Compare

Gemma-2b-IT-Lora vs Gemma-7b-IT-Lora

Pricing per million tokens, context window, capabilities — pulled from each provider's public docs. All 2 are available via the same AIgateway OpenAI-compatible endpoint; flip the model string to switch.

Search2/4
Gemma-2b-IT-Lora
google/gemma-2b-it-lora
Gemma-7b-IT-Lora
google/gemma-7b-it-lora
Provider
Google
Google
Family
Gemma
Gemma
Modality
text
text
Context window
4,096 tok
4,096 tok
Max output
4,096 tok
4,096 tok
Released
2024-04-02
2024-04-02
License
Open-weight
Open-weight
Input price
$0.030 /1M
$0.080 /1M
Output price
$0.060 /1M
$0.160 /1M
Tools
Streaming
yes
yes
Vision
JSON mode
Reasoning
Prompt caching
Batch API
Try it
Open in playground →
Open in playground →
Gemma-2b-IT-Lora
google/gemma-2b-it-lora
Full spec →

This is a Gemma-2B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows
Gemma-7b-IT-Lora
google/gemma-7b-it-lora
Full spec →

This is a Gemma-7B base model that Cloudflare dedicates for inference with LoRA adapters. Gemma is a family of lightweight, state-of-the-art open models from Google, built from the same research and technology used to create the Gemini models.

Strengths
  • General-purpose chat
  • Long context
  • Tool use
Use cases
ChatbotsContent generationAgentic workflows

Compare with another

Gemma-Sea-Lion-V4-27b-IT vs Gemma-2b-IT-Lora
aisingapore/gemma-sea-lion-v4-27b-it · google/gemma-2b-it-lora
Gemma-4-26b-A4b-IT vs Gemma-2b-IT-Lora
google/gemma-4-26b-a4b-it · google/gemma-2b-it-lora
Embeddinggemma-300m vs Gemma-2b-IT-Lora
google/embeddinggemma-300m · google/gemma-2b-it-lora
Gemma-Sea-Lion-V4-27b-IT vs Gemma-7b-IT-Lora
aisingapore/gemma-sea-lion-v4-27b-it · google/gemma-7b-it-lora
Gemma-4-26b-A4b-IT vs Gemma-7b-IT-Lora
google/gemma-4-26b-a4b-it · google/gemma-7b-it-lora
Embeddinggemma-300m vs Gemma-7b-IT-Lora
google/embeddinggemma-300m · google/gemma-7b-it-lora
SWITCH BETWEEN THEM

One key, all 2, one line different.

from openai import OpenAI

client = OpenAI(
    base_url="https://api.aigateway.sh/v1",
    api_key="sk-aig-...",
)

# Gemma-2b-IT-Lora
client.chat.completions.create(
    model="google/gemma-2b-it-lora",
    messages=[{"role":"user","content":"hello"}],
)

# Gemma-7b-IT-Lora
client.chat.completions.create(
    model="google/gemma-7b-it-lora",
    messages=[{"role":"user","content":"hello"}],
)
Get an AIgateway keyRun an eval on these →