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Claude Haiku 4.5 vs GLM 5.3 Flash

Updated October 21, 2026. 71 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Haiku 4.5 Replace GLM 5.3 Flash
Claude Haiku 4.5Anthropic
Coding
49.8
Overall
16.9
Output $/M
$5.00
0
GLM 5.3 FlashZ.ai
Coding
71.0
Overall
41.8
Output $/M
$0.50
70
vs boards won of 71 shared, 1 tied

Decision reading

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3.

Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

Model AClaude Haiku 4.5Anthropic49.8/1003 independent benchmarks$0.56 per solved taskModel BGLM 5.3 FlashZ.ai71.0/1002 independent benchmarks$0.02 per solved task
Shared results
71
Claude Haiku 4.5 only
23
GLM 5.3 Flash only
31
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 Haiku 4.5 49.8 from 3 benchmarks, GLM 5.3 Flash 71.0 from 2 benchmarks.
Widest category
Agentic work, 31.6 points apart on average over 8 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Haiku 4.5 4.0% against GLM 5.3 Flash 65.8%, 61.8 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against GLM 5.3 Flash $0.50 per million output tokens, 10.0x apart.
Context window
Claude Haiku 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 Haiku 4.5BarsGLM 5.3 FlashTies
Coding0121 tie
Intelligence02
Agentic work08
Reasoning010
Math03
Knowledge07
Web design09
General019
All shared boards0701 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index012
Coding benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
SWE-bench Verified66.6%Not measuredOnly Claude Haiku 4.5 measured
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%80.6%GLM 5.3 Flash
LMArena WebDev13301607GLM 5.3 Flash
AA Coding Index43.971.5GLM 5.3 Flash
LiveCodeBench (Vals AI)41.2%80.5%GLM 5.3 Flash
SWE-bench Verified (Vals AI)66.6%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)11.4%30.8%GLM 5.3 Flash
Code migration (Vals AI)7.5%20.5%GLM 5.3 Flash
ProgramBench (Vals AI)0.0%0.0%Tie
IOI (Vals AI)Not measured52.5%Only GLM 5.3 Flash measured
Terminal-Bench 2.1 (Vals AI)43.8%62.9%GLM 5.3 Flash
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
SciCodeNot measured51.6%Only GLM 5.3 Flash measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
FrontierCodeNot measured31.8%Only GLM 5.3 Flash measured
FrontierSWENot measured18.1%Only GLM 5.3 Flash measured
WeirdML45.4%Not measuredOnly Claude Haiku 4.5 measured
ALE-BenchNot measured303.6Only GLM 5.3 Flash measured
LMArena Text: coding14541507GLM 5.3 Flash
LMArena Text: software and IT14391500GLM 5.3 Flash
LMArena WebDev: React13261624GLM 5.3 Flash
LMArena WebDev: HTML13181577GLM 5.3 Flash
LMArena WebDev: from an imageNot measured1578Only GLM 5.3 Flash measured
Neither model has a result on the other 11 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index02
Intelligence benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
AA Intelligence Index16.941.8GLM 5.3 Flash
Epoch Capabilities Index142.2153.1GLM 5.3 Flash
Agentic workLike-for-likePublic boards, shown as published, kept out of the index08
Agentic work benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
AA Agentic Index8.050.9GLM 5.3 Flash
LiveBench research42.2%70.1%GLM 5.3 Flash
LiveBench browser40.0%84.0%GLM 5.3 Flash
LiveBench long agentic11.1%28.4%GLM 5.3 Flash
SREBench (Vals AI)Not measured0.8%Only GLM 5.3 Flash measured
Finance Agent (Vals AI)31.0%57.9%GLM 5.3 Flash
Tax Agent Bench (Vals AI)5.9%31.6%GLM 5.3 Flash
Legal Research Bench (Vals AI)10.6%45.2%GLM 5.3 Flash
Harvey's Legal Agent Benchmark (Vals AI)Not measured10.4%Only GLM 5.3 Flash measured
Excel Modeling Benchmark (Vals AI)22.7%55.9%GLM 5.3 Flash
Terminal-Bench-Science (Vals AI)Not measured2.9%Only GLM 5.3 Flash measured
APEX-AgentsNot measured52.8%Only GLM 5.3 Flash measured
BALROG31.2%Not measuredOnly Claude Haiku 4.5 measured
DeepResearch Bench45.5%Not measuredOnly Claude Haiku 4.5 measured
Vending-Bench 2$459Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 24 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index010
Reasoning benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
GPQA Diamond72.2%86.4%GLM 5.3 Flash
LiveBench reasoning61.7%77.6%GLM 5.3 Flash
MMMU Pro (Vals AI)46.1%86.0%GLM 5.3 Flash
GPQA Diamond (Artificial Analysis run)Not measured91.2%Only GLM 5.3 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured39.9%Only GLM 5.3 Flash measured
GPQA Diamond (Epoch AI run)71.2%90.2%GLM 5.3 Flash
ARC-AGI47.7%91.0%GLM 5.3 Flash
ARC-AGI-24.0%65.8%GLM 5.3 Flash
Chess puzzles8.0%21.0%GLM 5.3 Flash
Mystery game puzzlesNot measured8.0%Only GLM 5.3 Flash measured
LMArena Text: hard prompts14211490GLM 5.3 Flash
LMArena Text: expert14431511GLM 5.3 Flash
LMArena Text: hard prompts in English14351488GLM 5.3 Flash
LMArena Vision: diagramsNot measured1317Only GLM 5.3 Flash measured
LMArena Vision: homeworkNot measured1318Only GLM 5.3 Flash measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index03
Math benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
AIME82.7%Not measuredOnly Claude Haiku 4.5 measured
MGSM (Vals AI)92.2%Not measuredOnly Claude Haiku 4.5 measured
OTIS Mock AIME66.7%93.9%GLM 5.3 Flash
FrontierMath, tiers 1 to 3Not measured55.8%Only GLM 5.3 Flash measured
FrontierMath, tier 4Not measured17.1%Only GLM 5.3 Flash measured
ProofBenchNot measured21.0%Only GLM 5.3 Flash measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981503GLM 5.3 Flash
LMArena Text: mathematical work14301497GLM 5.3 Flash
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index07
Knowledge benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
MMLU Pro78.7%86.1%GLM 5.3 Flash
LegalBench (Vals AI)81.2%83.9%GLM 5.3 Flash
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%Not measuredOnly Claude Haiku 4.5 measured
TaxEval (Vals AI)67.5%75.6%GLM 5.3 Flash
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%Not measuredOnly Claude Haiku 4.5 measured
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science14061484GLM 5.3 Flash
LMArena Text: medicine and healthcare13941475GLM 5.3 Flash
LMArena Text: legal and government14001473GLM 5.3 Flash
LMArena Text: business and finance14001460GLM 5.3 Flash
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index09
Web design benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
Design Arena: websites11221272GLM 5.3 Flash
Design Arena: UI components11001316GLM 5.3 Flash
Design Arena: game dev10971279GLM 5.3 Flash
Design Arena: data viz11241262GLM 5.3 Flash
Design Arena: 3D10721316GLM 5.3 Flash
Design Arena: all code categories11151282GLM 5.3 Flash
Design Arena: SVG10251284GLM 5.3 Flash
Design Arena: ASCII art11391269GLM 5.3 Flash
LiveBench design59.9%77.2%GLM 5.3 Flash
GeneralLike-for-likePublic boards, shown as published, kept out of the index019
General benchmarks for Claude Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 4.5GLM 5.3 FlashLeader
Vals IndexNot measured50.9%Only GLM 5.3 Flash measured
LiveBench data analysis59.3%76.4%GLM 5.3 Flash
Public Benefits Bench (Vals AI)54.3%Not measuredOnly Claude Haiku 4.5 measured
SAGE (Vals AI)31.8%Not measuredOnly Claude Haiku 4.5 measured
MedScribe (Vals AI)85.2%88.9%GLM 5.3 Flash
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
Long context reasoning (AA-LCR)Not measured80.0%Only GLM 5.3 Flash measured
DTBench73.6%Not measuredOnly Claude Haiku 4.5 measured
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
Surface Evolver BenchNot measured52.5%Only GLM 5.3 Flash measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971471GLM 5.3 Flash
LMArena Text: instruction following14141478GLM 5.3 Flash
LMArena Text: creative writing13711441GLM 5.3 Flash
LMArena VisionNot measured1294Only GLM 5.3 Flash measured
LMArena Text: English14141474GLM 5.3 Flash
LMArena Text: non-English13771462GLM 5.3 Flash
LMArena Text: Chinese14181531GLM 5.3 Flash
LMArena Text: German13741462GLM 5.3 Flash
LMArena Text: Japanese13381444GLM 5.3 Flash
LMArena Text: Korean13461436GLM 5.3 Flash
LMArena Text: French14111491GLM 5.3 Flash
LMArena Text: Spanish14211475GLM 5.3 Flash
LMArena Text: Russian13811465GLM 5.3 Flash
LMArena Text: Polish13431450GLM 5.3 Flash
LMArena Text: multi-turn14091469GLM 5.3 Flash
LMArena Text: longer queries14271481GLM 5.3 Flash
LMArena Text: writing and language13861455GLM 5.3 Flash
LMArena Text: entertainment and media13691440GLM 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 Document1420Not measuredOnly Claude Haiku 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 Haiku 4.5 and GLM 5.3 Flash
BenchmarkClaude Haiku 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 Haiku 4.5$0.0035Fits 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 Haiku 4.5$0.065Fits 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 Haiku 4.5$0.250Exceeds 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 Haiku 4.5 and GLM 5.3 Flash
SpecificationAnthropic Claude Haiku 4.5Z.ai GLM 5.3 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025August 26, 2026
Context window200K1.05M
Input $/Mtok$1.00$0.15
Output $/Mtok$5.00$0.50
Coding index49.871.0
Independent measurements behind it32
Cost per solved task$0.56$0.02
SourceOpenRouter listingOpenRouter listing

Questions

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

Pick GLM 5.3 Flash for coding: it scores 71.0 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 2 benchmarks against 3. Claude Haiku 4.5 is neither cheaper nor larger in context, and leads no benchmark both models were measured on.

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

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GLM 5.3 Flash costs $0.15 and $0.50. Per solved SWE-bench Verified task, Claude Haiku 4.5 costs $0.56 and GLM 5.3 Flash $0.02.

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

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

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

71 benchmarks have a result for both models as of October 21, 2026. Claude Haiku 4.5's coding index rests on 3 independent benchmarks and GLM 5.3 Flash's on 2. Where only one model has a result, the page says so instead of naming a winner.

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