LLM Pricing
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llama-v3p2-1b

fireworks_ai · chat model

llama-v3p2-1b is listed here as a chat model from fireworks_ai. This page shows simple API pricing, token limits, and capability flags so you can compare it with similar options.

Input
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Cached input
N/A
Context
131.1K
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
$0.1000 / 1M tokens
Output
$0.1000 / 1M tokens
Embedding
$0.1000 / 1M tokens

Token limits

Context window
131.1K
Max input tokens
131.1K
Max output tokens
131.1K
Max tokens
131.1K

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
llama-v3p2-1b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
No public capabilities
131.1K
Current model
Reference row

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

Model Cost Input shape Features Context Why it is close
cogito-v1-preview-llama-3b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
deepseek-r1-distill-qwen-1p5b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
llama-guard-3-1b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
llama-v3p2-3b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
phi-3-mini-128k-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
qwen3-1p7b
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
131.1K
Same provider
Overall 75%
ministral-3b-2512
OpenRouter
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text image
Output: text
Low overlap
131.1K
Text covered
Overall 63%
llama-v3p1-8b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Same provider
Overall 62%
llama-v3p2-1b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Same provider
Overall 62%
llama-v3p2-3b-instruct
fireworks_ai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
16.4K
Same provider
Overall 62%
meta.llama3-2-1b-instruct-v1:0
Bedrock
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: text
Low overlap
4.1K
Text covered
Overall 60%
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
Text covered
Overall 55%
amazon.nova-micro-v1:0
bedrock_converse
In $0.0350 / 1M tokens
Out $0.1400 / 1M tokens
text
Output: text
Low overlap
10.0K
Text covered
Overall 52%
mistral.ministral-3-3b-instruct
bedrock_converse
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text image
Output: text
Low overlap
8.2K
Text covered
Overall 49%
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
Text covered
Overall 48%
ai21.jamba-instruct-v1:0
Bedrock
In $0.5000 / 1M tokens
Out $0.7000 / 1M tokens
text
Output: text
Low overlap
4.1K
Text covered
Overall 44%
ai21.j2-mid-v1
Bedrock
In $12.5000 / 1M tokens
Out $12.5000 / 1M tokens
text
Output: text
Low overlap
8.2K
Text covered
Overall 41%
ai21.j2-ultra-v1
Bedrock
In $18.8000 / 1M tokens
Out $18.8000 / 1M tokens
text
Output: text
Low overlap
8.2K
Text covered
Overall 41%
gemma-3-12b-it
crusoe
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: unknown
Low overlap
131.1K
Partial I/O overlap
Overall 35%
Missing text
llama3.1-8b
cerebras
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: unknown
Low overlap
128.0K
Partial I/O overlap
Overall 35%
Missing text
meta-llama-3.1-8b-instruct
friendliai
In $0.1000 / 1M tokens
Out $0.1000 / 1M tokens
text
Output: unknown
Low overlap
8.2K
Partial I/O overlap
Overall 21%
Missing text