LLM Pricing
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llama-3.2-3b

vercel_ai_gateway · chat model

llama-3.2-3b is listed here as a chat model from vercel_ai_gateway. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1500 / 1M tokens
Output
$0.1500 / 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
$0.1500 / 1M tokens
Output
$0.1500 / 1M tokens
Embedding
$0.1500 / 1M tokens

Token limits

Context window
8.2K
Max input tokens
128.0K
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
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
llama-3.2-3b
vercel_ai_gateway
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
nova-micro
vercel_ai_gateway
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Same provider
Overall 92%
mistral-small
Mistral
In $0.1000 / 1M tokens
Out $0.3000 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Text covered
Overall 83%
apac.amazon.nova-micro-v1:0
bedrock_converse
In $0.0370 / 1M tokens
Out $0.1480 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Text covered
Overall 82%
amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Text covered
Overall 81%
us.amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Text covered
Overall 81%
eu.amazon.nova-micro-v1:0
bedrock_converse
In $0.0460 / 1M tokens
Out $0.1840 / 1M tokens
text
Output: text
Function callingResponse schema
10.0K
Text covered
Overall 81%
gemma-2-9b
vercel_ai_gateway
In $0.2000 / 1M tokens
Out $0.2000 / 1M tokens
text
Output: text
Function calling
8.2K
Same provider
Overall 76%
firefunction-v2
fireworks_ai
In $0.9000 / 1M tokens
Out $0.9000 / 1M tokens
text
Output: text
Function callingResponse schema
8.2K
Text covered
Overall 75%
llama-3.1-8b
vercel_ai_gateway
In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
text
Output: text
Function callingResponse schema
131.1K
Same provider
Overall 75%
command-a
vercel_ai_gateway
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
text
Output: text
Function callingResponse schema
8.0K
Same provider
Overall 72%
llama-3.2-1b
vercel_ai_gateway
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
8.2K
Same provider
Overall 68%
llama-3.2-11b
vercel_ai_gateway
In $0.1600 / 1M tokens
Out $0.1600 / 1M tokens
text image
Output: text
Function calling
8.2K
Same provider
Overall 68%
Mistral-7B-Instruct-v0.1
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 40%
Missing text
Mixtral-8x7B-Instruct-v0.1
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Function calling
16.4K
Partial I/O overlap
Overall 40%
Missing text
gemma-7b-it
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 35%
Missing text
Meta-Llama-3-8B-Instruct
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 35%
Missing text
zephyr-7b-beta
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Low overlap
16.4K
Partial I/O overlap
Overall 28%
Missing text
Llama-2-7b-chat-hf
anyscale
In $0.1500 / 1M tokens
Out $0.1500 / 1M tokens
text
Output: unknown
Low overlap
4.1K
Partial I/O overlap
Overall 28%
Missing text