Noometry

Model comparison

GLM-5.3-Flash vs Mistral Nemo

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 26.4 on the Noometry Index. Mistral Nemo costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Last verified . 2 shared benchmarks.

GLM-5.3-Flash Z.ai (Zhipu)

51.8

Rank #41 Confirmed

Mistral Nemo Mistral AI

26.4

Rank #337 Confirmed

Summary

  • They share 2 benchmarks with published results for both. GLM-5.3-Flash scores higher in 5 categories and Mistral Nemo in 0 categories; 5 gaps are clear of the uncertainty.
  • The widest gap is in knowledge, where GLM-5.3-Flash leads 58.4 to 12.3.
  • The biggest single-benchmark swing is GPQA Diamond: 90.2% for GLM-5.3-Flash and 29.9% for Mistral Nemo.
  • Mistral Nemo is cheaper at $0.15 / $0.15 per million input/output tokens, against $0.15 / $0.50 for GLM-5.3-Flash.
  • GLM-5.3-Flash accepts more context: 1M tokens versus 128K.

Side by side

GLM-5.3-FlashMistral Nemo
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index51.826.4
Released2026-08-202024-07-01
WeightsOpenOpen
Context window1M128K
Max output131K128K
Input $ / M tokens$0.15$0.15
Output $ / M tokens$0.50$0.15
Results tracked4010

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Category by category

Coding Not comparable

GLM-5.3-Flash: 53.1 (#31), Mistral Nemo: —

BenchmarkGLM-5.3-FlashMistral Nemo
DeepSWE63.4%—
FrontierCode31.8%—
CursorBench36.8%—
LMArena WebDev1609—
FrontierSWE18.1%—
SciCode51.6%—
LMArena Coding1508—
ALE-Bench303.55—

Agentic & Tool Use GLM-5.3-Flash leads

GLM-5.3-Flash: 34.2 (#47), Mistral Nemo: 23.5 (#125)

BenchmarkGLM-5.3-FlashMistral Nemo
APEX-Agents52.8%—
Berkeley Function Calling Leaderboard—27.6%
BALROG—17.6%
GDP.pdf14%—

Reasoning GLM-5.3-Flash leads

GLM-5.3-Flash: 48.0 (#42), Mistral Nemo: 20.7 (#232)

BenchmarkGLM-5.3-FlashMistral Nemo
Epoch Capabilities Index151.88118.68
ARC-AGI-265.8%—
ARC-AGI-191%—
CritPt15.4%—
Chess Puzzles14%—
LMArena Hard Prompts1491—
Mystery Game Puzzles8%—
DTBench—48.6%
Surface Evolver Bench52.5%—
Bench to the Future 30.15—
PIQA—83.5%

Math GLM-5.3-Flash leads

GLM-5.3-Flash: 53.3 (#47), Mistral Nemo: 25.5 (#268)

BenchmarkGLM-5.3-FlashMistral Nemo
FrontierMath (Tiers 1-3)55.8%—
FrontierMath Tier 417.1%—
OTIS Mock AIME 2024-202593.9%—
ProofBench21%—
LMArena Math1500—
MATH Level 5—10.8%
GSM8K—84.2%

Knowledge GLM-5.3-Flash leads

GLM-5.3-Flash: 58.4 (#36), Mistral Nemo: 12.3 (#298)

BenchmarkGLM-5.3-FlashMistral Nemo
GPQA Diamond90.2%29.9%
LMArena Expert1513—
BoolQ—82.5%

Multimodal Not comparable

GLM-5.3-Flash: 42.8 (#27), Mistral Nemo: —

BenchmarkGLM-5.3-FlashMistral Nemo
LMArena Vision1296—

Multilingual Not comparable

GLM-5.3-Flash: 56.0 (#25), Mistral Nemo: —

BenchmarkGLM-5.3-FlashMistral Nemo
LMArena Non-English1462—
LMArena Chinese1527—
LMArena French1496—
LMArena German1470—
LMArena Japanese1429—
LMArena Korean1446—
LMArena Russian1469—
LMArena Spanish1471—

Instruction Following Not comparable

GLM-5.3-Flash: 77.5 (#20), Mistral Nemo: —

BenchmarkGLM-5.3-FlashMistral Nemo
LMArena Instruction Following1478—

Long Context Not comparable

GLM-5.3-Flash: 45.4 (#39), Mistral Nemo: —

BenchmarkGLM-5.3-FlashMistral Nemo
LMArena Longer Query1482—

Writing & Preference GLM-5.3-Flash leads

GLM-5.3-Flash: 65.3 (#50), Mistral Nemo: 28.5 (#296)

BenchmarkGLM-5.3-FlashMistral Nemo
LMArena Text1471—
LMArena Creative Writing1442—
EQ-Bench Creative Writing—881
LMArena Multi-Turn1467—

Frequently asked questions

Is GLM-5.3-Flash better than Mistral Nemo?

GLM-5.3-Flash is the stronger model overall, scoring 51.8 to 26.4 on the Noometry Index. Mistral Nemo costs 1.6× less per token, which makes it the better buy when GLM-5.3-Flash's lead doesn't matter for your workload.

Which is cheaper, GLM-5.3-Flash or Mistral Nemo?

Mistral Nemo is cheaper. It lists at $0.15 per million input tokens and $0.15 per million output tokens; GLM-5.3-Flash lists at $0.15 and $0.50.

Which has the bigger context window?

GLM-5.3-Flash does, with 1M tokens against 128K.

How many benchmarks do GLM-5.3-Flash and Mistral Nemo share?

2 benchmarks have published results for both models. GLM-5.3-Flash has 40 scored results on Noometry and Mistral Nemo has 10.

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