Model comparison

GLM-4.7-Flash vs Mistral Small

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.4 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Mistral Small Mistral AI

33.4

Rank #243 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-4.7-Flash scores higher in 7 categories and Mistral Small in 1 category; 7 gaps are clear of the uncertainty.
  • The widest gap is in math, where GLM-4.7-Flash leads 36.1 to 16.4.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 5.8% for Mistral Small.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.15 / $0.60 for Mistral Small.
  • Mistral Small accepts more context: 262K tokens versus 200K.

Side by side

GLM-4.7-Flash and Mistral Small specifications
GLM-4.7-FlashMistral Small
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.833.4
Released2026-01-192024-02-26
WeightsOpenOpen
Context window200K262K
Max output131K256K
Input $ / M tokens$0.06$0.15
Output $ / M tokens$0.40$0.60
Results tracked2139

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Mistral Small: 34.0 (#247)

Coding benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Coding13831362
SciCode—26.5%
BigCodeBench Instruct—36.1%
LiveBench Coding—36.2%
BigCodeBench Complete—46.6%
ALE-Bench—497.62

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, Mistral Small: 28.1 (#93)

Agentic & Tool Use benchmarks
BenchmarkGLM-4.7-FlashMistral Small
Berkeley Function Calling Leaderboard—37.1%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), Mistral Small: 19.8 (#250)

Reasoning benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Hard Prompts13561335
Kagi LLM Benchmark—37.8%
CritPt—0%
Chess Puzzles0%—
LiveBench Reasoning—44.8%
DTBench—70.9%
LiveBench Data Analysis—53.7%
LMCA—20.6%
LiveBench—44%

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Mistral Small: 16.4 (#293)

Math benchmarks
BenchmarkGLM-4.7-FlashMistral Small
OTIS Mock AIME 2024-202558.3%5.8%
LMArena Math13551341
LiveBench Math—39.9%
MATH Level 5—46.8%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), Mistral Small: 31.0 (#222)

Knowledge benchmarks
BenchmarkGLM-4.7-FlashMistral Small
GPQA Diamond60.5%47.5%
Vectara Hallucination Rate9.3%5.1%
LMArena Expert13571291
MMLU—68.7%

Multimodal Not comparable

GLM-4.7-Flash: —, Mistral Small: 33.5 (#96)

Multimodal benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Vision—1142

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Mistral Small: 45.5 (#169)

Multilingual benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Non-English13301315
LMArena Chinese14031340
LMArena French13321337
LMArena German13371340
LMArena Korean12831259
LMArena Russian13321324
LMArena Spanish13501346
LMArena Japanese—1275

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), Mistral Small: 66.4 (#209)

Instruction Following benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Instruction Following13271310
LiveBench Instruction Following—63.7%

Long Context Too close to call

GLM-4.7-Flash: 40.9 (#148), Mistral Small: 40.4 (#156)

Long Context benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Longer Query13451327

Writing & Preference Mistral Small leads

GLM-4.7-Flash: 47.4 (#210), Mistral Small: 52.5 (#171)

Writing & Preference benchmarks
BenchmarkGLM-4.7-FlashMistral Small
LMArena Text13511338
LMArena Creative Writing12971305
LMArena Multi-Turn13421344
EQ-Bench Creative Writing1125—
LiveBench Language—30.5%

Frequently asked questions

Is GLM-4.7-Flash better than Mistral Small?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 33.4 on the Noometry Index.

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

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Small lists at $0.15 and $0.60.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.0 in the Noometry coding category.

Which has the bigger context window?

Mistral Small does, with 262K tokens against 200K.

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

19 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Small has 39.

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