Fireworks AI - Cline

Fireworks AI is a leading infrastructure platform for generative AI that focuses on delivering exceptional performance through optimized inference capabilities. With up to 4x faster inference speeds than alternative platforms and support for over 40 different AI models, Fireworks eliminates the operational complexity of running AI models at scale.

Website: https://fireworks.ai/

Getting an API Key

Sign Up/Sign In: Go to Fireworks AI and create an account or sign in.
Navigate to API Keys: Access the API keys section in your dashboard.
Create a Key: Generate a new API key. Give it a descriptive name (e.g., "Cline").
Copy the Key: Copy the API key immediately. Store it securely.

Supported Models

Cline supports the following Fireworks AI models:

accounts/fireworks/models/kimi-k2p5 (Default) - Kimi K2.5 flagship agentic model with multimodal support (262K context, prompt caching, $0.60/$3.00 per 1M tokens)
accounts/fireworks/models/qwen3-vl-30b-a3b-thinking - Qwen3-VL reasoning model with image support (262K context, prompt caching, $0.15/$0.60 per 1M tokens)
accounts/fireworks/models/qwen3-vl-30b-a3b-instruct - Qwen3-VL instruct model with image support (262K context, $0.15/$0.60 per 1M tokens)
accounts/fireworks/models/deepseek-v3p2 - DeepSeek V3.2 model (164K context, prompt caching, $0.56/$1.68 per 1M tokens)
accounts/fireworks/models/glm-4p7 - GLM-4.7 model (203K context, prompt caching, $0.60/$2.20 per 1M tokens)
accounts/fireworks/models/glm-5 - GLM-5 model (203K context, prompt caching, $1.00/$3.20 per 1M tokens)
accounts/fireworks/models/minimax-m2p5 - MiniMax M2.5 model (197K context, prompt caching, $0.30/$1.20 per 1M tokens)
accounts/fireworks/models/minimax-m2p1 - MiniMax M2.1 model (197K context, prompt caching, $0.30/$1.20 per 1M tokens)
accounts/fireworks/models/gpt-oss-120b - OpenAI gpt-oss-120b model (131K context, prompt caching, $0.15/$0.60 per 1M tokens)

Configuration in Cline

Open Cline Settings: Click the settings icon (⚙️) in the Cline panel.
Select Provider: Choose "Fireworks" from the "API Provider" dropdown.
Enter API Key: Paste your Fireworks API key into the "Fireworks API Key" field.
Enter Model ID: Specify the model you want to use (e.g., "accounts/fireworks/models/kimi-k2p5").
Configure Tokens: Optionally set max completion tokens and context window size.

Fireworks AI's Performance Focus

Fireworks AI's competitive advantages center on performance optimization and developer experience:

Lightning-Fast Inference

Up to 4x faster inference than alternative platforms
250% higher throughput compared to open source inference engines
50% faster speed with significantly reduced latency
6x lower cost than HuggingFace Endpoints with 2.5x generation speed

Advanced Optimization Technology

Custom kernels and inference optimizations increase throughput per GPU
Multi-LoRA architecture enables efficient resource sharing
Hundreds of fine-tuned model variants can run on shared base model infrastructure
Asset-light model focuses on optimization software rather than expensive GPU ownership

Comprehensive Model Support

40+ different AI models curated and optimized for performance
Multiple GPU types supported: A100, H100, H200, B200, AMD MI300X
Pay-per-GPU-second billing with no extra charges for start-up times
OpenAI API compatibility for seamless integration

Pricing Structure

Fireworks AI uses a usage-based pricing model with competitive rates:

Text and Vision Models (2025)

Parameter Count	Price per 1M Input Tokens
Less than 4B parameters	$0.10
4B - 16B parameters	$0.20
More than 16B parameters	$0.90
MoE 0B - 56B parameters	$0.50

Fine-Tuning Services

Base Model Size	Price per 1M Training Tokens
Up to 16B parameters	$0.50
16.1B - 80B parameters	$3.00
DeepSeek R1 / V3	$10.00

Dedicated Deployments

GPU Type	Price per Hour
A100 80GB	$2.90
H100 80GB	$5.80
H200 141GB	$6.99
B200 180GB	$11.99
AMD MI300X	$4.99

Special Features

Fine-Tuning Capabilities

Fireworks offers sophisticated fine-tuning services accessible through CLI interface, supporting JSON-formatted data from databases like MongoDB Atlas. Fine-tuned models cost the same as base models for inference.

Developer Experience

Browser playground for direct model interaction
REST API with OpenAI compatibility
Comprehensive cookbook with ready-to-use recipes
Multiple deployment options from serverless to dedicated GPUs

Enterprise Features

HIPAA and SOC 2 Type II compliance for regulated industries
Self-serve onboarding for developers
Enterprise sales for larger deployments
Post-paid billing options and Business tier

Reasoning Model Support

Advanced support for reasoning models with <think> tag processing and reasoning content extraction, making complex multi-step reasoning practical for real-time applications.

Performance Advantages

Fireworks AI's optimization delivers measurable improvements:

250% higher throughput vs open source engines
50% faster speed with reduced latency
6x cost reduction compared to alternatives
2.5x generation speed improvement per request

Tips and Notes

Model Selection: Choose models based on your specific use case - smaller models for speed, larger models for complex reasoning.
Performance Focus: Fireworks excels at making AI inference fast and cost-effective through advanced optimizations.
Fine-Tuning: Leverage fine-tuning capabilities to improve model accuracy with your proprietary data.
Compliance: HIPAA and SOC 2 Type II compliance enables use in regulated industries.
Pricing Model: Usage-based pricing scales with your success rather than traditional seat-based models.
Developer Resources: Extensive documentation and cookbook recipes accelerate implementation.
GPU Options: Multiple GPU types available for dedicated deployments based on performance needs.