llama-v3p2-1b-instruct
fireworks_ai · chat model
llama-v3p2-1b-instruct 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
16.4K
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
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 |
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-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Response schema | 16.4K | Current model Reference row |
| Model | Cost | Input shape | Features | Context | Why it is close |
|---|---|---|---|---|---|
| llama-v3p1-8b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Response schema | 16.4K | Same provider Overall 100% |
| llama-v3p2-3b-instruct fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Response schema | 16.4K | Same provider Overall 100% |
| deepseek-r1-basic fireworks_ai | In $0.5500 / 1M tokens Out $2.1900 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 79% |
| deepseek-r1 fireworks_ai | In $3.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Response schema | 20.5K | Same provider Overall 77% |
| deepseek-coder-1b-base fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 75% |
| starcoder2-3b fireworks_ai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: text | Low overlap | 16.4K | Same provider Overall 75% |
| deepseek-v3 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 8.2K | Same provider Overall 75% |
| deepseek-coder-v2-instruct fireworks_ai | In $1.2000 / 1M tokens Out $1.2000 / 1M tokens | text
Output: text | Response schema | 65.5K | Same provider Overall 70% |
| deepseek-v3-0324 fireworks_ai | In $0.9000 / 1M tokens Out $0.9000 / 1M tokens | text
Output: text | Response schema | 163.8K | Same provider Overall 69% |
| deepseek-r1-0528 fireworks_ai | In $3.0000 / 1M tokens Out $8.0000 / 1M tokens | text
Output: text | Response schema | 160.0K | Same provider Overall 67% |
| 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 64% |
| llama4-scout-instruct-basic fireworks_ai | In $0.1500 / 1M tokens Out $0.6000 / 1M tokens | text image
Output: text | Response schema | 131.1K | Same provider Overall 63% |
| llama4-maverick-instruct-basic fireworks_ai | In $0.2200 / 1M tokens Out $0.8800 / 1M tokens | text image
Output: text | Response schema | 131.1K | Same provider Overall 60% |
| meta-llama-3.1-8b-instruct friendliai | In $0.1000 / 1M tokens Out $0.1000 / 1M tokens | text
Output: unknown | Response schema | 8.2K | Partial I/O overlap Overall 33% 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 22% Missing text |
| 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 22% Missing text |
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