Reka CorevsGPT-o1
Reka AI vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Reka Core | GPT-o1 |
|---|---|---|
| Provider | ||
| Arena Rank | — | #3 |
| Context Window | 128K | 200K |
| Input Pricing | $3.00/1M tokens | $15.00/1M tokens |
| Output Pricing | $15.00/1M tokens | $60.00/1M tokens |
| Parameters | Undisclosed | Undisclosed |
| Open Source | No | No |
| Best For | Multimodal reasoning, video understanding, analysis | Complex reasoning, math, science, coding |
| Release Date | Apr 15, 2024 | Dec 17, 2024 |
Reka Core
Reka Core is Reka AI's flagship multimodal model capable of understanding text, images, video, and audio natively. Founded by former Google DeepMind researchers, Reka built one of the few models with true video understanding capabilities. Core delivers competitive performance with leading frontier models while offering unique multimodal input flexibility.
View Reka AI 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 →Key Differences: Reka Core vs GPT-o1
Reka Core is 4.2x cheaper on average, making it the better choice for high-volume applications.
GPT-o1 supports a larger context window (200K), allowing it to process longer documents in a single request.
When to use Reka Core
- +Budget is a concern and you need cost efficiency
- +Your use case involves multimodal reasoning, video understanding, analysis
When to use GPT-o1
- +Quality matters more than cost
- +You need to process long documents (200K context)
- +Your use case involves complex reasoning, math, science, coding
Cost Analysis
At current pricing, Reka Core is 4.2x more affordable than GPT-o1. For a typical enterprise workload processing 100M tokens per month:
Reka Core monthly cost
$900
100M tokens/mo (50/50 in/out)
GPT-o1 monthly cost
$3,750
100M tokens/mo (50/50 in/out)
The Verdict
This is a close matchup. Reka Core and GPT-o1 each win in different categories, making the choice highly dependent on your use case. Choose Reka Core for multimodal reasoning, video understanding, analysis. Choose GPT-o1 for complex reasoning, math, science, coding.
Last compared: March 2026 · Data sourced from public benchmarks and official pricing pages