Model comparison

GLM-5.1 vs Mercury 2.5

GLM-5.1 is the stronger model overall, scoring 47.8 to 33.5 on the Noometry Index. Mercury 2.5 costs 32× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Last verified . 4 shared benchmarks.

GLM-5.1 Z.ai (Zhipu)

47.8

Rank #59 Confirmed

Mercury 2.5 Inception

33.5

Rank #242 Reported

Summary

  • They share 4 benchmarks with published results for both. GLM-5.1 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-5.1 leads 49.7 to 23.3.
  • The biggest single-benchmark swing is ProofBench: 22.2% for GLM-5.1 and 3% for Mercury 2.5.
  • Mercury 2.5 is cheaper at $0.04 / $0.15 per million input/output tokens, against $1.40 / $4.40 for GLM-5.1.
  • Mercury 2.5 accepts more context: 260K tokens versus 200K.
  • GLM-5.1 has downloadable open weights; the other is API-only.

Side by side

GLM-5.1 and Mercury 2.5 specifications
GLM-5.1Mercury 2.5
ProviderZ.ai (Zhipu)Inception
Noometry Index47.833.5
Released2026-04-072026-09-08
WeightsOpenProprietary
Context window200K260K
Max output131K66K
Input $ / M tokens$1.40$0.04
Output $ / M tokens$4.40$0.15
Results tracked414

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Category by category

Coding GLM-5.1 leads

GLM-5.1: 48.7 (#55), Mercury 2.5: 39.5 (#156)

Coding benchmarks
BenchmarkGLM-5.1Mercury 2.5
SciCode43.8%38.5%
ALE-Bench887.1301.65
SWE-bench Verified74.2%—
LMArena WebDev1508—
WeirdML57.1%—
LMArena Coding1485—

Agentic & Tool Use Not comparable

GLM-5.1: 24.9 (#113), Mercury 2.5: —

Agentic & Tool Use benchmarks
BenchmarkGLM-5.1Mercury 2.5
APEX-Agents40.9%—
ExploitBench18.1%—
GBAEval0%—
Vending-Bench 25,634—

Reasoning GLM-5.1 leads

GLM-5.1: 39.1 (#60), Mercury 2.5: 22.4 (#193)

Reasoning benchmarks
BenchmarkGLM-5.1Mercury 2.5
CritPt4.6%0%
SimpleBench55.1%—
NYT Connections (extended)77.7%—
Chess Puzzles19%—
Thematic Generalization69.8%—
LMArena Hard Prompts1472—
Epoch Capabilities Index149.84—

Math GLM-5.1 leads

GLM-5.1: 49.7 (#60), Mercury 2.5: 23.3 (#272)

Knowledge Not comparable

GLM-5.1: 54.9 (#50), Mercury 2.5: —

Knowledge benchmarks
BenchmarkGLM-5.1Mercury 2.5
GPQA Diamond89.9%—
SimpleQA Verified34%—
LMArena Expert1476—

Multilingual Not comparable

GLM-5.1: 55.0 (#36), Mercury 2.5: —

Multilingual benchmarks
BenchmarkGLM-5.1Mercury 2.5
LMArena Non-English1447—
LMArena Chinese1515—
LMArena French1474—
LMArena German1465—
LMArena Japanese1434—
LMArena Korean1418—
LMArena Russian1454—
LMArena Spanish1469—

Instruction Following Not comparable

GLM-5.1: 76.3 (#42), Mercury 2.5: —

Instruction Following benchmarks
BenchmarkGLM-5.1Mercury 2.5
LMArena Instruction Following1451—

Long Context Not comparable

GLM-5.1: 44.9 (#53), Mercury 2.5: —

Long Context benchmarks
BenchmarkGLM-5.1Mercury 2.5
LMArena Longer Query1466—

Writing & Preference Not comparable

GLM-5.1: 66.9 (#31), Mercury 2.5: —

Writing & Preference benchmarks
BenchmarkGLM-5.1Mercury 2.5
LMArena Text1461—
LMArena Creative Writing1453—
EQ-Bench Creative Writing1592—
LMArena Multi-Turn1472—

Frequently asked questions

Is GLM-5.1 better than Mercury 2.5?

GLM-5.1 is the stronger model overall, scoring 47.8 to 33.5 on the Noometry Index. Mercury 2.5 costs 32× less per token, which makes it the better buy when GLM-5.1's lead doesn't matter for your workload.

Which is cheaper, GLM-5.1 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-5.1 lists at $1.40 and $4.40.

Is GLM-5.1 or Mercury 2.5 better for coding?

GLM-5.1 scores higher on coding benchmarks: 48.7 versus 39.5 in the Noometry coding category.

Which has the bigger context window?

Mercury 2.5 does, with 260K tokens against 200K.

How many benchmarks do GLM-5.1 and Mercury 2.5 share?

4 benchmarks have published results for both models. GLM-5.1 has 41 scored results on Noometry and Mercury 2.5 has 4.

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