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Claude Haiku 5.5 vs GLM 5.2

Claude Haiku 5.5 leads GLM 5.2 on coding, 70.7 to 61.1 on the Vibe Coding Index, and Claude Haiku 5.5 costs 8.8x less per output token ($0.50 vs $4.40 per million). Updated October 22, 2026; 39 benchmarks have a result for both.

Replace Claude Haiku 5.5 Replace GLM 5.2
Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
30
GLM 5.2Z.ai
Coding
61.1
Overall
62.5
Output $/M
$4.40
9
vs boards won of 39 shared

Claude Haiku 5.5 or GLM 5.2: which to pick

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 61.1 for GLM 5.2.

Pick GLM 5.2 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Model AClaude Haiku 5.5Anthropic70.7/1005 independent benchmarksNo cost per solved taskModel BGLM 5.2Z.ai61.1/1004 independent benchmarks$0.86 per solved task
Shared results
39
Claude Haiku 5.5 only
24
GLM 5.2 only
59
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
Claude Haiku 5.5 70.7 from 5 benchmarks, GLM 5.2 61.1 from 4 benchmarks.
Widest category
Math, 24.9 points apart on average over 4 shared benchmarks.
Widest single gap
ProofBench: Claude Haiku 5.5 89.0% against GLM 5.2 35.0%, 54.0 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against GLM 5.2 $4.40 per million output tokens, 8.8x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, GLM 5.2 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 5.5BarsGLM 5.2Ties
Coding62
Intelligence20
Agentic work42
Reasoning61
Math40
Knowledge11
Web design33
General40
All shared boards309
CodingLike-for-likeSix of these boards feed the Vibe Coding Index62
Coding benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev15861604GLM 5.2
AA Coding IndexNot measured68.8Only GLM 5.2 measured
LiveCodeBench (Vals AI)Not measured69.5%Only GLM 5.2 measured
SWE-bench Verified (Vals AI)Not measured82.8%Only GLM 5.2 measured
Terminal-Bench 4 (Vals AI)36.4%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench (Vals AI)90.4%64.0%Claude Haiku 5.5
Code migration (Vals AI)44.6%37.9%Claude Haiku 5.5
ProgramBench (Vals AI)2.5%0.5%Claude Haiku 5.5
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench 2.1 (Vals AI)Not measured67.8%Only GLM 5.2 measured
SWE-bench Multimodal (Vals AI)44.0%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench 1-100 (Vals AI)20.4%Not measuredOnly Claude Haiku 5.5 measured
SkillsBench (Vals AI)Not measured45.1%Only GLM 5.2 measured
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
SciCode55.0%51.2%Claude Haiku 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured50.8%Only GLM 5.2 measured
FrontierCode46.4%24.5%Claude Haiku 5.5
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
WeirdMLNot measured70.1%Only GLM 5.2 measured
ALE-BenchNot measured1047.0Only GLM 5.2 measured
LMArena Text: codingNot measured1487Only GLM 5.2 measured
LMArena Text: software and ITNot measured1486Only GLM 5.2 measured
LMArena WebDev: React16051617GLM 5.2
LMArena WebDev: HTML15691565Claude Haiku 5.5
SciCode9.2%Not measuredOnly Claude Haiku 5.5 measured
Neither model has a result on the other 13 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
AA Intelligence Index43.433.7Claude Haiku 5.5
Epoch Capabilities Index159.3151.9Claude Haiku 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index42
Agentic work benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
AA Agentic IndexNot measured38.4Only GLM 5.2 measured
Design Arena: agents building web appsNot measured1222Only GLM 5.2 measured
Design Arena: agents building full-stack appsNot measured1241Only GLM 5.2 measured
Design Arena: agents building mobile appsNot measured1159Only GLM 5.2 measured
Design Arena: agents building Android appsNot measured1178Only GLM 5.2 measured
Design Arena: agents building Godot gamesNot measured1142Only GLM 5.2 measured
Design Arena: agents building gamesNot measured1206Only GLM 5.2 measured
Design Arena: HTML slidesNot measured1125Only GLM 5.2 measured
Design Arena: PowerPoint slidesNot measured1170Only GLM 5.2 measured
LiveBench research81.9%Not measuredOnly Claude Haiku 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Haiku 5.5 measured
LiveBench long agentic57.6%Not measuredOnly Claude Haiku 5.5 measured
SREBench (Vals AI)5.7%0.0%Claude Haiku 5.5
Finance Agent (Vals AI)54.1%49.7%Claude Haiku 5.5
Tax Agent Bench (Vals AI)31.9%Not measuredOnly Claude Haiku 5.5 measured
Legal Research Bench (Vals AI)43.3%31.3%Claude Haiku 5.5
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)59.0%61.5%GLM 5.2
BioMysteryBench (Vals AI)70.4%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench-Science (Vals AI)10.0%Not measuredOnly Claude Haiku 5.5 measured
Vals Science Index38.5%Not measuredOnly Claude Haiku 5.5 measured
τ²-Bench TelecomNot measured99.1%Only GLM 5.2 measured
APEX-Agents56.1%45.2%Claude Haiku 5.5
PostTrainBenchNot measured31.7%Only GLM 5.2 measured
Vending-Bench 2$3,602$8,314GLM 5.2
Neither model has a result on the other 16 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index61
Reasoning benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
GPQA DiamondNot measured85.6%Only GLM 5.2 measured
LiveBench reasoning82.4%Not measuredOnly Claude Haiku 5.5 measured
MysteryMechanism (Vals AI)35.1%Not measuredOnly Claude Haiku 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured89.5%Only GLM 5.2 measured
Humanity's Last Exam (Artificial Analysis run)44.4%41.1%Claude Haiku 5.5
GPQA Diamond (Epoch AI run)89.6%91.9%GLM 5.2
ARC-AGI89.0%77.0%Claude Haiku 5.5
ARC-AGI-261.3%22.8%Claude Haiku 5.5
SimpleBenchNot measured58.8%Only GLM 5.2 measured
Chess puzzles55.0%22.0%Claude Haiku 5.5
Mystery game puzzles30.0%19.0%Claude Haiku 5.5
EBR-bench43.8%9.5%Claude Haiku 5.5
LMArena Text: hard promptsNot measured1481Only GLM 5.2 measured
LMArena Text: expertNot measured1487Only GLM 5.2 measured
LMArena Text: hard prompts in EnglishNot measured1481Only GLM 5.2 measured
Kagi LLM BenchmarkNot measured62.6%Only GLM 5.2 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index40
Math benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
OTIS Mock AIME98.9%86.4%Claude Haiku 5.5
FrontierMath, tiers 1 to 375.1%59.2%Claude Haiku 5.5
FrontierMath, tier 446.3%29.3%Claude Haiku 5.5
ProofBench89.0%35.0%Claude Haiku 5.5
LMArena Text: mathNot measured1483Only GLM 5.2 measured
LMArena Text: mathematical workNot measured1489Only GLM 5.2 measured
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index11
Knowledge benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
MMLU ProNot measured86.7%Only GLM 5.2 measured
LegalBench (Vals AI)Not measured84.1%Only GLM 5.2 measured
CorpFin (Vals AI)Not measured66.1%Only GLM 5.2 measured
TaxEval (Vals AI)Not measured73.3%Only GLM 5.2 measured
MedCode (Vals AI)51.5%40.8%Claude Haiku 5.5
SimpleQA Verified23.8%34.2%GLM 5.2
LMArena Text: scienceNot measured1489Only GLM 5.2 measured
LMArena Text: medicine and healthcareNot measured1475Only GLM 5.2 measured
LMArena Text: legal and governmentNot measured1486Only GLM 5.2 measured
LMArena Text: business and financeNot measured1451Only GLM 5.2 measured
Neither model has a result on the other 8 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index33
Web design benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
Design Arena: websites12621285GLM 5.2
Design Arena: UI components12911294GLM 5.2
Design Arena: game dev13131268Claude Haiku 5.5
Design Arena: data viz12941285Claude Haiku 5.5
Design Arena: 3D13421287Claude Haiku 5.5
Design Arena: all code categories12781287GLM 5.2
Design Arena: SVGNot measured1213Only GLM 5.2 measured
Design Arena: ASCII artNot measured1191Only GLM 5.2 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index40
General benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
Vals Index58.7%Not measuredOnly Claude Haiku 5.5 measured
LiveBench data analysis53.1%Not measuredOnly Claude Haiku 5.5 measured
Public Benefits Bench (Vals AI)63.2%Not measuredOnly Claude Haiku 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Haiku 5.5 measured
MedScribe (Vals AI)89.5%83.5%Claude Haiku 5.5
IFBenchNot measured73.3%Only GLM 5.2 measured
Long context reasoning (AA-LCR)82.7%78.3%Claude Haiku 5.5
DTBench95.0%93.6%Claude Haiku 5.5
LMCA51.1%45.8%Claude Haiku 5.5
Surface Evolver BenchNot measured55.6%Only GLM 5.2 measured
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
LMArena TextNot measured1470Only GLM 5.2 measured
LMArena Text: instruction followingNot measured1466Only GLM 5.2 measured
LMArena Text: creative writingNot measured1463Only GLM 5.2 measured
LMArena Text: EnglishNot measured1475Only GLM 5.2 measured
LMArena Text: non-EnglishNot measured1459Only GLM 5.2 measured
LMArena Text: ChineseNot measured1522Only GLM 5.2 measured
LMArena Text: GermanNot measured1470Only GLM 5.2 measured
LMArena Text: JapaneseNot measured1450Only GLM 5.2 measured
LMArena Text: KoreanNot measured1440Only GLM 5.2 measured
LMArena Text: FrenchNot measured1479Only GLM 5.2 measured
LMArena Text: SpanishNot measured1478Only GLM 5.2 measured
LMArena Text: RussianNot measured1468Only GLM 5.2 measured
LMArena Text: PolishNot measured1456Only GLM 5.2 measured
LMArena Text: multi-turnNot measured1469Only GLM 5.2 measured
LMArena Text: longer queriesNot measured1480Only GLM 5.2 measured
LMArena Text: writing and languageNot measured1463Only GLM 5.2 measured
LMArena Text: entertainment and mediaNot measured1450Only GLM 5.2 measured
Neither model has a result on the other 18 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Haiku 5.5 and GLM 5.2
BenchmarkClaude Haiku 5.5GLM 5.2Leader
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 5.5$0.0003Fits in one request
GLM 5.2$0.0036Fits in one request

Claude Haiku 5.5 costs less

Repository review

50K input + 3K output tokens

Claude Haiku 5.5$0.0065Fits in one request
GLM 5.2$0.083Fits in one request

Claude Haiku 5.5 costs less

Agent loop

200K input + 10K output tokens

Claude Haiku 5.5$0.025Fits in one request
GLM 5.2$0.324Fits in one request

Claude Haiku 5.5 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 5.5 and GLM 5.2
SpecificationAnthropic Claude Haiku 5.5Z.ai GLM 5.2
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026June 16, 2026
Context window1M1.05M
Input $/Mtok$0.10$1.40
Output $/Mtok$0.50$4.40
Coding index70.761.1
Independent measurements behind it54
Cost per solved taskNot computable$0.86
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than GLM 5.2 for coding?

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 61.1 for GLM 5.2. Pick GLM 5.2 for a larger context window (1.05M against 1M tokens) and work measured by LMArena WebDev or LMArena WebDev: React, where it leads.

Which is cheaper, Claude Haiku 5.5 or GLM 5.2?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; GLM 5.2 costs $1.40 and $4.40. Cost per solved task is known for GLM 5.2 only.

Which has the bigger context window, Claude Haiku 5.5 or GLM 5.2?

GLM 5.2, with 1.05M tokens against 1M.

How many benchmarks is the Claude Haiku 5.5 vs GLM 5.2 comparison based on?

39 benchmarks have a result for both models as of October 22, 2026. Claude Haiku 5.5's coding index rests on 5 independent benchmarks and GLM 5.2's on 4. Where only one model has a result, the page says so instead of naming a winner.

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