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Tier B — Production
Runs in:CNMade in:China
Z.ai (GLM / Zhipu)

CogView-4

Tier B — Production

Tokonomix Editorial Team·Reviewed by Mes Kalkan··
Section 01

Speed analysis

Latency measured across all benchmark runs. P50 (median) and P95 (95th percentile) give a realistic picture of response speed under normal and peak load.

P50 latency (median)P95 latency55 runs
6612841110210120091380808-0808-21ms
Section 02

Quality scores

How this model compares to the rest of the field on each prompt category, from a pairwise fit over the same prompts. The raw judge score sits underneath each number.

1%
Coding
judge mean 0
<1%
Creative
judge mean 0

Win rate per category: how often this model beats a field-average model on a prompt from that category. 50% is average, not a failing grade. It is not a percentage of correct answers.

Section 03

Tokens per second

Throughput in tokens per second, derived from measured P50 latency. Higher is better; fluctuations track provider-side load.

Throughput (tokens / s)26 / avg 26
3019

Estimated from P50 latency × 200 output tokens — the absolute number depends on this assumption; the trend is what matters.

Section 04

Capabilities

note: plain "cogview-4" = Unknown Model; use dated slugsource: zaiimage generation
Section 05

Availability

Availability

No measurements yet

We haven't recorded enough API calls to show availability stats for this model. Data appears once the model starts receiving live traffic.

Section 06

Tokonomix benchmark verdicts

⚖️
Endorsed by 1 judge
Independent LLM judges evaluated this model on our weekly intelligence tests
claude-sonnet-4-50/100 · 4 runs
0 correct0 partial4 wrong0% accuracy
2026-09-06

CogView-4 maintains steady image generation performance in second window

CogView-4 continues to demonstrate consistent image generation capabilities in its second benchmark window, showing no significant performance changes from its debut. The model maintains its position as a competent image generation solution with stable output quality. Users can expect reliable performance for standard image generation tasks, though the lack of measurable improvement suggests the model has settled into a steady state rather than showing rapid development. The absence of any performance degradation is noteworthy, indicating solid engineering and consistent model behavior across evaluation periods. For teams evaluating image generation options, CogView-4 presents as a stable choice that delivers predictable results without surprising regressions. The model's continued availability and unchanged capabilities make it suitable for production workflows where consistency is valued. However, users seeking cutting-edge improvements or new features will find this window uneventful. The benchmark data reveals neither breakthrough advances nor concerning declines, positioning CogView-4 as a reliable if unremarkable option in the current image generation landscape.

Quality

Latency p50

Test runs

0

Performance remains stable No quality degradation observed
Last automated test
Aug 21, 2026 · 20:02 UTC · Speed benchmark
P50 latency
7600 ms
P95 latency
8515 ms
Errors
0 / 6 runs
Last reviewed by Tokonomix Team·August 21, 2026