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Eleven Turbo v2.5vsGPT-o1

ElevenLabs vs OpenAI — Side-by-side model comparison

GPT-o1 leads 4/5 categories

Head-to-Head Comparison

MetricEleven Turbo v2.5GPT-o1
Provider
Arena Rank
#3
Context Window
N/A (audio)
200K
Input Pricing
Credits-based/1M tokens
$15.00/1M tokens
Output Pricing
Credits-based/1M tokens
$60.00/1M tokens
Parameters
Undisclosed
Undisclosed
Open Source
No
No
Best For
Real-time speech synthesis, conversational AI
Complex reasoning, math, science, coding
Release Date
Jul 1, 2024
Dec 17, 2024

Eleven Turbo v2.5

Eleven Turbo v2.5 is ElevenLabs' lowest-latency text-to-speech model, optimized for real-time conversational AI applications. It delivers natural-sounding speech with minimal delay, supporting 32 languages with automatic language detection. The model excels in interactive scenarios like voice assistants, phone agents, and live dubbing where response time is critical for a natural conversational experience.

View ElevenLabs profile →

GPT-o1

GPT-o1 is OpenAI's first dedicated reasoning model, introducing the concept of 'thinking tokens' where the model reasons through problems step-by-step before generating a response. This approach significantly improves performance on complex mathematics, coding challenges, and scientific reasoning compared to standard language models. With a 200K token context window, o1 can process lengthy technical documents while applying deep reasoning. It excels on competition-level math problems, PhD-level science questions, and complex coding tasks that require careful logical thinking. While slower and more expensive than GPT-4o due to the reasoning overhead, o1 delivers substantially better results on tasks that benefit from deliberate, structured problem-solving rather than quick pattern matching.

View OpenAI profile →
E

When to use Eleven Turbo v2.5

  • +Your use case involves real-time speech synthesis, conversational ai
View full Eleven Turbo v2.5 specs →
G

When to use GPT-o1

  • +Your use case involves complex reasoning, math, science, coding
View full GPT-o1 specs →

The Verdict

GPT-o1 wins our head-to-head comparison with 4 out of 5 category wins. It's the stronger choice for complex reasoning, math, science, coding, though Eleven Turbo v2.5 holds an edge in real-time speech synthesis, conversational ai.

Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages

Frequently Asked Questions

Which is better, Eleven Turbo v2.5 or GPT-o1?
In our head-to-head comparison, GPT-o1 leads in 4 out of 5 categories (arena rank, context window, input pricing, output pricing, and parameters). GPT-o1 excels at complex reasoning, math, science, coding, while Eleven Turbo v2.5 is better suited for real-time speech synthesis, conversational ai. The best choice depends on your specific requirements, budget, and use case.
How does Eleven Turbo v2.5 pricing compare to GPT-o1?
Eleven Turbo v2.5 charges Credits-based per 1M input tokens and Credits-based per 1M output tokens. GPT-o1 charges $15.00 per 1M input tokens and $60.00 per 1M output tokens. For high-volume production workloads, the pricing difference can significantly impact total cost of ownership.
What is the context window difference between Eleven Turbo v2.5 and GPT-o1?
Eleven Turbo v2.5 supports a N/A (audio) token context window, while GPT-o1 supports 200K tokens. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Eleven Turbo v2.5 or GPT-o1 for free?
Eleven Turbo v2.5 is a paid API model starting at Credits-based per 1M input tokens. GPT-o1 is a paid API model starting at $15.00 per 1M input tokens.
Which model has better benchmarks, Eleven Turbo v2.5 or GPT-o1?
Eleven Turbo v2.5's arena rank is not yet available, while GPT-o1 holds rank #3. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Eleven Turbo v2.5 or GPT-o1 better for coding?
Eleven Turbo v2.5's primary strength is real-time speech synthesis, conversational ai. GPT-o1 is specifically optimized for coding tasks. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.