Enter opens the highlighted result. Esc closes.

Claude Haiku 5.5 vs GLM 5

Claude Haiku 5.5 leads GLM 5 on coding, 70.7 to 41.7 on the Vibe Coding Index, and Claude Haiku 5.5 costs 6.4x less per output token ($0.50 vs $3.20 per million). Updated October 22, 2026; 19 benchmarks have a result for both.

Replace Claude Haiku 5.5 Replace GLM 5
Claude Haiku 5.5Anthropic
Coding
70.7
Overall
67.6
Output $/M
$0.50
18
GLM 5Z.ai
Coding
41.7
Overall
54.3
Output $/M
$3.20
1
vs boards won of 19 shared

Claude Haiku 5.5 or GLM 5: which to pick

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 41.7 for GLM 5.

Pick GLM 5 for work measured by Vending-Bench 2, where it leads.

Model AClaude Haiku 5.5Anthropic70.7/1005 independent benchmarksNo cost per solved taskModel BGLM 5Z.ai41.7/1003 independent benchmarks$0.63 per solved task
Shared results
19
Claude Haiku 5.5 only
44
GLM 5 only
57
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 Haiku 5.5 70.7 from 5 benchmarks, GLM 5 41.7 from 3 benchmarks.
Widest category
Coding, 34.4 points apart on average over 4 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Haiku 5.5 90.4% against GLM 5 23.4%, 67.1 points apart on a 0 to 100 scale.
Output price
Claude Haiku 5.5 $0.50 against GLM 5 $3.20 per million output tokens, 6.4x apart.
Context window
Claude Haiku 5.5 takes 1M tokens, GLM 5 205K.

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 5Ties
Coding40
Intelligence20
Agentic work01
Reasoning40
Math10
Web design60
General10
All shared boards181
CodingLike-for-likeSix of these boards feed the Vibe Coding Index40
Coding benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
SWE-bench VerifiedNot measured72.8%Only GLM 5 measured
SWE-bench MultilingualNot measured69.7%Only GLM 5 measured
LiveBench coding91.4%Not measuredOnly Claude Haiku 5.5 measured
LMArena WebDev15861435Claude Haiku 5.5
LiveCodeBench (Vals AI)Not measured81.9%Only GLM 5 measured
SWE-bench Verified (Vals AI)Not measured71.4%Only GLM 5 measured
Terminal-Bench 4 (Vals AI)36.4%Not measuredOnly Claude Haiku 5.5 measured
Vibe Code Bench (Vals AI)90.4%23.4%Claude Haiku 5.5
Code migration (Vals AI)44.6%Not measuredOnly Claude Haiku 5.5 measured
ProgramBench (Vals AI)2.5%Not measuredOnly Claude Haiku 5.5 measured
IOI (Vals AI)47.3%Not measuredOnly Claude Haiku 5.5 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
CyberBench (Vals AI)75.5%Not measuredOnly Claude Haiku 5.5 measured
SciCode55.0%Not measuredOnly Claude Haiku 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only GLM 5 measured
Terminal-BenchNot measured52.4%Only GLM 5 measured
FrontierCode46.4%Not measuredOnly Claude Haiku 5.5 measured
FrontierSWE43.8%Not measuredOnly Claude Haiku 5.5 measured
WeirdMLNot measured48.2%Only GLM 5 measured
ALE-BenchNot measured765.6Only GLM 5 measured
LMArena Text: codingNot measured1461Only GLM 5 measured
LMArena Text: software and ITNot measured1460Only GLM 5 measured
LMArena WebDev: React16051424Claude Haiku 5.5
LMArena WebDev: HTML15691450Claude 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
BenchmarkClaude Haiku 5.5GLM 5Leader
AA Intelligence Index43.427.9Claude Haiku 5.5
Epoch Capabilities Index159.3145.8Claude Haiku 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index01
Agentic work benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
Design Arena: agents building full-stack appsNot measured1123Only GLM 5 measured
Design Arena: agents building mobile appsNot measured1136Only GLM 5 measured
Design Arena: agents building Android appsNot measured1147Only GLM 5 measured
Design Arena: agents building Godot gamesNot measured1144Only GLM 5 measured
Design Arena: HTML slidesNot measured1098Only GLM 5 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%Not measuredOnly Claude Haiku 5.5 measured
Finance Agent (Vals AI)54.1%Not measuredOnly Claude Haiku 5.5 measured
Tax Agent Bench (Vals AI)31.9%Not measuredOnly Claude Haiku 5.5 measured
Legal Research Bench (Vals AI)43.3%Not measuredOnly Claude Haiku 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)4.2%Not measuredOnly Claude Haiku 5.5 measured
Excel Modeling Benchmark (Vals AI)59.0%Not measuredOnly Claude Haiku 5.5 measured
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 measured98.2%Only GLM 5 measured
APEX-Agents56.1%Not measuredOnly Claude Haiku 5.5 measured
Vending-Bench 2$3,602$4,432GLM 5
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
GPQA DiamondNot measured83.3%Only GLM 5 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 measured82.0%Only GLM 5 measured
Humanity's Last Exam (Artificial Analysis run)44.4%29.3%Claude Haiku 5.5
GPQA Diamond (Epoch AI run)89.6%87.8%Claude Haiku 5.5
ARC-AGI89.0%44.7%Claude Haiku 5.5
ARC-AGI-261.3%4.9%Claude Haiku 5.5
SimpleBenchNot measured53.2%Only GLM 5 measured
Chess puzzles55.0%Not measuredOnly Claude Haiku 5.5 measured
Mystery game puzzles30.0%Not measuredOnly Claude Haiku 5.5 measured
EBR-bench43.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: hard promptsNot measured1452Only GLM 5 measured
LMArena Text: expertNot measured1454Only GLM 5 measured
LMArena Text: hard prompts in EnglishNot measured1460Only GLM 5 measured
Kagi LLM BenchmarkNot measured75.0%Only GLM 5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index10
Math benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
AIMENot measured91.7%Only GLM 5 measured
OTIS Mock AIME98.9%80.0%Claude Haiku 5.5
FrontierMath, tiers 1 to 375.1%Not measuredOnly Claude Haiku 5.5 measured
FrontierMath, tier 446.3%Not measuredOnly Claude Haiku 5.5 measured
ProofBench89.0%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: mathNot measured1440Only GLM 5 measured
LMArena Text: mathematical workNot measured1451Only GLM 5 measured
Neither model has a result on the other 6 boards here
KnowledgeDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Knowledge benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
MMLU ProNot measured86.0%Only GLM 5 measured
LegalBench (Vals AI)Not measured84.1%Only GLM 5 measured
CaseLaw (Vals AI)Not measured52.5%Only GLM 5 measured
CorpFin (Vals AI)Not measured62.9%Only GLM 5 measured
TaxEval (Vals AI)Not measured70.0%Only GLM 5 measured
MedQA (Vals AI)Not measured94.3%Only GLM 5 measured
MedCode (Vals AI)51.5%Not measuredOnly Claude Haiku 5.5 measured
SimpleQA Verified23.8%Not measuredOnly Claude Haiku 5.5 measured
LMArena Text: scienceNot measured1460Only GLM 5 measured
LMArena Text: medicine and healthcareNot measured1455Only GLM 5 measured
LMArena Text: legal and governmentNot measured1453Only GLM 5 measured
LMArena Text: business and financeNot measured1430Only GLM 5 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index60
Web design benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
Design Arena: websites12621247Claude Haiku 5.5
Design Arena: UI components12911227Claude Haiku 5.5
Design Arena: game dev13131234Claude Haiku 5.5
Design Arena: data viz12941228Claude Haiku 5.5
Design Arena: 3D13421228Claude Haiku 5.5
Design Arena: all code categories12781246Claude Haiku 5.5
Design Arena: SVGNot measured1168Only GLM 5 measured
Design Arena: ASCII artNot measured1147Only GLM 5 measured
LiveBench design83.1%Not measuredOnly Claude Haiku 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index10
General benchmarks for Claude Haiku 5.5 and GLM 5
BenchmarkClaude Haiku 5.5GLM 5Leader
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%Not measuredOnly Claude Haiku 5.5 measured
IFBenchNot measured72.3%Only GLM 5 measured
Long context reasoning (AA-LCR)82.7%75.7%Claude Haiku 5.5
DTBench95.0%Not measuredOnly Claude Haiku 5.5 measured
LMCA51.1%Not measuredOnly Claude Haiku 5.5 measured
CL-benchNot measured18.7%Only GLM 5 measured
Furniture assembly47.5%Not measuredOnly Claude Haiku 5.5 measured
LMArena TextNot measured1446Only GLM 5 measured
LMArena Text: instruction followingNot measured1428Only GLM 5 measured
LMArena Text: creative writingNot measured1438Only GLM 5 measured
LMArena Text: EnglishNot measured1458Only GLM 5 measured
LMArena Text: non-EnglishNot measured1430Only GLM 5 measured
LMArena Text: ChineseNot measured1511Only GLM 5 measured
LMArena Text: GermanNot measured1447Only GLM 5 measured
LMArena Text: JapaneseNot measured1416Only GLM 5 measured
LMArena Text: KoreanNot measured1423Only GLM 5 measured
LMArena Text: FrenchNot measured1456Only GLM 5 measured
LMArena Text: SpanishNot measured1454Only GLM 5 measured
LMArena Text: RussianNot measured1436Only GLM 5 measured
LMArena Text: PolishNot measured1434Only GLM 5 measured
LMArena Text: multi-turnNot measured1456Only GLM 5 measured
LMArena Text: longer queriesNot measured1446Only GLM 5 measured
LMArena Text: writing and languageNot measured1437Only GLM 5 measured
LMArena Text: entertainment and mediaNot measured1426Only GLM 5 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
BenchmarkClaude Haiku 5.5GLM 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 5.5$0.0003Fits in one request
GLM 5$0.0026Fits 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$0.060Fits 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$0.232Exceeds the context window

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
SpecificationAnthropic Claude Haiku 5.5Z.ai GLM 5
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedOctober 7, 2026February 11, 2026
Context window1M205K
Input $/Mtok$0.10$1.00
Output $/Mtok$0.50$3.20
Coding index70.741.7
Independent measurements behind it53
Cost per solved taskNot computable$0.63
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Haiku 5.5 better than GLM 5 for coding?

Pick Claude Haiku 5.5 for coding: it scores 70.7 on the Vibe Coding Index against 41.7 for GLM 5. Pick GLM 5 for work measured by Vending-Bench 2, where it leads.

Which is cheaper, Claude Haiku 5.5 or GLM 5?

Claude Haiku 5.5 costs $0.10 per million input tokens and $0.50 per million output tokens; GLM 5 costs $1.00 and $3.20. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, Claude Haiku 5.5 or GLM 5?

Claude Haiku 5.5, with 1M tokens against 205K.

How many benchmarks is the Claude Haiku 5.5 vs GLM 5 comparison based on?

19 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's on 3. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-haiku-5-5-vs-glm-5" title="Claude Haiku 5.5 vs GLM 5, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-haiku-5-5-vs-glm-5">LLMBenchmark.ai, Claude Haiku 5.5 vs GLM 5</a></p>