Noometry

Model comparison

GLM-4.7-Flash vs Mistral Large 3

GLM-4.7-Flash and Mistral Large 3 score almost the same on the Noometry Index (38.4 vs 38.6), so choose on price, context window or the category you care about most.

Last verified . 18 shared benchmarks.

GLM-4.7-Flash Z.ai (Zhipu)

38.4

Rank #175 Confirmed

Mistral Large 3 Mistral AI

38.6

Rank #172 Confirmed

Summary

  • They share 18 benchmarks with published results for both. GLM-4.7-Flash scores higher in 2 categories and Mistral Large 3 in 6 categories; 7 gaps are clear of the uncertainty.
  • The widest gap is in writing & preference, where Mistral Large 3 leads 60.2 to 47.7.
  • The biggest single-benchmark swing is Vectara Hallucination Rate: 9.3% for GLM-4.7-Flash and 14.5% for Mistral Large 3.
  • GLM-4.7-Flash is cheaper at $0.06 / $0.40 per million input/output tokens, against $0.25 / $0.75 for Mistral Large 3.
  • Mistral Large 3 accepts more context: 262K tokens versus 200K.

Side by side

GLM-4.7-FlashMistral Large 3
ProviderZ.ai (Zhipu)Mistral AI
Noometry Index38.438.6
Released2026-01-192025-12-02
WeightsOpenOpen
Context window200K262K
Max output131K8K
Input $ / M tokens$0.06$0.25
Output $ / M tokens$0.40$0.75
Results tracked2124

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Category by category

Coding GLM-4.7-Flash leads

GLM-4.7-Flash: 40.0 (#133), Mistral Large 3: 34.1 (#230)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Coding13831447
LMArena WebDev—1230

Reasoning GLM-4.7-Flash leads

GLM-4.7-Flash: 20.2 (#224), Mistral Large 3: 14.6 (#314)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Hard Prompts13561429
Kagi LLM Benchmark—50.9%
NYT Connections (extended)—7.5%
Chess Puzzles0%—
Thematic Generalization—23%

Math Mistral Large 3 leads

GLM-4.7-Flash: 34.4 (#159), Mistral Large 3: 36.0 (#131)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Math13541415
OTIS Mock AIME 2024-202558.3%—

Knowledge Too close to call

GLM-4.7-Flash: 35.4 (#177), Mistral Large 3: 35.5 (#173)

BenchmarkGLM-4.7-FlashMistral Large 3
Vectara Hallucination Rate9.3%14.5%
LMArena Expert13571421
GPQA Diamond60.5%—

Multimodal Not comparable

GLM-4.7-Flash: —, Mistral Large 3: 37.6 (#65)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Vision—1222

Multilingual Mistral Large 3 leads

GLM-4.7-Flash: 46.8 (#152), Mistral Large 3: 52.6 (#79)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Non-English13311412
LMArena Chinese14031448
LMArena French13321456
LMArena German13361438
LMArena Korean12841384
LMArena Russian13331412
LMArena Spanish13511437
LMArena Japanese—1399

Instruction Following Mistral Large 3 leads

GLM-4.7-Flash: 70.3 (#162), Mistral Large 3: 74.1 (#104)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Instruction Following13271402

Long Context Mistral Large 3 leads

GLM-4.7-Flash: 40.9 (#143), Mistral Large 3: 43.1 (#102)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Longer Query13451413

Writing & Preference Mistral Large 3 leads

GLM-4.7-Flash: 47.7 (#206), Mistral Large 3: 60.2 (#100)

BenchmarkGLM-4.7-FlashMistral Large 3
LMArena Text13511427
LMArena Creative Writing12971385
EQ-Bench Creative Writing11251412
LMArena Multi-Turn13421429

Frequently asked questions

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

GLM-4.7-Flash and Mistral Large 3 score almost the same on the Noometry Index (38.4 vs 38.6), so choose on price, context window or the category you care about most.

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

GLM-4.7-Flash is cheaper. It lists at $0.06 per million input tokens and $0.40 per million output tokens; Mistral Large 3 lists at $0.25 and $0.75.

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

GLM-4.7-Flash scores higher on coding benchmarks: 40.0 versus 34.1 in the Noometry coding category.

Which has the bigger context window?

Mistral Large 3 does, with 262K tokens against 200K.

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

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

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