LLM Reference

RecurrentGemma 2B

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

RecurrentGemma 2B 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 4k context window
  • Buyers comparing 1 tracked provider route

Do not use it for

  • New production launches
  • Vision or document-understanding workloads
  • Strict JSON or tool-calling flows
Specifications
Released
2024-04-09
Context
4k
Parameters
2B
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
-
Input / 1M
-

Cheapest of 1 route · NVIDIA NIM

About

RecurrentGemma 2B, developed by Google, leverages a novel Griffin architecture that integrates linear recurrences with local attention mechanisms to adeptly manage long sequences while minimizing memory usage. It excels in text generation tasks, such as question answering, summarization, and reasoning, by efficiently handling complex prompts and instructions. Available in both pre-trained and instruction-tuned versions, RecurrentGemma enhances usability in interactive applications like chatbots. Its open-source nature fosters transparency, enabling researchers to explore and innovate further. Performance-wise, it stands out with competitive results on benchmarks like HellaSwag and PIQA, marking a notable leap in natural language processing capabilities.

RecurrentGemma 2B is an open-weight model in the RecurrentGemma family. The structured metadata tracks a 4k-token context window. This page tracks provider routes through NVIDIA NIM. No headline benchmark score is tracked for RecurrentGemma 2B 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
NVIDIA NIM--
ProvisionedPartial

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.