Model comparison

Claude Opus 4.1 vs GLM-4.6

Claude Opus 4.1 and GLM-4.6 score almost the same on the Noometry Index (41.0 vs 41.4), so choose on price, context window or the category you care about most.

Last verified . 23 shared benchmarks.

Claude Opus 4.1 Anthropic

41.0

Rank #142 Confirmed

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Summary

  • They share 23 benchmarks with published results for both. Claude Opus 4.1 scores higher in 7 categories and GLM-4.6 in 2 categories; 9 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.6 leads 39.1 to 22.3.
  • The biggest single-benchmark swing is Terminal-Bench: 38% for Claude Opus 4.1 and 24.5% for GLM-4.6.
  • GLM-4.6 is cheaper at $0.60 / $2.20 per million input/output tokens, against $15 / $75 for Claude Opus 4.1.
  • GLM-4.6 accepts more context: 205K tokens versus 200K.
  • GLM-4.6 has downloadable open weights; the other is API-only.

Side by side

Claude Opus 4.1 and GLM-4.6 specifications
Claude Opus 4.1GLM-4.6
ProviderAnthropicZ.ai (Zhipu)
Noometry Index41.041.4
Released2025-08-052025-09-30
WeightsProprietaryOpen
Context window200K205K
Max output32K131K
Input $ / M tokens$15$0.60
Output $ / M tokens$75$2.20
Results tracked4829

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Category by category

Coding Claude Opus 4.1 leads

Claude Opus 4.1: 44.4 (#73), GLM-4.6: 40.1 (#148)

Coding benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena WebDev13901340
LMArena Coding14791449
ALE-Bench674.77340.82
SWE-bench Verified73.3%—
SWE-bench Verified (bash only)—55.4%
SciCode—38.4%
WeirdML45.9%—
AlgoTune1.34—

Agentic & Tool Use Claude Opus 4.1 leads

Claude Opus 4.1: 35.0 (#41), GLM-4.6: 32.3 (#66)

Agentic & Tool Use benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
Terminal-Bench38%24.5%
Berkeley Function Calling Leaderboard—72.4%
GDPval43.6%—
Cybench42%—
DeepResearch Bench48.3%—
LMArena Search1148—
METR Time Horizons66.8%—

Reasoning Claude Opus 4.1 leads

Claude Opus 4.1: 32.2 (#76), GLM-4.6: 23.7 (#172)

Reasoning benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Hard Prompts14431440
SimpleBench60%—
Kagi LLM Benchmark—47.4%
CritPt—1.1%
Chess Puzzles7%—
EnigmaEval7.2%—
EBR-Bench7.9%—
Mystery Game Puzzles21%—
DTBench80%—
LMCA37.1%—
Epoch Capabilities Index144.12—
ForecastBench62—

Math GLM-4.6 leads

Claude Opus 4.1: 22.3 (#277), GLM-4.6: 39.1 (#111)

Math benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Math14311432
FrontierMath (Feb 2025 set)7.2%3.8%
FrontierMath Tier 4 (v1)4.2%2.1%
FrontierMath (Tiers 1-3)12.6%—
FrontierMath Tier 42.4%—
OTIS Mock AIME 2024-202568.9%—

Knowledge Claude Opus 4.1 leads

Claude Opus 4.1: 42.0 (#101), GLM-4.6: 40.2 (#124)

Knowledge benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
Vectara Hallucination Rate11.8%9.5%
LMArena Expert14391431
GPQA Diamond77.3%—
Humanity's Last Exam11.5%—
Confabulations17.1%—

Multimodal Not comparable

Claude Opus 4.1: 26.8 (#119), GLM-4.6: —

Multimodal benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
VPCT35%—

Multilingual GLM-4.6 leads

Claude Opus 4.1: 52.0 (#95), GLM-4.6: 53.5 (#66)

Multilingual benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Non-English14051426
LMArena Chinese14271499
LMArena French14311459
LMArena German14131447
LMArena Japanese13781393
LMArena Korean13801400
LMArena Russian14221419
LMArena Spanish14481436

Instruction Following Claude Opus 4.1 leads

Claude Opus 4.1: 75.6 (#58), GLM-4.6: 74.3 (#98)

Instruction Following benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Instruction Following14351410

Long Context Claude Opus 4.1 leads

Claude Opus 4.1: 44.5 (#63), GLM-4.6: 43.4 (#94)

Long Context benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Longer Query14551422

Writing & Preference Claude Opus 4.1 leads

Claude Opus 4.1: 62.4 (#74), GLM-4.6: 61.1 (#90)

Writing & Preference benchmarks
BenchmarkClaude Opus 4.1GLM-4.6
LMArena Text14191440
LMArena Creative Writing14121411
LMArena Multi-Turn14441427
Short-Story Creative Writing84.7%—
EQ-Bench Creative Writing—1411

Frequently asked questions

Is Claude Opus 4.1 better than GLM-4.6?

Claude Opus 4.1 and GLM-4.6 score almost the same on the Noometry Index (41.0 vs 41.4), so choose on price, context window or the category you care about most.

Which is cheaper, Claude Opus 4.1 or GLM-4.6?

GLM-4.6 is cheaper. It lists at $0.60 per million input tokens and $2.20 per million output tokens; Claude Opus 4.1 lists at $15 and $75.

Is Claude Opus 4.1 or GLM-4.6 better for coding?

Claude Opus 4.1 scores higher on coding benchmarks: 44.4 versus 40.1 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 200K.

How many benchmarks do Claude Opus 4.1 and GLM-4.6 share?

23 benchmarks have published results for both models. Claude Opus 4.1 has 48 scored results on Noometry and GLM-4.6 has 29.

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