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GLM 5.3 vs GPT-6 Sol

GPT-6 Sol leads GLM 5.3 on coding, 76.0 to 70.6 on the Vibe Coding Index, and GLM 5.3 costs 2.3x less per output token ($4.40 vs $10.00 per million). Updated October 22, 2026; 83 benchmarks have a result for both.

Replace GLM 5.3 Replace GPT-6 Sol
GLM 5.3Z.ai
Coding
70.6
Overall
67.9
Output $/M
$4.40
40
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
42
vs boards won of 83 shared, 1 tied

GLM 5.3 or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6.

Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Model AGLM 5.3Z.ai70.6/1006 independent benchmarks$0.36 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
83
GLM 5.3 only
17
GPT-6 Sol only
18
Like-for-like categories
8 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, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 25.2 points apart on average over 6 shared benchmarks.
Widest single gap
LiveBench browser: GLM 5.3 0.0% against GPT-6 Sol 92.0%, 92.0 points apart on a 0 to 100 scale.
Output price
GLM 5.3 $4.40 against GPT-6 Sol $10.00 per million output tokens, 2.3x apart.
Context window
GLM 5.3 takes 1.05M tokens, GPT-6 Sol 1.05M.

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 5.3BarsGPT-6 SolTies
Coding313
Intelligence02
Agentic work57
Reasoning36
Math24
Knowledge42
Web design441 tie
General194
All shared boards40421 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index313
Coding benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
LiveBench coding82.8%93.1%GPT-6 Sol
LMArena WebDev16211683GPT-6 Sol
AA Coding Index74.8Not measuredOnly GLM 5.3 measured
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%44.4%GPT-6 Sol
Vibe Code Bench (Vals AI)78.1%87.8%GPT-6 Sol
Code migration (Vals AI)44.2%57.2%GPT-6 Sol
ProgramBench (Vals AI)1.5%2.0%GPT-6 Sol
IOI (Vals AI)68.4%82.6%GPT-6 Sol
Terminal-Bench 2.1 (Vals AI)71.5%83.2%GPT-6 Sol
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%78.0%GPT-6 Sol
SciCode59.0%57.6%GLM 5.3
FrontierCode40.1%49.3%GPT-6 Sol
FrontierSWE30.2%Not measuredOnly GLM 5.3 measured
WeirdML75.4%Not measuredOnly GLM 5.3 measured
ALE-Bench1317.42462.0GPT-6 Sol
LMArena Text: coding14971448GLM 5.3
LMArena Text: software and IT14931433GLM 5.3
LMArena WebDev: React16411685GPT-6 Sol
LMArena WebDev: HTML15951685GPT-6 Sol
LMArena WebDev: from an imageNot measured1660Only GPT-6 Sol measured
Neither model has a result on the other 15 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
AA Intelligence Index44.847.6GPT-6 Sol
Epoch Capabilities Index156.0163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index57
Agentic work benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
AA Agentic Index53.1Not measuredOnly GLM 5.3 measured
Design Arena: agents building web appsNot measured1231Only GPT-6 Sol measured
Design Arena: agents building full-stack appsNot measured1238Only GPT-6 Sol measured
Design Arena: agents building mobile apps11941217GPT-6 Sol
Design Arena: HTML slides1189Not measuredOnly GLM 5.3 measured
Design Arena: PowerPoint slides1230Not measuredOnly GLM 5.3 measured
LiveBench research73.2%69.3%GLM 5.3
LiveBench browser0.0%92.0%GPT-6 Sol
LiveBench long agentic35.9%66.9%GPT-6 Sol
SREBench (Vals AI)9.2%30.5%GPT-6 Sol
Finance Agent (Vals AI)55.8%49.0%GLM 5.3
Tax Agent Bench (Vals AI)39.7%15.0%GLM 5.3
Legal Research Bench (Vals AI)49.0%28.9%GLM 5.3
Harvey's Legal Agent Benchmark (Vals AI)14.6%Not measuredOnly GLM 5.3 measured
Excel Modeling Benchmark (Vals AI)56.3%71.5%GPT-6 Sol
BioMysteryBench (Vals AI)Not measured74.8%Only GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)5.7%30.0%GPT-6 Sol
Vals Science IndexNot measured45.0%Only GPT-6 Sol measured
APEX-Agents56.6%54.3%GLM 5.3
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2$8,164$14,428GPT-6 Sol
Neither model has a result on the other 20 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index36
Reasoning benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
GPQA Diamond88.1%Not measuredOnly GLM 5.3 measured
LiveBench reasoning85.8%88.7%GPT-6 Sol
MysteryMechanism (Vals AI)23.0%30.2%GPT-6 Sol
GPQA Diamond (Artificial Analysis run)91.7%Not measuredOnly GLM 5.3 measured
Humanity's Last Exam (Artificial Analysis run)42.3%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)90.9%94.3%GPT-6 Sol
ARC-AGINot measured95.5%Only GPT-6 Sol measured
ARC-AGI-2Not measured89.6%Only GPT-6 Sol measured
Chess puzzles37.0%56.0%GPT-6 Sol
Mystery game puzzles33.0%56.0%GPT-6 Sol
EBR-benchNot measured53.3%Only GPT-6 Sol measured
LMArena Text: hard prompts14901422GLM 5.3
LMArena Text: expert15141437GLM 5.3
LMArena Text: hard prompts in English14961420GLM 5.3
LMArena Vision: diagramsNot measured1270Only GPT-6 Sol measured
LMArena Vision: homeworkNot measured1286Only GPT-6 Sol measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
OTIS Mock AIME91.1%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 368.8%89.8%GPT-6 Sol
FrontierMath, tier 429.3%90.0%GPT-6 Sol
ProofBench49.0%83.0%GPT-6 Sol
LMArena Text: math14951407GLM 5.3
LMArena Text: mathematical work14971424GLM 5.3
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index42
Knowledge benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
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%47.1%GPT-6 Sol
SimpleQA Verified41.0%60.7%GPT-6 Sol
LMArena Text: science14981389GLM 5.3
LMArena Text: medicine and healthcare14811366GLM 5.3
LMArena Text: legal and government14731396GLM 5.3
LMArena Text: business and finance14591380GLM 5.3
FACTS Benchmark SuiteNot measured72.5%Only GPT-6 Sol measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index44
Web design benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
Design Arena: websites12951292GLM 5.3
Design Arena: UI components13141290GLM 5.3
Design Arena: game dev13111311Tie
Design Arena: data viz12601269GPT-6 Sol
Design Arena: 3D13321314GLM 5.3
Design Arena: all code categories13041300GLM 5.3
Design Arena: SVG12941315GPT-6 Sol
Design Arena: ASCII art12081222GPT-6 Sol
LiveBench design77.3%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index194
General benchmarks for GLM 5.3 and GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
Vals Index59.7%Not measuredOnly GLM 5.3 measured
LiveBench data analysis70.2%81.2%GPT-6 Sol
Public Benefits Bench (Vals AI)68.5%56.6%GLM 5.3
SAGE (Vals AI)Not measured44.8%Only GPT-6 Sol measured
MedScribe (Vals AI)88.8%82.0%GLM 5.3
Long context reasoning (AA-LCR)79.7%83.7%GPT-6 Sol
DTBench87.7%97.3%GPT-6 Sol
LMCA55.5%59.1%GPT-6 Sol
Furniture assemblyNot measured58.3%Only GPT-6 Sol measured
LMArena Text14741398GLM 5.3
LMArena Text: instruction following14791413GLM 5.3
LMArena Text: creative writing14581378GLM 5.3
LMArena VisionNot measured1240Only GPT-6 Sol measured
LMArena Text: English14821396GLM 5.3
LMArena Text: non-English14591388GLM 5.3
LMArena Text: Chinese15321412GLM 5.3
LMArena Text: German14881379GLM 5.3
LMArena Text: Japanese14601377GLM 5.3
LMArena Text: Korean14601336GLM 5.3
LMArena Text: French15031399GLM 5.3
LMArena Text: Spanish14621387GLM 5.3
LMArena Text: Russian14691402GLM 5.3
LMArena Text: Polish14661372GLM 5.3
LMArena Text: multi-turn14721414GLM 5.3
LMArena Text: longer queries14831416GLM 5.3
LMArena Text: writing and language14691389GLM 5.3
LMArena Text: entertainment and media14471373GLM 5.3
LMArena Vision: EnglishNot measured1229Only GPT-6 Sol measured
LMArena Vision: reading textNot measured1258Only GPT-6 Sol measured
LMArena Vision: creative writingNot measured1219Only GPT-6 Sol measured
Neither model has a result on the other 16 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 GPT-6 Sol
BenchmarkGLM 5.3GPT-6 SolLeader
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
GPT-6 Sol$0.0070Fits in one request

GLM 5.3 costs less

Repository review

50K input + 3K output tokens

GLM 5.3$0.083Fits in one request
GPT-6 Sol$0.130Fits in one request

GLM 5.3 costs less

Agent loop

200K input + 10K output tokens

GLM 5.3$0.324Fits in one request
GPT-6 Sol$0.500Fits in one request

GLM 5.3 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 GPT-6 Sol
SpecificationZ.ai GLM 5.3OpenAI GPT-6 Sol
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 18, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$1.40$2.00
Output $/Mtok$4.40$10.00
Coding index70.676.0
Independent measurements behind it65
Cost per solved task$0.36Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is GLM 5.3 better than GPT-6 Sol for coding?

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 70.6 for GLM 5.3, though on 5 benchmarks against 6. Pick GLM 5.3 for output tokens 2.3x cheaper ($4.40 vs $10.00 per million) and work measured by SciCode or LMArena Text: coding, where it leads.

Which is cheaper, GLM 5.3 or GPT-6 Sol?

GLM 5.3 costs $1.40 per million input tokens and $4.40 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for GLM 5.3 only.

Which has the bigger context window, GLM 5.3 or GPT-6 Sol?

GPT-6 Sol, with 1.05M tokens against 1.05M.

How many benchmarks is the GLM 5.3 vs GPT-6 Sol comparison based on?

83 benchmarks have a result for both models as of October 22, 2026. GLM 5.3's coding index rests on 6 independent benchmarks and GPT-6 Sol's on 5. Where only one model has a result, the page says so instead of naming a winner.

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