Model comparison

GLM-4.7-Flash vs Solar Pro4

Solar Pro4 is the stronger model overall, scoring 41.5 to 38.4 on the Noometry Index. GLM-4.7-Flash costs 3.6× less per token, which makes it the better buy when Solar Pro4's lead doesn't matter for your workload.

Last verified October 10, 2026. 16 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 Confirmed

Solar Pro4

Upstage

41.5

Rank #123 Confirmed

Summary

They share 16 benchmarks with published results for both. GLM-4.7-Flash scores higher in 1 category and Solar Pro4 in 7 categories; 7 gaps are clear of the uncertainty.
The widest gap is in writing & preference, where Solar Pro4 leads 56.7 to 47.7.
GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.30 / $1.20 for Solar Pro4.
Solar Pro4 accepts more context: 524K tokens versus 200K.
GLM-4.7-Flash has downloadable open weights; the other is API-only.

Side by side

GLM-4.7-Flash and Solar Pro4 specifications
	GLM-4.7-Flash	Solar Pro4
Provider	Z.ai (Zhipu)	Upstage
Noometry Index	38.4	41.5
Released	2026-01-19	2026-08-06
Weights	Open	Proprietary
Context window	200K	524K
Max output	131K	131K
Input $ / M tokens	$0.06	$0.30
Output $ / M tokens	$0.40	$1.20
Results tracked	21	18

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Category by category

Coding Too close to call

GLM-4.7-Flash: 40.0 (#133), Solar Pro4: 39.9 (#135)

Coding benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Coding	1383	1439
LMArena WebDev	—	1371

Reasoning Solar Pro4 leads

GLM-4.7-Flash: 20.2 (#224), Solar Pro4: 27.3 (#107)

Reasoning benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Hard Prompts	1356	1398
Chess Puzzles	0%	—

Math Solar Pro4 leads

GLM-4.7-Flash: 34.4 (#159), Solar Pro4: 36.1 (#129)

Math benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Math	1354	1418
OTIS Mock AIME 2024-2025	58.3%	—

Knowledge Solar Pro4 leads

GLM-4.7-Flash: 35.4 (#177), Solar Pro4: 39.0 (#128)

Knowledge benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Expert	1357	1421
GPQA Diamond	60.5%	—
Vectara Hallucination Rate	9.3%	—

Multilingual Solar Pro4 leads

GLM-4.7-Flash: 46.8 (#152), Solar Pro4: 49.0 (#134)

Multilingual benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Non-English	1331	1362
LMArena Chinese	1403	1417
LMArena French	1332	1403
LMArena German	1336	1351
LMArena Korean	1284	1383
LMArena Russian	1333	1360
LMArena Spanish	1351	1408
LMArena Japanese	—	1300

Instruction Following Solar Pro4 leads

GLM-4.7-Flash: 70.3 (#162), Solar Pro4: 72.8 (#128)

Instruction Following benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Instruction Following	1327	1376

Long Context Solar Pro4 leads

GLM-4.7-Flash: 40.9 (#143), Solar Pro4: 42.0 (#125)

Long Context benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Longer Query	1345	1379

Writing & Preference Solar Pro4 leads

GLM-4.7-Flash: 47.7 (#206), Solar Pro4: 56.7 (#133)

Writing & Preference benchmarks
Benchmark	GLM-4.7-Flash	Solar Pro4
LMArena Text	1351	1386
LMArena Creative Writing	1297	1313
LMArena Multi-Turn	1342	1391
EQ-Bench Creative Writing	1125	—

Frequently asked questions

Is GLM-4.7-Flash better than Solar Pro4?

Which is cheaper, GLM-4.7-Flash or Solar Pro4?

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Solar Pro4 lists at $0.30 and $1.20.

Is GLM-4.7-Flash or Solar Pro4 better for coding?

They score almost the same on coding (40.0 vs 39.9); test both on your own repository before choosing.

Which has the bigger context window?

Solar Pro4 does, with 524K tokens against 200K.

How many benchmarks do GLM-4.7-Flash and Solar Pro4 share?

16 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Solar Pro4 has 18.