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nvidia.nemotron-nano-3-30b

bedrock_converse · chat model

nvidia.nemotron-nano-3-30b 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
$0.0600 / 1M tokens
Output
$0.2400 / 1M tokens
Cached input
N/A
Context
8.2K
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 benchmark family Review source-backed benchmark rows for the attached base model family. 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 $0.0600 / 1M tokens
Output $0.2400 / 1M tokens
Embedding $0.0600 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
262.1K
Max output tokens
8.2K
Max tokens
8.2K

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 —

Benchmarks

Most benchmark rows are attached to the base model family rather than this provider route. Open benchmark explorer

Benchmark Score Metric Scope Checked Source
MT-Bench 8.22 total Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
IFEval 79.9 Prompt-Strict Acc Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
IFEval 86.1 Instruction-Strict Acc Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
MMLU 78.7 0-shot Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
GSM8K 92.3 0-shot Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
HumanEval 73.2 0-shot Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
MBPP 75.4 0-shot Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
Arena Hard 54.2 Arena Hard Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
AlpacaEval 2.0 LC 41.5 Length Controlled Base model: Nemotron (Nemotron-4-340B-Instruct) 2026-05-31 Link
AIME 2025 76.25% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
MATH-500 97.75% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
GPQA 64.48% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
LCB 70.79% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
BFCL 66.98% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
IFEval Prompt 84.70% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link
IFEval Instruction 89.81% Reasoning On Base model: Nemotron (NVIDIA-Nemotron-Nano-12B-v2) 2026-05-31 Link

Sources

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

Docs

Official docs

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
nvidia.nemotron-nano-3-30b
bedrock_converse
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
ernie-4.5-21B-a3b
novita
In $0.0700 / 1M tokens
Out $0.2800 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.0K
Text covered
Overall 91%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 84%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 84%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 84%
minimax.minimax-m2.1
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 84%
minimax.minimax-m2.5
Bedrock
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 84%
minimax.minimax-m2.1
bedrock_converse
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 84%
minimax.minimax-m2.5
bedrock_converse
In $0.3000 / 1M tokens
Out $1.2000 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 84%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
minimax.minimax-m2.1
Bedrock
In $0.3600 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
nvidia.nemotron-nano-9b-v2
bedrock_converse
In $0.0600 / 1M tokens
Out $0.2300 / 1M tokens
text
Output: text
System messages
8.2K
Same provider
Overall 83%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
qwen.qwen3-coder-next
Bedrock
In $0.6000 / 1M tokens
Out $1.4400 / 1M tokens
text
Output: text
Function callingTool choiceSystem messages
8.2K
Text covered
Overall 83%
Qwen3-14B
deepinfra
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text
Output: text
Function callingTool choice
41.0K
Text covered
Overall 80%
eu.amazon.nova-micro-v1:0
bedrock_converse
In $0.0460 / 1M tokens
Out $0.1840 / 1M tokens
text
Output: text
Function calling
10.0K
Same provider
Overall 73%
mistral.ministral-3-14b-instruct
bedrock_converse
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text image
Output: text
Function callingSystem messages
8.2K
Same provider
Overall 72%
mistral.devstral-2-123b
bedrock_converse
In $0.4000 / 1M tokens
Out $2.0000 / 1M tokens
text image
Output: text
Function callingTool choiceSystem messages
8.2K
Same provider
Overall 71%
nova-lite
vercel_ai_gateway
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text imagevideo
Output: text
Function calling
8.2K
Text covered
Overall 64%
amazon.nova-lite-v1:0
bedrock_converse
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text imagepdf
Output: text
Function calling
10.0K
Same provider
Overall 60%
us.amazon.nova-lite-v1:0
bedrock_converse
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text imagepdf
Output: text
Function calling
10.0K
Same provider
Overall 60%
nova-lite-v1
amazon_nova
In $0.0600 / 1M tokens
Out $0.2400 / 1M tokens
text pdf
Output: unknown
Function calling
10.0K
Partial I/O overlap
Overall 36%
Missing text