Noometry

Model comparison

GLM-4.7-Flash vs Mistral Large

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.

Last verified . 20 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.8

Rank #180 Confirmed

Mistral Large Mistral AI

31.9

Rank #263 Confirmed

Summary

  • They share 20 benchmarks with published results for both. GLM-4.7-Flash scores higher in 8 categories and Mistral Large 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 18.2.
  • The biggest single-benchmark swing is OTIS Mock AIME 2024-2025: 58.3% for GLM-4.7-Flash and 8.5% for Mistral Large.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $2 / $6 for Mistral Large.
  • GLM-4.7-Flash accepts more context: 200K tokens versus 131K.

Side by side

GLM-4.7-FlashMistral Large
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.831.9
Released2026-01-192024-02-26
WeightsOpenOpen
Context window200K131K
Max output131K16K
Input $ / M tokens$0.06$2
Output $ / M tokens$0.40$6
Results tracked2151

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.6 (#135), Mistral Large: 34.3 (#240)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Coding13831277
SciCode—36.2%
BigCodeBench Instruct—30%
LiveBench Coding—47.1%
BigCodeBench Complete—38.3%
ALE-Bench—264.7
HumanEval+—62.2%
MBPP+—59.5%

Agentic & Tool Use Not comparable

GLM-4.7-Flash: —, Mistral Large: 28.6 (#89)

BenchmarkGLM-4.7-FlashMistral Large
Berkeley Function Calling Leaderboard—38.4%

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.9 (#229), Mistral Large: 15.8 (#310)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Hard Prompts13561257
SimpleBench—22.5%
CritPt—0%
Chess Puzzles0%—
LiveBench Reasoning—43.5%
DTBench—65.1%
LiveBench Data Analysis—50.1%
LMCA—16.7%
Epoch Capabilities Index—128.52
ForecastBench—57.1
LiveBench—48.4%

Math GLM-4.7-Flash leads

GLM-4.7-Flash: 36.1 (#173), Mistral Large: 18.2 (#291)

BenchmarkGLM-4.7-FlashMistral Large
OTIS Mock AIME 2024-202558.3%8.5%
LMArena Math13551262
Omni-MATH—28.1%
LiveBench Math—42.5%
MATH Level 5—50.3%
FrontierMath (Feb 2025 set)—0.3%

Knowledge GLM-4.7-Flash leads

GLM-4.7-Flash: 35.5 (#184), Mistral Large: 30.1 (#230)

BenchmarkGLM-4.7-FlashMistral Large
GPQA Diamond60.5%51.3%
Vectara Hallucination Rate9.3%4.5%
LMArena Expert13571232
MMLU-Pro—59.9%
Confabulations—21.4%
GPQA (HELM)—43.5%
MMLU—80%

Multilingual GLM-4.7-Flash leads

GLM-4.7-Flash: 46.5 (#158), Mistral Large: 40.0 (#219)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Non-English13301237
LMArena Chinese14031240
LMArena French13321325
LMArena German13371254
LMArena Korean12831202
LMArena Russian13321257
LMArena Spanish13501268
LMArena Japanese—1188

Instruction Following GLM-4.7-Flash leads

GLM-4.7-Flash: 70.1 (#167), Mistral Large: 67.9 (#191)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Instruction Following13271249
LiveBench Instruction Following—67.9%
IFEval—87.7%

Long Context GLM-4.7-Flash leads

GLM-4.7-Flash: 40.9 (#148), Mistral Large: 38.3 (#199)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Longer Query13451261

Writing & Preference GLM-4.7-Flash leads

GLM-4.7-Flash: 47.4 (#210), Mistral Large: 40.7 (#242)

BenchmarkGLM-4.7-FlashMistral Large
LMArena Text13511266
LMArena Creative Writing12971243
EQ-Bench Creative Writing1125985
LMArena Multi-Turn13421260
Short-Story Creative Writing—69%
WildBench—80.1%
LiveBench Language—39.4%

Frequently asked questions

Is GLM-4.7-Flash better than Mistral Large?

GLM-4.7-Flash is the stronger model overall, scoring 38.8 to 31.9 on the Noometry Index.

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

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Large lists at $2 and $6.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.6 versus 34.3 in the Noometry coding category.

Which has the bigger context window?

GLM-4.7-Flash does, with 200K tokens against 131K.

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

20 benchmarks have published results for both models. GLM-4.7-Flash has 21 scored results on Noometry and Mistral Large has 51.

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