LLM Reference

CodeGemma 7B Instruct

Released
2024-04-09
Last refreshed
2026-05-19
Status
Researched 24d ago
DeprecatedOpen WeightsCommercial use with conditions

CodeGemma 7B Instruct is a legacy integration reference; keep it only while you identify a current replacement.

Use it for

  • Teams maintaining an existing integration
  • Workloads that can use a 8k context window
  • Buyers comparing 2 tracked provider routes

Do not use it for

  • New production launches
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Family
CodeGemma
Released
2024-04-09
Context
8k
Parameters
7B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
GemmaCommercial use with conditions
Training
finetuned
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
$0.200
Input / 1M
$0.200

Cheapest of 2 routes · Fireworks AI

About

CodeGemma 7B Instruct is Google DeepMind's CodeGemma model. It is deprecated (originally released 2024-04-09); use it only for reproducing earlier results or evaluating drift over time.

CodeGemma 7B Instruct is an open-weight model in the CodeGemma family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through NVIDIA NIM and Fireworks AI, with the cheapest tracked route listed at $0.2 input and $0.2 output per 1M tokens. No headline benchmark score is tracked for CodeGemma 7B Instruct yet.

Top use-case fit

No primary decision-task fit is mapped for this model yet.

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.