Enter opens the highlighted result. Esc closes.

Claude Sonnet 4.6 vs GLM 4.7 Flash

Claude Sonnet 4.6 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 30.1 to 14.9, and GLM 4.7 Flash costs 37.5x less per output token ($0.40 vs $15.00 per million). Updated October 21, 2026; 43 benchmarks have a result for both.

Replace Claude Sonnet 4.6 Replace GLM 4.7 Flash
Claude Sonnet 4.6Anthropic
Coding
57.3
Overall
60.3
Output $/M
$15.00
41
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
2
vs boards won of 43 shared

Claude Sonnet 4.6 or GLM 4.7 Flash: which to pick

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding.

Pick GLM 4.7 Flash for output tokens 37.5x cheaper ($0.40 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Model AClaude Sonnet 4.6Anthropic57.3/1005 independent benchmarks$1.68 per solved taskModel BGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
43
Claude Sonnet 4.6 only
75
GLM 4.7 Flash only
0
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 4.6 57.3 from 5 benchmarks, GLM 4.7 Flash not benchmarked.
Widest category
Reasoning, 24.7 points apart on average over 6 shared benchmarks.
Widest single gap
Long context reasoning (AA-LCR): Claude Sonnet 4.6 80.0% against GLM 4.7 Flash 41.7%, 38.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.6 $15.00 against GLM 4.7 Flash $0.40 per million output tokens, 37.5x apart.
Context window
Claude Sonnet 4.6 takes 1M tokens, GLM 4.7 Flash 200K.

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 4.7 FlashTies
Coding30
Intelligence10
Agentic work01
Reasoning60
Math30
Knowledge40
Web design70
General171
All shared boards412
CodingLike-for-likeSix of these boards feed the Vibe Coding Index30
Coding benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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
SciCode50.1%Not measuredOnly Claude Sonnet 4.6 measured
Terminal-Bench Hard (Artificial Analysis run)53.0%22.0%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: coding15031382Claude Sonnet 4.6
LMArena Text: software and IT14911389Claude 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 19 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
AA Intelligence Index30.114.9Claude 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 index01
Agentic work benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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%98.8%GLM 4.7 Flash
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 index60
Reasoning benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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%58.1%Claude Sonnet 4.6
Humanity's Last Exam (Artificial Analysis run)33.6%7.6%Claude Sonnet 4.6
GPQA Diamond (Epoch AI run)87.4%60.5%Claude Sonnet 4.6
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 prompts14851356Claude Sonnet 4.6
LMArena Text: expert15001357Claude Sonnet 4.6
LMArena Text: hard prompts in English14931369Claude Sonnet 4.6
LMArena Vision: diagrams1306Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: homework1311Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 7 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
AIME92.3%Not measuredOnly Claude Sonnet 4.6 measured
OTIS Mock AIME85.8%58.3%Claude Sonnet 4.6
ProofBench45.0%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: math14621355Claude Sonnet 4.6
LMArena Text: mathematical work14831369Claude Sonnet 4.6
Neither model has a result on the other 8 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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
SimpleQA Verified35.5%Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: science14741358Claude Sonnet 4.6
LMArena Text: medicine and healthcare14511343Claude Sonnet 4.6
LMArena Text: legal and government14701357Claude Sonnet 4.6
LMArena Text: business and finance14641343Claude Sonnet 4.6
FACTS Benchmark Suite37.0%Not measuredOnly Claude Sonnet 4.6 measured
Neither model has a result on the other 5 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
Design Arena: websites12851194Claude Sonnet 4.6
Design Arena: UI components12721208Claude Sonnet 4.6
Design Arena: game dev12591135Claude Sonnet 4.6
Design Arena: data viz12771123Claude Sonnet 4.6
Design Arena: 3D12341121Claude Sonnet 4.6
Design Arena: all code categories12761178Claude Sonnet 4.6
Design Arena: SVG11971038Claude Sonnet 4.6
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 index171
General benchmarks for Claude Sonnet 4.6 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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%60.8%GLM 4.7 Flash
Long context reasoning (AA-LCR)80.0%41.7%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 Text14581351Claude Sonnet 4.6
LMArena Text: instruction following14761327Claude Sonnet 4.6
LMArena Text: creative writing14351296Claude Sonnet 4.6
LMArena Vision1283Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: English14721373Claude Sonnet 4.6
LMArena Text: non-English14401330Claude Sonnet 4.6
LMArena Text: Chinese14911403Claude Sonnet 4.6
LMArena Text: German14281336Claude Sonnet 4.6
LMArena Text: Japanese1420Not measuredOnly Claude Sonnet 4.6 measured
LMArena Text: Korean14101283Claude Sonnet 4.6
LMArena Text: French14651332Claude Sonnet 4.6
LMArena Text: Spanish14641350Claude Sonnet 4.6
LMArena Text: Russian14401333Claude Sonnet 4.6
LMArena Text: Polish14431291Claude Sonnet 4.6
LMArena Text: multi-turn14641342Claude Sonnet 4.6
LMArena Text: longer queries14791345Claude Sonnet 4.6
LMArena Text: writing and language14441320Claude Sonnet 4.6
LMArena Text: entertainment and media14311304Claude Sonnet 4.6
LMArena Vision: English1298Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: Chinese1307Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: reading text1296Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: humor1248Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: recognizing things1195Not measuredOnly Claude Sonnet 4.6 measured
LMArena Vision: creative writing1272Not measuredOnly Claude Sonnet 4.6 measured
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 4.7 Flash
BenchmarkClaude Sonnet 4.6GLM 4.7 FlashLeader
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 4.7 Flash$0.0003Fits in one request

GLM 4.7 Flash costs less

Repository review

50K input + 3K output tokens

Claude Sonnet 4.6$0.195Fits in one request
GLM 4.7 Flash$0.0045Fits in one request

GLM 4.7 Flash costs less

Agent loop

200K input + 10K output tokens

Claude Sonnet 4.6$0.750Fits in one request
GLM 4.7 Flash$0.017Exceeds the context window

GLM 4.7 Flash 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 4.7 Flash
SpecificationAnthropic Claude Sonnet 4.6Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedFebruary 17, 2026January 19, 2026
Context window1M200K
Input $/Mtok$3.00$0.0653
Output $/Mtok$15.00$0.40
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 4.7 Flash for coding?

Only Claude Sonnet 4.6 has a coding score, 57.3 on the Vibe Coding Index; GLM 4.7 Flash has none, so the two cannot be ranked on coding. Pick GLM 4.7 Flash for output tokens 37.5x cheaper ($0.40 vs $15.00 per million) and work measured by τ²-Bench Telecom or IFBench, where it leads.

Which is cheaper, Claude Sonnet 4.6 or GLM 4.7 Flash?

Claude Sonnet 4.6 costs $3.00 per million input tokens and $15.00 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for Claude Sonnet 4.6 only.

Which has the bigger context window, Claude Sonnet 4.6 or GLM 4.7 Flash?

Claude Sonnet 4.6, with 1M tokens against 200K.

How many benchmarks is the Claude Sonnet 4.6 vs GLM 4.7 Flash comparison based on?

43 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 4.7 Flash's on 0. Where only one model has a result, the page says so instead of naming a winner.

Compare next