Pairwise benchmark snapshot · Aug 17, 2026noindex (thin pair)

Z.ai: GLM 5V Turbo vs Wan2.6 Text to Image benchmark

Name: Z.ai: GLM 5V Turbo vs Wan2.6 Text to Image AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

This page compares Z.ai: GLM 5V Turbo (Zhipu) and Wan2.6 Text to Image (Alibaba) using the latest snapshots we have as of Aug 17, 2026. Every cell below is a dated snapshot from a named public source — we do not invent missing scores, and we do not run SWE-bench ourselves.

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Zhipu

Z.ai: GLM 5V Turbo

Auto-discovered from OpenRouter (z-ai/glm-5v-turbo). Preview until a second source matches.

Elo 1,475$4/1M out

Alibaba

Wan2.6 Text to Image

Alibaba high-efficiency open video/image unified transformer backbone.

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Model A

Model B

Quick vs:vs Claude Opus 4.5 vs Claude Opus 4.6 vs Claude Sonnet 4.5 vs Claude 3.7 Sonnet

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 5V Turbo (10)vsWan2.6 Text to Image (0)

Z.ai: GLM 5V Turbo: 10W (100%)Overall: Z.ai: GLM 5V TurboWan2.6 Text to Image: 0W (0%)

← Z.ai: GLM 5V TurboWan2.6 Text to Image →

Z.ai: GLM 5V Turbo (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,475vs—

Coding Elo

1,482vs—

SWE-bench

65.2%vs—

LiveBench

63.8%vs—

GPQA Diamond

77.4%vs—

Z.ai: GLM 5V Turbo: 5WWan2.6 Text to Image: 0W

Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs—

Time to first token

180 msvs—

Z.ai: GLM 5V Turbo: 2WWan2.6 Text to Image: 0W

Z.ai: GLM 5V Turbo (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs—

Input price

$1.2/1Mvs—

Context window

203kvs—

Z.ai: GLM 5V Turbo: 3WWan2.6 Text to Image: 0W

Capability Matchup Radar

Multi-Dimensional Capability Radar

Each spoke is a skill. Farther from the center is better (0–100th percentile). Tap any dot to inspect details.

Tap any node to inspect

Percentile 0–100

Dimensional AdvantageWan2.6 Text to Image 5/6

Preference Elo

No shared data

Throughput Speed

No shared data

Price Efficiency

No shared data

Full Benchmark Score Matrix

—

Elo

High is better

1,475

EloHigh is better

—

Code Elo

High is better

1,482

Code EloHigh is better

—

LiveBench

High is better

63.8%

LiveBenchHigh is better

—

SWE-bench

High is better

65.2%

SWE-benchHigh is better

—

GPQA

High is better

77.4%

GPQAHigh is better

—

TTFT

Low is better

180 ms

TTFTLow is better

—

Speed

High is better

112 tok/s

SpeedHigh is better

—

In $

Low is better

$1.2/1M

In $Low is better

—

Out $

Low is better

$4/1M

Out $Low is better

—

Context

High is better

203k

ContextHigh is better

—

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

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CompareLLM Matrix

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LIVE

Zhipu

Z.ai: GLM 5V Turbo

Elo 1,475

LiveBench63.8%

SWE-bench65.2%

Speed112 tok/s

Output cost$4/1M

Alibaba

Wan2.6 Text to Image

Elo n/a

LiveBench—

SWE-bench—

Speed—

Output cost—

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?: We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.
Which is better at coding, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?: SWE-bench is missing for at least one model, so we do not rank coding from a single number.
Which is cheaper to run in production?: List prices are missing for at least one model.
Which is faster, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?: We do not have TTFT for both models.
Which has the larger context window?: Context window is missing for at least one model.
Can I self-host either model?: Wan2.6 Text to Image is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.
Are these scores from CompareLLM’s own evals?: No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.
What does preference Elo mean on this page?: Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Z.ai: GLM 5V Turbo and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All Z.ai: GLM 5V Turbo matchups →|All Wan2.6 Text to Image matchups →

Z.ai: GLM 5V Turbo vs GLM-5.2 (previous glm)Z.ai: GLM 5V Turbo vs GLM-5.3 (next glm)Qwen QwQ 32B vs Z.ai: GLM 5V Turbo Qwen 3 Max vs Z.ai: GLM 5V Turbo Qwen Image 2.0 Pro vs Wan2.6 Text to Image Qwen 2.5 Plus vs Z.ai: GLM 5V Turbo

Interactive Comparison Diagram

Matchup Breakdown

Tug-of-War Matchup Matrix

Category wins across intelligence, speed, and pricing efficiency.

Z.ai: GLM 5V Turbo (10)vsWan2.6 Text to Image (0)

Z.ai: GLM 5V Turbo: 10W (100%)Overall: Z.ai: GLM 5V TurboWan2.6 Text to Image: 0W (0%)

← Z.ai: GLM 5V TurboWan2.6 Text to Image →

Z.ai: GLM 5V Turbo (5/5)

Intelligence & Reasoning

Preference Elo, Coding proficiency, SWE-bench & LiveBench accuracy

Preference Elo

1,475vs—

Coding Elo

1,482vs—

SWE-bench

65.2%vs—

LiveBench

63.8%vs—

GPQA Diamond

77.4%vs—

Z.ai: GLM 5V Turbo: 5WWan2.6 Text to Image: 0W

Z.ai: GLM 5V Turbo (2/2)

Speed & Latency

Generation throughput and time to first token responsiveness

Output speed

112 tok/svs—

Time to first token

180 msvs—

Z.ai: GLM 5V Turbo: 2WWan2.6 Text to Image: 0W

Z.ai: GLM 5V Turbo (3/3)

Pricing & Capacity

Cost per million tokens and max context window length

Output price

$4/1Mvs—

Input price

$1.2/1Mvs—

Context window

203kvs—

Z.ai: GLM 5V Turbo: 3WWan2.6 Text to Image: 0W

Recommended Workload Routing

Repo / coding agentsinsufficient data

Need SWE-bench on both sides.

High-volume chatinsufficient data

Need list prices.

Voice / low-latency UIinsufficient data

Need TTFT on both sides.

Long-document RAGinsufficient data

Need context sizes.

Screenshots / visioninsufficient data

Both accept images. Defaulting to the higher-Elo side (undefined).

Target Workload	Recommended Pick	Evaluation Rationale
Repo / coding agents	insufficient data	Need SWE-bench on both sides.
High-volume chat	insufficient data	Need list prices.
Voice / low-latency UI	insufficient data	Need TTFT on both sides.
Long-document RAG	insufficient data	Need context sizes.
Screenshots / vision	insufficient data	Both accept images. Defaulting to the higher-Elo side (undefined).

Frequently Asked Questions

Which is better overall, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?

We do not have preference Elo for both models, so we do not declare an overall winner. Compare the metrics that exist.

Which is better at coding, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?

SWE-bench is missing for at least one model, so we do not rank coding from a single number.

Which is cheaper to run in production?

List prices are missing for at least one model.

Which is faster, Z.ai: GLM 5V Turbo or Wan2.6 Text to Image?

We do not have TTFT for both models.

Which has the larger context window?

Context window is missing for at least one model.

Can I self-host either model?

Wan2.6 Text to Image is marked open-weights in our catalog. The other side is a closed API. Check the provider license before you ship weights.

Are these scores from CompareLLM’s own evals?

No. V1 aggregates public leaderboards (and optional first-party latency pings). Each cell names its source and date. Read /methodology.

What does preference Elo mean on this page?

Preference Elo is a crowd vote from LMArena / Arena. People see two hidden answers and pick the one they like more. The model that wins more often gets a higher Elo. That means people preferred it — not that it passed a school test. It is not SWE-bench, not accuracy, and not a number we invent. Z.ai: GLM 5V Turbo and Wan2.6 Text to Image Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.