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Claude Sonnet 5.5 vs GLM 4.6

Claude Sonnet 5.5 leads GLM 4.6 on coding, 87.3 to 8.8 on the Vibe Coding Index, and GLM 4.6 costs 4.5x less per output token ($2.20 vs $10.00 per million). Updated October 22, 2026; 38 benchmarks have a result for both.

Replace Claude Sonnet 5.5 Replace GLM 4.6
Claude Sonnet 5.5Anthropic
Coding
87.3
Overall
82.8
Output $/M
$10.00
38
GLM 4.6Z.ai
Coding
8.8
Overall
33.4
Output $/M
$2.20
0
vs boards won of 38 shared

Claude Sonnet 5.5 or GLM 4.6: which to pick

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 8.8 for GLM 4.6.

Pick GLM 4.6 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million).

Model AClaude Sonnet 5.5Anthropic87.3/1005 independent benchmarksNo cost per solved taskModel BGLM 4.6Z.ai8.8/1002 independent benchmarksNo cost per solved task
Shared results
38
Claude Sonnet 5.5 only
58
GLM 4.6 only
31
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 Sonnet 5.5 87.3 from 5 benchmarks, GLM 4.6 8.8 from 2 benchmarks.
Widest category
Coding, 43.3 points apart on average over 6 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 5.5 92.4% against GLM 4.6 3.1%, 89.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against GLM 4.6 $2.20 per million output tokens, 4.5x apart.
Context window
Claude Sonnet 5.5 takes 1M tokens, GLM 4.6 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 Sonnet 5.5BarsGLM 4.6Ties
Coding60
Intelligence10
Agentic work10
Reasoning40
Math20
Knowledge40
Web design60
General140
All shared boards380
CodingLike-for-likeSix of these boards feed the Vibe Coding Index60
Coding benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
SWE-bench VerifiedNot measured68.2%Only GLM 4.6 measured
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev17681341Claude Sonnet 5.5
AA Coding IndexNot measured45.8Only GLM 4.6 measured
LiveCodeBench (Vals AI)Not measured81.0%Only GLM 4.6 measured
Terminal-Bench 4 (Vals AI)64.1%Not measuredOnly Claude Sonnet 5.5 measured
Vibe Code Bench (Vals AI)92.4%3.1%Claude Sonnet 5.5
Code migration (Vals AI)69.8%Not measuredOnly Claude Sonnet 5.5 measured
ProgramBench (Vals AI)6.5%Not measuredOnly Claude Sonnet 5.5 measured
IOI (Vals AI)83.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 2.1 (Vals AI)83.2%Not measuredOnly Claude Sonnet 5.5 measured
SWE-bench Multimodal (Vals AI)58.3%Not measuredOnly Claude Sonnet 5.5 measured
CyberBench (Vals AI)59.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveCodeBench (Artificial Analysis run)Not measured69.5%Only GLM 4.6 measured
SciCode61.0%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured28.8%Only GLM 4.6 measured
Terminal-BenchNot measured24.5%Only GLM 4.6 measured
FrontierCode52.1%Not measuredOnly Claude Sonnet 5.5 measured
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
ALE-Bench1819.1340.8Claude Sonnet 5.5
LMArena Text: coding15131449Claude Sonnet 5.5
LMArena Text: software and IT15041455Claude Sonnet 5.5
LMArena WebDev: React1817Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: HTML17411350Claude Sonnet 5.5
LMArena WebDev: from an image1737Not measuredOnly Claude Sonnet 5.5 measured
SciCode13.8%Not measuredOnly Claude Sonnet 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 index10
Intelligence benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
AA Intelligence Index56.018.5Claude Sonnet 5.5
Epoch Capabilities Index166.2Not measuredOnly Claude Sonnet 5.5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
Design Arena: agents building web apps1305Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building full-stack appsNot measured1029Only GLM 4.6 measured
Design Arena: agents building mobile apps12601096Claude Sonnet 5.5
Design Arena: agents building Android appsNot measured1084Only GLM 4.6 measured
Design Arena: agents building Godot gamesNot measured1180Only GLM 4.6 measured
Design Arena: spreadsheets1260Not measuredOnly Claude Sonnet 5.5 measured
LiveBench research83.6%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench browser84.0%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench long agentic78.8%Not measuredOnly Claude Sonnet 5.5 measured
SREBench (Vals AI)30.1%Not measuredOnly Claude Sonnet 5.5 measured
Finance Agent (Vals AI)58.1%Not measuredOnly Claude Sonnet 5.5 measured
Tax Agent Bench (Vals AI)42.0%Not measuredOnly Claude Sonnet 5.5 measured
Legal Research Bench (Vals AI)48.1%Not measuredOnly Claude Sonnet 5.5 measured
Harvey's Legal Agent Benchmark (Vals AI)10.4%Not measuredOnly Claude Sonnet 5.5 measured
Excel Modeling Benchmark (Vals AI)75.7%Not measuredOnly Claude Sonnet 5.5 measured
BioMysteryBench (Vals AI)81.1%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Sonnet 5.5 measured
Vals Science Index59.1%Not measuredOnly Claude Sonnet 5.5 measured
τ²-Bench TelecomNot measured76.9%Only GLM 4.6 measured
APEX-Agents75.5%Not measuredOnly Claude Sonnet 5.5 measured
SpireClimb1.3%Not measuredOnly Claude Sonnet 5.5 measured
Vending-Bench 2$11,165Not measuredOnly Claude Sonnet 5.5 measured
Berkeley Function Calling Leaderboard (BFCL)Not measured72.4%Only GLM 4.6 measured
BrowseComp-PlusNot measured48.2%Only GLM 4.6 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
GPQA DiamondNot measured74.5%Only GLM 4.6 measured
LiveBench reasoning91.6%Not measuredOnly Claude Sonnet 5.5 measured
MysteryMechanism (Vals AI)49.1%Not measuredOnly Claude Sonnet 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured78.0%Only GLM 4.6 measured
Humanity's Last Exam (Artificial Analysis run)55.0%14.5%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%Not measuredOnly Claude Sonnet 5.5 measured
Chess puzzles59.0%Not measuredOnly Claude Sonnet 5.5 measured
Mystery game puzzles65.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: hard prompts14941440Claude Sonnet 5.5
LMArena Text: expert15311432Claude Sonnet 5.5
LMArena Text: hard prompts in English15021445Claude Sonnet 5.5
LMArena Vision: diagrams1329Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: homework1331Not measuredOnly Claude Sonnet 5.5 measured
Kagi LLM BenchmarkNot measured45.7%Only GLM 4.6 measured
Neither model has a result on the other 8 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
AIMENot measured92.7%Only GLM 4.6 measured
MGSM (Vals AI)Not measured89.8%Only GLM 4.6 measured
AA Math IndexNot measured86.0Only GLM 4.6 measured
AIME 2025 (Artificial Analysis run)Not measured86.0%Only GLM 4.6 measured
OTIS Mock AIME100.0%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tiers 1 to 388.8%Not measuredOnly Claude Sonnet 5.5 measured
FrontierMath, tier 480.5%Not measuredOnly Claude Sonnet 5.5 measured
ProofBench100.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: math14971432Claude Sonnet 5.5
LMArena Text: mathematical work15101447Claude Sonnet 5.5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
MMLU ProNot measured82.2%Only GLM 4.6 measured
LegalBench (Vals AI)Not measured79.6%Only GLM 4.6 measured
CorpFin (Vals AI)Not measured56.8%Only GLM 4.6 measured
TaxEval (Vals AI)Not measured66.2%Only GLM 4.6 measured
MedQA (Vals AI)Not measured92.2%Only GLM 4.6 measured
MedCode (Vals AI)52.9%Not measuredOnly Claude Sonnet 5.5 measured
MMLU Pro (Artificial Analysis run)Not measured82.9%Only GLM 4.6 measured
SimpleQA Verified46.5%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: science14831456Claude Sonnet 5.5
LMArena Text: medicine and healthcare14641455Claude Sonnet 5.5
LMArena Text: legal and government14831448Claude Sonnet 5.5
LMArena Text: business and finance14681416Claude Sonnet 5.5
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 Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
Design Arena: websites13261174Claude Sonnet 5.5
Design Arena: UI components13681145Claude Sonnet 5.5
Design Arena: game dev14711150Claude Sonnet 5.5
Design Arena: data viz13921161Claude Sonnet 5.5
Design Arena: 3D14451128Claude Sonnet 5.5
Design Arena: all code categories13641165Claude Sonnet 5.5
Design Arena: SVGNot measured1108Only GLM 4.6 measured
LiveBench design85.0%Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index140
General benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
Vals Index70.8%Not measuredOnly Claude Sonnet 5.5 measured
LiveBench data analysis59.5%Not measuredOnly Claude Sonnet 5.5 measured
Public Benefits Bench (Vals AI)67.2%Not measuredOnly Claude Sonnet 5.5 measured
SAGE (Vals AI)51.8%Not measuredOnly Claude Sonnet 5.5 measured
MedScribe (Vals AI)91.1%Not measuredOnly Claude Sonnet 5.5 measured
IFBenchNot measured43.4%Only GLM 4.6 measured
Long context reasoning (AA-LCR)82.7%54.0%Claude Sonnet 5.5
DTBench97.3%Not measuredOnly Claude Sonnet 5.5 measured
LMCA68.3%Not measuredOnly Claude Sonnet 5.5 measured
Furniture assembly75.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text14731440Claude Sonnet 5.5
LMArena Text: instruction following14921410Claude Sonnet 5.5
LMArena Text: creative writing14671412Claude Sonnet 5.5
LMArena Vision1287Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: English14841449Claude Sonnet 5.5
LMArena Text: non-English14561426Claude Sonnet 5.5
LMArena Text: Chinese15351499Claude Sonnet 5.5
LMArena Text: GermanNot measured1447Only GLM 4.6 measured
LMArena Text: JapaneseNot measured1393Only GLM 4.6 measured
LMArena Text: KoreanNot measured1400Only GLM 4.6 measured
LMArena Text: French14991459Claude Sonnet 5.5
LMArena Text: Spanish14511436Claude Sonnet 5.5
LMArena Text: Russian14541418Claude Sonnet 5.5
LMArena Text: PolishNot measured1447Only GLM 4.6 measured
LMArena Text: multi-turn14651427Claude Sonnet 5.5
LMArena Text: longer queries14951422Claude Sonnet 5.5
LMArena Text: writing and language14741415Claude Sonnet 5.5
LMArena Text: entertainment and media14611409Claude Sonnet 5.5
LMArena Vision: English1289Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: reading text1297Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: creative writing1242Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 15 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5.5 and GLM 4.6
BenchmarkClaude Sonnet 5.5GLM 4.6Leader
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 Sonnet 5.5$0.0070Fits in one request
GLM 4.6$0.0017Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5.5$0.130Fits in one request
GLM 4.6$0.037Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5.5$0.500Fits in one request
GLM 4.6$0.142Exceeds the context window

GLM 4.6 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 Sonnet 5.5 and GLM 4.6
SpecificationAnthropic Claude Sonnet 5.5Z.ai GLM 4.6
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026September 30, 2025
Context window1M205K
Input $/Mtok$2.00$0.60
Output $/Mtok$10.00$2.20
Coding index87.38.8
Independent measurements behind it52
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than GLM 4.6 for coding?

Pick Claude Sonnet 5.5 for coding: it scores 87.3 on the Vibe Coding Index against 8.8 for GLM 4.6. Pick GLM 4.6 for output tokens 4.5x cheaper ($2.20 vs $10.00 per million).

Which is cheaper, Claude Sonnet 5.5 or GLM 4.6?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 4.6 costs $0.60 and $2.20. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Sonnet 5.5 or GLM 4.6?

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

How many benchmarks is the Claude Sonnet 5.5 vs GLM 4.6 comparison based on?

38 benchmarks have a result for both models as of October 22, 2026. Claude Sonnet 5.5's coding index rests on 5 independent benchmarks and GLM 4.6's on 2. Where only one model has a result, the page says so instead of naming a winner.

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<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-sonnet-5-5-vs-glm-4-6">LLMBenchmark.ai, Claude Sonnet 5.5 vs GLM 4.6</a></p>