Google: Gemini 2.5 Pro Preview 06-05
Analysis Summary
Gemini 2.5 Pro Preview delivers strong coding benchmark results alongside solid graduate-level reasoning scores, and supports text, image, file, and audio input, making it one of the more versatile multimodal models available. Its 1,048,576 token context window is exceptional for handling entire codebases or lengthy document sets in one pass.
This combination suits businesses doing large-scale document analysis, multimodal content review, or coding support where context length and modality breadth matter as much as raw reasoning. Tool use and function calling extend it into agentic workflows too.
Pricing of $1.25 input and $10 output per million tokens is reasonable for the capability on offer, making this preview a strong pick for teams needing scale and versatility, though newer Gemini releases now offer stronger reasoning.
Assessed July 25, 2026
Editorial notes
Gemini 2.5 Pro Preview pairs strong coding performance with a 1M token context, multimodal input including audio, and aggressive pricing from Google.
Rankings consider pricing, capabilities, benchmarks, and real-world applicability and are refreshed as new models launch. Feedback?
DFO Verdict
Gemini 2.5 Pro Preview pairs strong coding performance with a 1M token context, multimodal input including audio, and aggressive pricing from Google.
Benchmark scores
Magenta = intelligence · Ink = technical/agentic · Cyan = content & long-context · Grey = community benchmarks. Data: Artificial Analysis, Hugging Face.
23 Intelligence Index·46.7 Coding Index
How Google: Gemini 2.5 Pro Preview 06-05 compares
Google: Gemini 2.5 Pro Preview 06-05 ranks #132 of 401 AI models we track for overall intelligence, #54 of 176 for coding. Its 1M-token context window is larger than 95% of the models we list. At $1.25 per million input tokens it is cheaper than 23% of comparable models.
Dark bar = input · light bar = output, scaled to the priciest peer.
1M tokens ≈ 8 full-length novels or ~2,500 pages of business documents in a single request.
Strongest on value. The pulled-in intelligence corner is the trade-off, and if the shape matters more than the price, this is your model.
Compare shapes side-by-side →Pricing
| Token Type | Cost per 1M tokens | Cost per 1K tokens |
|---|---|---|
| Input | $1.25 | $0.001250 |
| Output | $10.00 | $0.010000 |
What would Google: Gemini 2.5 Pro Preview 06-05 cost your business?
Pick the job that looks most like yours, then fine-tune with the sliders. Estimates update live.
A website chatbot handling around 100 customer conversations a day, a few short messages each.
Full calculator with 688 models → Price Calculator
These numbers get smaller with the right architecture.
We route routine calls to cheap models and save Google: Gemini 2.5 Pro Preview 06-05 for the hard ones. Most clients cut their estimate by 60-80%.
Talk to our teamAbout Google: Gemini 2.5 Pro Preview 06-05
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..
Frequently asked questions about Google: Gemini 2.5 Pro Preview 06-05
How much does Google: Gemini 2.5 Pro Preview 06-05 cost?
Google: Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10.00 per million output tokens.
What is the context window of Google: Gemini 2.5 Pro Preview 06-05?
Google: Gemini 2.5 Pro Preview 06-05 has a context window of 1,048,576 tokens (1M).
Is Google: Gemini 2.5 Pro Preview 06-05 good for coding?
On our coding benchmark index, Google: Gemini 2.5 Pro Preview 06-05 ranks #54 of 176 models, placing it in the broader range of the field for code generation and debugging.
What can Google: Gemini 2.5 Pro Preview 06-05 do?
Google: Gemini 2.5 Pro Preview 06-05 supports image/vision input, tool use, and function calling.
Who created Google: Gemini 2.5 Pro Preview 06-05?
Google: Gemini 2.5 Pro Preview 06-05 is developed by Google and was released on June 5, 2025.
