LLM Reference

Fireworks Zephyr-7B-beta

Released
2023-10-26
Last refreshed
2026-05-19
Status
Researched 30d ago
Open sourceCommercial use: permitted

Fireworks Zephyr-7B-beta 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 8k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
Zephyr
Released
2023-10-26
Context
8k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open source
License
MITOSI-approvedCommercial use: permitted
Created by

Community-driven open-source AI model hub

New York City, New York, United States
Founded 2016
Website
Pricing
Output / 1M
$0.100
Input / 1M
$0.100

Cheapest of 1 route · Fireworks AI

About

Fireworks Zephyr-7B-beta is Hugging Face H4's Zephyr model. It offers an 8K-token context window with weights openly available for self-hosting.

Fireworks Zephyr-7B-beta is an open-source model in the Zephyr family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through Fireworks AI, with the cheapest tracked route listed at $0.1 input and $0.1 output per 1M tokens. No headline benchmark score is tracked for Fireworks Zephyr-7B-beta 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.

ProviderInput / 1MOutput / 1MRoute
Fireworks AI$0.100$0.100
Serverless

Available via routers & gateways(1)

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.