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Google: Gemini 2.5 Pro
google/gemini-2.5-pro
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.
Recent activity on Gemini 2.5 Pro
Tokens processed per day
Thoughput
(tokens/s)
| Providers | Min (tokens/s) | Max (tokens/s) | Avg (tokens/s) |
|---|---|---|---|
| Google Vertex | 18.92 | 114.77 | 88.49 |
| SkyRouter | 28.68 | 114.53 | 72.14 |
First Token Latency
(ms)
| Providers | Min (ms) | Max (ms) | Avg (ms) |
|---|---|---|---|
| Google Vertex | 2334 | 7429 | 4467.03 |
| SkyRouter | 2353 | 6269 | 3847.47 |
Providers for Gemini 2.5 Pro
ZenMux Provider to the best providers that are able to handle your prompt size and parameters, with fallbacks to maximize uptime.
Latency
-
Throughput
-
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Tiered pricing
0 <= Input < 200k
Input
$ 1.25
/ M tokens
Output
$ 10
/ M tokens
Cache read
$ 0.31
/ M tokens
Cache write 5m
-
Cache write 1h
$ 4.5
/ M tokens
Cache write
-
Web search
$ 0.035
/ request
Model limitation
Context
1.05M
Max output
65.53K
Supported Parameters
max_completion_tokens
temperature
top_p
frequency_penalty
-
presence_penalty
-
seed
logit_bias
-
logprobs
-
top_logprobs
-
response_format
-
stop
tools
tool_choice
parallel_tool_calls
-
Model Protocol Compatibility
openai
anthropic
Data policy
Prompt training
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Status Page
status page
Latency
2.95
s
Throughput
61.97
tps
Uptime
100.00
%
Recent uptime
Oct 10,2025 - 3 PM100.00%
Price
Tiered pricing
0 <= Input < 200k
Input
$ 1.25
/ M tokens
Output
$ 10
/ M tokens
Cache read
$ 0.31
/ M tokens
Cache write 5m
-
Cache write 1h
$ 4.5
/ M tokens
Cache write
-
Web search
-
Model limitation
Context
1.05M
Max output
65.53K
Supported Parameters
max_completion_tokens
temperature
top_p
frequency_penalty
-
presence_penalty
-
seed
logit_bias
-
logprobs
-
top_logprobs
-
response_format
-
stop
tools
tool_choice
parallel_tool_calls
-
Model Protocol Compatibility
openai
anthropic
-
Data policy
Prompt training
false
Prompt Logging
Zero retention
Moderation
Responsibility of developer
Sample code and API for Gemini 2.5 Pro
ZenMux normalizes requests and responses across providers for you.
OpenAI-PythonPythonTypeScriptOpenAI-TypeScriptcURL
pythonfrom openai import OpenAI client = OpenAI( base_url="https://zenmux.ai/api/v1", api_key="<ZenMux_API_KEY>", ) completion = client.chat.completions.create( model="google/gemini-2.5-pro", messages=[ { "role": "user", "content": [ { "type": "text", "text": "What is in this image?" } ] } ] ) print(completion.choices[0].message.content)