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GLM 5.3 Flash vs GPT-6 Sol

GPT-6 Sol leads GLM 5.3 Flash on coding, 76.0 to 57.7 on the Vibe Coding Index, and GLM 5.3 Flash costs 20.0x less per output token ($0.50 vs $10.00 per million). Updated October 22, 2026; 84 benchmarks have a result for both.

Replace GLM 5.3 Flash Replace GPT-6 Sol
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
42
GPT-6 SolOpenAI
Coding
76.0
Overall
74.6
Output $/M
$10.00
42
vs boards won of 84 shared

GLM 5.3 Flash or GPT-6 Sol: which to pick

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 5 benchmarks against 6.

Pick GLM 5.3 Flash for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

Model AGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved taskModel BGPT-6 SolOpenAI76.0/1005 independent benchmarksNo cost per solved task
Shared results
84
GLM 5.3 Flash only
18
GPT-6 Sol only
17
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 Flash 57.7 from 6 benchmarks, GPT-6 Sol 76.0 from 5 benchmarks.
Widest category
Math, 33.8 points apart on average over 6 shared benchmarks.
Widest single gap
FrontierMath, tier 4: GLM 5.3 Flash 17.1% against GPT-6 Sol 90.0%, 72.9 points apart on a 0 to 100 scale.
Output price
GLM 5.3 Flash $0.50 against GPT-6 Sol $10.00 per million output tokens, 20.0x apart.
Context window
GLM 5.3 Flash 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 5.3 FlashBarsGPT-6 SolTies
Coding215
Intelligence02
Agentic work46
Reasoning57
Math24
Knowledge40
Web design36
General222
All shared boards4242
CodingLike-for-likeSix of these boards feed the Vibe Coding Index215
Coding benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
LiveBench coding80.6%93.1%GPT-6 Sol
LMArena WebDev16071683GPT-6 Sol
AA Coding Index71.5Not measuredOnly GLM 5.3 Flash measured
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%44.4%GPT-6 Sol
Vibe Code Bench (Vals AI)30.8%87.8%GPT-6 Sol
Code migration (Vals AI)20.5%57.2%GPT-6 Sol
ProgramBench (Vals AI)0.0%2.0%GPT-6 Sol
IOI (Vals AI)52.5%82.6%GPT-6 Sol
Terminal-Bench 2.1 (Vals AI)62.9%83.2%GPT-6 Sol
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%78.0%GPT-6 Sol
SciCode51.6%57.6%GPT-6 Sol
FrontierCode31.8%49.3%GPT-6 Sol
FrontierSWE18.1%Not measuredOnly GLM 5.3 Flash measured
ALE-Bench303.62462.0GPT-6 Sol
LMArena Text: coding15071448GLM 5.3 Flash
LMArena Text: software and IT15001433GLM 5.3 Flash
LMArena WebDev: React16241685GPT-6 Sol
LMArena WebDev: HTML15771685GPT-6 Sol
LMArena WebDev: from an image15781660GPT-6 Sol
Neither model has a result on the other 16 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
AA Intelligence Index41.847.6GPT-6 Sol
Epoch Capabilities Index153.1163.7GPT-6 Sol
Agentic workLike-for-likePublic boards, shown as published, kept out of the index46
Agentic work benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
AA Agentic Index50.9Not measuredOnly GLM 5.3 Flash 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 appsNot measured1217Only GPT-6 Sol measured
LiveBench research70.1%69.3%GLM 5.3 Flash
LiveBench browser84.0%92.0%GPT-6 Sol
LiveBench long agentic28.4%66.9%GPT-6 Sol
SREBench (Vals AI)0.8%30.5%GPT-6 Sol
Finance Agent (Vals AI)57.9%49.0%GLM 5.3 Flash
Tax Agent Bench (Vals AI)31.6%15.0%GLM 5.3 Flash
Legal Research Bench (Vals AI)45.2%28.9%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)55.9%71.5%GPT-6 Sol
BioMysteryBench (Vals AI)Not measured74.8%Only GPT-6 Sol measured
Terminal-Bench-Science (Vals AI)2.9%30.0%GPT-6 Sol
Vals Science IndexNot measured45.0%Only GPT-6 Sol measured
APEX-Agents52.8%54.3%GPT-6 Sol
SpireClimbNot measured7.5%Only GPT-6 Sol measured
Vending-Bench 2Not measured$14,428Only GPT-6 Sol measured
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index57
Reasoning benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
GPQA Diamond86.4%Not measuredOnly GLM 5.3 Flash measured
LiveBench reasoning77.6%88.7%GPT-6 Sol
MysteryMechanism (Vals AI)Not measured30.2%Only GPT-6 Sol measured
MMMU Pro (Vals AI)86.0%Not measuredOnly GLM 5.3 Flash measured
GPQA Diamond (Artificial Analysis run)91.2%Not measuredOnly GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)39.9%47.9%GPT-6 Sol
GPQA Diamond (Epoch AI run)90.2%94.3%GPT-6 Sol
ARC-AGI91.0%95.5%GPT-6 Sol
ARC-AGI-265.8%89.6%GPT-6 Sol
Chess puzzles21.0%56.0%GPT-6 Sol
Mystery game puzzles8.0%56.0%GPT-6 Sol
EBR-benchNot measured53.3%Only GPT-6 Sol measured
LMArena Text: hard prompts14901422GLM 5.3 Flash
LMArena Text: expert15111437GLM 5.3 Flash
LMArena Text: hard prompts in English14881420GLM 5.3 Flash
LMArena Vision: diagrams13171270GLM 5.3 Flash
LMArena Vision: homework13181286GLM 5.3 Flash
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index24
Math benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
OTIS Mock AIME93.9%100.0%GPT-6 Sol
FrontierMath, tiers 1 to 355.8%89.8%GPT-6 Sol
FrontierMath, tier 417.1%90.0%GPT-6 Sol
ProofBench21.0%83.0%GPT-6 Sol
LMArena Text: math15031407GLM 5.3 Flash
LMArena Text: mathematical work14971424GLM 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 GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
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
MedCode (Vals AI)Not measured47.1%Only GPT-6 Sol measured
SimpleQA VerifiedNot measured60.7%Only GPT-6 Sol measured
LMArena Text: science14841389GLM 5.3 Flash
LMArena Text: medicine and healthcare14751366GLM 5.3 Flash
LMArena Text: legal and government14731396GLM 5.3 Flash
LMArena Text: business and finance14601380GLM 5.3 Flash
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 index36
Web design benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
Design Arena: websites12721292GPT-6 Sol
Design Arena: UI components13161290GLM 5.3 Flash
Design Arena: game dev12781311GPT-6 Sol
Design Arena: data viz12621269GPT-6 Sol
Design Arena: 3D13161314GLM 5.3 Flash
Design Arena: all code categories12821300GPT-6 Sol
Design Arena: SVG12851315GPT-6 Sol
Design Arena: ASCII art12671222GLM 5.3 Flash
LiveBench design77.2%82.2%GPT-6 Sol
GeneralLike-for-likePublic boards, shown as published, kept out of the index222
General benchmarks for GLM 5.3 Flash and GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-6 SolLeader
Vals Index50.9%Not measuredOnly GLM 5.3 Flash measured
LiveBench data analysis76.4%81.2%GPT-6 Sol
Public Benefits Bench (Vals AI)Not measured56.6%Only GPT-6 Sol measured
SAGE (Vals AI)Not measured44.8%Only GPT-6 Sol measured
MedScribe (Vals AI)88.9%82.0%GLM 5.3 Flash
Long context reasoning (AA-LCR)80.0%83.7%GPT-6 Sol
DTBenchNot measured97.3%Only GPT-6 Sol measured
LMCANot measured59.1%Only GPT-6 Sol measured
Surface Evolver Bench52.5%Not measuredOnly GLM 5.3 Flash measured
Furniture assemblyNot measured58.3%Only GPT-6 Sol measured
LMArena Text14711398GLM 5.3 Flash
LMArena Text: instruction following14781413GLM 5.3 Flash
LMArena Text: creative writing14411378GLM 5.3 Flash
LMArena Vision12941240GLM 5.3 Flash
LMArena Text: English14741396GLM 5.3 Flash
LMArena Text: non-English14621388GLM 5.3 Flash
LMArena Text: Chinese15311412GLM 5.3 Flash
LMArena Text: German14621379GLM 5.3 Flash
LMArena Text: Japanese14441377GLM 5.3 Flash
LMArena Text: Korean14361336GLM 5.3 Flash
LMArena Text: French14911399GLM 5.3 Flash
LMArena Text: Spanish14751387GLM 5.3 Flash
LMArena Text: Russian14651402GLM 5.3 Flash
LMArena Text: Polish14501372GLM 5.3 Flash
LMArena Text: multi-turn14691414GLM 5.3 Flash
LMArena Text: longer queries14811416GLM 5.3 Flash
LMArena Text: writing and language14551389GLM 5.3 Flash
LMArena Text: entertainment and media14401373GLM 5.3 Flash
LMArena Vision: English12951229GLM 5.3 Flash
LMArena Vision: Chinese1363Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: reading text12991258GLM 5.3 Flash
LMArena Vision: humor1279Not measuredOnly GLM 5.3 Flash measured
LMArena Vision: creative writing12701219GLM 5.3 Flash
Neither model has a result on the other 13 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 GPT-6 Sol
BenchmarkGLM 5.3 FlashGPT-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 Flash$0.0004Fits in one request
GPT-6 Sol$0.0070Fits 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
GPT-6 Sol$0.130Fits 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
GPT-6 Sol$0.500Fits 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 GPT-6 Sol
SpecificationZ.ai GLM 5.3 FlashOpenAI GPT-6 Sol
MakerZ.aiOpenAI
WeightsOpen weightsNo public weights listed
ReleasedAugust 26, 2026September 22, 2026
Context window1.05M1.05M
Input $/Mtok$0.15$2.00
Output $/Mtok$0.50$10.00
Coding index57.776.0
Independent measurements behind it65
Cost per solved task$0.02Not computable
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GPT-6 Sol for coding: it scores 76.0 on the Vibe Coding Index against 57.7 for GLM 5.3 Flash, though on 5 benchmarks against 6. Pick GLM 5.3 Flash for output tokens 20.0x cheaper ($0.50 vs $10.00 per million) and work measured by LMArena Text: coding or LMArena Text: software and IT, where it leads.

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

GLM 5.3 Flash costs $0.15 per million input tokens and $0.50 per million output tokens; GPT-6 Sol costs $2.00 and $10.00. Cost per solved task is known for GLM 5.3 Flash only.

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

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

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

84 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 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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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/glm-5-3-flash-vs-gpt-6-sol">LLMBenchmark.ai, GLM 5.3 Flash vs GPT-6 Sol</a></p>