Gemini 3 Pro
- Released November 2025
- Framework: google deepmind's frontier safety framework (fsf)
- 3 statements about capability levels
- 1 safeguard
- 8 tests by the provider
- 5 source documents
What the provider states
- Cyber · Uplift level 1 · Not determined
Cybersecurity On key skills benchmark, v1 hard challenges: 11/12 challenges solved; v2 challenges: 0/13 solved end-to-end.
Google DeepMind · November 2025 · Read the source - Deception & sabotage · Instrumental reasoning level 1 + 2 · Not determined
Misalignment (Exploratory) Agent solves 3/11 situational awareness challenges and 1/4 stealth challenges.
Google DeepMind · November 2025 · Read the source - Deception & sabotage · Level 1 (exploratory) · Stated as not crossed
Harmful Manipulation Model manipulative efficacy improves on non-generative AI baseline, but shows no significant uplift versus prior models and does not reach alert thresholds.
Google DeepMind · November 2025 · Read the source
Safeguards the provider describes
- Safety training (harmlessness and refusal)
Mitigations include, but are not limited to: ● dataset filtering; ● conditional pre-training; ● supervised fine-tuning; ● reinforcement learning from human and critic feedback; ● safety policies and desiderata; ● product-level mitigations such as safety filtering.
Google DeepMind · November 2025 · Read the source
The provider's own tests
- Harmful Manipulation evaluation · The provider · Deception & sabotage
Harmful Manipulation Model manipulative efficacy improves on non-generative AI baseline, but shows no significant uplift versus prior models and does not reach alert thresholds.
Google DeepMind · November 2025 · Read the source - Key Skills Benchmark · The provider · Cyber
Cybersecurity On key skills benchmark, v1 hard challenges: 11/12 challenges solved; v2 challenges: 0/13 solved end-to-end.
Google DeepMind · November 2025 · Read the source - Situational Awareness and Stealth challenges · The provider · Deception & sabotage
Misalignment (Exploratory) Agent solves 3/11 situational awareness challenges and 1/4 stealth challenges.
Google DeepMind · November 2025 · Read the source - image to text safety · The provider · Harmful contentabsolute percentage change in performance compared to gemini 2 5 pro: 3.1% change
Image to Text Safety Automated content safety evaluation measuring safety policies +3.1% (non-egregious)
Google DeepMind · November 2025 · Read the source - multilingual safety · The provider · Harmful contentabsolute percentage change in performance compared to gemini 2 5 pro: 0.2% change
Multilingual Safety Automated safety policy evaluation across multiple languages +0.2% (non-egregious)
Google DeepMind · November 2025 · Read the source - text to text safety · The provider · Harmful contentabsolute percentage change in performance compared to gemini 2 5 pro: -10.4% change
Text to Text Safety Automated content safety evaluation measuring safety policies -10.4%
Google DeepMind · November 2025 · Read the source - tone · The provider · Misuse & jailbreakabsolute percentage change in performance compared to gemini 2 5 pro: 7.9% change
Tone 2 Automated evaluation measuring objective tone of model refusal +7.9%
Google DeepMind · November 2025 · Read the source - unjustified-refusals · The provider · Misuse & jailbreakabsolute percentage change in performance compared to gemini 2 5 pro: 3.7% change
Unjustified-refusals Automated evaluation measuring model’s ability to respond to borderline prompts while remaining safe +3.7% (non-egregious)
Google DeepMind · November 2025 · Read the source
No document we read states: an independent or government test. No incident on record names this version.
Documents listed for this version
- Gemini 3 Pro · Google DeepMind · November 2025
- Restricting AI Agent Use of Biological Tools: Exploring the Feasibility of Software Barriers · RAND (CAST / Project Canary) · 20 July 2026
- Are Mythos' cyber capabilities overhyped? · Epoch AI · 11 June 2026
- Revisiting Frontier LLMs' Attempts to Persuade on Extreme Topics: GPT and Claude Improved, Gemini Worsened · FAR.AI · 10 February 2026
- Bridging the Digital to Physical Divide: Evaluating LLM Agents on Benchtop DNA Acquisition · RAND (CAST / Project Canary) · 3 February 2026