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Claude Haiku 4.5 vs GLM 4.5

Updated October 21, 2026. 47 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 4.5
Claude Haiku 4.5Anthropic
Coding
49.8
Overall
16.9
Output $/M
$5.00
10
GLM 4.5Z.ai
Coding
64.2
Overall
12.8
Output $/M
$2.20
36
vs boards won of 47 shared, 1 tied

Decision reading

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 1 benchmark against 3.

Pick Claude Haiku 4.5 when the context window is larger, 200K against 131K tokens, or when what matters is SWE-bench Verified or WeirdML, where it leads.

Model AClaude Haiku 4.5Anthropic49.8/1003 independent benchmarks$0.56 per solved taskModel BGLM 4.5Z.ai64.2/1001 independent benchmarkNo cost per solved task
Shared results
47
Claude Haiku 4.5 only
47
GLM 4.5 only
13
Like-for-like categories
7 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 4.5 64.2 from 1 benchmark.
Widest category
Coding, 7.4 points apart on average over 5 shared benchmarks.
Widest single gap
LiveCodeBench (Vals AI): Claude Haiku 4.5 41.2% against GLM 4.5 67.5%, 26.3 points apart on a 0 to 100 scale.
Output price
Claude Haiku 4.5 $5.00 against GLM 4.5 $2.20 per million output tokens, 2.3x apart.
Context window
Claude Haiku 4.5 takes 200K tokens, GLM 4.5 131K.

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 4.5Ties
Coding32
Intelligence10
Reasoning211 tie
Math13
Knowledge18
Web design07
General215
All shared boards10361 tie
CodingLike-for-likeFour of these boards feed the Vibe Coding Index32
Coding benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
SWE-bench Verified66.6%64.2%Claude Haiku 4.5
SWE-bench Multilingual64.7%Not measuredOnly Claude Haiku 4.5 measured
LiveBench coding48.1%Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev1330Not measuredOnly Claude Haiku 4.5 measured
AA Coding Index43.9Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Vals AI)41.2%67.5%GLM 4.5
SWE-bench Verified (Vals AI)66.6%Not measuredOnly Claude Haiku 4.5 measured
Vibe Code Bench (Vals AI)11.4%Not measuredOnly Claude Haiku 4.5 measured
Code migration (Vals AI)7.5%Not measuredOnly Claude Haiku 4.5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Haiku 4.5 measured
Terminal-Bench 2.1 (Vals AI)43.8%Not measuredOnly Claude Haiku 4.5 measured
LiveCodeBench (Artificial Analysis run)Not measured73.8%Only GLM 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.5 measured
Terminal-Bench35.5%Not measuredOnly Claude Haiku 4.5 measured
WeirdML45.4%40.6%Claude Haiku 4.5
ALE-BenchNot measured344.8Only GLM 4.5 measured
LMArena Text: coding14541434Claude Haiku 4.5
LMArena Text: software and IT14391440GLM 4.5
LMArena WebDev: React1326Not measuredOnly Claude Haiku 4.5 measured
LMArena WebDev: HTML1318Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
AA Intelligence Index16.912.8Claude Haiku 4.5
Epoch Capabilities Index142.2Not measuredOnly Claude Haiku 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
AA Agentic Index8.0Not measuredOnly Claude Haiku 4.5 measured
LiveBench research42.2%Not measuredOnly Claude Haiku 4.5 measured
LiveBench browser40.0%Not measuredOnly Claude Haiku 4.5 measured
LiveBench long agentic11.1%Not measuredOnly Claude Haiku 4.5 measured
Finance Agent (Vals AI)31.0%Not measuredOnly Claude Haiku 4.5 measured
Tax Agent Bench (Vals AI)5.9%Not measuredOnly Claude Haiku 4.5 measured
Legal Research Bench (Vals AI)10.6%Not measuredOnly Claude Haiku 4.5 measured
Excel Modeling Benchmark (Vals AI)22.7%Not measuredOnly Claude Haiku 4.5 measured
τ²-Bench TelecomNot measured43.0%Only GLM 4.5 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 27 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index21
Reasoning benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
GPQA Diamond72.2%72.2%Tie
LiveBench reasoning61.7%Not measuredOnly Claude Haiku 4.5 measured
MMMU Pro (Vals AI)46.1%Not measuredOnly Claude Haiku 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured78.2%Only GLM 4.5 measured
Humanity's Last Exam (Artificial Analysis run)Not measured13.0%Only GLM 4.5 measured
GPQA Diamond (Epoch AI run)71.2%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI47.7%Not measuredOnly Claude Haiku 4.5 measured
ARC-AGI-24.0%Not measuredOnly Claude Haiku 4.5 measured
Chess puzzles8.0%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: hard prompts14211429GLM 4.5
LMArena Text: expert14431433Claude Haiku 4.5
LMArena Text: hard prompts in English14351429Claude Haiku 4.5
Neither model has a result on the other 9 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index13
Math benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
AIME82.7%86.7%GLM 4.5
MATH 500 (Vals AI)Not measured94.0%Only GLM 4.5 measured
MGSM (Vals AI)92.2%90.8%Claude Haiku 4.5
AA Math IndexNot measured73.7Only GLM 4.5 measured
AIME 2025 (Artificial Analysis run)Not measured73.7%Only GLM 4.5 measured
OTIS Mock AIME66.7%Not measuredOnly Claude Haiku 4.5 measured
MATH level 596.4%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: math13981427GLM 4.5
LMArena Text: mathematical work14301430GLM 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index18
Knowledge benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
MMLU Pro78.7%81.2%GLM 4.5
LegalBench (Vals AI)81.2%75.6%Claude Haiku 4.5
CaseLaw (Vals AI)56.5%Not measuredOnly Claude Haiku 4.5 measured
CorpFin (Vals AI)60.6%61.0%GLM 4.5
TaxEval (Vals AI)67.5%72.4%GLM 4.5
MortgageTax (Vals AI)62.2%Not measuredOnly Claude Haiku 4.5 measured
MedQA (Vals AI)79.6%90.0%GLM 4.5
MedCode (Vals AI)32.7%Not measuredOnly Claude Haiku 4.5 measured
MMLU Pro (Artificial Analysis run)Not measured83.5%Only GLM 4.5 measured
SimpleQA Verified13.2%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text: science14061444GLM 4.5
LMArena Text: medicine and healthcare13941455GLM 4.5
LMArena Text: legal and government14001438GLM 4.5
LMArena Text: business and finance14001420GLM 4.5
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index07
Web design benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
Design Arena: websites11221170GLM 4.5
Design Arena: UI components11001144GLM 4.5
Design Arena: game dev10971145GLM 4.5
Design Arena: data viz11241159GLM 4.5
Design Arena: 3D10721170GLM 4.5
Design Arena: all code categories11151165GLM 4.5
Design Arena: SVG10251096GLM 4.5
Design Arena: ASCII art1139Not measuredOnly Claude Haiku 4.5 measured
LiveBench design59.9%Not measuredOnly Claude Haiku 4.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index215
General benchmarks for Claude Haiku 4.5 and GLM 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
LiveBench data analysis59.3%Not measuredOnly Claude Haiku 4.5 measured
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%Not measuredOnly Claude Haiku 4.5 measured
Vals Multimodal Index42.9%Not measuredOnly Claude Haiku 4.5 measured
IFBenchNot measured44.1%Only GLM 4.5 measured
Long context reasoning (AA-LCR)Not measured52.7%Only GLM 4.5 measured
DTBench73.6%Not measuredOnly Claude Haiku 4.5 measured
LMCA30.9%Not measuredOnly Claude Haiku 4.5 measured
Creative writing (Lech Mazur)Not measured73.4%Only GLM 4.5 measured
ExploitBench13.7%Not measuredOnly Claude Haiku 4.5 measured
LMArena Text13971430GLM 4.5
LMArena Text: instruction following14141404Claude Haiku 4.5
LMArena Text: creative writing13711395GLM 4.5
LMArena Text: English14141437GLM 4.5
LMArena Text: non-English13771417GLM 4.5
LMArena Text: Chinese14181465GLM 4.5
LMArena Text: German13741407GLM 4.5
LMArena Text: Japanese13381415GLM 4.5
LMArena Text: Korean13461380GLM 4.5
LMArena Text: French14111418GLM 4.5
LMArena Text: Spanish14211454GLM 4.5
LMArena Text: Russian13811413GLM 4.5
LMArena Text: Polish13431422GLM 4.5
LMArena Text: multi-turn14091415GLM 4.5
LMArena Text: longer queries14271412Claude Haiku 4.5
LMArena Text: writing and language13861403GLM 4.5
LMArena Text: entertainment and media13691404GLM 4.5
LMArena Document1420Not measuredOnly Claude Haiku 4.5 measured
Neither model has a result on the other 17 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 4.5
BenchmarkClaude Haiku 4.5GLM 4.5Leader
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 4.5$0.0017Fits in one request

GLM 4.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 4.5$0.065Fits in one request
GLM 4.5$0.037Fits in one request

GLM 4.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 4.5$0.250Exceeds the context window
GLM 4.5$0.142Exceeds the context window

GLM 4.5 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 4.5
SpecificationAnthropic Claude Haiku 4.5Z.ai GLM 4.5
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 15, 2025July 25, 2025
Context window200K131K
Input $/Mtok$1.00$0.60
Output $/Mtok$5.00$2.20
Coding index49.864.2
Independent measurements behind it31
Cost per solved task$0.56Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 4.5 better than GLM 4.5 for coding?

Pick GLM 4.5 for coding: it scores 64.2 on the Vibe Coding Index against 49.8 for Claude Haiku 4.5, though on 1 benchmark against 3. Pick Claude Haiku 4.5 when the context window is larger, 200K against 131K tokens, or when what matters is SWE-bench Verified or WeirdML, where it leads.

Which is cheaper, Claude Haiku 4.5 or GLM 4.5?

Claude Haiku 4.5 costs $1.00 per million input tokens and $5.00 per million output tokens; GLM 4.5 costs $0.60 and $2.20. Cost per solved task is known for Claude Haiku 4.5 only.

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

Claude Haiku 4.5, with 200K tokens against 131K.

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

47 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 4.5's on 1. Where only one model has a result, the page says so instead of naming a winner.

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