Enter opens the highlighted result. Esc closes.

Claude Sonnet 4.5 vs GLM 4.7 Flash

Claude Sonnet 4.5 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 20.7 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; 37 benchmarks have a result for both.

Replace Claude Sonnet 4.5 Replace GLM 4.7 Flash
Claude Sonnet 4.5Anthropic
Coding
39.5
Overall
49.5
Output $/M
$15.00
35
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
2
vs boards won of 37 shared

Claude Sonnet 4.5 or GLM 4.7 Flash: which to pick

Only Claude Sonnet 4.5 has a coding score, 39.5 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 Design Arena: websites or Design Arena: UI components, where it leads.

Model AClaude Sonnet 4.5Anthropic39.5/1003 independent benchmarks$1.16 per solved taskModel BGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Claude Sonnet 4.5 only
58
GLM 4.7 Flash only
6
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 4.5 39.5 from 3 benchmarks, GLM 4.7 Flash not benchmarked.
Widest category
Reasoning, 19.3 points apart on average over 4 shared benchmarks.
Widest single gap
LMArena Text: creative writing: Claude Sonnet 4.5 1442 against GLM 4.7 Flash 1296, 24.3 points apart on a 0 to 100 scale.
Output price
Claude Sonnet 4.5 $15.00 against GLM 4.7 Flash $0.40 per million output tokens, 37.5x apart.
Context window
Claude Sonnet 4.5 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 4.5BarsGLM 4.7 FlashTies
Coding20
Intelligence10
Reasoning40
Math30
Knowledge40
Web design52
General160
All shared boards352
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
SWE-bench Verified74.8%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Multilingual67.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev1394Not measuredOnly Claude Sonnet 4.5 measured
AA Coding Index52.1Not measuredOnly Claude Sonnet 4.5 measured
LiveCodeBench (Vals AI)73.0%Not measuredOnly Claude Sonnet 4.5 measured
SWE-bench Verified (Vals AI)70.0%Not measuredOnly Claude Sonnet 4.5 measured
Vibe Code Bench (Vals AI)22.6%Not measuredOnly Claude Sonnet 4.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.7 Flash measured
Terminal-Bench46.5%Not measuredOnly Claude Sonnet 4.5 measured
GSO-Bench14.7%Not measuredOnly Claude Sonnet 4.5 measured
WeirdML47.7%Not measuredOnly Claude Sonnet 4.5 measured
Cybench60.0%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: coding14881382Claude Sonnet 4.5
LMArena Text: software and IT14731389Claude Sonnet 4.5
LMArena WebDev: React1386Not measuredOnly Claude Sonnet 4.5 measured
LMArena WebDev: HTML1399Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 23 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
AA Intelligence Index20.714.9Claude Sonnet 4.5
Epoch Capabilities Index146.7Not measuredOnly Claude Sonnet 4.5 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index12 boards, none shared
Agentic work benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
AA Agentic Index15.8Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building web apps1059Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building full-stack apps1050Not measuredOnly Claude Sonnet 4.5 measured
Design Arena: agents building mobile apps1137Not measuredOnly Claude Sonnet 4.5 measured
τ²-Bench TelecomNot measured98.8%Only GLM 4.7 Flash measured
METR time horizons67.4%Not measuredOnly Claude Sonnet 4.5 measured
Remote Labor Index2.1%Not measuredOnly Claude Sonnet 4.5 measured
GDPval42.5%Not measuredOnly Claude Sonnet 4.5 measured
DeepResearch Bench52.6%Not measuredOnly Claude Sonnet 4.5 measured
OSWorld62.9%Not measuredOnly Claude Sonnet 4.5 measured
Vending-Bench 2$3,839Not measuredOnly Claude Sonnet 4.5 measured
Berkeley Function Calling Leaderboard (BFCL)73.2%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 29 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
GPQA Diamond81.6%Not measuredOnly Claude Sonnet 4.5 measured
MMMU Pro (Vals AI)79.3%Not measuredOnly Claude Sonnet 4.5 measured
GPQA Diamond (Artificial Analysis run)Not measured58.1%Only GLM 4.7 Flash measured
Humanity's Last Exam (Artificial Analysis run)Not measured7.6%Only GLM 4.7 Flash measured
GPQA Diamond (Epoch AI run)82.3%60.5%Claude Sonnet 4.5
ARC-AGI63.7%Not measuredOnly Claude Sonnet 4.5 measured
ARC-AGI-213.6%Not measuredOnly Claude Sonnet 4.5 measured
SimpleBench54.3%Not measuredOnly Claude Sonnet 4.5 measured
Chess puzzles10.0%Not measuredOnly Claude Sonnet 4.5 measured
Mystery game puzzles17.0%Not measuredOnly Claude Sonnet 4.5 measured
EBR-bench2.4%Not measuredOnly Claude Sonnet 4.5 measured
VPCT39.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: hard prompts14621356Claude Sonnet 4.5
LMArena Text: expert14831357Claude Sonnet 4.5
LMArena Text: hard prompts in English14711369Claude Sonnet 4.5
Kagi LLM Benchmark57.9%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 6 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
AIME88.2%Not measuredOnly Claude Sonnet 4.5 measured
MGSM (Vals AI)94.3%Not measuredOnly Claude Sonnet 4.5 measured
OTIS Mock AIME77.8%58.3%Claude Sonnet 4.5
FrontierMath, tiers 1 to 323.9%Not measuredOnly Claude Sonnet 4.5 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Sonnet 4.5 measured
ProofBench19.0%Not measuredOnly Claude Sonnet 4.5 measured
MATH level 597.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: math14491355Claude Sonnet 4.5
LMArena Text: mathematical work14621369Claude Sonnet 4.5
Neither model has a result on the other 4 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
MMLU Pro87.4%Not measuredOnly Claude Sonnet 4.5 measured
LegalBench (Vals AI)84.1%Not measuredOnly Claude Sonnet 4.5 measured
CaseLaw (Vals AI)62.2%Not measuredOnly Claude Sonnet 4.5 measured
CorpFin (Vals AI)62.0%Not measuredOnly Claude Sonnet 4.5 measured
TaxEval (Vals AI)73.3%Not measuredOnly Claude Sonnet 4.5 measured
MortgageTax (Vals AI)64.0%Not measuredOnly Claude Sonnet 4.5 measured
MedQA (Vals AI)94.7%Not measuredOnly Claude Sonnet 4.5 measured
MedCode (Vals AI)44.1%Not measuredOnly Claude Sonnet 4.5 measured
SimpleQA Verified30.7%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: science14481358Claude Sonnet 4.5
LMArena Text: medicine and healthcare14441343Claude Sonnet 4.5
LMArena Text: legal and government14511357Claude Sonnet 4.5
LMArena Text: business and finance14401343Claude Sonnet 4.5
FACTS Benchmark Suite40.6%Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 4 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index52
Web design benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
Design Arena: websites11901194GLM 4.7 Flash
Design Arena: UI components11731208GLM 4.7 Flash
Design Arena: game dev11661135Claude Sonnet 4.5
Design Arena: data viz11671123Claude Sonnet 4.5
Design Arena: 3D11581121Claude Sonnet 4.5
Design Arena: all code categories11831178Claude Sonnet 4.5
Design Arena: SVG11151038Claude Sonnet 4.5
Design Arena: ASCII art1205Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index160
General benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 4.7 FlashLeader
SAGE (Vals AI)36.1%Not measuredOnly Claude Sonnet 4.5 measured
MedScribe (Vals AI)84.5%Not measuredOnly Claude Sonnet 4.5 measured
IFBenchNot measured60.8%Only GLM 4.7 Flash measured
Long context reasoning (AA-LCR)Not measured41.7%Only GLM 4.7 Flash measured
DTBench83.2%Not measuredOnly Claude Sonnet 4.5 measured
LMCA38.8%Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text14381351Claude Sonnet 4.5
LMArena Text: instruction following14591327Claude Sonnet 4.5
LMArena Text: creative writing14421296Claude Sonnet 4.5
LMArena Text: English14501373Claude Sonnet 4.5
LMArena Text: non-English14251330Claude Sonnet 4.5
LMArena Text: Chinese14601403Claude Sonnet 4.5
LMArena Text: German14271336Claude Sonnet 4.5
LMArena Text: Japanese1390Not measuredOnly Claude Sonnet 4.5 measured
LMArena Text: Korean14021283Claude Sonnet 4.5
LMArena Text: French14591332Claude Sonnet 4.5
LMArena Text: Spanish14581350Claude Sonnet 4.5
LMArena Text: Russian14371333Claude Sonnet 4.5
LMArena Text: Polish14231291Claude Sonnet 4.5
LMArena Text: multi-turn14651342Claude Sonnet 4.5
LMArena Text: longer queries14751345Claude Sonnet 4.5
LMArena Text: writing and language14421320Claude Sonnet 4.5
LMArena Text: entertainment and media14281304Claude Sonnet 4.5
LMArena Document1450Not measuredOnly Claude Sonnet 4.5 measured
Neither model has a result on the other 22 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Sonnet 4.5 and GLM 4.7 Flash
BenchmarkClaude Sonnet 4.5GLM 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 4.5$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 4.5$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 4.5$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 4.5 and GLM 4.7 Flash
SpecificationAnthropic Claude Sonnet 4.5Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 29, 2025January 19, 2026
Context window1M200K
Input $/Mtok$3.00$0.0653
Output $/Mtok$15.00$0.40
Coding index39.5Not benchmarked
Independent measurements behind it30
Cost per solved task$1.16Not computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Sonnet 4.5 better than GLM 4.7 Flash for coding?

Only Claude Sonnet 4.5 has a coding score, 39.5 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 Design Arena: websites or Design Arena: UI components, where it leads.

Which is cheaper, Claude Sonnet 4.5 or GLM 4.7 Flash?

Claude Sonnet 4.5 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 4.5 only.

Which has the bigger context window, Claude Sonnet 4.5 or GLM 4.7 Flash?

Claude Sonnet 4.5, with 1M tokens against 200K.

How many benchmarks is the Claude Sonnet 4.5 vs GLM 4.7 Flash comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Claude Sonnet 4.5's coding index rests on 3 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