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Claude Sonnet 5.5 vs GLM 4.7 Flash

Claude Sonnet 5.5 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 56.0 to 14.9, and GLM 4.7 Flash costs 25.0x less per output token ($0.40 vs $10.00 per million). Updated October 21, 2026; 35 benchmarks have a result for both.

Claude Sonnet 5.5Anthropic
Coding
87.3
Overall
82.8
Output $/M
$10.00
35
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
0
vs boards won of 35 shared

Claude Sonnet 5.5 or GLM 4.7 Flash: which to pick

Only Claude Sonnet 5.5 has a coding score, 87.3 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 25.0x cheaper ($0.40 vs $10.00 per million).

Shared results
35
Claude Sonnet 5.5 only
61
GLM 4.7 Flash only
8
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 Sonnet 5.5 87.3 from 5 benchmarks, GLM 4.7 Flash not benchmarked.
Widest category
Intelligence, 41.1 points apart on average over 1 shared benchmark.
Widest single gap
Humanity's Last Exam (Artificial Analysis run): Claude Sonnet 5.5 55.0% against GLM 4.7 Flash 7.6%, 47.4 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 5.5 $10.00 against GLM 4.7 Flash $0.40 per million output tokens, 25.0x apart.
Context window
Claude Sonnet 5.5 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 5.5BarsGLM 4.7 FlashTies
Coding20
Intelligence10
Reasoning50
Math30
Knowledge40
Web design60
General140
All shared boards350
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
LiveBench coding94.7%Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev1768Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench 4 (Vals AI)64.1%Not measuredOnly Claude Sonnet 5.5 measured
Vibe Code Bench (Vals AI)92.4%Not measuredOnly Claude Sonnet 5.5 measured
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
SciCode61.0%Not measuredOnly Claude Sonnet 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.7 Flash measured
FrontierCode52.1%Not measuredOnly Claude Sonnet 5.5 measured
FrontierSWE61.9%Not measuredOnly Claude Sonnet 5.5 measured
ALE-Bench1819.1Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: coding15131382Claude Sonnet 5.5
LMArena Text: software and IT15041389Claude Sonnet 5.5
LMArena WebDev: React1817Not measuredOnly Claude Sonnet 5.5 measured
LMArena WebDev: HTML1741Not measuredOnly Claude Sonnet 5.5 measured
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 18 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
AA Intelligence Index56.014.9Claude Sonnet 5.5
Epoch Capabilities Index166.2Not measuredOnly Claude Sonnet 5.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index19 boards, none shared
Agentic work benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
Design Arena: agents building web apps1306Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: agents building mobile apps1257Not measuredOnly Claude Sonnet 5.5 measured
Design Arena: spreadsheets1244Not 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 measured98.8%Only GLM 4.7 Flash 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
Neither model has a result on the other 22 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index50
Reasoning benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
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 measured58.1%Only GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)55.0%7.6%Claude Sonnet 5.5
GPQA Diamond (Epoch AI run)95.6%60.5%Claude Sonnet 5.5
Chess puzzles59.0%Not measuredOnly Claude Sonnet 5.5 measured
Mystery game puzzles65.0%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: hard prompts14941356Claude Sonnet 5.5
LMArena Text: expert15311357Claude Sonnet 5.5
LMArena Text: hard prompts in English15021369Claude Sonnet 5.5
LMArena Vision: diagrams1329Not measuredOnly Claude Sonnet 5.5 measured
LMArena Vision: homework1331Not measuredOnly Claude Sonnet 5.5 measured
Neither model has a result on the other 10 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
OTIS Mock AIME100.0%58.3%Claude Sonnet 5.5
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: math14971355Claude Sonnet 5.5
LMArena Text: mathematical work15101369Claude Sonnet 5.5
Neither model has a result on the other 7 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 5.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
MedCode (Vals AI)52.9%Not measuredOnly Claude Sonnet 5.5 measured
SimpleQA Verified46.5%Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: science14831358Claude Sonnet 5.5
LMArena Text: medicine and healthcare14641343Claude Sonnet 5.5
LMArena Text: legal and government14831357Claude Sonnet 5.5
LMArena Text: business and finance14681343Claude Sonnet 5.5
Neither model has a result on the other 12 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 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
Design Arena: websites13261194Claude Sonnet 5.5
Design Arena: UI components13651208Claude Sonnet 5.5
Design Arena: game dev14691135Claude Sonnet 5.5
Design Arena: data viz13941123Claude Sonnet 5.5
Design Arena: 3D14521121Claude Sonnet 5.5
Design Arena: all code categories13641178Claude Sonnet 5.5
Design Arena: SVGNot measured1038Only GLM 4.7 Flash 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 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 4.7 FlashLeader
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 measured60.8%Only GLM 4.7 Flash measured
Long context reasoning (AA-LCR)82.7%41.7%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 Text14731351Claude Sonnet 5.5
LMArena Text: instruction following14921327Claude Sonnet 5.5
LMArena Text: creative writing14671296Claude Sonnet 5.5
LMArena Vision1287Not measuredOnly Claude Sonnet 5.5 measured
LMArena Text: English14841373Claude Sonnet 5.5
LMArena Text: non-English14561330Claude Sonnet 5.5
LMArena Text: Chinese15351403Claude Sonnet 5.5
LMArena Text: GermanNot measured1336Only GLM 4.7 Flash measured
LMArena Text: KoreanNot measured1283Only GLM 4.7 Flash measured
LMArena Text: French14991332Claude Sonnet 5.5
LMArena Text: Spanish14511350Claude Sonnet 5.5
LMArena Text: Russian14541333Claude Sonnet 5.5
LMArena Text: PolishNot measured1291Only GLM 4.7 Flash measured
LMArena Text: multi-turn14651342Claude Sonnet 5.5
LMArena Text: longer queries14951345Claude Sonnet 5.5
LMArena Text: writing and language14741320Claude Sonnet 5.5
LMArena Text: entertainment and media14611304Claude 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 16 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 4.7 Flash
BenchmarkClaude Sonnet 5.5GLM 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 5.5$0.0070Fits 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 5.5$0.130Fits 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 5.5$0.500Fits 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 5.5 and GLM 4.7 Flash
SpecificationAnthropic Claude Sonnet 5.5Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 28, 2026January 19, 2026
Context window1M200K
Input $/Mtok$2.00$0.0653
Output $/Mtok$10.00$0.40
Coding index87.3Not benchmarked
Independent measurements behind it50
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 5.5 better than GLM 4.7 Flash for coding?

Only Claude Sonnet 5.5 has a coding score, 87.3 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 25.0x cheaper ($0.40 vs $10.00 per million).

Which is cheaper, Claude Sonnet 5.5 or GLM 4.7 Flash?

Claude Sonnet 5.5 costs $2.00 per million input tokens and $10.00 per million output tokens; GLM 4.7 Flash costs $0.0653 and $0.40. Cost per solved task is known for neither of them.

Which has the bigger context window, Claude Sonnet 5.5 or GLM 4.7 Flash?

Claude Sonnet 5.5, with 1M tokens against 200K.

How many benchmarks is the Claude Sonnet 5.5 vs GLM 4.7 Flash comparison based on?

35 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 5.5'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.

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