Model comparison

GLM-5V-Turbo vs Qwen3.6 Flash

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 38.4 on the Noometry Index. Qwen3.6 Flash costs 4.5× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Last verified . 0 shared benchmarks.

GLM-5V-Turbo Z.ai (Zhipu)

43.1

Rank #86 Confirmed

Qwen3.6 Flash Alibaba (Qwen)

38.4

Rank #176 Confirmed

Summary

  • Qwen3.6 Flash is cheaper at $0.19 / $1.13 per million input/output tokens, against $1.20 / $4 for GLM-5V-Turbo.
  • Qwen3.6 Flash accepts more context: 1M tokens versus 200K.

Side by side

GLM-5V-Turbo and Qwen3.6 Flash specifications
GLM-5V-TurboQwen3.6 Flash
ProviderZ.ai (Zhipu)Alibaba (Qwen)
Noometry Index43.138.4
Released2026-04-012026-04-27
WeightsProprietaryProprietary
Context window200K1M
Max output131K66K
Input $ / M tokens$1.20$0.19
Output $ / M tokens$4$1.13
Results tracked1913

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Category by category

Coding Not comparable

GLM-5V-Turbo: 41.8 (#105), Qwen3.6 Flash: —

Coding benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena WebDev1400—
LMArena Coding1467—
ALE-Bench—326.4

Reasoning Too close to call

GLM-5V-Turbo: 28.5 (#87), Qwen3.6 Flash: 28.4 (#90)

Reasoning benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
SimpleBench—35.2%
Chess Puzzles—20%
LMArena Hard Prompts1443—
Mystery Game Puzzles—18%
DTBench—77.1%
LMCA—31%
Epoch Capabilities Index—143.26

Math Qwen3.6 Flash leads

GLM-5V-Turbo: 36.6 (#109), Qwen3.6 Flash: 38.0 (#88)

Math benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
FrontierMath (Tiers 1-3)—22.5%
OTIS Mock AIME 2024-2025—84.4%
LMArena Math1440—
FrontierMath (Feb 2025 set)—10.3%
FrontierMath Tier 4 (v1)—0%

Knowledge Qwen3.6 Flash leads

GLM-5V-Turbo: 39.9 (#113), Qwen3.6 Flash: 42.2 (#90)

Knowledge benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
GPQA Diamond—83.3%
SimpleQA Verified—15.9%
LMArena Expert1451—

Multimodal Not comparable

GLM-5V-Turbo: 40.1 (#41), Qwen3.6 Flash: —

Multimodal benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena Vision1264—
LMArena Document1416—

Multilingual Not comparable

GLM-5V-Turbo: 53.2 (#69), Qwen3.6 Flash: —

Multilingual benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena Non-English1420—
LMArena Chinese1488—
LMArena French1443—
LMArena German1422—
LMArena Korean1399—
LMArena Russian1432—
LMArena Spanish1446—

Instruction Following Not comparable

GLM-5V-Turbo: 75.1 (#75), Qwen3.6 Flash: —

Instruction Following benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena Instruction Following1422—

Long Context Not comparable

GLM-5V-Turbo: 44.0 (#76), Qwen3.6 Flash: —

Long Context benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena Longer Query1439—

Writing & Preference Not comparable

GLM-5V-Turbo: 62.6 (#69), Qwen3.6 Flash: —

Writing & Preference benchmarks
BenchmarkGLM-5V-TurboQwen3.6 Flash
LMArena Text1437—
LMArena Creative Writing1414—
LMArena Multi-Turn1432—

Frequently asked questions

Is GLM-5V-Turbo better than Qwen3.6 Flash?

GLM-5V-Turbo is the stronger model overall, scoring 43.1 to 38.4 on the Noometry Index. Qwen3.6 Flash costs 4.5× less per token, which makes it the better buy when GLM-5V-Turbo's lead doesn't matter for your workload.

Which is cheaper, GLM-5V-Turbo or Qwen3.6 Flash?

Qwen3.6 Flash is cheaper. It lists at $0.19 per million input tokens and $1.13 per million output tokens; GLM-5V-Turbo lists at $1.20 and $4.

Which has the bigger context window?

Qwen3.6 Flash does, with 1M tokens against 200K.

How many benchmarks do GLM-5V-Turbo and Qwen3.6 Flash share?

0 benchmarks have published results for both models. GLM-5V-Turbo has 19 scored results on Noometry and Qwen3.6 Flash has 13.

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