Enter opens the highlighted result. Esc closes.

Claude Opus 4.6 vs GLM 4.7

Claude Opus 4.6 leads GLM 4.7 on coding, 57.2 to 55.1 on the Vibe Coding Index, and GLM 4.7 costs 11.4x less per output token ($2.20 vs $25.00 per million). Updated October 22, 2026; 72 benchmarks have a result for both.

Replace Claude Opus 4.6 Replace GLM 4.7
Claude Opus 4.6Anthropic
Coding
57.2
Overall
66.0
Output $/M
$25.00
69
GLM 4.7Z.ai
Coding
55.1
Overall
56.9
Output $/M
$2.20
2
vs boards won of 72 shared, 1 tied

Claude Opus 4.6 or GLM 4.7: which to pick

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 55.1 for GLM 4.7.

Pick GLM 4.7 for output tokens 11.4x cheaper ($2.20 vs $25.00 per million) and a lower cost per solved task ($0.29 against $1.56).

Model AClaude Opus 4.6Anthropic57.2/1004 independent benchmarks$1.56 per solved taskModel BGLM 4.7Z.ai55.1/1002 independent benchmarks$0.29 per solved task
Shared results
72
Claude Opus 4.6 only
38
GLM 4.7 only
9
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 Opus 4.6 57.2 from 4 benchmarks, GLM 4.7 55.1 from 2 benchmarks.
Widest category
Math, 18.4 points apart on average over 5 shared benchmarks.
Widest single gap
Terminal-Bench: Claude Opus 4.6 79.8% against GLM 4.7 33.4%, 46.4 points apart on a 0 to 100 scale.
Output price
Claude Opus 4.6 $25.00 against GLM 4.7 $2.20 per million output tokens, 11.4x apart.
Context window
Claude Opus 4.6 takes 1M tokens, GLM 4.7 205K.

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 4.6BarsGLM 4.7Ties
Coding90
Intelligence20
Agentic work41
Reasoning801 tie
Math50
Knowledge120
Web design80
General211
All shared boards6921 tie
CodingLike-for-likeSix of these boards feed the Vibe Coding Index90
Coding benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
SWE-bench Verified75.6%Not measuredOnly Claude Opus 4.6 measured
SWE-bench Multilingual72.0%Not measuredOnly Claude Opus 4.6 measured
LMArena WebDev15471435Claude Opus 4.6
AA Coding IndexNot measured45.3Only GLM 4.7 measured
LiveCodeBench (Vals AI)84.7%82.2%Claude Opus 4.6
SWE-bench Verified (Vals AI)78.2%69.4%Claude Opus 4.6
Vibe Code Bench (Vals AI)57.6%Not measuredOnly Claude Opus 4.6 measured
LiveCodeBench (Artificial Analysis run)Not measured89.4%Only GLM 4.7 measured
Terminal-Bench Hard (Artificial Analysis run)48.5%31.8%Claude Opus 4.6
Terminal-Bench79.8%33.4%Claude Opus 4.6
FrontierCode26.6%Not measuredOnly Claude Opus 4.6 measured
GSO-Bench41.2%Not measuredOnly Claude Opus 4.6 measured
WeirdML78.0%Not measuredOnly Claude Opus 4.6 measured
Cybench93.0%Not measuredOnly Claude Opus 4.6 measured
ALE-BenchNot measured399.5Only GLM 4.7 measured
LMArena Text: coding15341454Claude Opus 4.6
LMArena Text: software and IT15271453Claude Opus 4.6
LMArena WebDev: React15391420Claude Opus 4.6
LMArena WebDev: HTML15591447Claude Opus 4.6
LMArena WebDev: from an image1543Not measuredOnly Claude Opus 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 index20
Intelligence benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
AA Intelligence Index31.922.2Claude Opus 4.6
Epoch Capabilities Index155.7143.6Claude Opus 4.6
Agentic workLike-for-likePublic boards, shown as published, kept out of the index41
Agentic work benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
Design Arena: agents building web apps1206Not measuredOnly Claude Opus 4.6 measured
Design Arena: agents building full-stack apps12201050Claude Opus 4.6
Design Arena: agents building mobile apps12071105Claude Opus 4.6
Design Arena: agents building Android apps11971112Claude Opus 4.6
Design Arena: agents building Godot gamesNot measured1058Only GLM 4.7 measured
Design Arena: agents building games1212Not measuredOnly Claude Opus 4.6 measured
τ²-Bench Telecom92.1%95.9%GLM 4.7
APEX-Agents46.3%Not measuredOnly Claude Opus 4.6 measured
METR time horizons78.9%Not measuredOnly Claude Opus 4.6 measured
Remote Labor Index4.2%Not measuredOnly Claude Opus 4.6 measured
DeepResearch Bench55.3%Not measuredOnly Claude Opus 4.6 measured
Vending-Bench 2$8,018$2,377Claude Opus 4.6
BrowseComp-PlusNot measured64.7%Only GLM 4.7 measured
Neither model has a result on the other 28 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index80
Reasoning benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
GPQA Diamond89.7%80.0%Claude Opus 4.6
MMMU Pro (Vals AI)83.9%Not measuredOnly Claude Opus 4.6 measured
GPQA Diamond (Artificial Analysis run)89.6%85.9%Claude Opus 4.6
Humanity's Last Exam (Artificial Analysis run)39.9%27.4%Claude Opus 4.6
GPQA Diamond (Epoch AI run)90.5%83.3%Claude Opus 4.6
ARC-AGI94.0%Not measuredOnly Claude Opus 4.6 measured
ARC-AGI-269.2%Not measuredOnly Claude Opus 4.6 measured
SimpleBench67.6%47.7%Claude Opus 4.6
Chess puzzles21.0%21.0%Tie
Mystery game puzzles25.0%Not measuredOnly Claude Opus 4.6 measured
EBR-bench12.7%Not measuredOnly Claude Opus 4.6 measured
LMArena Text: hard prompts15251443Claude Opus 4.6
LMArena Text: expert15441424Claude Opus 4.6
LMArena Text: hard prompts in English15301452Claude Opus 4.6
LMArena Vision: diagrams1340Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: homework1337Not measuredOnly Claude Opus 4.6 measured
Kagi LLM Benchmark83.6%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 5 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index50
Math benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
AIME95.6%93.3%Claude Opus 4.6
MGSM (Vals AI)Not measured88.2%Only GLM 4.7 measured
AA Math IndexNot measured95.0Only GLM 4.7 measured
AIME 2025 (Artificial Analysis run)Not measured95.0%Only GLM 4.7 measured
OTIS Mock AIME94.4%83.3%Claude Opus 4.6
FrontierMath, tiers 1 to 366.0%Not measuredOnly Claude Opus 4.6 measured
FrontierMath, tier 426.8%Not measuredOnly Claude Opus 4.6 measured
ProofBench50.0%6.0%Claude Opus 4.6
LMArena Text: math15181424Claude Opus 4.6
LMArena Text: mathematical work15251411Claude Opus 4.6
Neither model has a result on the other 3 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index120
Knowledge benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
MMLU Pro89.1%82.7%Claude Opus 4.6
LegalBench (Vals AI)85.3%83.4%Claude Opus 4.6
CaseLaw (Vals AI)62.1%54.9%Claude Opus 4.6
CorpFin (Vals AI)67.0%46.4%Claude Opus 4.6
TaxEval (Vals AI)76.0%68.8%Claude Opus 4.6
MortgageTax (Vals AI)68.5%Not measuredOnly Claude Opus 4.6 measured
MedQA (Vals AI)95.4%93.7%Claude Opus 4.6
MedCode (Vals AI)49.1%32.8%Claude Opus 4.6
MMLU Pro (Artificial Analysis run)Not measured85.6%Only GLM 4.7 measured
SimpleQA Verified47.0%32.2%Claude Opus 4.6
LMArena Text: science15191457Claude Opus 4.6
LMArena Text: medicine and healthcare15041469Claude Opus 4.6
LMArena Text: legal and government15121444Claude Opus 4.6
LMArena Text: business and finance14971429Claude Opus 4.6
FACTS Benchmark Suite41.5%Not measuredOnly Claude Opus 4.6 measured
Neither model has a result on the other 3 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index80
Web design benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
Design Arena: websites12911225Claude Opus 4.6
Design Arena: UI components12811196Claude Opus 4.6
Design Arena: game dev12771188Claude Opus 4.6
Design Arena: data viz12791195Claude Opus 4.6
Design Arena: 3D12731190Claude Opus 4.6
Design Arena: all code categories12881216Claude Opus 4.6
Design Arena: SVG12271142Claude Opus 4.6
Design Arena: ASCII art12551165Claude Opus 4.6
Neither model has a result on the other 1 board here
GeneralLike-for-likePublic boards, shown as published, kept out of the index211
General benchmarks for Claude Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
SAGE (Vals AI)51.6%Not measuredOnly Claude Opus 4.6 measured
MedScribe (Vals AI)86.7%68.6%Claude Opus 4.6
IFBench53.1%67.9%GLM 4.7
Long context reasoning (AA-LCR)78.0%71.0%Claude Opus 4.6
DTBench91.2%Not measuredOnly Claude Opus 4.6 measured
LMCA55.8%Not measuredOnly Claude Opus 4.6 measured
CL-bench20.7%15.9%Claude Opus 4.6
Furniture assembly28.3%Not measuredOnly Claude Opus 4.6 measured
CL-bench Life17.0%10.9%Claude Opus 4.6
LMArena Text15011435Claude Opus 4.6
LMArena Text: instruction following15211412Claude Opus 4.6
LMArena Text: creative writing15051401Claude Opus 4.6
LMArena Vision1316Not measuredOnly Claude Opus 4.6 measured
LMArena Text: English15111453Claude Opus 4.6
LMArena Text: non-English14881417Claude Opus 4.6
LMArena Text: Chinese15511495Claude Opus 4.6
LMArena Text: German15001426Claude Opus 4.6
LMArena Text: Japanese14881439Claude Opus 4.6
LMArena Text: Korean14641399Claude Opus 4.6
LMArena Text: French15121432Claude Opus 4.6
LMArena Text: Spanish15101434Claude Opus 4.6
LMArena Text: Russian14971423Claude Opus 4.6
LMArena Text: Polish14991435Claude Opus 4.6
LMArena Text: multi-turn15111446Claude Opus 4.6
LMArena Text: longer queries15181432Claude Opus 4.6
LMArena Text: writing and language15021411Claude Opus 4.6
LMArena Text: entertainment and media14921400Claude Opus 4.6
LMArena Vision: English1324Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: Chinese1370Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: humor1314Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: recognizing things1274Not measuredOnly Claude Opus 4.6 measured
LMArena Vision: creative writing1331Not measuredOnly Claude Opus 4.6 measured
LMArena Document1507Not measuredOnly Claude Opus 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 Opus 4.6 and GLM 4.7
BenchmarkClaude Opus 4.6GLM 4.7Leader
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 4.6$0.018Fits in one request
GLM 4.7$0.0017Fits in one request

GLM 4.7 costs less

Repository review

50K input + 3K output tokens

Claude Opus 4.6$0.325Fits in one request
GLM 4.7$0.037Fits in one request

GLM 4.7 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 4.6$1.25Fits in one request
GLM 4.7$0.142Exceeds the context window

GLM 4.7 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 4.6 and GLM 4.7
SpecificationAnthropic Claude Opus 4.6Z.ai GLM 4.7
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedFebruary 4, 2026December 22, 2025
Context window1M205K
Input $/Mtok$5.00$0.60
Output $/Mtok$25.00$2.20
Coding index57.255.1
Independent measurements behind it42
Cost per solved task$1.56$0.29
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 4.6 better than GLM 4.7 for coding?

Pick Claude Opus 4.6 for coding: it scores 57.2 on the Vibe Coding Index against 55.1 for GLM 4.7. Pick GLM 4.7 for output tokens 11.4x cheaper ($2.20 vs $25.00 per million) and a lower cost per solved task ($0.29 against $1.56).

Which is cheaper, Claude Opus 4.6 or GLM 4.7?

Claude Opus 4.6 costs $5.00 per million input tokens and $25.00 per million output tokens; GLM 4.7 costs $0.60 and $2.20. Per solved SWE-bench Verified task, Claude Opus 4.6 costs $1.56 and GLM 4.7 $0.29.

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

Claude Opus 4.6, with 1M tokens against 205K.

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

72 benchmarks have a result for both models as of October 22, 2026. Claude Opus 4.6's coding index rests on 4 independent benchmarks and GLM 4.7's on 2. Where only one model has a result, the page says so instead of naming a winner.

Compare next

Embed this comparison on your site

Free under CC BY 4.0, while the source link stays visible. Preview the frame · Terms and other embeds

<iframe src="https://llmbenchmark.ai/embed/compare/claude-opus-4-6-vs-glm-4-7" title="Claude Opus 4.6 vs GLM 4.7, LLMBenchmark.ai" width="100%" height="360" style="border:0;max-width:100%" loading="lazy"></iframe>
<p style="font:13px/1.4 sans-serif;margin:6px 0 0">Source: <a href="https://llmbenchmark.ai/compare/claude-opus-4-6-vs-glm-4-7">LLMBenchmark.ai, Claude Opus 4.6 vs GLM 4.7</a></p>