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AI models
Unspecified

gigachat/GigaChat-2

AI model

API mode
Chat*
Maximum output
8,192 tokens*

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

gigachat/GigaChat-2

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Maximum input
128,000 tokens*
Maximum output
8,192 tokens*
Tool calling
Yes*
API mode
Chat*
System messages
Yes*

System configuration

Detailed specifications

Specifications · 9 fields
input cost per token
0.0*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
litellm provider
gigachat*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max input tokens
128,000*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max output tokens
8,192*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
max tokens
8,192*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
mode
chat*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
output cost per token
0.0*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports function calling
Yes*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*
supports system messages
Yes*
Scope and conditions
native_context
provider
gigachat*
mode
chat*
full_native_model_id
gigachat/GigaChat-2*
pricing_scope
Literal source field names and values retained; provider, region, cache/batch/threshold conditions and per-unit meaning must be checked. max_tokens is not automatically a context limit.*

* Provisional data