Decision support
Glimpse vs Pareto 26.10
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 16, 2026
October 15, 2026
Context window
262K
1M
Native context
—
—
Max output tokens
256,000
131,072
Knowledge cutoff
—
—
Open weights
Unknown
Unknown
Parameter count
—
—
API pricing · USD per 1M tokens
Input
$0.60
$0.80
Output
$3.00
$3.20
Cached input
$0.06
$0.03
Cache write
—
—
Capabilities and modalities
Input modalities
text, image, video
text, image
Output modalities
text
text
Tool calling
Supported
Supported
Reasoning option
Supported
—
Supported options
frequency_penalty, include_reasoning, logit_bias, logprobs, max_tokens, min_p, presence_penalty, reasoning, repetition_penalty, response_format, stop, structured_outputs, temperature, tool_choice, tools, top_k, top_logprobs, top_p
max_tokens, temperature, tool_choice, tools, top_p
Capabilities
—
—
Architecture and availability
Architecture
—
—
Model families
—
—
Tokenizer
Other
Other
Instruction format
—
—
License
—
—
Providers
1
1
Provider endpoints
1
1
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.