Google Gemini 2.5 Pro

DeepInfra chat

Google Gemini 2.5 Pro is a DeepInfra chat model.It supports a 1,000,000-token context windowwith up to 1,000,000 output tokens.Input is priced at $1.25/M tokens and output at $10.00/M tokens. 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: litellm Last verified: May 12, 2026 View source ↗
Cost calculator

Estimate Google Gemini 2.5 Pro spend

Pick a workload, fine-tune the sliders, and see the monthly bill.

~3K in / ~400 out · 5K req/day
3,000
01,000,000
400
0200,000
5,000
01,000,000
Per request
$0.007750
in $0.003750 · out $0.004000
Per day
$38.75
5,000 requests
Per month
$1,179
152,188 requests

Estimate uses $1.25/M input · $10.00/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 May 12, 2026.

Input $1.25/M
Output $10.00/M

Limits

Context window
1,000,000 tokens
Max input
1,000,000 tokens
Max output
1,000,000 tokens
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

  • +pricing — cheaper than 79% of priced chat models on Future AGI
  • +long-context tasks — context window in the top 8% of peers
  • +long-form generation — 1,000,000-token max output, top-1% of peers

Watch out for

  • !strict structured output — no JSON-schema enforcement, expect retry loops

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="deepinfra/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="deepinfra/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
PerplexityMay 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?

Input is priced at $1.25 per 1M tokens and output at $10.00 per 1M tokens (DeepInfra, last verified May 12, 2026).

What is the context window of Google Gemini 2.5 Pro?

Google Gemini 2.5 Pro supports a 1,000,000-token context window with up to 1,000,000 output tokens.

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 pricing — cheaper than 79% of priced chat models on Future AGI and long-context tasks — context window in the top 8% of peers. Consider alternatives if you need strict structured output — no JSON-schema enforcement, expect retry loops.

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.