Pairwise benchmark snapshot · Aug 1, 2026noindex (thin pair)

GLM-5V Turbo vs Ideogram 4.0 (Quality) benchmark

Name: GLM-5V Turbo vs Ideogram 4.0 (Quality) AI benchmark comparison
Creator: CompareLLM
License: https://creativecommons.org/licenses/by/4.0/

Comparing verified benchmark accuracy, speed, and token pricing between GLM-5V Turbo and Ideogram 4.0 (Quality). Review the complete breakdown below to determine which model best fits your performance and budget requirements.

Share Analysis:

Zhipu

GLM-5V Turbo

Zhipu high-throughput multimodal vision model with sub-second latency and competitive coding.

5V TurboImg Elo 1,475

Ideogram

Ideogram 4.0 (Quality)

Industry-leading typography, graphic design, and in-image text layout model with precise kerning and complex banner generation.

Img Elo 1,216$100/1k imgs

GLM-5 Series Lineage & Sibling Variants

3 models

Currently comparing GLM-5V Turbo vs Ideogram 4.0 (Quality). Alternative family tiers available.

Active: GLM-5V Turbo

GLM-5.2$1.8 GLM-5.3$1.8

Top Rival Showdowns for GLM-5V Turbo

All Matchups

Compare vs:vs GPT Image 2 (High)vs Reve 2.1 vs Nano Banana Pro (Gemini 3 Pro Image)vs FLUX.2 [max]vs Ideogram 4.0 Open Weights

Image Quality Leader

No shared data

Single model data

Generation Speed Leader

No shared data

No latency data

Value per Dollar Leader

No shared data

Unpriced

Head-to-Head Comparison

Overall Matchup Breakdown

Category wins across reasoning intelligence, generation speed, and token cost.

GLM-5V Turbo (0)vsIdeogram 4.0 (Quality) (5)

GLM-5V Turbo: 0W (0%)Overall: Ideogram 4.0 (Quality)Ideogram 4.0 (Quality): 5W (100%)

← GLM-5V TurboIdeogram 4.0 (Quality) →

🏆Ideogram 4.0 (Quality)(3/3)

Visual Quality & Adherence

Arena Preference Elo, prompt fidelity & typography score

Benchmark

GLM-5V TurbovsIdeogram 4.0 (Quality)

Image Elo

—vs1,216

Prompt adherence

—vs91.5%

Text rendering

—vs96.5%

GLM-5V Turbo: 0WIdeogram 4.0 (Quality): 3W

🏆Ideogram 4.0 (Quality)(1/1)

Generation Latency

Time to render full-resolution image snapshot (seconds)

Benchmark

GLM-5V TurbovsIdeogram 4.0 (Quality)

Generation time

—vs5s

GLM-5V Turbo: 0WIdeogram 4.0 (Quality): 1W

🏆Ideogram 4.0 (Quality)(1/1)

Cost Efficiency

API inference cost per 1,000 generated images

Benchmark

GLM-5V TurbovsIdeogram 4.0 (Quality)

Price per 1k images

—vs$100/1k

GLM-5V Turbo: 0WIdeogram 4.0 (Quality): 1W

Side-by-Side Benchmark Matrix

Image Elo

GLM-5V Turbo—

Ideogram 4.0 (Quality)1,216

seed-bootstrap · Aug 1, 2026

Generation time

GLM-5V Turbo—

Ideogram 4.0 (Quality)5s

seed-bootstrap · Aug 1, 2026

Price per 1k images

GLM-5V Turbo—

Ideogram 4.0 (Quality)$100/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence

GLM-5V Turbo—

Ideogram 4.0 (Quality)91.5%

seed-bootstrap · Aug 1, 2026

Text rendering

GLM-5V Turbo—

Ideogram 4.0 (Quality)96.5%

seed-bootstrap · Aug 1, 2026

Benchmark	GLM-5V Turbo	Ideogram 4.0 (Quality)	Advantage Delta
Image Elo	—	1,216 seed-bootstrap · Aug 1, 2026	—
Generation time	—	5s seed-bootstrap · Aug 1, 2026	—
Price per 1k images	—	$100/1k seed-bootstrap · Aug 1, 2026	—
Prompt adherence	—	91.5% seed-bootstrap · Aug 1, 2026	—
Text rendering	—	96.5% seed-bootstrap · Aug 1, 2026	—

Interactive Simulator (USD)

Workload Cost & Savings Calculator

Simulate monthly production API costs in USD (US Dollar).

Save up to 100% with GLM-5V Turbo

Monthly Image Production Volume25k images / month (25000 imgs)

Quick Presets:

GLM-5V Turbo$0.00 / mo

Rate: $0/1k

Ideogram 4.0 (Quality)$2,500.00 / mo

Rate: $100/1k

Estimated Cost Delta

GLM-5V Turbo is estimated to save $2,500.00/month ($30,000/year).

Based on 25k images generated

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).

Community Sentiment

Cast Your Matchup Vote

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Community Discussions (0)

No comments posted on this matchup yet. Be the first to share an evaluation note!

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CompareLLM AI Matrix

Verified Head-to-Head Telemetry

LIVE BENCHMARK

Zhipu

GLM-5V Turbo

Elo 1,475

SWE-bench65.2%

Speed (tok/s)112 tok/s

Input / 1M Tokens$0.15/1M

Output / 1M Tokens$0.6/1M

Ideogram

Ideogram 4.0 (Quality)

Elo n/a

SWE-bench—

Speed (tok/s)—

Input / 1M Tokens$100/1k

Output / 1M Tokens$100/1k

Frequently Asked Questions

Which is better overall, GLM-5V Turbo or Ideogram 4.0 (Quality)?: 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, GLM-5V Turbo or Ideogram 4.0 (Quality)?: 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, GLM-5V Turbo or Ideogram 4.0 (Quality)?: 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?: GLM-5V Turbo 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. GLM-5V Turbo and Ideogram 4.0 (Quality) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.

Similar Head-to-Head Comparisons

All GLM-5V Turbo matchups →|All Ideogram 4.0 (Quality) matchups →

GLM-5V Turbo vs GLM-5.2 (previous glm)GLM-5V Turbo vs GLM-5.3 (next glm)Ideogram 4.0 (Quality) vs Ideogram 4.0 Open Weights (next ideogram)Yi-Lightning vs GLM-5V Turbo MiniMax M2.5 vs GLM-5V Turbo Doubao Pro 1.5 vs GLM-5V Turbo

Side-by-Side Benchmark Matrix

Image Elo

GLM-5V Turbo—

Ideogram 4.0 (Quality)1,216

seed-bootstrap · Aug 1, 2026

Generation time

GLM-5V Turbo—

Ideogram 4.0 (Quality)5s

seed-bootstrap · Aug 1, 2026

Price per 1k images

GLM-5V Turbo—

Ideogram 4.0 (Quality)$100/1k

seed-bootstrap · Aug 1, 2026

Prompt adherence

GLM-5V Turbo—

Ideogram 4.0 (Quality)91.5%

seed-bootstrap · Aug 1, 2026

Text rendering

GLM-5V Turbo—

Ideogram 4.0 (Quality)96.5%

seed-bootstrap · Aug 1, 2026

Benchmark

GLM-5V Turbo

Ideogram 4.0 (Quality)

Advantage Delta

Image Elo

—

1,216

seed-bootstrap · Aug 1, 2026

—

Generation time

—

seed-bootstrap · Aug 1, 2026

—

Price per 1k images

—

$100/1k

seed-bootstrap · Aug 1, 2026

—

Prompt adherence

—

91.5%

seed-bootstrap · Aug 1, 2026

—

Text rendering

—

96.5%

seed-bootstrap · Aug 1, 2026

—

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, GLM-5V Turbo or Ideogram 4.0 (Quality)?

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, GLM-5V Turbo or Ideogram 4.0 (Quality)?

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, GLM-5V Turbo or Ideogram 4.0 (Quality)?

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?

GLM-5V Turbo 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. GLM-5V Turbo and Ideogram 4.0 (Quality) Elo cells are dated snapshots from the named source — we do not compute Arena ourselves.