OpenChat 3.5 (0106) on Fireworks AI

OpenChat 3 · Alignment Lab AI

ProvisionedOpen Source

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 3 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
accounts/fireworks/models/openchat-3p5-0106-7b

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="accounts/fireworks/models/openchat-3p5-0106-7b",
    messages=[{"role": "user", "content": "Hello"}]
)
print(response.choices[0].message.content)

Gotchas

  • Use provider model ID "accounts/fireworks/models/openchat-3p5-0106-7b", not the LLMReference slug "openchat-3.5-0106".
  • 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

ProviderInput (per 1M)Output (per 1M)
Lepton AI API$0.07$0.07
Together AI$0.20$0.20
Fireworks AI$0.20$0.20

Pricing

TypePrice (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.

Get Started

Model Specs

Released2024-01-06
Parameters7B
Context8k
ArchitectureDecoder Only