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Claude Sonnet 5 vs GLM 4.6

Updated October 21, 2026. 54 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Sonnet 5 Replace GLM 4.6
Claude Sonnet 5Anthropic
Coding
63.5
Overall
38.2
Output $/M
$10.00
50
GLM 4.6Z.ai
Coding
52.2
Overall
18.5
Output $/M
$2.20
4
vs boards won of 54 shared

Decision reading

Pick Claude Sonnet 5 for coding: it scores 63.5 on the Vibe Coding Index against 52.2 for GLM 4.6.

Pick GLM 4.6 when output tokens cost 4.5x less, or when what matters is LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Model AClaude Sonnet 5Anthropic63.5/1002 independent benchmarks$1.87 per solved taskModel BGLM 4.6Z.ai52.2/1002 independent benchmarksNo cost per solved task
Shared results
54
Claude Sonnet 5 only
66
GLM 4.6 only
12
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 Sonnet 5 63.5 from 2 benchmarks, GLM 4.6 52.2 from 2 benchmarks.
Widest category
Coding, 26.2 points apart on average over 8 shared benchmarks.
Widest single gap
Vibe Code Bench (Vals AI): Claude Sonnet 5 81.3% against GLM 4.6 3.1%, 78.2 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5 $10.00 against GLM 4.6 $2.20 per million output tokens, 4.5x apart.
Context window
Claude Sonnet 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 5BarsGLM 4.6Ties
Coding80
Intelligence10
Agentic work40
Reasoning60
Math20
Knowledge71
Web design70
General153
All shared boards504
CodingLike-for-likeFour of these boards feed the Vibe Coding Index80
Coding benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
SWE-bench VerifiedNot measured68.2%Only GLM 4.6 measured
LiveBench coding74.7%Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev15401341Claude Sonnet 5
AA Coding Index71.545.8Claude Sonnet 5
LiveCodeBench (Vals AI)82.4%81.0%Claude Sonnet 5
SWE-bench Verified (Vals AI)79.6%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 4 (Vals AI)10.6%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench (Vals AI)81.3%3.1%Claude Sonnet 5
Code migration (Vals AI)44.4%Not measuredOnly Claude Sonnet 5 measured
ProgramBench (Vals AI)0.0%Not measuredOnly Claude Sonnet 5 measured
IOI (Vals AI)45.0%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench 2.1 (Vals AI)74.5%Not measuredOnly Claude Sonnet 5 measured
Vibe Code Bench 1-100 (Vals AI)13.8%Not measuredOnly Claude Sonnet 5 measured
SkillsBench (Vals AI)46.5%Not measuredOnly Claude Sonnet 5 measured
CyberBench (Vals AI)70.3%Not measuredOnly Claude Sonnet 5 measured
LiveCodeBench (Artificial Analysis run)Not measured69.5%Only GLM 4.6 measured
SciCode54.3%Not measuredOnly Claude Sonnet 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
FrontierCode42.7%Not measuredOnly Claude Sonnet 5 measured
GSO-Bench37.3%Not measuredOnly Claude Sonnet 5 measured
WeirdML68.8%Not measuredOnly Claude Sonnet 5 measured
ALE-Bench1463.1340.8Claude Sonnet 5
LMArena Text: coding14831449Claude Sonnet 5
LMArena Text: software and IT14741455Claude Sonnet 5
LMArena WebDev: React1541Not measuredOnly Claude Sonnet 5 measured
LMArena WebDev: HTML15271350Claude Sonnet 5
LMArena WebDev: from an image1540Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
AA Intelligence Index38.218.5Claude Sonnet 5
Epoch Capabilities Index156.9Not measuredOnly Claude Sonnet 5 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index40
Agentic work benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
AA Agentic Index43.6Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building web apps1245Not measuredOnly Claude Sonnet 5 measured
Design Arena: agents building full-stack apps12491029Claude Sonnet 5
Design Arena: agents building mobile apps12151096Claude Sonnet 5
Design Arena: agents building Android apps12311090Claude Sonnet 5
Design Arena: agents building Godot games12251180Claude Sonnet 5
Design Arena: agents building games1227Not measuredOnly Claude Sonnet 5 measured
Design Arena: HTML slides1218Not measuredOnly Claude Sonnet 5 measured
Design Arena: PowerPoint slides1216Not measuredOnly Claude Sonnet 5 measured
Design Arena: spreadsheets1004Not measuredOnly Claude Sonnet 5 measured
LiveBench research82.8%Not measuredOnly Claude Sonnet 5 measured
LiveBench browser72.0%Not measuredOnly Claude Sonnet 5 measured
LiveBench long agentic39.0%Not measuredOnly Claude Sonnet 5 measured
SREBench (Vals AI)0.4%Not measuredOnly Claude Sonnet 5 measured
Finance Agent (Vals AI)53.9%Not measuredOnly Claude Sonnet 5 measured
Tax Agent Bench (Vals AI)29.4%Not measuredOnly Claude Sonnet 5 measured
Legal Research Bench (Vals AI)41.8%Not measuredOnly Claude Sonnet 5 measured
Excel Modeling Benchmark (Vals AI)66.3%Not measuredOnly Claude Sonnet 5 measured
Terminal-Bench-Science (Vals AI)5.7%Not measuredOnly Claude Sonnet 5 measured
τ²-Bench TelecomNot measured76.9%Only GLM 4.6 measured
APEX-Agents54.5%Not measuredOnly Claude Sonnet 5 measured
Vending-Bench 2$6,378Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 17 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
GPQA Diamond88.9%74.5%Claude Sonnet 5
LiveBench reasoning88.7%Not measuredOnly Claude Sonnet 5 measured
MMMU Pro (Vals AI)83.0%Not measuredOnly Claude Sonnet 5 measured
GPQA Diamond (Artificial Analysis run)91.1%78.0%Claude Sonnet 5
Humanity's Last Exam (Artificial Analysis run)41.3%14.5%Claude Sonnet 5
GPQA Diamond (Epoch AI run)90.5%Not measuredOnly Claude Sonnet 5 measured
SimpleBench60.6%Not measuredOnly Claude Sonnet 5 measured
Chess puzzles45.0%Not measuredOnly Claude Sonnet 5 measured
Mystery game puzzles35.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: hard prompts14611440Claude Sonnet 5
LMArena Text: expert14891432Claude Sonnet 5
LMArena Text: hard prompts in English14641445Claude Sonnet 5
LMArena Vision: diagrams1293Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index20
Math benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 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 AIME94.7%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tiers 1 to 365.6%Not measuredOnly Claude Sonnet 5 measured
FrontierMath, tier 429.3%Not measuredOnly Claude Sonnet 5 measured
ProofBench77.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: math14671432Claude Sonnet 5
LMArena Text: mathematical work14811447Claude Sonnet 5
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index71
Knowledge benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
MMLU Pro87.5%82.2%Claude Sonnet 5
LegalBench (Vals AI)83.9%79.6%Claude Sonnet 5
CorpFin (Vals AI)67.0%56.8%Claude Sonnet 5
TaxEval (Vals AI)75.6%66.2%Claude Sonnet 5
MortgageTax (Vals AI)70.0%Not measuredOnly Claude Sonnet 5 measured
MedQA (Vals AI)Not measured92.2%Only GLM 4.6 measured
MedCode (Vals AI)47.5%Not measuredOnly Claude Sonnet 5 measured
MMLU Pro (Artificial Analysis run)Not measured82.9%Only GLM 4.6 measured
SimpleQA Verified33.7%Not measuredOnly Claude Sonnet 5 measured
LMArena Text: science14601456Claude Sonnet 5
LMArena Text: medicine and healthcare14421455GLM 4.6
LMArena Text: legal and government14541448Claude Sonnet 5
LMArena Text: business and finance14361416Claude Sonnet 5
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
Design Arena: websites12741174Claude Sonnet 5
Design Arena: UI components12791147Claude Sonnet 5
Design Arena: game dev12781151Claude Sonnet 5
Design Arena: data viz12511161Claude Sonnet 5
Design Arena: 3D12611129Claude Sonnet 5
Design Arena: all code categories12761166Claude Sonnet 5
Design Arena: SVG11931108Claude Sonnet 5
Design Arena: ASCII art1207Not measuredOnly Claude Sonnet 5 measured
LiveBench design82.0%Not measuredOnly Claude Sonnet 5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index153
General benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 5GLM 4.6Leader
LiveBench data analysis71.7%Not measuredOnly Claude Sonnet 5 measured
Public Benefits Bench (Vals AI)66.0%Not measuredOnly Claude Sonnet 5 measured
SAGE (Vals AI)48.9%Not measuredOnly Claude Sonnet 5 measured
MedScribe (Vals AI)76.0%Not measuredOnly Claude Sonnet 5 measured
Vals Multimodal Index68.8%Not measuredOnly Claude Sonnet 5 measured
IFBenchNot measured43.4%Only GLM 4.6 measured
Long context reasoning (AA-LCR)82.0%54.0%Claude Sonnet 5
DTBench92.5%Not measuredOnly Claude Sonnet 5 measured
LMCA50.0%Not measuredOnly Claude Sonnet 5 measured
Surface Evolver Bench60.0%Not measuredOnly Claude Sonnet 5 measured
LMArena Text14421440Claude Sonnet 5
LMArena Text: instruction following14521410Claude Sonnet 5
LMArena Text: creative writing14161412Claude Sonnet 5
LMArena Vision1273Not measuredOnly Claude Sonnet 5 measured
LMArena Text: English14501449Claude Sonnet 5
LMArena Text: non-English14311426Claude Sonnet 5
LMArena Text: Chinese14781499GLM 4.6
LMArena Text: German14421447GLM 4.6
LMArena Text: Japanese14221393Claude Sonnet 5
LMArena Text: Korean14121400Claude Sonnet 5
LMArena Text: French14631459Claude Sonnet 5
LMArena Text: Spanish14381436Claude Sonnet 5
LMArena Text: Russian14501418Claude Sonnet 5
LMArena Text: Polish14251447GLM 4.6
LMArena Text: multi-turn14531427Claude Sonnet 5
LMArena Text: longer queries14621422Claude Sonnet 5
LMArena Text: writing and language14361415Claude Sonnet 5
LMArena Text: entertainment and media14111409Claude Sonnet 5
LMArena Vision: English1275Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: Chinese1331Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: reading text1288Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: humor1261Not measuredOnly Claude Sonnet 5 measured
LMArena Vision: creative writing1246Not measuredOnly Claude Sonnet 5 measured
LMArena Document1466Not measuredOnly Claude Sonnet 5 measured
Neither model has a result on the other 12 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 5 and GLM 4.6
BenchmarkClaude Sonnet 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$0.0070Fits in one request
GLM 4.6$0.0016Fits in one request

GLM 4.6 costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 5$0.130Fits in one request
GLM 4.6$0.034Fits in one request

GLM 4.6 costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 5$0.500Fits in one request
GLM 4.6$0.132Exceeds 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 and GLM 4.6
SpecificationAnthropic Claude Sonnet 5Z.ai GLM 4.6
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedJune 30, 2026September 30, 2025
Context window1M205K
Input $/Mtok$2.00$0.55
Output $/Mtok$10.00$2.20
Coding index63.552.2
Independent measurements behind it22
Cost per solved task$1.87Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5 better than GLM 4.6 for coding?

Pick Claude Sonnet 5 for coding: it scores 63.5 on the Vibe Coding Index against 52.2 for GLM 4.6. Pick GLM 4.6 when output tokens cost 4.5x less, or when what matters is LMArena Text: medicine and healthcare or LMArena Text: Chinese, where it leads.

Which is cheaper, Claude Sonnet 5 or GLM 4.6?

Claude Sonnet 5 costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 4.6 costs $0.55 and $2.20. Cost per solved task is known for Claude Sonnet 5 only.

Which has the bigger context window, Claude Sonnet 5 or GLM 4.6?

Claude Sonnet 5, with 1M tokens against 205K.

How many benchmarks is the Claude Sonnet 5 vs GLM 4.6 comparison based on?

54 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5's coding index rests on 2 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-vs-glm-4-6">LLMBenchmark.ai, Claude Sonnet 5 vs GLM 4.6</a></p>