OpenChat 3.5 (0106) on Fireworks AI

Name: OpenChat 3.5 (0106) on Fireworks AI
Brand: Alignment Lab AI
Price: 0.20 USD

OpenChat 3 · Alignment Lab AI

Provisioned

Last refreshed 2026-04-19. Next refresh: weekly.

Why use OpenChat 3.5 (0106) on Fireworks AI?

Fireworks AI offers OpenChat 3.5 (0106) with pay-as-you-go pricing at $0.20/1M input tokens. Fireworks AI offers a generative AI platform as a service, focusing on rapid product iteration and cost-efficient AI deployment.

Compare OpenChat 3.5 (0106) across 4 providers to find the best fit for your use case

Input / 1M

$0.20

Output / 1M

$0.20

Cache

Not sourced

Batch

Not sourced

Setup recipe

Python + curl

Install

pip install openai

Auth

export FIREWORKS_API_KEY=...

Call

import os
from openai import OpenAI
client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],

Model ID

openchat-3.5-0106

Request example

import os
from openai import OpenAI

client = OpenAI(
    api_key=os.environ["FIREWORKS_API_KEY"],
    base_url="https://api.fireworks.ai/inference/v1"
)
response = client.chat.completions.create(
    model="openchat-3.5-0106",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

Fireworks model IDs use "accounts/fireworks/models/{model-name}" format, e.g. "accounts/fireworks/models/llama4-scout-instruct-basic" or "accounts/fireworks/models/deepseek-r1".
The examples expect FIREWORKS_API_KEY; rename it only if your application config maps the new variable.

Compare OpenChat 3.5 (0106) Across Providers

Provider	Input (per 1M)	Output (per 1M)
Lepton AI API	$0.07	$0.07
Cloudflare Workers AI	—	—
Together AI	$0.20	$0.20
Fireworks AI	$0.20	$0.20

Pricing

Type	Price (per 1M)
Input tokens	$0.20
Output tokens	$0.20

Capabilities

Structured Outputs

About OpenChat 3.5 (0106)

OpenChat 3.5 is an open-source large language model renowned for delivering performance on par with ChatGPT despite having just 7 billion parameters compared to ChatGPT's 70 billion. Built on a transformer architecture, this model uses C-RLFT (Constrained Reinforcement Learning from Trajectories) to learn from mixed-quality data without requiring explicit preference labels. It adeptly handles tasks such as text and code generation, including languages like HTML5 and JavaScript, and excels in multi-turn conversations. OpenChat 3.5 is open-source, making it an appealing choice for developers and researchers, and it is optimized to run efficiently on consumer-grade GPUs with 24GB of RAM. The model also includes specialized modes like "Mathematical Reasoning Mode" for task-specific enhancements. However, it is not without its challenges, as it shares common LLM limitations, such as hallucination and potential safety concerns related to biased or harmful outputs.