Reka CorevsGPT-4o
Reka AI vs OpenAI — Side-by-side model comparison
Head-to-Head Comparison
| Metric | Reka Core | GPT-4o |
|---|---|---|
| Provider | ||
| Arena Rank | #17 | #2 |
| Context Window | 128K | 128K |
| Input Pricing | $2.00/1M tokens | $2.50/1M tokens |
| Output Pricing | $2.00/1M tokens | $10.00/1M tokens |
| Parameters | 67B | ~200B (est.) |
| Open Source | No | No |
| Best For | Multimodal reasoning, video understanding, multilingual | General purpose, coding, analysis |
| Release Date | Apr 15, 2024 | — |
Reka Core
Reka Core, developed by Reka AI, is a multimodal model that natively processes text, images, video, and audio inputs in a unified architecture. Founded by former Google DeepMind researchers who helped build Google's Gemini, Reka AI brings deep expertise in multimodal training to this flagship model. Reka Core demonstrates competitive performance against larger models on general reasoning and multimodal understanding benchmarks. Its ability to process video and audio natively, rather than through separate encoder pipelines, enables more coherent cross-modal understanding. The model targets enterprise applications requiring versatile multimodal AI, including document analysis with embedded media, video understanding, and audio-visual content processing. Reka AI has positioned Reka Core as a practical alternative for organizations seeking multimodal capabilities without dependence on the largest AI providers.
View Reka AI profile →GPT-4o
GPT-4o is OpenAI's flagship multimodal model, capable of processing text, images, and audio in a unified architecture. The 'o' stands for 'omni,' reflecting its ability to seamlessly handle multiple input types. With a 128K token context window and competitive pricing, it strikes an optimal balance between capability and cost-effectiveness. GPT-4o delivers fast response times while maintaining strong performance across coding, analysis, creative writing, and visual understanding tasks. It powers ChatGPT's default experience and is one of the most widely deployed AI models globally, serving millions of API calls daily. The model supports function calling, JSON mode, and structured outputs, making it highly versatile for production applications. Its combination of speed, quality, and multimodal capabilities makes it the go-to choice for most general-purpose AI applications.
View OpenAI profile →Key Differences: Reka Core vs GPT-4o
GPT-4o ranks higher in arena benchmarks (#2) indicating stronger overall performance.
Reka Core is 3.1x cheaper on average, making it the better choice for high-volume applications.
Reka Core has 67B parameters vs GPT-4o's ~200B (est.), which affects inference speed and capability.
When to use Reka Core
- +Budget is a concern and you need cost efficiency
- +Your use case involves multimodal reasoning, video understanding, multilingual
When to use GPT-4o
- +You need the highest quality output based on arena rankings
- +Quality matters more than cost
- +Your use case involves general purpose, coding, analysis
Cost Analysis
At current pricing, Reka Core is 3.1x more affordable than GPT-4o. For a typical enterprise workload processing 100M tokens per month:
Reka Core monthly cost
$200
100M tokens/mo (50/50 in/out)
GPT-4o monthly cost
$625
100M tokens/mo (50/50 in/out)
The Verdict
This is a close matchup. Reka Core and GPT-4o each win in different categories, making the choice highly dependent on your use case. Choose Reka Core for multimodal reasoning, video understanding, multilingual. Choose GPT-4o for general purpose, coding, analysis.
Last compared: April 2026 · Data sourced from public benchmarks and official pricing pages