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Claude Opus 5.5 vs GLM 5

Updated October 21, 2026. 47 benchmarks have a result for both. Coding is ranked on the Vibe Coding Index; every other board is shown as published.

Replace Claude Opus 5.5 Replace GLM 5
Claude Opus 5.5Anthropic
Coding
92.2
Overall
57.6
Output $/M
$20.00
47
GLM 5Z.ai
Coding
59.7
Overall
27.9
Output $/M
$3.20
0
vs boards won of 47 shared

Decision reading

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 59.7 for GLM 5.

Pick GLM 5 when output tokens cost 6.3x less.

Model AClaude Opus 5.5Anthropic92.2/1002 independent benchmarksNo cost per solved taskModel BGLM 5Z.ai59.7/1002 independent benchmarks$0.63 per solved task
Shared results
47
Claude Opus 5.5 only
60
GLM 5 only
28
Like-for-like categories
8 of 9

Shared results can support a head-to-head reading. Results only one model has describe coverage, not superiority.

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 92.2 from 2 benchmarks, GLM 5 59.7 from 2 benchmarks.
Widest category
Coding, 35.4 points apart on average over 7 shared benchmarks.
Widest single gap
ARC-AGI-2: Claude Opus 5.5 93.3% against GLM 5 4.9%, 88.5 points apart on a 0 to 100 scale.
Output price
Claude Opus 5.5 $20.00 against GLM 5 $3.20 per million output tokens, 6.3x apart.
Context window
Claude Opus 5.5 takes 1M tokens, GLM 5 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 5Ties
Coding70
Intelligence20
Agentic work20
Reasoning70
Math30
Knowledge40
Web design70
General150
All shared boards470
CodingLike-for-likeFour of these boards feed the Vibe Coding Index70
Coding benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
SWE-bench VerifiedNot measured72.8%Only GLM 5 measured
SWE-bench MultilingualNot measured69.7%Only GLM 5 measured
LiveBench coding96.3%Not measuredOnly Claude Opus 5.5 measured
LMArena WebDev18071435Claude Opus 5.5
LiveCodeBench (Vals AI)Not measured81.9%Only GLM 5 measured
SWE-bench Verified (Vals AI)Not measured71.4%Only GLM 5 measured
Terminal-Bench 4 (Vals AI)65.2%Not measuredOnly Claude Opus 5.5 measured
Vibe Code Bench (Vals AI)90.3%23.4%Claude Opus 5.5
Code migration (Vals AI)66.7%Not measuredOnly Claude Opus 5.5 measured
ProgramBench (Vals AI)18.5%Not measuredOnly Claude Opus 5.5 measured
IOI (Vals AI)95.1%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench 2.1 (Vals AI)87.6%Not measuredOnly Claude Opus 5.5 measured
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%Not measuredOnly Claude Opus 5.5 measured
Terminal-Bench Hard (Artificial Analysis run)Not measured43.2%Only GLM 5 measured
Terminal-BenchNot measured52.4%Only GLM 5 measured
FrontierCode54.6%Not measuredOnly Claude Opus 5.5 measured
FrontierSWE62.3%Not measuredOnly Claude Opus 5.5 measured
WeirdMLNot measured48.2%Only GLM 5 measured
MirrorCode77.4%Not measuredOnly Claude Opus 5.5 measured
ALE-Bench2147.4765.6Claude Opus 5.5
LMArena Text: coding15451461Claude Opus 5.5
LMArena Text: software and IT15381460Claude Opus 5.5
LMArena WebDev: React18551424Claude Opus 5.5
LMArena WebDev: HTML17531450Claude Opus 5.5
LMArena WebDev: from an image1753Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 10 boards here
IntelligenceLike-for-likePublic boards, shown as published, kept out of the index20
Intelligence benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
AA Intelligence Index57.627.9Claude Opus 5.5
Epoch Capabilities Index168.8145.8Claude Opus 5.5
Agentic workLike-for-likePublic boards, shown as published, kept out of the index20
Agentic work benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
Design Arena: agents building web apps1316Not measuredOnly Claude Opus 5.5 measured
Design Arena: agents building full-stack appsNot measured1123Only GLM 5 measured
Design Arena: agents building mobile apps13111136Claude Opus 5.5
Design Arena: agents building Android appsNot measured1152Only GLM 5 measured
Design Arena: agents building Godot gamesNot measured1144Only GLM 5 measured
Design Arena: HTML slidesNot measured1148Only GLM 5 measured
Design Arena: spreadsheets1359Not measuredOnly Claude Opus 5.5 measured
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%Not measuredOnly Claude Opus 5.5 measured
Tax Agent Bench (Vals AI)45.6%Not measuredOnly Claude Opus 5.5 measured
Legal Research Bench (Vals AI)50.5%Not measuredOnly Claude Opus 5.5 measured
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 measured98.2%Only GLM 5 measured
APEX-Agents73.5%Not measuredOnly Claude Opus 5.5 measured
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$4,432Claude Opus 5.5
LMArena Search1213Not measuredOnly Claude Opus 5.5 measured
Neither model has a result on the other 11 boards here
ReasoningLike-for-likePublic boards, shown as published, kept out of the index70
Reasoning benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
GPQA DiamondNot measured83.3%Only GLM 5 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 measured82.0%Only GLM 5 measured
Humanity's Last Exam (Artificial Analysis run)61.4%29.3%Claude Opus 5.5
GPQA Diamond (Epoch AI run)90.6%87.8%Claude Opus 5.5
ARC-AGI98.5%44.7%Claude Opus 5.5
ARC-AGI-293.3%4.9%Claude Opus 5.5
SimpleBenchNot measured53.2%Only GLM 5 measured
Chess puzzles67.0%Not measuredOnly Claude Opus 5.5 measured
Mystery game puzzles71.0%Not measuredOnly Claude Opus 5.5 measured
EBR-bench71.4%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: hard prompts15361452Claude Opus 5.5
LMArena Text: expert15491454Claude Opus 5.5
LMArena Text: hard prompts in English15351460Claude 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 4 boards here
MathLike-for-likePublic boards, shown as published, kept out of the index30
Math benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
AIMENot measured91.7%Only GLM 5 measured
OTIS Mock AIME100.0%80.0%Claude Opus 5.5
FrontierMath, tiers 1 to 391.2%Not measuredOnly Claude Opus 5.5 measured
FrontierMath, tier 495.0%Not measuredOnly Claude Opus 5.5 measured
ProofBench100.0%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: math15181440Claude Opus 5.5
LMArena Text: mathematical work15161451Claude 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 index40
Knowledge benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
MMLU ProNot measured86.0%Only GLM 5 measured
LegalBench (Vals AI)Not measured84.1%Only GLM 5 measured
CaseLaw (Vals AI)Not measured52.5%Only GLM 5 measured
CorpFin (Vals AI)Not measured62.9%Only GLM 5 measured
TaxEval (Vals AI)Not measured70.0%Only GLM 5 measured
MedQA (Vals AI)Not measured94.3%Only GLM 5 measured
MedCode (Vals AI)49.8%Not measuredOnly Claude Opus 5.5 measured
SimpleQA Verified72.2%Not measuredOnly Claude Opus 5.5 measured
LMArena Text: science15241460Claude Opus 5.5
LMArena Text: medicine and healthcare15091455Claude Opus 5.5
LMArena Text: legal and government15181453Claude Opus 5.5
LMArena Text: business and finance14941430Claude Opus 5.5
Neither model has a result on the other 5 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
BenchmarkClaude Opus 5.5GLM 5Leader
Design Arena: websites13351247Claude Opus 5.5
Design Arena: UI components13901230Claude Opus 5.5
Design Arena: game dev14571234Claude Opus 5.5
Design Arena: data viz13971228Claude Opus 5.5
Design Arena: 3D14771229Claude Opus 5.5
Design Arena: all code categories13901246Claude Opus 5.5
Design Arena: SVG13321168Claude Opus 5.5
Design Arena: ASCII artNot measured1146Only GLM 5 measured
LiveBench design86.9%Not measuredOnly Claude Opus 5.5 measured
GeneralLike-for-likePublic boards, shown as published, kept out of the index150
General benchmarks for Claude Opus 5.5 and GLM 5
BenchmarkClaude Opus 5.5GLM 5Leader
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%Not measuredOnly Claude Opus 5.5 measured
SAGE (Vals AI)45.8%Not measuredOnly Claude Opus 5.5 measured
MedScribe (Vals AI)91.4%Not measuredOnly Claude Opus 5.5 measured
IFBenchNot measured72.3%Only GLM 5 measured
Long context reasoning (AA-LCR)84.7%75.7%Claude Opus 5.5
DTBench98.9%Not measuredOnly Claude Opus 5.5 measured
LMCA68.2%Not measuredOnly Claude Opus 5.5 measured
CL-benchNot measured18.7%Only GLM 5 measured
Furniture assembly83.3%Not measuredOnly Claude Opus 5.5 measured
LMArena Text15161446Claude Opus 5.5
LMArena Text: instruction following15371428Claude Opus 5.5
LMArena Text: creative writing15351438Claude Opus 5.5
LMArena Vision1321Not measuredOnly Claude Opus 5.5 measured
LMArena Text: English15191458Claude Opus 5.5
LMArena Text: non-English15071430Claude Opus 5.5
LMArena Text: Chinese15821511Claude Opus 5.5
LMArena Text: GermanNot measured1447Only GLM 5 measured
LMArena Text: Japanese15341416Claude Opus 5.5
LMArena Text: KoreanNot measured1423Only GLM 5 measured
LMArena Text: French14931456Claude Opus 5.5
LMArena Text: Spanish15081454Claude Opus 5.5
LMArena Text: Russian15171436Claude Opus 5.5
LMArena Text: PolishNot measured1434Only GLM 5 measured
LMArena Text: multi-turn15011456Claude Opus 5.5
LMArena Text: longer queries15321446Claude Opus 5.5
LMArena Text: writing and language15321437Claude Opus 5.5
LMArena Text: entertainment and media15151426Claude 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
BenchmarkClaude Opus 5.5GLM 5Leader
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$0.0026Fits in one request

GLM 5 costs less

Repository review

50K input + 3K output tokens

Claude Opus 5.5$0.260Fits in one request
GLM 5$0.060Fits in one request

GLM 5 costs less

Agent loop

200K input + 10K output tokens

Claude Opus 5.5$1.00Fits in one request
GLM 5$0.232Exceeds the context window

GLM 5 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
SpecificationAnthropic Claude Opus 5.5Z.ai GLM 5
MakerAnthropicZ.ai
WeightsNo public weights listedOpen weights
ReleasedSeptember 22, 2026February 11, 2026
Context window1M205K
Input $/Mtok$4.00$1.00
Output $/Mtok$20.00$3.20
Coding index92.259.7
Independent measurements behind it22
Cost per solved taskNot computable$0.63
SourceOpenRouter listingOpenRouter listing

Questions

Is Claude Opus 5.5 better than GLM 5 for coding?

Pick Claude Opus 5.5 for coding: it scores 92.2 on the Vibe Coding Index against 59.7 for GLM 5. Pick GLM 5 when output tokens cost 6.3x less.

Which is cheaper, Claude Opus 5.5 or GLM 5?

Claude Opus 5.5 costs $4.00 per million input tokens and $20.00 per million output tokens; GLM 5 costs $1.00 and $3.20. Cost per solved task is known for GLM 5 only.

Which has the bigger context window, Claude Opus 5.5 or GLM 5?

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

How many benchmarks is the Claude Opus 5.5 vs GLM 5 comparison based on?

47 benchmarks have a result for both models as of October 21, 2026. Claude Opus 5.5's coding index rests on 2 independent benchmarks and GLM 5's on 2. Where only one model has a result, the page says so instead of naming a winner.

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