Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling. Gemini 2.5 Pro achieves top-tier performance on multiple benchmarks, including first-place positioning on the LMArena leaderboard, reflecting superior human-preference alignment and complex problem-solving abilities.
Modalities
In / Out Price
$1.25 / $10per 1M
Context
1M
Released
Jun 17, 2025
Knowledge Cutoff
Jan 2025
Different companies host the same model. OpenRouter routes your request to one of them based on the routing mode you pick — Balanced (price + speed), Nitro (fastest), or Exacto (highest tool-calling accuracy).
The average price customers actually pay for this model, next to the prices providers post. Caching and discounts mean the price actually paid is often well below the listed one.
Throughput is how fast the model writes (tokens per second — higher is better). Latency is total round-trip time (lower is better). TTFT is time-to-first-token — how long before you see anything appear (lower is better).
Uptime is the percentage of the past 3 days that at least one provider was responding to requests. Availability is the percentage of time that inference was successfully served. OpenRouter continuously monitors and uses the next-best provider when one returns an error.
Scores on standardized evaluations. Higher percentages are better — and rank percentile shows where this model lands among all models on OpenRouter.
Public apps that send the most traffic to this model. Good signal for what real production workloads look like — and a hint at which use cases this model is best suited for.
Token volume and request traffic to this model over time.
Drop-in code to call this model. OpenRouter's API is OpenAI-compatible — most SDKs work by just swapping the base URL. The only thing that changes between models is the model slug below.
Gemini 2.5 Pro is Google’s state-of-the-art AI model designed for advanced reasoning, coding, mathematics, and scientific tasks. It employs “thinking” capabilities, enabling it to reason through responses with enhanced accuracy and nuanced context handling.
Gemini 2.5 Pro costs $1.25/M input tokens and $10.00/M output tokens, with separate rates for Cache Read at $0.125/M tokens, Cache Write at $0.375/M tokens, Image Input at $1.25/M tokens, Input Audio at $1.25/M tokens and Input Audio Cache at $0.125/M tokens.
Gemini 2.5 Pro has a 1,048,576 token context window. It supports up to 65,536 completion tokens.
Yes. Gemini 2.5 Pro accepts tools and tool_choice for function calling. It also supports structured outputs via a JSON schema in response_format.
Gemini 2.5 Pro accepts text, images, files such as PDFs, audio and video as input and returns text.
Gemini 2.5 Pro is served by 2 providers on OpenRouter: Google Vertex (US) and Google AI Studio. Requests are routed to the best available provider, with automatic failover to the others, and you can pin or exclude providers with provider routing.
Gemini 2.5 Pro was released on June 17, 2025. Its knowledge cutoff is January 31, 2025.
| $1.25 | $10.00 | $0.125 | $0.125 | 2.18s | 82 tps | ||
| $1.25 | $10.00 | $0.125 | $0.125 | 5.11s | 90 tps | ||
| $1.25 | $10.00 | $0.125 | $0.125 | 17.28s | 101 tps | ||
| $1.25 | $10.00 | $0.125 | $0.125 | 3.32s | 92 tps |
Throughput
101tok/s
P50, best across providers
Latency
2.18s
P50, best provider
100.00%
97.53%
When an error occurs in an upstream provider, we can recover by routing to another healthy provider, if your request filters allow it. You can access per-provider uptime data programmatically through the Endpoints API. Learn more about our load balancing and customization options.