Gemma 4 31B vs Jina Embeddings v5 Text Nano

Practical read: Gemma 4 31B reads more context. Jina Embeddings v5 Text Nano costs under a tenth as much. One API key runs both.

No card required. Start with 1 million free tokens.

Side by side:

Google: Gemma 4 31B compared with Jina AI: Jina Embeddings v5 Text Nano
Attribute	Gemma 4 31B `google/gemma-4-31b-it`	Jina Embeddings v5 Text Nano `jina-ai/jina-embeddings-v5-text-nano`
Price, 1M in + out	$0.46 Weights & Biases, cheapest route	$0.021 Jina AI, cheapest route
Best for	Long documents	Low cost
Input / output, 1M	$0.11 / $0.36	$0.021 / $0
Cached input	$0.060927/1M to $0.26375/1M	Not published
Context window	262K 262,144 tokens	8K 8,192 tokens
First token, p50	0.78 s via Tinfoil	Measuring
Throughput	250 tok/s via FriendliAI	Measuring
AI IQ	IQ 101 #120 on AI IQ	Unrated
Provider routes	14 with failover	1
Privacy	Confidential E2EE and zero retention route	Varies by provider
Recent route uptime range	100.00%	not enough data
Publisher	Google AI Studio	Jina AI
Modes	chat	embeddings
More detail	Overview Pricing Providers	Overview

Price adds one million input and one million output tokens on the cheapest route. Prices and speed change: see the monthly reports and run a small eval before you choose a default.

Try Gemma 4 31B with your agent

Paste this into Claude Code, Cursor or any coding agent.

Use Gemma 4 31B through TrustedRouter in this project.

1. Read https://trustedrouter.com/docs/llms.txt
2. Point the OpenAI-compatible client at
   https://api.trustedrouter.com/v1 and read the key from
   TRUSTEDROUTER_API_KEY.
3. Set the model to google/gemma-4-31b-it.
4. Run the tests, then show me the diff before committing.

import os
from openai import OpenAI

client = OpenAI(
    base_url="https://api.trustedrouter.com/v1",
    api_key=os.environ["TRUSTEDROUTER_API_KEY"],
)
response = client.chat.completions.create(
    model="google/gemma-4-31b-it",
    messages=[{"role": "user", "content": "What is the capital of France?"}],
)
print(response.choices[0].message.content)

curl https://api.trustedrouter.com/v1/chat/completions \
  -H "Authorization: Bearer $TRUSTEDROUTER_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"model": "google/gemma-4-31b-it", "messages": [{"role": "user", "content": "What is the capital of France?"}]}'

Your agent will need an API key.

Questions

Which should I use, Google: Gemma 4 31B or Jina AI: Jina Embeddings v5 Text Nano?

Google: Gemma 4 31B has more Credits provider routes and the larger context window. Jina AI: Jina Embeddings v5 Text Nano has the lower published input-plus-output rate. There is not enough recent probe data to compare speed.

Is Google: Gemma 4 31B or Jina AI: Jina Embeddings v5 Text Nano cheaper?

The current cheapest TrustedRouter route is $0.4642/1M for Google: Gemma 4 31B and $0.0211/1M for Jina AI: Jina Embeddings v5 Text Nano. The comparison uses current catalog prices and updates as provider pricing changes.

Is Google: Gemma 4 31B or Jina AI: Jina Embeddings v5 Text Nano faster?

Current measured p50 time to first token is 781 ms for Google: Gemma 4 31B and not enough data for Jina AI: Jina Embeddings v5 Text Nano. These are routed probe measurements, not vendor-advertised speeds, and update as new samples arrive.

Can I test Google: Gemma 4 31B and Jina AI: Jina Embeddings v5 Text Nano with the same API?

Both use the same TrustedRouter base URL and API key. At least one of them is not a chat model, so the request can differ as well as the model id: the API docs list the route for each kind of model.

More comparisons

All comparisons

Try Gemma 4 31B and Jina Embeddings v5 Text Nano with one key.

TrustedRouter is useful when you know the model you want, but still need provider rollover, budget limits, usage records, and a prompt path you can verify.

No card required. Start with 1 million free tokens.