Model comparison

Claude Sonnet 5.5 vs GLM-4.7-Flash

Claude Sonnet 5.5 is the stronger model overall, scoring 61.9 to 38.8 on the Noometry Index. GLM-4.7-Flash costs 28× less per token, which makes it the better buy when Claude Sonnet 5.5's lead doesn't matter for your workload.

Last verified October 11, 2026. 14 shared benchmarks.

Claude Sonnet 5.5 Anthropic

61.9

Rank #10 Confirmed

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Summary

They share 14 benchmarks with published results for both. Claude Sonnet 5.5 scores higher in 8 categories and GLM-4.7-Flash in 0 categories; 8 gaps are clear of the uncertainty.
The widest gap is in math, where Claude Sonnet 5.5 leads 87.9 to 36.1.
The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 100% for Claude Sonnet 5.5 and 58.3% for GLM-4.7-Flash.
GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $10 for Claude Sonnet 5.5.
Claude Sonnet 5.5 accepts more context: 1M tokens versus 200K.
GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

Claude Sonnet 5.5 and GLM-4.7-Flash specifications
	Claude Sonnet 5.5	GLM-4.7-Flash
Provider	Anthropic	Z.ai (Zhipu)
Noometry Index	61.9	38.8
Released	2026-09-28	2026-01-19
Weights	Proprietary	Open
Context window	1M	200K
Max output	128K	131K
Input $ / M tokens	$2	$0.06
Output $ / M tokens	$10	$0.40
Results tracked	32	21

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Category by category

Coding Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 67.3 (#6), GLM-4.7-Flash: 40.6 (#135)

Coding benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Coding	1513	1383
FrontierCode	52.1%	—
CursorBench	55.5%	—
LMArena WebDev	1774	—
FrontierSWE	61.9%	—
SciCode	61%	—
ALE-Bench	1,819	—

Agentic & Tool Use Not comparable

Claude Sonnet 5.5: 45.0 (#16), GLM-4.7-Flash: —

Agentic & Tool Use benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
APEX-Agents	75.5%	—

Reasoning Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 54.0 (#28), GLM-4.7-Flash: 20.9 (#229)

Reasoning benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Hard Prompts	1495	1356
NYT Connections (extended)	80.5%	—
CritPt	31.4%	—
Chess Puzzles	—	0%
Mystery Game Puzzles	65%	—
Epoch Capabilities Index	165.03	—

Math Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 87.9 (#6), GLM-4.7-Flash: 36.1 (#173)

Math benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
OTIS Mock AIME 2024-2025	100%	58.3%
LMArena Math	1510	1355
FrontierMath (Tiers 1-3)	88.8%	—
FrontierMath Tier 4	80.5%	—
ProofBench	100%	—
FrontierMath Erdős	2.9%	—

Knowledge Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#12), GLM-4.7-Flash: 35.5 (#184)

Knowledge benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
GPQA Diamond	95.6%	60.5%
LMArena Expert	1540	1357
SimpleQA Verified	46.5%	—
Vectara Hallucination Rate	—	9.3%

Multimodal Not comparable

Claude Sonnet 5.5: 51.5 (#6), GLM-4.7-Flash: —

Multimodal benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Vision	1289	—
Furniture Assembly	75%	—

Multilingual Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 55.3 (#30), GLM-4.7-Flash: 46.5 (#158)

Multilingual benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Non-English	1452	1330
LMArena Chinese	1522	1403
LMArena Russian	1451	1332
LMArena French	—	1332
LMArena German	—	1337
LMArena Korean	—	1283
LMArena Spanish	—	1350

Instruction Following Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 78.3 (#11), GLM-4.7-Flash: 70.1 (#167)

Instruction Following benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Instruction Following	1495	1327

Long Context Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 45.9 (#28), GLM-4.7-Flash: 40.9 (#148)

Long Context benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Longer Query	1498	1345

Writing & Preference Claude Sonnet 5.5 leads

Claude Sonnet 5.5: 66.0 (#40), GLM-4.7-Flash: 47.4 (#210)

Writing & Preference benchmarks
Benchmark	Claude Sonnet 5.5	GLM-4.7-Flash
LMArena Text	1471	1351
LMArena Creative Writing	1465	1297
LMArena Multi-Turn	1474	1342
EQ-Bench Creative Writing	—	1125

Frequently asked questions

Is Claude Sonnet 5.5 better than GLM-4.7-Flash?

Which is cheaper, Claude Sonnet 5.5 or GLM-4.7-Flash?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Claude Sonnet 5.5 lists at $2 and $10.

Is Claude Sonnet 5.5 or GLM-4.7-Flash better for coding?

Claude Sonnet 5.5 scores higher on coding benchmarks: 67.3 versus 40.6 in the Noometry coding category.

Which has the bigger context window?

Claude Sonnet 5.5 does, with 1M tokens against 200K.

How many benchmarks do Claude Sonnet 5.5 and GLM-4.7-Flash share?

14 benchmarks have published results for both models. Claude Sonnet 5.5 has 32 scored results on Noometry and GLM-4.7-Flash has 21.