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Claude Opus 4.1 vs GLM 4.7 Flash

Claude Opus 4.1 leads GLM 4.7 Flash on the Artificial Analysis Intelligence Index, 22.8 to 14.9, and GLM 4.7 Flash costs 187.5x less per output token ($0.40 vs $75.00 per million). Updated October 21, 2026; 37 benchmarks have a result for both.

Replace Claude Opus 4.1 Replace GLM 4.7 Flash
Claude Opus 4.1Anthropic
Coding
No data
Overall
50.2
Output $/M
$75.00
34
GLM 4.7 FlashZ.ai
Coding
No data
Overall
42.1
Output $/M
$0.40
3
vs boards won of 37 shared

Claude Opus 4.1 or GLM 4.7 Flash: which to pick

Neither model has a coding score yet, so the two cannot be ranked on coding.

Pick Claude Opus 4.1 for work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Model AClaude Opus 4.1AnthropicNot benchmarked1 independent benchmarkNo cost per solved taskModel BGLM 4.7 FlashZ.aiNot benchmarkedNo coding benchmarkNo cost per solved task
Shared results
37
Claude Opus 4.1 only
36
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 Opus 4.1 not benchmarked, GLM 4.7 Flash not benchmarked.
Widest category
General, 15.0 points apart on average over 16 shared benchmarks.
Widest single gap
LMArena Text: Polish: Claude Opus 4.1 1413 against GLM 4.7 Flash 1291, 20.3 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.1 $75.00 against GLM 4.7 Flash $0.40 per million output tokens, 187.5x apart.
Context window
Both take 200K tokens.

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 Opus 4.1BarsGLM 4.7 FlashTies
Coding20
Intelligence10
Reasoning40
Math30
Knowledge40
Web design43
General160
All shared boards343
CodingLike-for-likeSix of these boards feed the Vibe Coding Index20
Coding benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
LMArena WebDev1390Not measuredOnly Claude Opus 4.1 measured
LiveCodeBench (Vals AI)66.5%Not measuredOnly Claude Opus 4.1 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured22.0%Only GLM 4.7 Flash measured
Terminal-Bench38.0%Not measuredOnly Claude Opus 4.1 measured
WeirdML45.9%Not measuredOnly Claude Opus 4.1 measured
Cybench42.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: coding14791382Claude Opus 4.1
LMArena Text: software and IT14561389Claude Opus 4.1
LMArena WebDev: HTML1399Not measuredOnly Claude Opus 4.1 measured
SciCode4.6%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 29 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index10
Intelligence benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
AA Intelligence Index22.814.9Claude Opus 4.1
Epoch Capabilities Index144.1Not measuredOnly Claude Opus 4.1 measured
Agentic workDirectional onlyPublic boards, shown as published, kept out of the index4 boards, none shared
Agentic work benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
τ²-Bench TelecomNot measured98.8%Only GLM 4.7 Flash measured
METR time horizons66.8%Not measuredOnly Claude Opus 4.1 measured
GDPval43.6%Not measuredOnly Claude Opus 4.1 measured
DeepResearch Bench48.3%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 37 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index40
Reasoning benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
GPQA Diamond76.3%Not measuredOnly Claude Opus 4.1 measured
MMMU Pro (Vals AI)77.5%Not measuredOnly Claude Opus 4.1 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)77.3%60.5%Claude Opus 4.1
SimpleBench60.0%Not measuredOnly Claude Opus 4.1 measured
Mystery game puzzles21.0%Not measuredOnly Claude Opus 4.1 measured
EBR-bench7.9%Not measuredOnly Claude Opus 4.1 measured
VPCT35.0%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: hard prompts14421356Claude Opus 4.1
LMArena Text: expert14381357Claude Opus 4.1
LMArena Text: hard prompts in English14511369Claude Opus 4.1
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 Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
AIME78.2%Not measuredOnly Claude Opus 4.1 measured
MATH 500 (Vals AI)95.4%Not measuredOnly Claude Opus 4.1 measured
MGSM (Vals AI)94.4%Not measuredOnly Claude Opus 4.1 measured
OTIS Mock AIME68.9%58.3%Claude Opus 4.1
FrontierMath, tiers 1 to 312.6%Not measuredOnly Claude Opus 4.1 measured
FrontierMath, tier 42.4%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: math14311355Claude Opus 4.1
LMArena Text: mathematical work14341369Claude Opus 4.1
Neither model has a result on the other 5 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index40
Knowledge benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
MMLU Pro87.9%Not measuredOnly Claude Opus 4.1 measured
LegalBench (Vals AI)83.5%Not measuredOnly Claude Opus 4.1 measured
TaxEval (Vals AI)73.7%Not measuredOnly Claude Opus 4.1 measured
MortgageTax (Vals AI)61.1%Not measuredOnly Claude Opus 4.1 measured
MedQA (Vals AI)93.6%Not measuredOnly Claude Opus 4.1 measured
MedCode (Vals AI)47.2%Not measuredOnly Claude Opus 4.1 measured
LMArena Text: science14221358Claude Opus 4.1
LMArena Text: medicine and healthcare14161343Claude Opus 4.1
LMArena Text: legal and government14211357Claude Opus 4.1
LMArena Text: business and finance14061343Claude Opus 4.1
FACTS Benchmark Suite40.4%Not measuredOnly Claude Opus 4.1 measured
Neither model has a result on the other 7 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index43
Web design benchmarks for Claude Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
Design Arena: websites11771194GLM 4.7 Flash
Design Arena: UI components11651208GLM 4.7 Flash
Design Arena: game dev11711135Claude Opus 4.1
Design Arena: data viz11661123Claude Opus 4.1
Design Arena: 3D11531121Claude Opus 4.1
Design Arena: all code categories11711178GLM 4.7 Flash
Design Arena: SVG11521038Claude Opus 4.1
Design Arena: ASCII art1167Not measuredOnly Claude Opus 4.1 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 Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 4.7 FlashLeader
SAGE (Vals AI)31.4%Not measuredOnly Claude Opus 4.1 measured
MedScribe (Vals AI)73.9%Not measuredOnly Claude Opus 4.1 measured
IFBenchNot measured60.8%Only GLM 4.7 Flash measured
Long context reasoning (AA-LCR)Not measured41.7%Only GLM 4.7 Flash measured
DTBench80.0%Not measuredOnly Claude Opus 4.1 measured
LMCA37.1%Not measuredOnly Claude Opus 4.1 measured
Creative writing (Lech Mazur)84.7%Not measuredOnly Claude Opus 4.1 measured
LMArena Text14191351Claude Opus 4.1
LMArena Text: instruction following14351327Claude Opus 4.1
LMArena Text: creative writing14121296Claude Opus 4.1
LMArena Text: English14331373Claude Opus 4.1
LMArena Text: non-English14051330Claude Opus 4.1
LMArena Text: Chinese14271403Claude Opus 4.1
LMArena Text: German14131336Claude Opus 4.1
LMArena Text: Japanese1377Not measuredOnly Claude Opus 4.1 measured
LMArena Text: Korean13811283Claude Opus 4.1
LMArena Text: French14331332Claude Opus 4.1
LMArena Text: Spanish14481350Claude Opus 4.1
LMArena Text: Russian14221333Claude Opus 4.1
LMArena Text: Polish14131291Claude Opus 4.1
LMArena Text: multi-turn14441342Claude Opus 4.1
LMArena Text: longer queries14551345Claude Opus 4.1
LMArena Text: writing and language14181320Claude Opus 4.1
LMArena Text: entertainment and media13981304Claude Opus 4.1
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 Opus 4.1 and GLM 4.7 Flash
BenchmarkClaude Opus 4.1GLM 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 Opus 4.1$0.052Fits 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 Opus 4.1$0.975Fits 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 Opus 4.1$3.75Exceeds the context window
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 Opus 4.1 and GLM 4.7 Flash
SpecificationAnthropic Claude Opus 4.1Z.ai GLM 4.7 Flash
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedAugust 5, 2025January 19, 2026
Context window200K200K
Input $/Mtok$15.00$0.0653
Output $/Mtok$75.00$0.40
Coding indexNot benchmarkedNot benchmarked
Independent measurements behind it10
Cost per solved taskNot computableNot computable
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.1 better than GLM 4.7 Flash for coding?

Neither model has a coding score yet, so the two cannot be ranked on coding. Pick Claude Opus 4.1 for work measured by Design Arena: websites or Design Arena: UI components, where it leads.

Which is cheaper, Claude Opus 4.1 or GLM 4.7 Flash?

Claude Opus 4.1 costs $15.00 per million input tokens and $75.00 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 Opus 4.1 or GLM 4.7 Flash?

Neither: both take 200K tokens.

How many benchmarks is the Claude Opus 4.1 vs GLM 4.7 Flash comparison based on?

37 benchmarks have a result for both models as of October 21, 2026. Claude Opus 4.1's coding index rests on 1 independent benchmark 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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