Decision support
Mi:dm K 3.0 Pro vs Ripple-65B Preview
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
November 5, 2026
November 4, 2026
Context window
262K
1M
Native context
—
—
Max output tokens
235,615
131,072
Knowledge cutoff
—
—
Open weights
Unknown
Open weights
Parameter count
—
65B
API pricing · USD per 1M tokens
Input
$0.20
$0.20
Output
$0.80
$0.60
Cached input
$0.04
$0.05
Cache write
—
—
Capabilities and modalities
Input modalities
text
text
Output modalities
text
text
Tool calling
—
Supported
Reasoning option
Supported
Supported
Supported options
frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, response_format, structured_outputs, temperature, top_k, top_logprobs, top_p
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
Apache 2.0
Providers
1
3
Provider endpoints
1
3
Ollama variants
0
0
Metadata source
ai-research
curated
A dash means the field is not reported. Provider-specific performance and pricing may differ.