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Claude Opus 4.5 vs GLM 5.3 Flash

GLM 5.3 Flash leads Claude Opus 4.5 on coding, 57.7 to 44.0 on the Vibe Coding Index, and GLM 5.3 Flash costs 50.0x less per output token ($0.50 vs $25.00 per million). Updated October 22, 2026; 62 benchmarks have a result for both.

Replace Claude Opus 4.5 Replace GLM 5.3 Flash
Claude Opus 4.5Anthropic
Coding
44.0
Overall
55.7
Output $/M
$25.00
7
GLM 5.3 FlashZ.ai
Coding
57.7
Overall
66.0
Output $/M
$0.50
55
vs boards won of 62 shared

Claude Opus 4.5 or GLM 5.3 Flash: which to pick

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 44.0 for Claude Opus 4.5.

Pick Claude Opus 4.5 for work measured by LiveCodeBench (Vals AI) or Mystery game puzzles, where it leads.

Model AClaude Opus 4.5Anthropic44.0/1003 independent benchmarks$1.37 per solved taskModel BGLM 5.3 FlashZ.ai57.7/1006 independent benchmarks$0.02 per solved task
Shared results
62
Claude Opus 4.5 only
46
GLM 5.3 Flash only
40
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
Claude Opus 4.5 44.0 from 3 benchmarks, GLM 5.3 Flash 57.7 from 6 benchmarks.
Widest category
Math, 11.3 points apart on average over 6 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 4.5 37.6% against GLM 5.3 Flash 65.8%, 28.2 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.5 $25.00 against GLM 5.3 Flash $0.50 per million output tokens, 50.0x apart.
Context window
Claude Opus 4.5 takes 200K tokens, GLM 5.3 Flash 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
CategoryClaude Opus 4.5BarsGLM 5.3 FlashTies
Coding17
Intelligence02
Reasoning111
Math15
Knowledge25
Web design08
General217
All shared boards755
CodingLike-for-likeSix of these boards feed the Vibe Coding Index17
Coding benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
SWE-bench Verified79.2%Not measuredOnly Claude Opus 4.5 measured
SWE-bench (full test set)52.6%Not measuredOnly Claude Opus 4.5 measured
SWE-bench Multilingual70.7%Not measuredOnly Claude Opus 4.5 measured
LiveBench codingNot measured80.6%Only GLM 5.3 Flash measured
LMArena WebDev14941607GLM 5.3 Flash
AA Coding IndexNot measured71.5Only GLM 5.3 Flash measured
LiveCodeBench (Vals AI)83.7%80.5%Claude Opus 4.5
SWE-bench Verified (Vals AI)76.4%92.0%GLM 5.3 Flash
Terminal-Bench 4 (Vals AI)Not measured37.4%Only GLM 5.3 Flash measured
Vibe Code Bench (Vals AI)20.6%30.8%GLM 5.3 Flash
Code migration (Vals AI)Not measured20.5%Only GLM 5.3 Flash measured
ProgramBench (Vals AI)Not measured0.0%Only GLM 5.3 Flash measured
IOI (Vals AI)Not measured52.5%Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)Not measured62.9%Only GLM 5.3 Flash measured
Vibe Code Bench 1-100 (Vals AI)Not measured16.0%Only GLM 5.3 Flash measured
SkillsBench (Vals AI)Not measured40.2%Only GLM 5.3 Flash measured
CyberBench (Vals AI)Not measured67.9%Only GLM 5.3 Flash measured
LiveCodeBench (Artificial Analysis run)87.1%Not measuredOnly Claude Opus 4.5 measured
SciCodeNot measured51.6%Only GLM 5.3 Flash measured
Terminal-Bench Hard (Artificial Analysis run)47.0%Not measuredOnly Claude Opus 4.5 measured
Terminal-Bench63.1%Not measuredOnly Claude Opus 4.5 measured
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
GSO-Bench26.5%Not measuredOnly Claude Opus 4.5 measured
WeirdML63.7%Not measuredOnly Claude Opus 4.5 measured
Cybench82.0%Not measuredOnly Claude Opus 4.5 measured
ALE-BenchNot measured303.6Only GLM 5.3 Flash measured
LMArena Text: coding15031507GLM 5.3 Flash
LMArena Text: software and IT14831500GLM 5.3 Flash
LMArena WebDev: React14781624GLM 5.3 Flash
LMArena WebDev: HTML15101577GLM 5.3 Flash
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 7 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
AA Intelligence Index29.141.8GLM 5.3 Flash
Epoch Capabilities Index150.1153.1GLM 5.3 Flash
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index25 boards, none shared
Agentic work benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
AA Agentic IndexNot measured50.9Only GLM 5.3 Flash measured
Design Arena: agents building web apps1159Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building full-stack apps1156Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building mobile apps1189Not measuredOnly Claude Opus 4.5 measured
Design Arena: agents building Android apps1176Not measuredOnly Claude Opus 4.5 measured
LiveBench researchNot measured70.1%Only GLM 5.3 Flash measured
LiveBench browserNot measured84.0%Only GLM 5.3 Flash measured
LiveBench long agenticNot measured28.4%Only GLM 5.3 Flash measured
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)Not measured57.9%Only GLM 5.3 Flash measured
Tax Agent Bench (Vals AI)Not measured31.6%Only GLM 5.3 Flash measured
Legal Research Bench (Vals AI)Not measured45.2%Only GLM 5.3 Flash measured
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)Not measured55.9%Only GLM 5.3 Flash measured
Terminal-Bench-Science (Vals AI)Not measured2.9%Only GLM 5.3 Flash measured
τ²-Bench Telecom89.5%Not measuredOnly Claude Opus 4.5 measured
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
METR time horizons75.0%Not measuredOnly Claude Opus 4.5 measured
Remote Labor Index3.8%Not measuredOnly Claude Opus 4.5 measured
GDPval45.5%Not measuredOnly Claude Opus 4.5 measured
BALROG43.5%Not measuredOnly Claude Opus 4.5 measured
DeepResearch Bench54.8%Not measuredOnly Claude Opus 4.5 measured
OSWorld66.3%Not measuredOnly Claude Opus 4.5 measured
Vending-Bench 2$4,967Not measuredOnly Claude Opus 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)77.5%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index111
Reasoning benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
GPQA Diamond85.9%86.4%GLM 5.3 Flash
LiveBench reasoningNot measured77.6%Only GLM 5.3 Flash measured
MMMU Pro (Vals AI)83.0%86.0%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)86.6%91.2%GLM 5.3 Flash
Humanity's Last Exam (Artificial Analysis run)30.1%39.9%GLM 5.3 Flash
GPQA Diamond (Epoch AI run)86.0%90.2%GLM 5.3 Flash
ARC-AGI80.0%91.0%GLM 5.3 Flash
ARC-AGI-237.6%65.8%GLM 5.3 Flash
SimpleBench62.0%Not measuredOnly Claude Opus 4.5 measured
Chess puzzles14.0%21.0%GLM 5.3 Flash
Mystery game puzzles22.0%8.0%Claude Opus 4.5
EBR-bench14.3%Not measuredOnly Claude Opus 4.5 measured
VPCT40.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: hard prompts14761490GLM 5.3 Flash
LMArena Text: expert14871511GLM 5.3 Flash
LMArena Text: hard prompts in English14821488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Kagi LLM Benchmark80.2%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 3 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index15
Math benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
AIME95.4%Not measuredOnly Claude Opus 4.5 measured
MGSM (Vals AI)95.2%Not measuredOnly Claude Opus 4.5 measured
AA Math Index91.3Not measuredOnly Claude Opus 4.5 measured
AIME 2025 (Artificial Analysis run)91.3%Not measuredOnly Claude Opus 4.5 measured
OTIS Mock AIME86.1%93.9%GLM 5.3 Flash
FrontierMath, tiers 1 to 334.4%55.8%GLM 5.3 Flash
FrontierMath, tier 44.9%17.1%GLM 5.3 Flash
ProofBench36.0%21.0%Claude Opus 4.5
LMArena Text: math14631503GLM 5.3 Flash
LMArena Text: mathematical work14681497GLM 5.3 Flash
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index25
Knowledge benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
MMLU Pro87.3%86.1%Claude Opus 4.5
LegalBench (Vals AI)84.6%83.9%Claude Opus 4.5
CaseLaw (Vals AI)62.6%Not measuredOnly Claude Opus 4.5 measured
CorpFin (Vals AI)65.1%Not measuredOnly Claude Opus 4.5 measured
TaxEval (Vals AI)74.9%75.6%GLM 5.3 Flash
MortgageTax (Vals AI)68.7%Not measuredOnly Claude Opus 4.5 measured
MedQA (Vals AI)95.9%Not measuredOnly Claude Opus 4.5 measured
MedCode (Vals AI)49.2%Not measuredOnly Claude Opus 4.5 measured
MMLU Pro (Artificial Analysis run)89.5%Not measuredOnly Claude Opus 4.5 measured
SimpleQA Verified45.7%Not measuredOnly Claude Opus 4.5 measured
GeoBench75.0%Not measuredOnly Claude Opus 4.5 measured
LMArena Text: science14541484GLM 5.3 Flash
LMArena Text: medicine and healthcare14441475GLM 5.3 Flash
LMArena Text: legal and government14591473GLM 5.3 Flash
LMArena Text: business and finance14481460GLM 5.3 Flash
FACTS Benchmark Suite43.9%Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 2 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index08
Web design benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
Design Arena: websites12471272GLM 5.3 Flash
Design Arena: UI components12351316GLM 5.3 Flash
Design Arena: game dev12281278GLM 5.3 Flash
Design Arena: data viz12431262GLM 5.3 Flash
Design Arena: 3D12131316GLM 5.3 Flash
Design Arena: all code categories12421282GLM 5.3 Flash
Design Arena: SVG11801285GLM 5.3 Flash
Design Arena: ASCII art11901267GLM 5.3 Flash
LiveBench designNot measured77.2%Only GLM 5.3 Flash measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index217
General benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysisNot measured76.4%Only GLM 5.3 Flash measured
SAGE (Vals AI)52.1%Not measuredOnly Claude Opus 4.5 measured
MedScribe (Vals AI)85.3%88.9%GLM 5.3 Flash
IFBench58.0%Not measuredOnly Claude Opus 4.5 measured
Long context reasoning (AA-LCR)77.3%80.0%GLM 5.3 Flash
DTBench89.9%Not measuredOnly Claude Opus 4.5 measured
LMCA44.5%Not measuredOnly Claude Opus 4.5 measured
CL-bench21.1%Not measuredOnly Claude Opus 4.5 measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
Furniture assembly28.3%Not measuredOnly Claude Opus 4.5 measured
LMArena Text14511471GLM 5.3 Flash
LMArena Text: instruction following14781478Claude Opus 4.5
LMArena Text: creative writing14451441Claude Opus 4.5
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English14611474GLM 5.3 Flash
LMArena Text: non-English14381462GLM 5.3 Flash
LMArena Text: Chinese14701531GLM 5.3 Flash
LMArena Text: German14491462GLM 5.3 Flash
LMArena Text: Japanese14171444GLM 5.3 Flash
LMArena Text: Korean14241436GLM 5.3 Flash
LMArena Text: French14711491GLM 5.3 Flash
LMArena Text: Spanish14571475GLM 5.3 Flash
LMArena Text: Russian14471465GLM 5.3 Flash
LMArena Text: Polish14391450GLM 5.3 Flash
LMArena Text: multi-turn14661469GLM 5.3 Flash
LMArena Text: longer queries14791481GLM 5.3 Flash
LMArena Text: writing and language14521455GLM 5.3 Flash
LMArena Text: entertainment and media14341440GLM 5.3 Flash
LMArena Vision: EnglishNot measured1295Only GLM 5.3 Flash measured
LMArena Vision: ChineseNot measured1363Only GLM 5.3 Flash measured
LMArena Vision: reading textNot measured1299Only GLM 5.3 Flash measured
LMArena Vision: humorNot measured1279Only GLM 5.3 Flash measured
LMArena Vision: creative writingNot measured1270Only GLM 5.3 Flash measured
LMArena Document1462Not measuredOnly Claude Opus 4.5 measured
Neither model has a result on the other 11 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 4.5 and GLM 5.3 Flash
BenchmarkClaude Opus 4.5GLM 5.3 FlashLeader
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

Claude Opus 4.5$0.018Fits in one request
GLM 5.3 Flash$0.0004Fits in one request

GLM 5.3 Flash costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.5$0.325Fits in one request
GLM 5.3 Flash$0.0090Fits in one request

GLM 5.3 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.5$1.25Exceeds the context window
GLM 5.3 Flash$0.035Fits 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 Claude Opus 4.5 and GLM 5.3 Flash
SpecificationAnthropic Claude Opus 4.5Z.ai GLM 5.3 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedNovember 24, 2025August 26, 2026
Context window200K1.05M
Input $/Mtok$5.00$0.15
Output $/Mtok$25.00$0.50
Coding index44.057.7
Independent measurements behind it36
Cost per solved task$1.37$0.02
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.5 better than GLM 5.3 Flash for coding?

Pick GLM 5.3 Flash for coding: it scores 57.7 on the Vibe Coding Index against 44.0 for Claude Opus 4.5. Pick Claude Opus 4.5 for work measured by LiveCodeBench (Vals AI) or Mystery game puzzles, where it leads.

Which is cheaper, Claude Opus 4.5 or GLM 5.3 Flash?

Claude Opus 4.5 costs $5.00 per million input tokens and $25.00 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Per solved SWE-bench Verified task, Claude Opus 4.5 costs $1.37 and GLM 5.3 Flash $0.02.

Which has the bigger context window, Claude Opus 4.5 or GLM 5.3 Flash?

GLM 5.3 Flash, with 1.05M tokens against 200K.

How many benchmarks is the Claude Opus 4.5 vs GLM 5.3 Flash comparison based on?

62 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.5's coding index rests on 3 independent benchmarks and GLM 5.3 Flash's on 6. Where only one model has a result, the page says so instead of naming a winner.

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