GeekRadar / The comparison desk
COMPARE.
AI models
Unspecified

vertex_ai/meta/llama-3.3-70b-instruct-maas

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

vertex_ai/meta/llama-3.3-70b-instruct-maas

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*
Tool choice
Yes*

Input modalities

  • text*

Output modalities

  • text*
  • code*

System configuration

Detailed specifications

Specifications · 14 fields
deprecation date
2026-10-21*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
7.2e-7*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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 batches
3.6e-7*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
7.2e-7*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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 batches
3.6e-7*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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.*
supported modalities
  • text*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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.*
supported output modalities
  • text*
  • code*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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 tool choice
Yes*
Scope and conditions
native_context
provider
vertex_ai-llama_models*
mode
chat*
full_native_model_id
vertex_ai/meta/llama-3.3-70b-instruct-maas*
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