Decision support

Midjourney V8.2 vs Qwen Image 3

Compare canonical objects directly. The useful dimensions change with the object type, so model and hardware comparisons stay separate.

Benchmark results

No benchmark results have been matched to these models yet.

Model specifications

Release date
July 24, 2026
August 5, 2026
Context window
—
66K
Native context
—
—
Max output tokens
—
58,982
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—

API pricing · USD per 1M tokens

Input
—
$0.00
Output
—
$0.00
Cached input
—
—
Cache write
—
—

Capabilities and modalities

Input modalities
text, image
text, image
Output modalities
image
image
Tool calling
—
—
Reasoning option
—
—
Supported options
—
max_tokens, presence_penalty, response_format, seed, temperature, top_p
Capabilities
—
—

Architecture and availability

Architecture
—
—
Model families
—
—
Tokenizer
—
Qwen
Instruction format
—
—
License
proprietary
—
Providers
0
1
Provider endpoints
0
1
Ollama variants
0
0
Metadata source
curated
ai-research

A dash means the field is not reported. Provider-specific performance and pricing may differ.

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