# Gemini 2.5 Pro

Gemini 2.5 Pro is an AI model released by Google on Mar 25 2025. Tracked results include 20% on BullshitBench v2, 86.4% on GPQA Diamond and 59.6% on SWE-Bench Verified.

## Facts

| Field | Value |
| --- | --- |
| Model | Gemini 2.5 Pro |
| Developer | Google |
| Release date | Tuesday, Mar 25 2025 |
| Licensing | Proprietary |

## API pricing

All rates in USD per 1,000,000 tokens, pay-as-you-go.

| Tier | Input | Cached input | Output |
| --- | --- | --- | --- |
| Prompts up to 200K tokens | $1.25 | $0.125 | $10.00 |
| Prompts over 200K tokens | $2.50 | $0.25 | $15.00 |

Output prices include reasoning tokens.
Verified August 18, 2026 against the first-party source: https://ai.google.dev/gemini-api/docs/pricing

## Tracked benchmark scores

| Benchmark | Score | Source | What it measures |
| --- | --- | --- | --- |
| BullshitBench v2 | 20% | [BullshitBench](https://github.com/petergpt/bullshit-benchmark) | Given a confidently-worded but nonsensical prompt, does the AI spot that it makes no sense and push back — instead of playing along and inventing an answer? The score is how often it clearly called out the nonsense. Higher is better. |
| SWE-Bench Verified | 59.6% | Lab | Real coding tasks pulled from open-source projects — the AI has to find and fix actual bugs. A human-checked version of the original SWE-Bench. Higher is better. |
| Humanity's Last Exam (with tools) | 18.8% | [BenchLM](https://benchlm.ai), retrieved 2026-08-31 | Humanity's Last Exam — extremely hard expert questions across many subjects. “With tools” means the AI is allowed to search the web or run code while answering. Higher is better. |
| GPQA Diamond | 86.4% | Lab | Graduate-level science questions in biology, physics, and chemistry — hard enough that subject-matter PhDs score around 65%. Higher is better. |
| MMMU | 68% | Lab | Tests the AI on understanding images and text together across many college subjects. Higher is better. |

## About Gemini 2.5 Pro

Gemini 2.5 Pro, released March 25, 2025, was Google's first thinking-native flagship — reasoning built into the model rather than offered as a separate mode — and it debuted at the top of the LMArena leaderboard by a wide margin. It combined a 1M-token context window with 86.4% on GPQA Diamond, at the time the strongest published science-reasoning score of any model.

It was arguably Google's definitive 2025 comeback: after a year of trailing OpenAI and Anthropic in developer mindshare, 2.5 Pro made Gemini a serious default for coding, long-document analysis, and video understanding. It held Google's flagship position for nearly eight months until Gemini 3.0 Pro arrived in November 2025.

## Questions and answers

### When was Gemini 2.5 Pro released?

Gemini 2.5 Pro was released by Google on Tuesday, Mar 25 2025.

### Who made Gemini 2.5 Pro?

Gemini 2.5 Pro was built by Google. Builds the Gemini family of models through Google DeepMind. Integrates AI across Google products.

### How much does Gemini 2.5 Pro cost?

Gemini 2.5 Pro costs $1.25 per million input tokens and $10.00 per million output tokens through the Google API. Cached input is $0.125 per million tokens. Those are the rates for the “Prompts up to 200K tokens” tier; 1 other pricing tier is published for this model. Output prices include reasoning tokens. Rates are pay-as-you-go API prices verified against Google's published pricing on August 18, 2026.

### What benchmark scores did Gemini 2.5 Pro get?

Gemini 2.5 Pro reports 5 tracked benchmark scores — BullshitBench v2: 20%; SWE-Bench Verified: 59.6%; Humanity's Last Exam (with tools): 18.8%; GPQA Diamond: 86.4%; MMMU: 68%. Tracked scores may come from lab reports or independent benchmarks; source details accompany the benchmark data.

### Is Gemini 2.5 Pro open source?

No. Gemini 2.5 Pro is a proprietary model. The weights are not published — it is available only through the provider's own API, apps, or partner platforms.

### What came before and after Gemini 2.5 Pro?

Google's previous tracked release was Gemma 3 on Mar 12 2025, 13 days earlier. It was followed by Gemini 2.5 Flash on Apr 17 2025.


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Canonical page: https://aireleasetracker.com/model/google/gemini-2.5-pro
Full dataset: https://aireleasetracker.com/llms-full.txt · JSON: https://aireleasetracker.com/models.json
Source: AI Release Tracker (https://aireleasetracker.com). Most benchmark scores come from lab launch material; gathered results identify the leaderboard that published them.