Auto-generated comparison

DeepSeek Chat (legacy id) vs OpenAI: GPT-3.5 Turbo (batch)

OpenAI: GPT-3.5 Turbo (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

Side-by-side comparison

CapabilityDeepSeek Chat (legacy id)OpenAI: GPT-3.5 Turbo (batch)Winner
Context window
Maximum number of input tokens the model can attend to in a single request.
164K16K🏆 DeepSeek Chat (legacy id)
Input price (per 1M)
Cost per million input tokens billed by the provider.
$0.26$0.25🏆 OpenAI: GPT-3.5 Turbo (batch)
Output price (per 1M)
Cost per million output tokens billed by the provider.
$1.03$0.75🏆 OpenAI: GPT-3.5 Turbo (batch)
Tool / function calling
First-class support for emitting structured tool calls.
YesYesTie
Vision input
Accepts image inputs alongside text.
Tie
Reasoning mode
Internal chain-of-thought / extended-thinking support.
Tie

Frequently asked questions

Is DeepSeek Chat (legacy id) better than OpenAI: GPT-3.5 Turbo (batch)?

OpenAI: GPT-3.5 Turbo (batch) wins on 2 of 6 axes — pricing and capability skew in its favour for most workloads.

What's the price difference between DeepSeek Chat (legacy id) and OpenAI: GPT-3.5 Turbo (batch)?

Input: $0.26 vs $0.25 per 1M tokens. Output: $1.03 vs $0.75 per 1M tokens.

What context windows do DeepSeek Chat (legacy id) and OpenAI: GPT-3.5 Turbo (batch) support?

DeepSeek Chat (legacy id) supports up to 164K tokens. OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens.

Do both DeepSeek Chat (legacy id) and OpenAI: GPT-3.5 Turbo (batch) support tool calling?

DeepSeek Chat (legacy id): yes. OpenAI: GPT-3.5 Turbo (batch): yes.

Compare DeepSeek Chat (legacy id) with other models

Compare OpenAI: GPT-3.5 Turbo (batch) with other models