LLM Pricing
← All models

eu.meta.llama3-2-3b-instruct-v1:0

Bedrock · chat model

eu.meta.llama3-2-3b-instruct-v1:0 is listed here as a chat model from Bedrock. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1900 / 1M tokens
Output
$0.1900 / 1M tokens
Cached input
N/A
Context
4.1K
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
$0.1900 / 1M tokens
Output
$0.1900 / 1M tokens
Embedding
$0.1900 / 1M tokens

Token limits

Context window
4.1K
Max input tokens
128.0K
Max output tokens
4.1K
Max tokens
4.1K

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
MMLU 32.2 macro_avg/acc_char Base model: Llama 3.2 (Llama 3.2 1B) 2026-05-31 Link
ARC-Challenge 32.8 acc_char Base model: Llama 3.2 (Llama 3.2 1B) 2026-05-31 Link
SQuAD 49.2 em Base model: Llama 3.2 (Llama 3.2 1B) 2026-05-31 Link
MMLU 58 macro_avg/acc_char Base model: Llama 3.2 (Llama 3.2 3B) 2026-05-31 Link
ARC-Challenge 69.1 acc_char Base model: Llama 3.2 (Llama 3.2 3B) 2026-05-31 Link
SQuAD 67.7 em Base model: Llama 3.2 (Llama 3.2 3B) 2026-05-31 Link
MMLU 49.3 macro_avg/acc Base model: Llama 3.2 (Llama 3.2 1B bf16) 2026-05-31 Link
IFEval 59.5 Avg(Prompt/Instruction acc Loose/Strict) Base model: Llama 3.2 (Llama 3.2 1B bf16) 2026-05-31 Link
MMLU 63.4 macro_avg/acc Base model: Llama 3.2 (Llama 3.2 3B bf16) 2026-05-31 Link
IFEval 77.4 Avg(Prompt/Instruction acc Loose/Strict) Base model: Llama 3.2 (Llama 3.2 3B bf16) 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
eu.meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1900 / 1M tokens
Out $0.1900 / 1M tokens
text
Output: text
Function calling
4.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
mistral-nemo
azure_ai
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 96%
meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 96%
us.meta.llama3-2-3b-instruct-v1:0
Bedrock
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 96%
eu.meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1300 / 1M tokens
Out $0.1300 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 94%
meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 91%
us.meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Function calling
4.1K
Same provider
Overall 91%
Phi-4-mini-instruct
azure_ai
In $0.0750 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 91%
Phi-4-mini-reasoning
azure_ai
In $0.0800 / 1M tokens
Out $0.3200 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 90%
meta.llama3-1-8b-instruct-v1:0
Bedrock
In $0.2200 / 1M tokens
Out $0.2200 / 1M tokens
text
Output: text
Function calling
2.0K
Same provider
Overall 90%
us.meta.llama3-1-8b-instruct-v1:0
Bedrock
In $0.2200 / 1M tokens
Out $0.2200 / 1M tokens
text
Output: text
Function calling
2.0K
Same provider
Overall 90%
command-r-plus
Azure
In $3.0000 / 1M tokens
Out $15.0000 / 1M tokens
text
Output: text
Function calling
4.1K
Text covered
Overall 81%
mistral.mistral-large-2402-v1:0
Bedrock
In $8.0000 / 1M tokens
Out $24.0000 / 1M tokens
text
Output: text
Function calling
8.2K
Same provider
Overall 73%
mistral.mistral-large-2402-v1:0
Bedrock
In $10.4000 / 1M tokens
Out $31.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Same provider
Overall 73%
llama-v3p2-11b-vision-instruct
fireworks_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text image
Output: text
Low overlap
16.4K
Text covered
Overall 51%
DeepSeek-V3
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: unknown
Function calling
32.8K
Partial I/O overlap
Overall 27%
Missing text
llama-guard-4-12b
Groq
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 27%
Missing text
QwQ-32B
hyperbolic
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: unknown
Function calling
131.1K
Partial I/O overlap
Overall 26%
Missing text
llama3-8b-instruct
gradient_ai
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: unknown
Low overlap
512
Partial I/O overlap
Overall 21%
Missing text
mamba-codestral-7B-v0.1
ovhcloud
In $0.1900 / 1M tokens
Out $0.1900 / 1M tokens
text
Output: unknown
Low overlap
256.0K
Partial I/O overlap
Overall 20%
Missing text