Gemini 3 Pro vs GPT-5 vs Claude 4.5: Which model wins for audio workflows?
Gemini 3 Pro brings smarter summaries and actionable insights to audio workflows. Compare it to GPT-5, Claude 4.5, and other leading LLMs.
Google DeepMind's new Gemini 3 Pro is a leap forward in how AI understands, summarizes, and reasons about complex, multimodal data. Building on Gemini 2.5's strengths, Gemini 3 adds interpretive insight, executive-ready summaries, and improved performance across real-world tasks. According to Inc., Gemini 3 outperformed Anthropic and OpenAI on business operations benchmarks, signaling models that don't just respond to prompts but reason, plan, and act across text, audio, images, and video.
Model release timeline (Gemini, GPT-5, Claude 4.5)
What's new in Gemini 3
Gemini 3 Pro introduces several key improvements over 2.5:
1. Smarter, interpretive summaries
- Highlights active speakers and their contributions
- Adds explanatory context—why a comment or insight matters
- Focuses on the most relevant information rather than reporting everything equally
2. Deeper, actionable detail
- Explains motivations and implications behind decisions
- Adds narrative commentary for clarity
- Provides structured insights that teams can act on immediately
3. Better structure & organization
- Hierarchical, editorial format: participants → key topics → action items
- Emphasizes roles, responsibilities, and contributions
- Executive-friendly summaries that read like internal briefings
4. Polished, human tone
- Reads more like an internal newsletter than a mechanical transcript
- Turns meetings and calls into cohesive, actionable stories
Try Gemini 3 on your own audio data in our no-code playground.
Comparing Gemini 3 Pro, GPT-5, and Claude 4.5 on Audio Data
Different models serve different workflows. Here's how they stack up for meeting summaries and audio-based insights:
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The bridge: AssemblyAI's LLM Gateway
Gemini 3 highlights the direction of multimodal AI: reasoning across text, audio, and more. AssemblyAI makes it simple to apply the best LLM to your audio workflows.
Speech → Text → Understanding → LLM Insights
With LLM Gateway, developers can apply any large language model directly to their audio data. Once your audio is transcribed, you can route it through Gemini 3 Pro, GPT-5, Claude, or other supported models to summarize, extract, or analyze conversations—all without changing a single line of code.
Practical use cases
1. AI coach
- Listens to meetings, calls, or interviews
- Analyzes tone, pacing, and responses
- Provides actionable suggestions like "Ask more open-ended questions" or "Pause after each customer comment"
2. Action item generation
- Automatically extracts next steps from conversations
- Outputs structured data (like JSON) for CRM or project management tools
3. Multilingual conversation analytics
- Works seamlessly across languages
- Handles code-switching naturally
- Highlights the most relevant insights from multilingual teams
Start building smarter workflows
Want to see how different models perform on your audio data? LLM Gateway lets you:
- Transcribe meetings, calls, interviews, and more with AssemblyAI's Speech-to-Text
- Quickly switch between Gemini 3, GPT-5, Claude, and others
- Compare outputs to find the model that best fits your workflow
Start with accurate speech-to-text, choose the LLM that works for your use case, and turn conversations into actionable insights your team and customers actually value. Grab your free API key if you're ready to start testing.
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