Model comparison

GLM-4.5 vs Mercury 2.5

GLM-4.5 is the stronger model overall, scoring 42.0 to 33.5 on the Noometry Index. Mercury 2.5 costs 15× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Last verified . 1 shared benchmarks.

GLM-4.5 Z.ai (Zhipu)

42.0

Rank #122 Confirmed

Mercury 2.5 Inception

33.5

Rank #242 Reported

Summary

  • They share 1 benchmark with published results for both. GLM-4.5 scores higher in 3 categories and Mercury 2.5 in 0 categories; 3 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.5 leads 39.0 to 23.3.
  • Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $0.60 / $2.20 for GLM-4.5.
  • Mercury 2.5 accepts more context: 260K tokens versus 131K.
  • GLM-4.5 has downloadable open weights; the other is API-only.

Side by side

GLM-4.5 and Mercury 2.5 specifications
GLM-4.5Mercury 2.5
ProviderZ.ai (Zhipu)Inception
Noometry Index42.033.5
Released2025-07-272026-09-08
WeightsOpenProprietary
Context window131K260K
Max output98K66K
Input $ / M tokens$0.60$0.04
Output $ / M tokens$2.20$0.15
Results tracked274

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Category by category

Coding GLM-4.5 leads

GLM-4.5: 41.4 (#125), Mercury 2.5: 39.5 (#156)

Coding benchmarks
BenchmarkGLM-4.5Mercury 2.5
ALE-Bench344.82301.65
SWE-bench Verified (bash only)54.2%—
SciCode—38.5%
WeirdML40.6%—
LMArena Coding1434—
AlgoTune1.52—

Reasoning GLM-4.5 leads

GLM-4.5: 28.6 (#100), Mercury 2.5: 22.4 (#193)

Reasoning benchmarks
BenchmarkGLM-4.5Mercury 2.5
Kagi LLM Benchmark57.9%—
CritPt—0%
LMArena Hard Prompts1429—

Math GLM-4.5 leads

GLM-4.5: 39.0 (#116), Mercury 2.5: 23.3 (#272)

Math benchmarks
BenchmarkGLM-4.5Mercury 2.5
ProofBench—3%
LMArena Math1427—

Knowledge Not comparable

GLM-4.5: 35.9 (#179), Mercury 2.5: —

Knowledge benchmarks
BenchmarkGLM-4.5Mercury 2.5
Humanity's Last Exam8.3%—
Confabulations11.3%—
LMArena Expert1433—

Multilingual Not comparable

GLM-4.5: 52.8 (#77), Mercury 2.5: —

Multilingual benchmarks
BenchmarkGLM-4.5Mercury 2.5
LMArena Non-English1417—
LMArena Chinese1465—
LMArena French1418—
LMArena German1407—
LMArena Japanese1415—
LMArena Korean1380—
LMArena Russian1414—
LMArena Spanish1454—

Instruction Following Not comparable

GLM-4.5: 74.1 (#104), Mercury 2.5: —

Instruction Following benchmarks
BenchmarkGLM-4.5Mercury 2.5
LMArena Instruction Following1404—

Long Context Not comparable

GLM-4.5: 38.2 (#201), Mercury 2.5: —

Long Context benchmarks
BenchmarkGLM-4.5Mercury 2.5
Fiction.LiveBench58.3%—
LMArena Longer Query1412—

Writing & Preference Not comparable

GLM-4.5: 57.5 (#127), Mercury 2.5: —

Writing & Preference benchmarks
BenchmarkGLM-4.5Mercury 2.5
LMArena Text1430—
LMArena Creative Writing1395—
Short-Story Creative Writing73.4%—
EQ-Bench Creative Writing1343—
LMArena Multi-Turn1415—

Frequently asked questions

Is GLM-4.5 better than Mercury 2.5?

GLM-4.5 is the stronger model overall, scoring 42.0 to 33.5 on the Noometry Index. Mercury 2.5 costs 15× less per token, which makes it the better buy when GLM-4.5's lead doesn't matter for your workload.

Which is cheaper, GLM-4.5 or Mercury 2.5?

Mercury 2.5 is cheaper. It lists at $0.04 per million input tokens and $0.15 per million output tokens; GLM-4.5 lists at $0.60 and $2.20.

Is GLM-4.5 or Mercury 2.5 better for coding?

GLM-4.5 scores higher on coding benchmarks: 41.4 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Mercury 2.5 does, with 260K tokens against 131K.

How many benchmarks do GLM-4.5 and Mercury 2.5 share?

1 benchmark has published results for both models. GLM-4.5 has 27 scored results on Noometry and Mercury 2.5 has 4.

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