Decision support
Nemotron 3.5 Super VL 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
October 15, 2026
November 4, 2026
Context window
1M
1M
Native context
—
—
Max output tokens
943,718
131,072
Knowledge cutoff
—
—
Open weights
Open weights
Open weights
Parameter count
—
65B
API pricing · USD per 1M tokens
Input
$0.15
$0.20
Output
$0.47
$0.60
Cached input
$0.02
$0.05
Cache write
—
—
Capabilities and modalities
Input modalities
text, image, video
text
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
Supported
Supported options
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
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
10
3
Provider endpoints
10
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.