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Reka CorevsGPT-o3

Reka AI vs OpenAI — Side-by-side model comparison

Tied — both models win in equal categories

Head-to-Head Comparison

MetricReka CoreGPT-o3
Provider
Arena Rank
#17
#2
Context Window
128K
200K
Input Pricing
$2.00/1M tokens
$2.00/1M tokens
Output Pricing
$2.00/1M tokens
$8.00/1M tokens
Parameters
67B
Undisclosed
Open Source
No
No
Best For
Multimodal reasoning, video understanding, multilingual
Advanced reasoning, agentic tasks, research
Release Date
Apr 15, 2024
Apr 16, 2025

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-o3

GPT-o3 is OpenAI's most advanced reasoning model, succeeding o1 as the frontier of deliberative AI. It uses an enhanced chain-of-thought approach where the model spends more compute time 'thinking' before responding, dramatically improving performance on complex STEM, mathematical, and logical reasoning tasks. With a 200K token context window and the ability to use tools during reasoning, o3 represents a significant leap in AI problem-solving capabilities. It achieved state-of-the-art results on the ARC-AGI benchmark, demonstrating near-human performance on novel reasoning challenges. The model is particularly strong at multi-step mathematical proofs, complex code debugging, and scientific analysis where careful step-by-step reasoning is essential. Originally priced at a premium, an 80% price reduction in June 2025 made o3 accessible to a much broader range of developers and applications.

View OpenAI profile →

Key Differences: Reka Core vs GPT-o3

1

GPT-o3 ranks higher in arena benchmarks (#2) indicating stronger overall performance.

2

GPT-o3 supports a larger context window (200K), allowing it to process longer documents in a single request.

R

When to use Reka Core

  • +Your use case involves multimodal reasoning, video understanding, multilingual
View full Reka Core specs →
G

When to use GPT-o3

  • +You need the highest quality output based on arena rankings
  • +You need to process long documents (200K context)
  • +Your use case involves advanced reasoning, agentic tasks, research
View full GPT-o3 specs →

Cost Analysis

Both models have similar pricing. For a typical enterprise workload processing 100M tokens per month:

Reka Core monthly cost

$200

100M tokens/mo (50/50 in/out)

GPT-o3 monthly cost

$500

100M tokens/mo (50/50 in/out)

The Verdict

This is a close matchup. Reka Core and GPT-o3 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-o3 for advanced reasoning, agentic tasks, research.

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

Frequently Asked Questions

Which is better, Reka Core or GPT-o3?
Reka Core and GPT-o3 are closely matched, each winning in different categories. Reka Core excels at multimodal reasoning, video understanding, multilingual, while GPT-o3 is optimized for advanced reasoning, agentic tasks, research. We recommend testing both for your specific use case.
How does Reka Core pricing compare to GPT-o3?
Reka Core charges $2.00 per 1M input tokens and $2.00 per 1M output tokens. GPT-o3 charges $2.00 per 1M input tokens and $8.00 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 Reka Core and GPT-o3?
Reka Core supports a 128K token context window, while GPT-o3 supports 200K tokens. GPT-o3 can process longer documents, codebases, and conversations in a single request. Context window size matters most for tasks involving long documents, large codebases, or extended conversations.
Can I use Reka Core or GPT-o3 for free?
Reka Core is a paid API model starting at $2.00 per 1M input tokens. GPT-o3 is a paid API model starting at $2.00 per 1M input tokens.
Which model has better benchmarks, Reka Core or GPT-o3?
Reka Core holds arena rank #17, while GPT-o3 holds rank #2. GPT-o3 performs better in overall arena benchmarks, which aggregate human preference ratings across coding, reasoning, and general tasks. Note that benchmarks don't capture every use case — we recommend testing both models on your specific tasks.
Is Reka Core or GPT-o3 better for coding?
Reka Core's primary strength is multimodal reasoning, video understanding, multilingual. GPT-o3's primary strength is advanced reasoning, agentic tasks, research. For coding specifically, arena rank and code-specific benchmarks are the best indicators of performance.