Google Gemini 2.5 Pro

Perplexity responses

Google Gemini 2.5 Pro is a Perplexity responses-API model. Capabilities include function calling. Route Google Gemini 2.5 Pro via Future AGI's Agent Command Center for unified observability, caching, and 15 routing strategies including cost-optimized fallback.

Pricing source: unknown Last verified: May 12, 2026 View source ↗
Pricing not yet public

We don't have verified per-token pricing for Google Gemini 2.5 Pro yet. If you have a source from Perplexity's documentation, help us add it — your submission gets reviewed within 48 hours.

Pricing

Per-token rates, expressed in USD per 1M tokens. Verified May 12, 2026.

Input
Output

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

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 Google Gemini 2.5 Pro yet. Have one to contribute? Submit a source — citations help us prioritise.

Try it

Call Google Gemini 2.5 Pro 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.

SDK
Native Future AGI client (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.
# Google Gemini 2.5 Pro 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-2-5-pro",
    messages=[{"role": "user", "content": "Hello, Google Gemini 2.5 Pro!"}],
)

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-2-5-pro",
    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"))
Set AGENTCC_API_KEY with a key fromapp.futureagi.com.Gateway docs ↗

Same model on other providers

google-gemini-2-5-pro is also available via 3 other routes. Pricing, regions, and capabilities can differ — compare before routing production traffic.

ProviderInput / 1MOutput / 1MVerified
OpenRouter$1.25/M$10.00/MMay 12, 2026
DeepInfra$1.25/M$10.00/MMay 12, 2026
Oracle Cloud$1.25/M$10.00/MMay 12, 2026

Compare with similar models

Google Gemini 2.5 Pro doesn't have a public Arena ELO score yet, so we group by provider only — quality-tier comparisons need a benchmark.

FAQ

How much does Google Gemini 2.5 Pro cost?

Public per-token pricing for Google Gemini 2.5 Pro is not yet published. Submit a source on this page to help us add it.

What is the context window of Google Gemini 2.5 Pro?

Context window for Google Gemini 2.5 Pro is not currently public.

Does Google Gemini 2.5 Pro support function calling?

Yes — Google Gemini 2.5 Pro supports function (tool) calling.

Is Google Gemini 2.5 Pro good for production?

Google Gemini 2.5 Pro is well-suited for agentic workflows that depend on reliable tool calls.

How can I route to Google Gemini 2.5 Pro 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 Google Gemini 2.5 Pro

Official sources, independent benchmarks, and pricing aggregators — no random search-engine guesses.