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Meta-Llama-3.2-1B-Instruct

sambanova · chat model

Meta-Llama-3.2-1B-Instruct is listed here as a chat model from sambanova. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.0400 / 1M tokens
Output
$0.0800 / 1M tokens
Cached input
N/A
Context
16.4K
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
$0.0400 / 1M tokens
Output
$0.0800 / 1M tokens
Embedding
$0.0400 / 1M tokens

Token limits

Context window
16.4K
Max input tokens
16.4K
Max output tokens
16.4K
Max tokens
16.4K

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

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
Meta-Llama-3.2-1B-Instruct
sambanova
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
No public capabilities
16.4K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
mistral-nemo
novita
In $0.0400 / 1M tokens
Out $0.1700 / 1M tokens
text
Output: text
Low overlap
16.0K
Partial I/O overlap
Overall 29%
google.gemma-3-4b-it
bedrock_converse
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
imagetext
Output: image, text
Low overlap
8.2K
Partial I/O overlap
Overall 28%
llama-3.2-3b
llamagate
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 28%
llama-v3p1-8b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 27%
llama-v3p2-1b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 27%
llama-v3p2-3b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Partial I/O overlap
Overall 27%
Mistral-Small-24B-Instruct-2501
deepinfra
In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
text
Output: text
Low overlap
32.8K
Partial I/O overlap
Overall 26%
llama-3.1-8b-instant
Groq
In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 26%
gemma-7b-it
Groq
In $0.0500 / 1M tokens
Out $0.0800 / 1M tokens
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 26%
Meta-Llama-3.1-8B-Instruct
sambanova
In $0.1000 / 1M tokens
Out $0.2000 / 1M tokens
Output: unknown
Low overlap
16.4K
Same provider
Overall 23%
gemma-3-4b-it
deepinfra
In $0.0400 / 1M tokens
Out $0.0800 / 1M tokens
imagetext
Output: text
Low overlap
131.1K
Partial I/O overlap
Overall 22%
Meta-Llama-Guard-3-8B
sambanova
In $0.3000 / 1M tokens
Out $0.3000 / 1M tokens
Output: unknown
Low overlap
16.4K
Same provider
Overall 19%
QwQ-32B
sambanova
In $0.5000 / 1M tokens
Out $1.0000 / 1M tokens
Output: unknown
Low overlap
16.4K
Same provider
Overall 17%
Meta-Llama-3.1-405B-Instruct
sambanova
In $5.0000 / 1M tokens
Out $10.0000 / 1M tokens
Output: unknown
Low overlap
16.4K
Same provider
Overall 15%
Meta-Llama-3.2-3B-Instruct
sambanova
In $0.0800 / 1M tokens
Out $0.1600 / 1M tokens
Output: unknown
Low overlap
4.1K
Same provider
Overall 14%
Llama-4-Scout-17B-16E-Instruct
sambanova
In $0.4000 / 1M tokens
Out $0.7000 / 1M tokens
Output: unknown
Low overlap
8.2K
Same provider
Overall 10%
us.writer.palmyra-x4-v1:0
bedrock_converse
In $2.5000 / 1M tokens
Out $10.0000 / 1M tokens
pdftext
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 8%
ai21.j2-mid-v1
Bedrock
In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 8%
ai21.j2-ultra-v1
Bedrock
In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
Low overlap
8.2K
Partial I/O overlap
Overall 8%
ai21.jamba-instruct-v1:0
Bedrock
In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Low overlap
4.1K
Partial I/O overlap
Overall 6%
ai21.jamba-1-5-mini-v1:0
Bedrock
In $0.2000 / 1M tokens
Out $0.4000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 5%
ai21.jamba-1-5-large-v1:0
Bedrock
In $2.0000 / 1M tokens
Out $8.0000 / 1M tokens
text
Output: text
Low overlap
256.0K
Partial I/O overlap
Overall 1%