Firefunction V2
Firefunction V2 is worth evaluating for general LLM work when its provider route and context window match the workload.
Use it for
- Teams evaluating general LLM work
- Workloads that can use a 32k context window
- Buyers comparing 1 tracked provider route
Do not use it for
- Vision or document-understanding workloads
- Strict JSON or tool-calling flows
- Family
- Firefunction
- Released
- 2024-01-29
- Context
- 32k
- Parameters
- 70B
- Architecture
- Decoder Only
- Specialization
- general
- Training
- finetuned
Cheapest of 1 route · Fireworks AI
About
Firefunction-v2, developed by Fireworks AI, is an open-source function-calling large language model built on the Llama 3-70b base model. It excels in conversational and instruction-following tasks, with enhanced capabilities for function calling. Notably, it supports parallel function calling, handling up to 30 function specifications, and smoothly integrates chat with function execution. It rivals GPT-4o in function-calling performance while being more cost-effective and offering quicker responses. Its 8k context window and OpenAI-compatible API make it easily integratable into diverse applications 123.
Firefunction V2 is a model in the Firefunction family. The structured metadata tracks a 32k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.9 input and $0.9 output per 1M tokens. No headline benchmark score is tracked for Firefunction V2 yet.
Top use-case fit
No primary decision-task fit is mapped for this model yet.
Provider price ladder
Compare API pricing across 1 providers for input and output tokens, batch, and cached reads when available.
| Provider | Input / 1M | Output / 1M | Route |
|---|---|---|---|
| Fireworks AI | $0.900 | $0.900 | Serverless |
Capabilities
No model capability flags are currently sourced.
Benchmark peer barsfor Coding
No task-mapped benchmark peers are available for this model yet.
Migration checks
No linked migration route is available for this model yet.