Noometry

Model comparison

GLM-4.7-Flash vs Mistral Small 3

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 2.5× less per token, which makes it the better buy when GLM-4.7-Flash's lead doesn't matter for your workload.

Last verified . 19 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Mistral Small 3 Mistral AI

31.2

Rank #278 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and Mistral Small 3 in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 16.3.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 6.7% for Mistral Small 3.
  • Mistral Small 3 is cheaper at $0.05 / $0.08 per million input/output tokens, against $0.06 / $0.40 for GLM-4.7-Flash.
  • GLM-4.7-Flash accepts more context: 200K tokens versus 33K.

Side by side

GLM-4.7-FlashMistral Small 3
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.831.2
Released2026-01-192025-01-30
WeightsOpenOpen
Context window200K33K
Max output131K16K
Input $ / M tokens$0.06$0.05
Output $ / M tokens$0.40$0.08
Results tracked2124

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Mistral Small 3: 36.5 (#207)

BenchmarkGLM-4.7-FlashMistral Small 3
LMArena Coding13831246
BigCodeBench Instruct—45.3%
BigCodeBench Complete—50.4%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), Mistral Small 3: 18.9 (#273)

BenchmarkGLM-4.7-FlashMistral Small 3
Chess Puzzles0%0%
LMArena Hard Prompts13561233
Epoch Capabilities Index—127.07

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Mistral Small 3: 16.3 (#295)

BenchmarkGLM-4.7-FlashMistral Small 3
OTIS Mock AIME 2024-202558.3%6.7%
LMArena Math13551240

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), Mistral Small 3: 25.1 (#263)

BenchmarkGLM-4.7-FlashMistral Small 3
GPQA Diamond60.5%47.3%
LMArena Expert13571202
Confabulations—25.2%
Vectara Hallucination Rate9.3%—

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Mistral Small 3: 37.3 (#236)

BenchmarkGLM-4.7-FlashMistral Small 3
LMArena Non-English13301198
LMArena Chinese14031204
LMArena French13321203
LMArena German13371211
LMArena Korean12831188
LMArena Russian13321216
LMArena Japanese—1111
LMArena Spanish1350—

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), Mistral Small 3: 63.7 (#229)

BenchmarkGLM-4.7-FlashMistral Small 3
LMArena Instruction Following13271214

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#148), Mistral Small 3: 37.8 (#211)

BenchmarkGLM-4.7-FlashMistral Small 3
LMArena Longer Query13451246

Writing & Preference GLM-4.7-Flash leads

GLM-4.7-Flash: 47.4 (#210), Mistral Small 3: 32.2 (#280)

BenchmarkGLM-4.7-FlashMistral Small 3
LMArena Text13511234
LMArena Creative Writing12971195
EQ-Bench Creative Writing1125707
LMArena Multi-Turn13421217

Frequently asked questions

Is GLM-4.7-Flash better than Mistral Small 3?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.2 on the Noometry Index. Mistral Small 3 costs 2.5× less per token, which makes it the better buy when GLM-4.7-Flash's lead doesn't matter for your workload.

Which is cheaper, GLM-4.7-Flash or Mistral Small 3?

Mistral Small 3 is cheaper. It lists at $0.05 per million input tokens and $0.08 per million output tokens; GLM-4.7-Flash lists at $0.06 and $0.40.

Is GLM-4.7-Flash or Mistral Small 3 better for coding?

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 36.5 in the Noometry coding category.

Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 33K.

How many benchmarks do GLM-4.7-Flash and Mistral Small 3 share?

19 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Small 3 has 24.

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