Noometry

Model comparison

GLM-4.6 vs Mistral 7B

GLM-4.6 is the stronger model overall, scoring 41.4 to 23.0 on the Noometry Index. Mistral 7B costs 4.0× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Last verified . 16 shared benchmarks.

GLM-4.6 Z.ai (Zhipu)

41.4

Rank #135 Confirmed

Mistral 7B Mistral AI

23.0

Rank #351 Confirmed

Summary

  • They share 16 benchmarks with published results for both. GLM-4.6 scores higher in 8 categories and Mistral 7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-4.6 leads 40.2 to 7.4.
  • Mistral 7B is cheaper at $0.25 / $0.25 per million input/output tokens, against $0.60 / $2.20 for GLM-4.6.
  • GLM-4.6 accepts more context: 205K tokens versus 8K.

Side by side

GLM-4.6Mistral 7B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index41.423.0
Released2025-09-302023-09-27
WeightsOpenOpen
Context window205K8K
Max output131K8K
Input $ / M tokens$0.60$0.25
Output $ / M tokens$2.20$0.25
Results tracked2937

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Category by category

Coding GLM-4.6 leads

GLM-4.6: 40.1 (#148), Mistral 7B: 26.4 (#326)

BenchmarkGLM-4.6Mistral 7B
LMArena Coding14491082
SWE-bench Verified (bash only)55.4%—
LMArena WebDev1340—
SciCode38.4%—
BigCodeBench Instruct—19.5%
BigCodeBench Complete—27.3%
ALE-Bench340.82—
HumanEval+—36%
MBPP+—42.1%

Agentic & Tool Use Not comparable

GLM-4.6: 32.3 (#66), Mistral 7B: —

BenchmarkGLM-4.6Mistral 7B
Terminal-Bench24.5%—
Berkeley Function Calling Leaderboard72.4%—

Reasoning GLM-4.6 leads

GLM-4.6: 23.7 (#172), Mistral 7B: 13.1 (#336)

BenchmarkGLM-4.6Mistral 7B
LMArena Hard Prompts14401067
Kagi LLM Benchmark47.4%—
CritPt1.1%—
Chess Puzzles—0%
DTBench—42.5%
Adversarial NLI—47.1%
BIG-Bench Hard—56.1%
Epoch Capabilities Index—112.21
HellaSwag—81%
PIQA—83%
WinoGrande—75.3%

Math GLM-4.6 leads

GLM-4.6: 39.1 (#111), Mistral 7B: 8.1 (#325)

BenchmarkGLM-4.6Mistral 7B
LMArena Math14321085
OTIS Mock AIME 2024-2025—0.3%
MATH Level 5—3.7%
FrontierMath (Feb 2025 set)3.8%—
FrontierMath Tier 4 (v1)2.1%—
GSM8K—54.4%

Knowledge GLM-4.6 leads

GLM-4.6: 40.2 (#124), Mistral 7B: 7.4 (#311)

BenchmarkGLM-4.6Mistral 7B
LMArena Expert14311036
GPQA Diamond—15.2%
Vectara Hallucination Rate9.5%—
ARC (AI2) Challenge—78.6%
BoolQ—87.4%
MMLU—62.5%
OpenBookQA—79.8%
TriviaQA—75.2%

Multilingual GLM-4.6 leads

GLM-4.6: 53.5 (#66), Mistral 7B: 25.8 (#283)

BenchmarkGLM-4.6Mistral 7B
LMArena Non-English14261012
LMArena Chinese14991009
LMArena French14591037
LMArena German1447987
LMArena Japanese1393878
LMArena Russian14191018
LMArena Spanish14361026
LMArena Korean1400—

Instruction Following GLM-4.6 leads

GLM-4.6: 74.3 (#98), Mistral 7B: 54.2 (#280)

BenchmarkGLM-4.6Mistral 7B
LMArena Instruction Following14101060

Long Context GLM-4.6 leads

GLM-4.6: 43.4 (#94), Mistral 7B: 32.2 (#271)

BenchmarkGLM-4.6Mistral 7B
LMArena Longer Query14221060

Writing & Preference GLM-4.6 leads

GLM-4.6: 61.1 (#90), Mistral 7B: 30.7 (#286)

BenchmarkGLM-4.6Mistral 7B
LMArena Text14401090
LMArena Creative Writing14111068
LMArena Multi-Turn14271062
EQ-Bench Creative Writing1411—

Frequently asked questions

Is GLM-4.6 better than Mistral 7B?

GLM-4.6 is the stronger model overall, scoring 41.4 to 23.0 on the Noometry Index. Mistral 7B costs 4.0× less per token, which makes it the better buy when GLM-4.6's lead doesn't matter for your workload.

Which is cheaper, GLM-4.6 or Mistral 7B?

Mistral 7B is cheaper. It lists at $0.25 per million input tokens and $0.25 per million output tokens; GLM-4.6 lists at $0.60 and $2.20.

Is GLM-4.6 or Mistral 7B better for coding?

GLM-4.6 scores higher on coding benchmarks: 40.1 versus 26.4 in the Noometry coding category.

Which has the bigger context window?

GLM-4.6 does, with 205K tokens against 8K.

How many benchmarks do GLM-4.6 and Mistral 7B share?

16 benchmarks have published results for both models. GLM-4.6 has 29 scored results on Noometry and Mistral 7B has 37.

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