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Claude Opus 5.5 vs GLM 5.1

Claude Opus 5.5 leads GLM 5.1 on coding, 88.8 to 49.2 on the Vibe Coding Index, and GLM 5.1 costs 4.5x less per output token ($4.40 vs $20.00 per million). Updated October 21, 2026; 61 benchmarks have a result for both.

Replace Claude Opus 5.5 Replace GLM 5.1
Claude Opus 5.5Anthropic
Coding
88.8
Overall
87.1
Output $/M
$20.00
61
GLM 5.1Z.ai
Coding
49.2
Overall
57.5
Output $/M
$4.40
0
vs boards won of 61 shared

Claude Opus 5.5 or GLM 5.1: which to pick

Pick Claude Opus 5.5 for coding: it scores 88.8 on the Vibe Coding Index against 49.2 for GLM 5.1.

Pick GLM 5.1 for output tokens 4.5x cheaper ($4.40 vs $20.00 per million).

Model AClaude Opus 5.5Anthropic88.8/1005 independent benchmarksNo cost per solved taskModel BGLM 5.1Z.ai49.2/1003 independent benchmarks$0.60 per solved task
Shared results
61
Claude Opus 5.5 only
48
GLM 5.1 only
28
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 5.5 88.8 from 5 benchmarks, GLM 5.1 49.2 from 3 benchmarks.
Widest category
Math, 30.8 points apart on average over 5 shared benchmarks.
Widest single gap
ProofBench: Claude Opus 5.5 100.0% against GLM 5.1 22.2%, 77.8 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against GLM 5.1 $4.40 per million output tokens, 4.5x apart.
Context window
Claude Opus 5.5 takes 1M tokens, GLM 5.1 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 5.5BarsGLM 5.1Ties
Coding110
Intelligence20
Agentic work70
Reasoning60
Math50
Knowledge60
Web design70
General170
All shared boards610
CodingLike-for-likeSix of these boards feed the Vibe Coding Index110
Coding benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev18071508Claude Opus 5.5
AA Coding IndexNot measured55.8Only GLM 5.1 measured
LiveCodeBench (Vals AI)Not measured81.4%Only GLM 5.1 measured
SWE-bench Verified (Vals AI)Not measured76.4%Only GLM 5.1 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%31.5%Claude Opus 5.5
Code migration (Vals AI)66.7%25.8%Claude Opus 5.5
ProgramBench (Vals AI)18.5%0.0%Claude Opus 5.5
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%56.9%Claude Opus 5.5
SWE-bench Multimodal (Vals AI)70.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench 1-100 (Vals AI)30.4%Not measuredOnly Claude Opus 5.5 measured
CyberBench (Vals AI)74.6%Not measuredOnly Claude Opus 5.5 measured
SciCode66.9%44.8%Claude Opus 5.5
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only GLM 5.1 measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
WeirdMLNot measured57.1%Only GLM 5.1 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4887.1Claude Opus 5.5
LMArena Text: coding15451485Claude Opus 5.5
LMArena Text: software and IT15381484Claude Opus 5.5
LMArena WebDev: React18551505Claude Opus 5.5
LMArena WebDev: HTML17531508Claude Opus 5.5
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
SciCode18.5%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 12 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
AA Intelligence Index57.626.1Claude Opus 5.5
Epoch Capabilities Index168.8149.8Claude Opus 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index70
Agentic work benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
AA Agentic IndexNot measured23.9Only GLM 5.1 measured
Design Arena: agents building web apps13171175Claude Opus 5.5
Design Arena: agents building full-stack appsNot measured1167Only GLM 5.1 measured
Design Arena: agents building mobile apps13101162Claude Opus 5.5
Design Arena: agents building Android appsNot measured1180Only GLM 5.1 measured
Design Arena: agents building Godot gamesNot measured1053Only GLM 5.1 measured
Design Arena: agents building gamesNot measured1164Only GLM 5.1 measured
Design Arena: HTML slidesNot measured1170Only GLM 5.1 measured
Design Arena: PowerPoint slidesNot measured1188Only GLM 5.1 measured
Design Arena: spreadsheets13521315Claude Opus 5.5
LiveBench research85.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench browser80.0%Not measuredOnly Claude Opus 5.5 measured
LiveBench long agentic85.0%Not measuredOnly Claude Opus 5.5 measured
SREBench (Vals AI)33.6%Not measuredOnly Claude Opus 5.5 measured
Finance Agent (Vals AI)58.6%44.8%Claude Opus 5.5
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%27.9%Claude Opus 5.5
Harvey's Legal Agent Benchmark (Vals AI)9.2%Not measuredOnly Claude Opus 5.5 measured
Excel Modeling Benchmark (Vals AI)75.9%Not measuredOnly Claude Opus 5.5 measured
BioMysteryBench (Vals AI)79.3%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench-Science (Vals AI)47.1%Not measuredOnly Claude Opus 5.5 measured
Vals Science Index58.7%Not measuredOnly Claude Opus 5.5 measured
Time Horizon Index (Vals AI)91.3%Not measuredOnly Claude Opus 5.5 measured
CUA-bench (Vals AI)14.0%Not measuredOnly Claude Opus 5.5 measured
Robo-bench (Vals AI)14.6%Not measuredOnly Claude Opus 5.5 measured
τ²-Bench TelecomNot measured97.7%Only GLM 5.1 measured
APEX-Agents73.5%40.9%Claude Opus 5.5
Remote Labor Index21.3%Not measuredOnly Claude Opus 5.5 measured
SpireClimb3.3%Not measuredOnly Claude Opus 5.5 measured
Vending-Bench 2$9,235$5,634Claude Opus 5.5
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 10 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index60
Reasoning benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
GPQA DiamondNot measured84.5%Only GLM 5.1 measured
LiveBench reasoning92.2%Not measuredOnly Claude Opus 5.5 measured
MysteryMechanism (Vals AI)49.5%Not measuredOnly Claude Opus 5.5 measured
GPQA Diamond (Artificial Analysis run)Not measured86.8%Only GLM 5.1 measured
Humanity's Last Exam (Artificial Analysis run)61.4%30.1%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%89.9%Claude Opus 5.5
ARC-AGI98.5%Not measuredOnly Claude Opus 5.5 measured
ARC-AGI-293.3%Not measuredOnly Claude Opus 5.5 measured
SimpleBenchNot measured55.1%Only GLM 5.1 measured
Chess puzzles67.0%20.0%Claude Opus 5.5
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts15361473Claude Opus 5.5
LMArena Text: expert15491478Claude Opus 5.5
LMArena Text: hard prompts in English15351482Claude Opus 5.5
LMArena Vision: diagrams1345Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: homework1362Not measuredOnly Claude Opus 5.5 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 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
AIMENot measured91.9%Only GLM 5.1 measured
OTIS Mock AIME100.0%93.3%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%36.8%Claude Opus 5.5
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%22.2%Claude Opus 5.5
LMArena Text: math15181473Claude Opus 5.5
LMArena Text: mathematical work15161470Claude Opus 5.5
Neither model has a result on the other 6 boards here
KnowledgeLike-for-likePublic boards, shown as published, kept out of the index60
Knowledge benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
MMLU ProNot measured86.9%Only GLM 5.1 measured
LegalBench (Vals AI)Not measured84.4%Only GLM 5.1 measured
CaseLaw (Vals AI)Not measured51.5%Only GLM 5.1 measured
CorpFin (Vals AI)Not measured64.5%Only GLM 5.1 measured
TaxEval (Vals AI)Not measured71.2%Only GLM 5.1 measured
MedCode (Vals AI)49.8%41.6%Claude Opus 5.5
SimpleQA Verified72.2%34.0%Claude Opus 5.5
LMArena Text: science15241478Claude Opus 5.5
LMArena Text: medicine and healthcare15091474Claude Opus 5.5
LMArena Text: legal and government15181465Claude Opus 5.5
LMArena Text: business and finance14941452Claude Opus 5.5
FACTS Benchmark Suite65.3%Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 6 boards here
Web designLike-for-likePublic boards, shown as published, kept out of the index70
Web design benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
Design Arena: websites13361290Claude Opus 5.5
Design Arena: UI components13921292Claude Opus 5.5
Design Arena: game dev14581265Claude Opus 5.5
Design Arena: data viz13971366Claude Opus 5.5
Design Arena: 3D14771336Claude Opus 5.5
Design Arena: all code categories13901268Claude Opus 5.5
Design Arena: SVG13331218Claude Opus 5.5
Design Arena: ASCII artNot measured1142Only GLM 5.1 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index170
General benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
Vals Index70.2%Not measuredOnly Claude Opus 5.5 measured
LiveBench data analysis80.3%Not measuredOnly Claude Opus 5.5 measured
Public Benefits Bench (Vals AI)70.6%61.8%Claude Opus 5.5
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%72.3%Claude Opus 5.5
IFBenchNot measured76.3%Only GLM 5.1 measured
Long context reasoning (AA-LCR)84.7%73.7%Claude Opus 5.5
DTBench98.9%Not measuredOnly Claude Opus 5.5 measured
LMCA68.2%Not measuredOnly Claude Opus 5.5 measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
ExploitBenchNot measured18.1%Only GLM 5.1 measured
LMArena Text15161463Claude Opus 5.5
LMArena Text: instruction following15371453Claude Opus 5.5
LMArena Text: creative writing15351453Claude Opus 5.5
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English15191476Claude Opus 5.5
LMArena Text: non-English15071448Claude Opus 5.5
LMArena Text: Chinese15821515Claude Opus 5.5
LMArena Text: GermanNot measured1467Only GLM 5.1 measured
LMArena Text: Japanese15341435Claude Opus 5.5
LMArena Text: KoreanNot measured1424Only GLM 5.1 measured
LMArena Text: French14931470Claude Opus 5.5
LMArena Text: Spanish15081468Claude Opus 5.5
LMArena Text: Russian15171454Claude Opus 5.5
LMArena Text: PolishNot measured1449Only GLM 5.1 measured
LMArena Text: multi-turn15011473Claude Opus 5.5
LMArena Text: longer queries15321467Claude Opus 5.5
LMArena Text: writing and language15321454Claude Opus 5.5
LMArena Text: entertainment and media15151442Claude Opus 5.5
LMArena Vision: English1317Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: reading text1326Not measuredOnly Claude Opus 5.5 measured
LMArena Vision: creative writing1320Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 14 boards here
Image generationNot comparablePublic boards, shown as published, kept out of the index0 boards, none shared
Image generation benchmarks for Claude Opus 5.5 and GLM 5.1
BenchmarkClaude Opus 5.5GLM 5.1Leader
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 5.5$0.014Fits in one request
GLM 5.1$0.0036Fits in one request

GLM 5.1 costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
GLM 5.1$0.083Fits in one request

GLM 5.1 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
GLM 5.1$0.324Exceeds the context window

GLM 5.1 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 5.5 and GLM 5.1
SpecificationAnthropic Claude Opus 5.5Z.ai GLM 5.1
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026April 7, 2026
Context window1M205K
Input $/Mtok$4.00$1.40
Output $/Mtok$20.00$4.40
Coding index88.849.2
Independent measurements behind it53
Cost per solved taskNot computable$0.60
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than GLM 5.1 for coding?

Pick Claude Opus 5.5 for coding: it scores 88.8 on the Vibe Coding Index against 49.2 for GLM 5.1. Pick GLM 5.1 for output tokens 4.5x cheaper ($4.40 vs $20.00 per million).

Which is cheaper, Claude Opus 5.5 or GLM 5.1?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; GLM 5.1 costs $1.40 and $4.40. Cost per solved task is known for GLM 5.1 only.

Which has the bigger context window, Claude Opus 5.5 or GLM 5.1?

Claude Opus 5.5, with 1M tokens against 205K.

How many benchmarks is the Claude Opus 5.5 vs GLM 5.1 comparison based on?

61 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 5 independent benchmarks and GLM 5.1's on 3. Where only one model has a result, the page says so instead of naming a winner.

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