LLM Reference

OctoML Gemma-2B-it

Released
2024-02-21
Last refreshed
2026-05-19
Status
Researched 30d ago
Open weightsCommercial use: conditional

OctoML Gemma-2B-it 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
Gemma
Released
2024-02-21
Context
8k
Parameters
2B
Architecture
Decoder Only
Specialization
general
Openness
Open weights
License
GemmaCommercial use: conditional
Created by

Pioneering artificial intelligence research.

London, United Kingdom
Founded 2014
Website
Pricing
Output / 1M
$0.150
Input / 1M
$0.100

Cheapest of 1 route · OctoML (Deprecated)

About

OctoML Gemma-2B-it is Google DeepMind's Gemma model. It offers an 8K-token context window with weights openly available for self-hosting.

OctoML Gemma-2B-it is an open-weight model in the Gemma family. The structured metadata tracks a 8k-token context window. This page tracks provider routes through OctoML (Deprecated), with the cheapest tracked route listed at $0.1 input and $0.15 output per 1M tokens. No headline benchmark score is tracked for OctoML Gemma-2B-it 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
OctoML (Deprecated)$0.100$0.150
Serverless

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.