Decision support
Ling 3.0 Flash Sante vs Schematron V2 Turbo
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
September 4, 2026
April 16, 2026
Context window
262K
128K
Native context
—
—
Max output tokens
32,768
8,192
Knowledge cutoff
—
—
Open weights
Closed
Closed
Parameter count
—
—
API pricing · USD per 1M tokens
Input
$0.042
$0.03
Output
$0.1232
$0.15
Cached input
$0.0084
$0.03
Cache write
—
—
Capabilities and modalities
Input modalities
text
text
Output modalities
text
text
Tool calling
Supported
—
Reasoning option
Supported
—
Supported options
frequency_penalty, include_reasoning, logprobs, max_tokens, presence_penalty, reasoning, repetition_penalty, seed, stop, temperature, tool_choice, tools, top_k, top_logprobs, top_p
frequency_penalty, logit_bias, max_tokens, min_p, presence_penalty, repetition_penalty, response_format, seed, stop, structured_outputs, temperature, top_k, top_p
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
1
1
Provider endpoints
1
2
Ollama variants
0
0
Metadata source
ai-research
ai-research
A dash means the field is not reported. Provider-specific performance and pricing may differ.