gemma-4-31b-it
Sail Research Co./🇺🇸 US/chat
Gemma 4 31B IT is Google's open multimodal model with strong multilingual, vision, and general chat performance. Served via Sail Research.MoreLess
Which id to call
sail/gemma-4-31b-itThis exact deployment on Sail Research Co., with no routing and no failover. Send it as the model field.
Input /1M
$0.40
Sail Research Co.
Output /1M
$0.60
1.5x input
Context
262K
66K output
Added
Apr 2026
chat
Capabilities 0/8
Provider rates
What gemma-4-31b-it costs
Provider prices per 1M tokens, updated August 30, 2026.moreless
These are the upstream provider rates. Pay as you go adds 5%, or 0% if you bring your own keys, and there is no per-request fee. Prompt caching and routing change what you pay against these rates, not the rates themselves.
Input /1M
$0.40
Output /1M
$0.60
Cache write /1M
-
Cache read /1M
-
What a workload costs
- 100K input + 10K output
- $0.0460
- 1M input + 100K output
- $0.46
- 10M input + 1M output
- $4.60
At the rates above. This endpoint does not offer prompt caching, so repeated context is billed as new input every time.
OpenAI compatible
Call it in three lines
Change the base url, use your Requesty key, set the model to sail/gemma-4-31b-it. Existing OpenAI SDK code needs no other edit.
123456789101112131415from openai import OpenAI client = OpenAI( api_key="YOUR_REQUESTY_API_KEY", base_url="https://router.requesty.ai/v1", ) response = client.chat.completions.create( model="sail/gemma-4-31b-it", messages=[ {"role": "user", "content": "Explain quantum computing in one paragraph."}, ], ) print(response.choices[0].message.content)
Reference
Specs and data terms
What the catalog reports for this deployment, and what the provider does with the traffic.
Public leaderboards
Benchmark scores
Benchmarks measure the model, not this endpoint, so they are the same wherever these weights are served.
No benchmarks are published for this exact variant yet.
Region-specific deployments and highspeed tiers usually share scores with their base model. Try the base model page or the Sail Research Co. models overview.
Same provider
More from Sail Research Co.
Newest first, on the same provider and the same key.
Reference
gemma-4-31b-it questions
How much does gemma-4-31b-it cost?
gemma-4-31b-it is priced at $0.40 per million input tokens and $0.60 per million output tokens when accessed via Requesty. Those are the upstream provider rates: pay as you go adds 5% on top, or 0% if you bring your own provider keys.
What is the context window of gemma-4-31b-it?
gemma-4-31b-it has a context window of 262K tokens, with a maximum output of 66K tokens per response. That's roughly 350 words of input you can fit in a single prompt.
What can gemma-4-31b-it do?
gemma-4-31b-it is a text-generation model you can call through any OpenAI-compatible client by pointing base_url to Requesty.
How do I use gemma-4-31b-it with the OpenAI SDK?
Install the OpenAI SDK, set base_url to "https://router.requesty.ai/v1", set your API key to your Requesty key, and set the model to "sail/gemma-4-31b-it". The Quickstart above shows Python, JavaScript and cURL snippets.
Can I run gemma-4-31b-it through Requesty?
Yes. gemma-4-31b-it runs through Requesty's OpenAI-compatible API, served from Sail Research Co.. You do not host the model yourself: point base_url at Requesty, set the model to "sail/gemma-4-31b-it", and requests are routed to the upstream provider with automatic failover. The same key gives you 600+ other models too.
Call gemma-4-31b-it through one endpoint
One key for this endpoint and 600+ other models. No markup on provider prices, automatic failover, caching built in.