GPT-3.5 Turbo is OpenAI's fastest model. It can understand and generate natural language or code, and is optimized for chat and traditional completion tasks. Training data up to Sep 2021.
Model details →OpenAI: GPT-3.5 Turbo (batch) vs Reka Edge
Reka Edge wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
Reka Edge is an extremely efficient 7B multimodal vision-language model that accepts image/video+text inputs and generates text outputs. This model is optimized specifically to deliver industry-leading performance in image understanding, vi…
Model details →Side-by-side comparison
| Capability | OpenAI: GPT-3.5 Turbo (batch) | Reka Edge | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.25 | $0.10 | 🏆 Reka Edge |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $0.75 | $0.10 | 🏆 Reka Edge |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | Yes | 🏆 Reka Edge |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is OpenAI: GPT-3.5 Turbo (batch) better than Reka Edge?
Reka Edge wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between OpenAI: GPT-3.5 Turbo (batch) and Reka Edge?
Input: $0.25 vs $0.10 per 1M tokens. Output: $0.75 vs $0.10 per 1M tokens.
What context windows do OpenAI: GPT-3.5 Turbo (batch) and Reka Edge support?
OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens. Reka Edge supports up to 16K tokens.
Do both OpenAI: GPT-3.5 Turbo (batch) and Reka Edge support tool calling?
OpenAI: GPT-3.5 Turbo (batch): yes. Reka Edge: yes.
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