Google · language model
Gemini 2.5 Pro Preview 06-05: pricing, context and benchmarks
Gemini 2.5 Pro Preview 06-05 is Google's model released on June 5, 2025. It costs $1.25 per million input tokens and $10 per million output tokens, with a 1M-token context window. No independent score has been published for it so far.
What you need to know about Gemini 2.5 Pro Preview 06-05
Google, based in United States, put Gemini 2.5 Pro Preview 06-05 online on June 5, 2025. It accepts files, images, text, and audio as input and produces text. Its context window reaches 1,048,576 tokens, larger than 93 % of the models in the registry, and it can write up to 65,536 tokens in one go.
It has been available for about 17 months, long enough for its prices and scores to have settled.
Gemini 2.5 Pro Preview 06-05 pricing
On OpenRouter, Gemini 2.5 Pro Preview 06-05 costs $1.25 per million input tokens and $10 per million output tokens. Counting three tokens read for every token written, its average price is $3.438 per million, more expensive than 80 % of paid models (4.5 times the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0075. At 1,000 tasks a day, budget $225 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.125 per million.
Performance and benchmarks
Epoch AI does not yet publish a capabilities index for Gemini 2.5 Pro Preview 06-05. We therefore show no made-up performance rating: only price, context and features count towards its score.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 85.3 % | Jun 17, 2025 |
| SWE-bench Verified | fixing real GitHub issues | 57.6 % | Jun 17, 2025 |
| Terminal-Bench | real tasks in a terminal | 32.6 % | Jun 17, 2025 |
| ARC-AGI-1 | visual abstract-reasoning puzzles | 41 % | Jun 17, 2025 |
| ARC-AGI-2 | harder version of the ARC puzzles | 4.9 % | Jun 17, 2025 |
| FrontierMath | research-level maths problems (tiers 1-3) | 24.6 % | Jun 17, 2025 |
| OTIS Mock AIME | maths competition problems | 84.7 % | Jun 17, 2025 |
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
- Its knowledge stops at January 2025.
Its weights are not published: it can only be used through the Google API or a broker such as OpenRouter, which means sending your data off your machines.
Other Google models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| Gemini 4 Argon | Oct 13, 2026 | $4 | 166.5 |
| Nano Banana 2.1 | Oct 6, 2026 | $3 | — |
| Gemini 3.8 Flash | Sep 2, 2026 | $1.65 | 157.4 |
| Gemini 3.7 Flash | Aug 13, 2026 | $1.5 | 158 |
| Gemini 3.6 Flash | Jul 21, 2026 | $1.5 | 154.5 |
| Gemini 3.5 Flash Lite | Jul 21, 2026 | $0.85 | 144.9 |
| Nano Banana 2 Lite (Gemini 3.1 Flash Lite Image) | Jun 30, 2026 | $0.56 | — |
| Nano Banana 2 (Gemini 3.1 Flash Image) | Jun 18, 2026 | $1.13 | — |
Verdict
Computed score: 52/100, from public data (performance, price, context, features).
Strengths
- Very large context (1M tokens): long documents or a whole codebase fit in one request.
- Agent-ready: tool calling and structured JSON output.
Limitations
- Expensive: costlier than 80 % of paid models.
- No independent score published: performance cannot be verified.
Avoid if…
- you process large volumes on a tight budget;
- your data must not leave your servers;
- your tasks are mostly simple: a non-reasoning model will cost less.
Alternatives
- Qwen3.8 2.4T A95B$3
- Kimi K3.1 Pro$4
- Kimi K3$2.88
- GPT-6.1 Sol$4
- GPT-6 Sol$4
- Mistral Large 4$2.07
Comparisons and tools
Learn more
Frequently asked questions
How much does Gemini 2.5 Pro Preview 06-05 cost?
$1.25 per million input tokens and $10 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0075.
How big is Gemini 2.5 Pro Preview 06-05's context window?
1,048,576 tokens, roughly 786,000 words, with a maximum of 65,536 output tokens.
Can Gemini 2.5 Pro Preview 06-05 run locally?
No, Google does not publish its weights: it is API-only.
Is Gemini 2.5 Pro Preview 06-05 suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
What are the alternatives to Gemini 2.5 Pro Preview 06-05?
The closest models on price and performance are Qwen3.8 2.4T A95B, Kimi K3.1 Pro, and Kimi K3.
Related articles
- Mistral AI: models, pricing and agentsOctober 25, 2026
- LLM benchmarks: how to read model rankingsOctober 24, 2026
- Running a local LLM: hardware, software, and limitationsOctober 24, 2026
- Open-source or closed models for your AI agents?October 5, 2026
Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score