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Claude Sonnet 4.6 vs GLM 4.6V

Claude Sonnet 4.6 leads GLM 4.6V on the Artificial Analysis Intelligence Index, 30.1 to 11.2, and GLM 4.6V costs 16.7x less per output token ($0.90 vs $15.00 per million). Updated October 21, 2026; 34 benchmarks have a result for both.

Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
34
GLM 4.6VZ.ai
Coding
No data
Overall
No data
Output $/M
$0.90
0
vs boards won of 34 shared

Claude Sonnet 4.6 or GLM 4.6V: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding.

Pick GLM 4.6V for output tokens 16.7x cheaper ($0.90 vs $15.00 per million).

Shared results
34
Claude Sonnet 4.6 only
84
GLM 4.6V only
4
Like-for-like categories
6 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 4.6 57.3 from 5 benchmarks, GLM 4.6V not benchmarked.
Widest category
Agentic work, 48.0 points apart on average over 1 shared benchmark.
Widest single gap
τ²-Bench Telecom: Claude Sonnet 4.6 79.5% against GLM 4.6V 31.6%, 48.0 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GLM 4.6V $0.90 per million output tokens, 16.7x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, GLM 4.6V 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 Sonnet 4.6BarsGLM 4.6VTies
Coding30
Intelligence10
Agentic work10
Reasoning70
Knowledge40
General180
All shared boards340
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
LiveBench coding66.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev1523Not measuredOnly Claude Sonnet 4.6 measured
AA Coding Index63.0Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
SWE-bench Verified (Vals AI)77.4%Not measuredOnly Claude Sonnet 4.6 measured
Vibe Code Bench (Vals AI)55.8%Not measuredOnly Claude Sonnet 4.6 measured
Code migration (Vals AI)39.9%Not measuredOnly Claude Sonnet 4.6 measured
ProgramBench (Vals AI)0.5%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench 2.1 (Vals AI)57.3%Not measuredOnly Claude Sonnet 4.6 measured
SkillsBench (Vals AI)49.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured41.1%Only GLM 4.6V measured
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%14.4%Claude Sonnet 4.6
Terminal-Bench53.4%Not measuredOnly Claude Sonnet 4.6 measured
FrontierCode24.3%Not measuredOnly Claude Sonnet 4.6 measured
WeirdML66.1%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: coding15031389Claude Sonnet 4.6
LMArena Text: software and IT14911391Claude Sonnet 4.6
LMArena WebDev: React1512Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: HTML1527Not measuredOnly Claude Sonnet 4.6 measured
LMArena WebDev: from an image1529Not measuredOnly Claude Sonnet 4.6 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 Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
AA Intelligence Index30.111.2Claude Sonnet 4.6
Epoch Capabilities Index152.8Not measuredOnly Claude Sonnet 4.6 measured
Agentic workLike-for-likePublic boards, shown as published, kept out of the index10
Agentic work benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
AA Agentic Index31.8Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building web apps1190Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building full-stack apps1213Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building mobile apps1212Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Android apps1196Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building Godot games1226Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: agents building games1177Not measuredOnly Claude Sonnet 4.6 measured
LiveBench research63.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench browser68.0%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench long agentic23.1%Not measuredOnly Claude Sonnet 4.6 measured
Finance Agent (Vals AI)51.0%Not measuredOnly Claude Sonnet 4.6 measured
Tax Agent Bench (Vals AI)25.8%Not measuredOnly Claude Sonnet 4.6 measured
Legal Research Bench (Vals AI)38.5%Not measuredOnly Claude Sonnet 4.6 measured
Excel Modeling Benchmark (Vals AI)60.2%Not measuredOnly Claude Sonnet 4.6 measured
τ²-Bench Telecom79.5%31.6%Claude Sonnet 4.6
APEX-Agents43.0%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld 2.09.3%Not measuredOnly Claude Sonnet 4.6 measured
DeepResearch Bench54.9%Not measuredOnly Claude Sonnet 4.6 measured
OSWorld72.1%Not measuredOnly Claude Sonnet 4.6 measured
Vending-Bench 2$7,204Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 21 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
GPQA Diamond85.6%Not measuredOnly Claude Sonnet 4.6 measured
LiveBench reasoning86.4%Not measuredOnly Claude Sonnet 4.6 measured
MMMU Pro (Vals AI)83.6%Not measuredOnly Claude Sonnet 4.6 measured
GPQA Diamond (Artificial Analysis run)87.5%71.9%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%9.6%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI86.5%Not measuredOnly Claude Sonnet 4.6 measured
ARC-AGI-260.4%Not measuredOnly Claude Sonnet 4.6 measured
Chess puzzles23.0%Not measuredOnly Claude Sonnet 4.6 measured
Mystery game puzzles16.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: hard prompts14851367Claude Sonnet 4.6
LMArena Text: expert15001371Claude Sonnet 4.6
LMArena Text: hard prompts in English14931391Claude Sonnet 4.6
LMArena Vision: diagrams13061182Claude Sonnet 4.6
LMArena Vision: homework13111155Claude Sonnet 4.6
Neither model has a result on the other 7 boards here
MathDirectional onlyPublic boards, shown as published, kept out of the index7 boards, none shared
Math benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
AA Math IndexNot measured85.3Only GLM 4.6V measured
AIME 2025 (Artificial Analysis run)Not measured85.3%Only GLM 4.6V measured
OTIS Mock AIME85.8%Not measuredOnly Claude Sonnet 4.6 measured
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math1462Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: mathematical work1483Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
MMLU Pro87.3%Not measuredOnly Claude Sonnet 4.6 measured
LegalBench (Vals AI)82.1%Not measuredOnly Claude Sonnet 4.6 measured
CaseLaw (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.6 measured
CorpFin (Vals AI)65.3%Not measuredOnly Claude Sonnet 4.6 measured
TaxEval (Vals AI)77.1%Not measuredOnly Claude Sonnet 4.6 measured
MortgageTax (Vals AI)67.7%Not measuredOnly Claude Sonnet 4.6 measured
MedQA (Vals AI)92.1%Not measuredOnly Claude Sonnet 4.6 measured
MMLU Pro (Artificial Analysis run)Not measured79.9%Only GLM 4.6V measured
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741389Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511389Claude Sonnet 4.6
LMArena Text: legal and government14701393Claude Sonnet 4.6
LMArena Text: business and finance14641359Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 4 boards here
Web designDirectional onlyPublic boards, shown as published, kept out of the index9 boards, none shared
Web design benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
Design Arena: websites1285Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: UI components1272Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: game dev1259Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: data viz1277Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: 3D1234Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: all code categories1276Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: SVG1197Not measuredOnly Claude Sonnet 4.6 measured
Design Arena: ASCII art1235Not measuredOnly Claude Sonnet 4.6 measured
LiveBench design71.8%Not measuredOnly Claude Sonnet 4.6 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index180
General benchmarks for Claude Sonnet 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
LiveBench data analysis76.1%Not measuredOnly Claude Sonnet 4.6 measured
Public Benefits Bench (Vals AI)62.5%Not measuredOnly Claude Sonnet 4.6 measured
SAGE (Vals AI)46.6%Not measuredOnly Claude Sonnet 4.6 measured
Vals Multimodal Index60.6%Not measuredOnly Claude Sonnet 4.6 measured
IFBench56.6%30.1%Claude Sonnet 4.6
Long context reasoning (AA-LCR)80.0%48.7%Claude Sonnet 4.6
DTBench89.9%Not measuredOnly Claude Sonnet 4.6 measured
LMCA46.5%Not measuredOnly Claude Sonnet 4.6 measured
ExploitBench23.6%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text14581376Claude Sonnet 4.6
LMArena Text: instruction following14761350Claude Sonnet 4.6
LMArena Text: creative writing14351347Claude Sonnet 4.6
LMArena Vision12831164Claude Sonnet 4.6
LMArena Text: English14721395Claude Sonnet 4.6
LMArena Text: non-English14401358Claude Sonnet 4.6
LMArena Text: Chinese14911425Claude Sonnet 4.6
LMArena Text: German1428Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean1410Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: French1465Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Spanish1464Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Russian14401339Claude Sonnet 4.6
LMArena Text: Polish1443Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: multi-turn14641359Claude Sonnet 4.6
LMArena Text: longer queries14791357Claude Sonnet 4.6
LMArena Text: writing and language14441347Claude Sonnet 4.6
LMArena Text: entertainment and media14311343Claude Sonnet 4.6
LMArena Vision: English12981179Claude Sonnet 4.6
LMArena Vision: Chinese13071217Claude Sonnet 4.6
LMArena Vision: reading text12961171Claude Sonnet 4.6
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing12721113Claude Sonnet 4.6
LMArena Document1482Not measuredOnly Claude Sonnet 4.6 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 4.6 and GLM 4.6V
BenchmarkClaude Sonnet 4.6GLM 4.6VLeader
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 4.6$0.011Fits in one request
GLM 4.6V$0.0008Fits in one request

GLM 4.6V costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GLM 4.6V$0.018Fits in one request

GLM 4.6V costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GLM 4.6V$0.069Exceeds the context window

GLM 4.6V 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 4.6 and GLM 4.6V
SpecificationAnthropic Claude Sonnet 4.6Z.ai GLM 4.6V
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026December 8, 2025
Context window1M131K
Input $/Mtok$3.00$0.30
Output $/Mtok$15.00$0.90
Coding index57.3Not benchmarked
Independent measurements behind it50
Cost per solved task$1.68Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.6 better than GLM 4.6V for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; GLM 4.6V has none, so the two cannot be ranked on coding. Pick GLM 4.6V for output tokens 16.7x cheaper ($0.90 vs $15.00 per million).

Which is cheaper, Claude Sonnet 4.6 or GLM 4.6V?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GLM 4.6V costs $0.30 and $0.90. Cost per solved task is known for Claude Sonnet 4.6 only.

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

Claude Sonnet 4.6, with 1M tokens against 131K.

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

34 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.6's coding index rests on 5 independent benchmarks and GLM 4.6V's on 0. Where only one model has a result, the page says so instead of naming a winner.

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