GPT-5 is expected to offer significant improvements over Claude 4 in terms of context window size, reasoning accuracy, code generation, hallucination rate, and bias mitigation. However, Claude 4 is currently available and has a clearly defined pricing model, while GPT-5's availability and pricing are still uncertain. The choice between the two depends on specific needs and priorities, such as the importance of a large context window versus immediate availability and transparent pricing.
| Attribute | Claude 4 | GPT-5 |
|---|---|---|
| Context Window Size (Token Limit) | Up to 200,000 tokens, with Enterprise plans for Claude Sonnet 4 having access to a 500k context window. | Rumored to be up to 1 million tokens, with some experts predicting over 1 million tokens and mentions of up to 5 million tokens. |
| Multimodal Input Capabilities (Image, Audio, Video) | Understands and generates from text, images, and audio. | Expected to natively support text, image, audio, and voice, with a possibility of video processing being added. Designed to unify reasoning, multimodal input, and task execution in a single model. |
| Reasoning and Problem-Solving Accuracy (Benchmark Scores) | Outperforms GPT-4 and Gemini 1.5 Pro in reasoning, knowledge, and code generation. Strong performance on SWE-bench, TerminalBench, GPQA Diamond, TAU-bench, and MMLU. | Expected to integrate multiple architectures for improved reasoning. An experimental LLM achieved gold medal-level performance at the 2025 International Math Olympiad (IMO). Projected to score over 95% on the MMLU benchmark, compared to GPT-4's 86.4%. |
| Coding Proficiency (Languages Supported, Code Generation Accuracy) | Supports Python, JavaScript, Go, Rust, and more. Performs code refactoring, debugging, and code review. Claude Opus 4 is considered the best coding model. | Expected to show stronger reasoning and chain-of-thought capabilities, leading to more accurate math and better code generation. Expected to achieve 90%+ accuracy on HumanEval compared to GPT-4's 74%. |
| Hallucination Rate (Frequency of Incorrect/Nonsensical Outputs) | 65% less likely to engage in shortcut behavior. | Designed for significantly fewer hallucinations compared to earlier models. Expected to show improved factual accuracy across domains due to more robust training on structured data and enhanced retrieval abilities. |
| Bias Mitigation (Fairness Across Demographics) | Built on Anthropic's Constitutional AI framework, trained to be useful, friendly, and truthful. | Expected to leverage enhanced reinforcement learning from human feedback (RLHF) and better safety fine-tuning, making it more resistant to harmful or biased content. |
| Customization Options (Fine-tuning, API Access) | Accessible via the Anthropic API, GitHub Copilot, AWS Bedrock, and Google Cloud's Vertex AI. Fine-tuning on specific datasets is an area for improvement. | Likely to have different intelligence levels or versions, with advanced capabilities accessible for pro/enterprise subscribers. |
| Data Privacy and Security Compliance | Strict data privacy policies to ensure user data is handled ethically and securely. | OpenAI supports customers' compliance with privacy laws, including GDPR and CCPA. OpenAI offers a Data Processing Addendum for customers. |
| Integration Capabilities (Plugins, Third-party Services) | Supports tool use and extended workflows through its API. Connects to APIs and file systems using the Model Context Protocol (MCP). | Expected to integrate more deeply into workflows, performing tasks like travel booking and workflow management. |
| Speed and Latency (Response Time) | Claude Sonnet 4 has lower inference times. Claude Opus 4 offers hybrid reasoning with both near-instant responses and extended thinking. | Aims to merge the speed of the 'o-series' with the deep chain-of-thought reasoning, delivering a single model that automatically selects the right capability for each request. |
| Pricing Model and Cost-Effectiveness | Claude Opus 4: $15 per million input tokens and $75 per million output tokens. Claude Sonnet 4: $3 per million input tokens, $15 per million output tokens. Claude Pro plan: $17 per month. | As newer models emerge, a reduction in the cost of using the OpenAI API is anticipated. |
| Availability and Reliability (Uptime) | Available on the web, iOS, and Android, and through the Anthropic API, Amazon Bedrock, and Google Cloud's Vertex AI. | Will first be available to paying Plus, Team, Education, and Enterprise users, followed by a gradual rollout to free users as infrastructure scales and risk evaluations are complete. |