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AI models
sarvam

Sarvam-M

AI model Released

API mode
Chat*
Context window
32,768 tokens
Maximum output
32,768 tokens
Open weights
Yes

No matched benchmark results are available for this entry yet.

Run it locally

Inference · memory estimate

Sarvam-M

Not enough verified architecture information for a reliable VRAM estimate.

Capabilities

Context window
32,768 tokens
Maximum input
8,192 tokens*
Maximum output
32,768 tokens
Reasoning
Yes
Tool calling
No
Open weights
Yes
API mode
Chat*
Model license
Apache 2.0

Input modalities

  • text

Output modalities

  • text

System configuration

Detailed specifications

Specifications · 11 fields
cache creation input token cost
0*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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.*
cache creation input token cost above 1hr
0*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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.*
cache read input token cost
0*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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.*
input cost per token
0*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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
sarvam*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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
8,192*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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
32,000*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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
32,000*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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 reasoning
Yes*
Scope and conditions
native_context
provider
sarvam*
mode
chat*
full_native_model_id
sarvam/sarvam-m*
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