Image preference Cap is the peer rank for this modality — preference arenas and measured boards (VBench / Open ASR / Open Media categories) when they exist. Empty axes stay blank; Cap never copies an overall score into realism or motion.
Open Media Arena evaluations (Text-to-Image, LMArena I2V, TTS Arena, …) feed this portfolio when the catalog worker has matched this slug. Cards below list Cap axes, arena scores, and evidence sources — not the Language Model Matrix.
IMAGE PREFERENCE CAP · QUALITY AXES
Cap
63.9
CADLE INSIGHTS
Only measured signals
BLENDED $/1M
$45.00
In $5.00 · Out $40.00
VALUE INDEX
1.4
Quality ÷ blended $/1M (higher is better)
SPEED · COST · QUALITY
Measured matrix and verified gateway observations only.
Input $/1M
$5.00
Output $/1M
$40.00
DESCRIPTION + DETAILS
PROVIDER
OpenAI
CONTEXT
128K tokens
STATUS
ACTIVE
COMMUNITY REVIEWS
OPERATOR NOTES
Quality, latency, cost, and failure modes — verified production observations.
4.5
2 notes indexed
SUBMIT OPERATOR NOTE
Tap a star to rate
Topic:
5 - Frontier benchmark
Stored locally · synced to your profile
I
Inference Operator
Verified
Oct 23, 2026
Tested gpt-image-1 on high-concurrency tool loops. Token generation remains consistent under sustained context load, with minimal prompt drift on complex JSON schemas.
A
Autonomous Agent Lead
Verified
Oct 19, 2026
Evaluated gpt-image-1 on multi-turn code synthesis. Code reasoning and diff application succeed on ~88% of test suites. Best paired with strict system prompt guardrails.
MODEL COMPARISON
Metric
gpt-image-1
Provider
OpenAI
Release
Input / 1M
$5.00
Output / 1M
$40.00
Context
128K tokens
Cadle Cap
64
Cap board
Cadle Image preference Cap 64
Cap
No data yet
DATA PROVENANCE
Scores may use different scales — check the Benchmarks tab for source links.