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apac.amazon.nova-2-lite-v1:0

bedrock_converse · chat model

apac.amazon.nova-2-lite-v1:0 is listed here as a chat model from bedrock_converse. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.3300 / 1M tokens
Output
$2.7500 / 1M tokens
Cached input
$0.0825 / 1M tokens
Context
64.0K
Compare similar models Open a side-by-side table using this route and the closest match from the current catalog. Estimate workload cost Use token counts, request volume, and cache assumptions to check a realistic monthly bill. Explore benchmarks Review benchmark rows by family and benchmark label without cross-benchmark ranking. Check data sources See how pricing data is generated and what still needs provider verification.

Quick read

Best for

Use this page when you need a fast view of cost, context size, and supported features before testing the model in your own workload.

Things to verify

Always check the provider page for discounts, cache pricing, region rules, and any model limits that may not appear in public metadata.

Pricing

Item Price
Input
$0.3300 / 1M tokens
Output
$2.7500 / 1M tokens
Cached input
$0.0825 / 1M tokens
Embedding
$0.3300 / 1M tokens

Token limits

Context window
64.0K
Max input tokens
1.0M
Max output tokens
64.0K
Max tokens
64.0K

Capabilities

Capability Supported
Vision ✅
Function calling ✅
Parallel function calling —
Tool choice —
Prompt caching ✅
Reasoning ✅
Response schema ✅
System messages —
Audio input —
Audio output —
Web search —
PDF input ✅
Video input ✅

Sources

Source links
Pricing data LiteLLM model cost map
Synced at 2026-05-28

Similar models

This list is ranked by overall similarity. Use filters to emphasize the lens that matters most for the replacement you are making.

Comparing from
Model Cost Input shape Features Context Why it is close
apac.amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3300 / 1M tokens
Out $2.7500 / 1M tokens
pdf
Output: unknown
VisionFunction callingPrompt cachingReasoning
64.0K
Current model
Reference row

Overall blends cost, modality overlap, capabilities, and context.

Model Cost Input shape Features Context Why it is close
eu.amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3300 / 1M tokens
Out $2.7500 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 60%
us.amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3300 / 1M tokens
Out $2.7500 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 60%
amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 58%
global.amazon.nova-2-lite-v1:0
bedrock_converse
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 58%
gemini-3-flash-preview
Vertex AI
In $0.5000 / 1M tokens
Out $3.0000 / 1M tokens
pdf
Output: text
VisionFunction callingPrompt cachingReasoning
65.5K
Partial I/O overlap
Overall 47%
gemini-2.5-flash
vertex_ai-language-models
In $0.3000 / 1M tokens
Out $2.5000 / 1M tokens
pdf audioimage
Output: text
VisionFunction callingPrompt cachingReasoning
65.5K
Partial I/O overlap
Overall 45%
amazon.nova-2-pro-preview-20251202-v1:0
bedrock_converse
In $2.1875 / 1M tokens
Out $17.5000 / 1M tokens
pdf
Output: unknown
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 43%
apac.amazon.nova-2-pro-preview-20251202-v1:0
bedrock_converse
In $2.1875 / 1M tokens
Out $17.5000 / 1M tokens
pdf
Output: unknown
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 43%
eu.amazon.nova-2-pro-preview-20251202-v1:0
bedrock_converse
In $2.1875 / 1M tokens
Out $17.5000 / 1M tokens
pdf
Output: unknown
VisionFunction callingPrompt cachingReasoning
64.0K
Same provider
Overall 43%
Kimi-K2.5
Together AI
In $0.5000 / 1M tokens
Out $2.8000 / 1M tokens
pdf imagetext
Output: text
VisionFunction callingReasoning
256.0K
Partial I/O overlap
Overall 30%
Qwen3-235B-A22B-Thinking-2507
deepinfra
In $0.3000 / 1M tokens
Out $2.9000 / 1M tokens
pdf text
Output: text
Function calling
262.1K
Partial I/O overlap
Overall 25%
meta.llama3-8b-instruct-v1:0
Bedrock
In $0.3000 / 1M tokens
Out $2.6500 / 1M tokens
pdf text
Output: text
PDF input
2.0K
Partial I/O overlap
Overall 23%
meta.llama3-8b-instruct-v1:0
Bedrock
In $0.3000 / 1M tokens
Out $2.6500 / 1M tokens
pdf text
Output: text
PDF input
2.0K
Partial I/O overlap
Overall 23%