Gemini 3.1 Pro preview
Perplexity responsesGemini 3.1 Pro preview is a Perplexity responses-API model.Input is priced at $2.00/M tokens and output at $12.00/M tokens. Capabilities include function calling. Route Gemini 3.1 Pro preview via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.
Estimate Gemini 3.1 Pro preview spend
Pick a workload, fine-tune the sliders, and see the monthly bill.
Estimate uses $2.00/M input · $12.00/M output. Provider pricing changes. Production costs vary with retries, streaming overhead, and tool-call rounds.
Want this for free? Cache + route via Agent Command Center — first 100K requests and 100K cache hits free every month.
Pricing
Per-token rates, expressed in USD per 1M tokens. Verified Oct 22, 2026.
| Input | $2.00/M | |
| Output | $12.00/M | |
| Blended (3:1 in:out) | $4.50/M Cross-model comparable price | |
| Cached input | $0.200/M |
Context & limits
- Context window
- —
- Max input
- —
- Max output
- —
- Modalities
- text
Capabilities
- Function calling ✓ supported
- Parallel tool calls — not advertised
- Vision input — not advertised
- Audio input — not advertised
- Audio output — not advertised
- PDF input — not advertised
- Streaming ✓ supported
- Structured output — not advertised
- Prompt caching — not advertised
- Reasoning — not advertised
Strengths & caveats — when to pick Gemini 3.1 Pro preview
Data-driven from Gemini 3.1 Pro preview's percentile within responses peers.
Where it's strong
- +agentic workflows that depend on reliable tool calls
Watch out for
- No major caveats flagged from public spec.
Benchmarks pending
We haven't logged public benchmark scores for Gemini 3.1 Pro preview yet. Have one to contribute? Submit a source — citations help us prioritise.
Call Gemini 3.1 Pro preview via Agent Command Center
One OpenAI-compatible endpoint. Routing, fallback, semantic caching, guardrails, and cost tracking come along for the ride. First 100K requests + 100K cache hits free every month.
agentcc / @agentcc/client). Per-call metadata — provider, cost, latency, cache hit, request id — is returned on x-agentcc-* response headers, so any HTTP client can read it.# Gemini 3.1 Pro preview via the Agent Command Center Python SDK
# pip install agentcc
import os
from agentcc import AgentCC
client = AgentCC(
api_key=os.environ["AGENTCC_API_KEY"], # from app.futureagi.com → Settings → API Keys
base_url="https://gateway.futureagi.com/v1",
)
resp = client.chat.completions.create(
model="perplexity/google-gemini-3-1-pro-preview",
messages=[{"role": "user", "content": "Hello, Gemini 3.1 Pro preview!"}],
)
print(resp.choices[0].message.content)
print(f"Tokens: {resp.usage.total_tokens}")
# Per-call gateway metadata is returned on x-agentcc-* response headers.
# When you need it programmatically, use .with_raw_response to get them:
raw = client.chat.completions.with_raw_response.create(
model="perplexity/google-gemini-3-1-pro-preview",
messages=[{"role": "user", "content": "Same call, but I want the headers."}],
)
print("Provider:", raw.headers.get("x-agentcc-provider"))
print("Latency:", raw.headers.get("x-agentcc-latency-ms"), "ms")
print("Cost: ", raw.headers.get("x-agentcc-cost"), "USD")
print("Cache: ", raw.headers.get("x-agentcc-cache"))AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗Same model on other providers
google-gemini-3-1-pro-preview is also available via 1 other route. Pricing, regions, and capabilities can differ — compare before routing production traffic.
| Provider | Input / 1M | Output / 1M | Verified |
|---|---|---|---|
| OpenRouter | $2.00/M | $12.00/M | Aug 6, 2026 |
Explore similar models
Gemini 3.1 Pro preview doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark. Side-by-side links appear where a comparison page exists; otherwise, open the model profile.
FAQ
How much does Gemini 3.1 Pro preview cost?
Input is priced at $2.00 per 1M tokens and output at $12.00 per 1M tokens (Perplexity, last verified Oct 22, 2026).
What is the context window of Gemini 3.1 Pro preview?
Context window for Gemini 3.1 Pro preview is not currently public.
Does Gemini 3.1 Pro preview support function calling?
Yes — Gemini 3.1 Pro preview supports function (tool) calling.
Is Gemini 3.1 Pro preview good for production?
Gemini 3.1 Pro preview is well-suited for agentic workflows that depend on reliable tool calls.
How can I route to Gemini 3.1 Pro preview with fallback?
Use Agent Command Center: a single OpenAI-compatible endpoint that supports cost-optimized routing, latency-aware retries, model fallback, and shadow traffic. Configure once, swap models without app changes.
Useful links for Gemini 3.1 Pro preview
Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.
Third-party evals — verify the marketing.
Cross-check our number against the rest of the ecosystem.