GPT-5 Launches: What It Can Do and What It Changes

What GPT-5 Actually Is

GPT-5 is OpenAI's next-generation foundation model, succeeding GPT-4o as the primary model available through ChatGPT and the OpenAI API. Unlike the incremental step from GPT-4 to GPT-4o, GPT-5 represents a more substantial capability jump — particularly in complex reasoning, long-horizon task completion, and the integration of what OpenAI calls "system-level intelligence" where the model maintains context and purpose across very long interactions.

GPT-5 unifies the previously separate reasoning model (o-series) and generalist model (GPT-series) tracks into a single model that can switch between fast, conversational responses and deep, step-by-step reasoning based on task requirements. This means developers no longer need to choose between GPT-4o for general tasks and o3 for hard reasoning problems — GPT-5 handles both.

Benchmark Results — How It Compares

OpenAI released comprehensive benchmark results at launch. Headline numbers show GPT-5 outperforming GPT-4o on every standard benchmark:

• MMLU (general knowledge): GPT-5 scores approximately 92% vs GPT-4o's 87%
• MATH (advanced mathematics): GPT-5 scores approximately 88% vs GPT-4o's 76%
• HumanEval (Python coding): GPT-5 scores approximately 95% vs GPT-4o's 90%
• GPQA (graduate-level science): GPT-5 scores approximately 78% vs GPT-4o's 53%

The GPQA improvement is the most striking — nearly 25 percentage points better at PhD-level science questions. This suggests GPT-5's reasoning improvements are most pronounced on genuinely hard, multi-step problems rather than straightforward knowledge retrieval. In head-to-head comparisons with Gemini Ultra 2 and Claude Opus 4, GPT-5 is broadly competitive with each leading on different specific benchmarks — no single model dominates every dimension.

New Multimodal Capabilities

GPT-5 expands multimodal capabilities beyond GPT-4o's image understanding:

• Native audio understanding: GPT-5 can process audio input directly — understanding tone, accent, and emotional context, not just transcribing words. This enables voice-based AI applications that are genuinely context-aware.
• Video understanding: GPT-5 can accept video input and answer questions about what happens across the video, not just individual frames
• Document intelligence: Improved table, chart, and form understanding — feeding a PDF invoice or a financial statement produces more accurate structured extraction than before

These capabilities are particularly relevant for Indian enterprise use cases: processing scanned documents (GST invoices, purchase orders, delivery challans), analysing surveillance footage for security applications, and handling voice inputs in Indian-accented English.

Pricing Changes — What Indian Developers Need to Know

OpenAI restructured pricing alongside the GPT-5 launch. The previous per-model pricing (GPT-4o, GPT-4o-mini at separate rates) is replaced with a usage-tier system where GPT-5 is the primary offering at multiple quality levels. At current exchange rates, approximate INR pricing for GPT-5 API access:

• GPT-5 Standard: Approximately ₹12–₹18 per 1,000 input tokens, ₹36–₹54 per 1,000 output tokens
• GPT-5 Mini (smaller, faster, cheaper): Approximately ₹1.5–₹2.5 per 1,000 input tokens, ₹5–₹8 per 1,000 output tokens
• Batch API discount: 50% reduction on both models for asynchronous batch processing
• Prompt caching: Repeated prompt prefixes cached at 75% discount — critical for applications with large system prompts or document contexts

For Indian developers building production applications, GPT-5 Mini at these rates is competitive with Claude Haiku and Gemini Flash for high-volume tasks, while GPT-5 Standard competes with Opus/Ultra-tier models at a premium price point.

GPT-5 vs Claude Opus 4 vs Gemini Ultra 2

With all three frontier labs having released major models within weeks of each other, the practical question for developers is: which model to use for which tasks?

• Code generation and debugging: GPT-5 and Claude Opus 4 are both excellent; GPT-5 edges ahead on Python specifically, Claude ahead on longer codebase understanding tasks
• Long document analysis: Gemini Ultra 2's 2M+ token context window gives it an architectural advantage for very long document processing; GPT-5's context window is competitive but not the largest
• Instruction following and safe outputs: Claude Opus 4 continues to lead on following nuanced instructions precisely and avoiding policy violations — important for enterprise deployments
• Multilingual Indian language support: Gemini Ultra 2 shows strong Hindi, Tamil, and Telugu performance given Google's India-focused training data; GPT-5 has improved but still trails Gemini on regional Indian languages
• Agent and tool use: All three models have strong tool-calling capabilities; GPT-5 benefits from OpenAI's head start on the Assistants API and function calling ecosystem

Impact on ChatGPT — What Consumer Users See

For ChatGPT Plus subscribers (approximately ₹1,700/month in India through the app stores), GPT-5 is now the default model. The most noticeable improvement is in longer, more complex conversations: GPT-5 maintains context better across extended sessions, gives more nuanced answers to ambiguous questions, and handles multi-step planning tasks more reliably than GPT-4o. The voice mode upgrade — powered by GPT-5's native audio understanding — delivers noticeably more natural voice conversations.