOnly GLM 5.3 Flash measured
LMArena Text: English14741414GLM 5.3 Flash
LMArena Text: non-English14621363GLM 5.3 Flash
LMArena Text: Chinese15311422GLM 5.3 Flash
LMArena Text: German14621358GLM 5.3 Flash
LMArena Text: Japanese14441320GLM 5.3 Flash
LMArena Text: Korean14361383GLM 5.3 Flash
LMArena Text: French14911400GLM 5.3 Flash
LMArena Text: Spanish14751409GLM 5.3 Flash
LMArena Text: Russian14651357GLM 5.3 Flash
LMArena Text: Polish14501304GLM 5.3 Flash
LMArena Text: multi-turn14691385GLM 5.3 Flash
LMArena Text: longer queries14811382GLM 5.3 Flash
LMArena Text: writing and language14551344GLM 5.3 Flash
LMArena Text: entertainment and media14401332GLM 5.3 Flash
LMArena Vision: English1295Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text1299Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing1270Not measuredOnly GLM 5.3 Flash measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for GLM 5.3 Flash and Solar Pro 4
BenchmarkGLM 5.3 FlashSolar 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 Flash$0.0004Fits in one request
Solar Pro 4$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

GLM 5.3 Flash$0.0090Fits in one request
Solar Pro 4$0.0093Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

GLM 5.3 Flash$0.035Fits in one request
Solar Pro 4$0.036Fits in one request

GLM 5.3 Flash 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 Flash and Solar Pro 4
SpecificationZ.ai GLM 5.3 FlashUpstage Solar Pro 4
MakerZ.aiUpstage
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026August 10, 2026
Context window1.05M524K
Input $/Mtok$0.15$0.15
Output $/Mtok$0.50$0.60
Coding index57.7Not benchmarked
Independent measurements behind it61
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 Flash better than Solar Pro 4 for coding?

Only GLM 5.3 Flash has a coding score, 57.7 on the Vibe Coding Index; Solar Pro 4 has none, so the two cannot be ranked on coding. Compare them on price, context and the boards below.

Which is cheaper, GLM 5.3 Flash or Solar Pro 4?

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; Solar Pro 4 costs $0.15 and $0.60. Cost per solved task is known for GLM 5.3 Flash only.

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

GLM 5.3 Flash, with 1.05M tokens against 524K.

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

44 benchmarks have a result for both models as of October 22, 2026. GLM 5.3 Flash'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.

Compare next