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Gemma 4 31B (batch) vs Gemini 3.1 Flash Lite (batch)

Both sit behind the same key and the same code on uttapen — the only thing that changes is the model string, so you can run each of them against your own workload without touching anything else. On cost, Gemini 3.1 Flash Lite (batch) comes out about 1.6× cheaper.

FeatureGemma 4 31B (batch)Gemini 3.1 Flash Lite (batch)
ProviderGoogleGoogle
Model idgoogle/gemma-4-31b-it:batchgoogle/gemini-3.1-flash-lite:batch
Context262,144 tokens1,048,576 tokens
Max output235,929 tokens65,536 tokens
Input / 1M tokens113,149 toman36,266 toman
Output / 1M tokens281,421 toman217,594 toman
≈ one 1,000-word request513 toman330 toman
Input cachingNo3,627 toman / 1M
Image inputYesYes
File inputNoYes
Tool callingYesYes
JSON outputYesYes
Reasoning modeYesYes

Which one for what?

Gemma 4 31B (batch)

  • Multi-step problems, maths, and tracking down a bug
  • Whole documents or a codebase in a single request
  • Reading screenshots, invoices, and scanned forms
  • Agents that call your own APIs and database
513 toman per 1,000 words · Model page

Gemini 3.1 Flash Lite (batch)

  • Multi-step problems, maths, and tracking down a bug
  • Whole documents or a codebase in a single request
  • Reading screenshots, invoices, and scanned forms
  • Agents that call your own APIs and database
  • High-volume work where cost per call decides
330 toman per 1,000 words · Model page

Run both with the same code

Swap the model value between the two ids and send the same request twice; what each answer cost comes back in the X-Uttapen-Cost-Toman header.

curl https://api.uttapen.ir/v1/chat/completions \
  -H "Authorization: Bearer sk-up-…" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "google/gemma-4-31b-it:batch",
    "messages": [{"role": "user", "content": "Introduce yourself in one sentence."}],
    "stream": true
  }'

model = "google/gemini-3.1-flash-lite:batch"

More comparisons: all pairs · model rankings · full catalogue

base_url = https://api.uttapen.ir/v1