GPT-5.2 Codex vs Gemini 1.0 Pro

1. Optimized for Long-Horizon Coding Tasks

• OpenAI describes GPT-5.2 Codex as a highly intelligent coding model built for long-horizon, agentic coding work.
• Well suited to planning, refactoring, debugging, and multi-step implementation flows inside real codebases.

2. Adjustable Reasoning for Coding Work

• Supports configurable reasoning effort from low to xhigh depending on speed and quality needs.
• Accepts both text and image inputs while producing text output.

3. Large Context + Long Output

• 400 k token context window supports broad repository understanding and larger working sets.
• Allows up to 128 k output tokens for longer patches, code generation, and technical explanations.

4. Up-to-Date Model Snapshot

• Knowledge cut-off of Aug 31 2025 keeps it current with newer tools and frameworks.
• Supports streaming, function calling, and structured outputs for tool-driven coding workflows.

1. Strong all-purpose performance

• Designed as Google's balanced middle-tier model.
• Handles a wide range of tasks: reasoning, writing, coding, and problem-solving.

2. Natively multimodal understanding

• Trained from the ground up on text, images, audio, and video.
• More consistent multimodal reasoning than stitched-together architectures.

3. Great cost-to-capability ratio

• Offers much of Gemini Ultra's reasoning quality at a fraction of the cost.
• Strong default choice for large-scale production workloads.

4. Reliable reasoning and factual performance

• Performs well on benchmarks like MMLU, MMMU, and code reasoning.
• Handles long-form analysis, multi-step reasoning, and structured problem solving.

5. Advanced coding capabilities

• Supports major languages such as Python, Java, C++, Go.
• Generates, edits, debugs, and explains code with high accuracy.
• Powers advanced coding systems like AlphaCode 2.

6. Efficient and scalable

• Optimized for Google TPUs for lower latency and faster inference.
• Suitable for batch workloads, agents, and complex multi-step pipelines.

7. Strong multimodal reasoning

• Understands math, physics, and scientific diagrams.
• Handles mixed data inputs (charts + text, screenshots + instructions, etc.).

8. Enterprise-ready reliability

• Available through Google AI Studio and Vertex AI.
• Benefits from enterprise-grade governance, safety, privacy, and compliance.