Noometry

Model comparison

GLM-5.3-Flash vs Mixtral 8x7B

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 26.8 on the Noometry Index.

Last verified . 19 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

49.6

Rank #45 Confirmed

Mixtral 8x7B Mistral AI

26.8

Rank #328 Confirmed

Summary

  • They share 19 benchmarks with published results for both. GLM-5.3-Flash scores higher in 8 categories and Mixtral 8x7B in 0 categories; 8 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 11.0.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 30.6% for Mixtral 8x7B.
  • GLM-5.3-Flash is cheaper at $0.15 / $0.50 per million input/output tokens, against $0.70 / $0.70 for Mixtral 8x7B.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 32K.

Side by side

GLM-5.3-FlashMixtral 8x7B
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index49.626.8
Released2026-08-202023-12-11
WeightsOpenOpen
Context window1M32K
Max output131K32K
Input $ / M tokens$0.15$0.70
Output $ / M tokens$0.50$0.70
Results tracked3638

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Category by category

Coding GLM-5.3-Flash leads

GLM-5.3-Flash: 53.7 (#26), Mixtral 8x7B: 32.2 (#265)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Coding15061127
DeepSWE63.4%—
FrontierCode31.8%—
LMArena WebDev1614—
SciCode51.6%—
ALE-Bench303.55—
HumanEval+—39.6%
MBPP+—49.7%

Agentic & Tool Use Not comparable

GLM-5.3-Flash: 34.3 (#41), Mixtral 8x7B: —

BenchmarkGLM-5.3-FlashMixtral 8x7B
APEX-Agents52.8%—
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 31.7 (#69), Mixtral 8x7B: 17.4 (#283)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Hard Prompts14901115
Epoch Capabilities Index151.9118.38
CritPt15.4%—
Chess Puzzles14%—
Mystery Game Puzzles8%—
DTBench—49.6%
Surface Evolver Bench52.5%—
Adversarial NLI—55.2%
Bench to the Future 30.15—
ForecastBench—56.3
HellaSwag—86.7%
PIQA—83.6%
WinoGrande—77.2%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.1 (#38), Mixtral 8x7B: 17.2 (#284)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Math14991147
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
Omni-MATH—10.5%
MATH Level 5—10%
GSM8K—74.4%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#33), Mixtral 8x7B: 11.0 (#296)

BenchmarkGLM-5.3-FlashMixtral 8x7B
GPQA Diamond90.2%30.6%
LMArena Expert15121088
MMLU-Pro—33.5%
GPQA (HELM)—29.6%
ARC (AI2) Challenge—87.3%
MMLU—70.6%
OpenBookQA—85.8%
TriviaQA—82.2%

Multimodal Not comparable

GLM-5.3-Flash: 42.6 (#25), Mixtral 8x7B: —

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Vision1304—

Multilingual GLM-5.3-Flash leads

GLM-5.3-Flash: 56.2 (#24), Mixtral 8x7B: 29.8 (#261)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Non-English14621077
LMArena Chinese15291055
LMArena French14951165
LMArena German14571114
LMArena Japanese1420931
LMArena Korean1443968
LMArena Russian14721090
LMArena Spanish14711110

Instruction Following GLM-5.3-Flash leads

GLM-5.3-Flash: 77.8 (#17), Mixtral 8x7B: 51.2 (#292)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Instruction Following14801110
IFEval—57.5%

Long Context GLM-5.3-Flash leads

GLM-5.3-Flash: 45.3 (#41), Mixtral 8x7B: 33.4 (#255)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Longer Query14791103

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.4 (#49), Mixtral 8x7B: 34.4 (#265)

BenchmarkGLM-5.3-FlashMixtral 8x7B
LMArena Text14711132
LMArena Creative Writing14401109
LMArena Multi-Turn14711115
WildBench—67.3%

Frequently asked questions

Is GLM-5.3-Flash better than Mixtral 8x7B?

GLM-5.3-Flash is the stronger model overall, scoring 49.6 to 26.8 on the Noometry Index.

Which is cheaper, GLM-5.3-Flash or Mixtral 8x7B?

GLM-5.3-Flash is cheaper. It lists at $0.15 per million input tokens and $0.50 per million output tokens; Mixtral 8x7B lists at $0.70 and $0.70.

Is GLM-5.3-Flash or Mixtral 8x7B better for coding?

GLM-5.3-Flash scores higher on coding benchmarks: 53.7 versus 32.2 in the Noometry coding category.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 32K.

How many benchmarks do GLM-5.3-Flash and Mixtral 8x7B share?

19 benchmarks have published results for both models. GLM-5.3-Flash has 36 scored results on Noometry and Mixtral 8x7B has 38.

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