DeepSeek-V3.1 Terminus is an update to [DeepSeek V3.1](/deepseek/deepseek-chat-v3.1) that maintains the model's original capabilities while addressing issues reported by users, including language consistency and agent capabilities, further …
Model details →DeepSeek: DeepSeek V3.1 Terminus vs OpenAI: GPT-3.5 Turbo (batch)
DeepSeek: DeepSeek V3.1 Terminus and OpenAI: GPT-3.5 Turbo (batch) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
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 →Side-by-side comparison
| Capability | DeepSeek: DeepSeek V3.1 Terminus | OpenAI: GPT-3.5 Turbo (batch) | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 164K | 16K | 🏆 DeepSeek: DeepSeek V3.1 Terminus |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $0.27 | $0.25 | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $1.00 | $0.75 | 🏆 OpenAI: GPT-3.5 Turbo (batch) |
| Tool / function calling First-class support for emitting structured tool calls. | Yes | Yes | Tie |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | Yes | — | 🏆 DeepSeek: DeepSeek V3.1 Terminus |
Frequently asked questions
Is DeepSeek: DeepSeek V3.1 Terminus better than OpenAI: GPT-3.5 Turbo (batch)?
DeepSeek: DeepSeek V3.1 Terminus and OpenAI: GPT-3.5 Turbo (batch) are evenly matched on 6 axes — pick the one whose provider, latency, or licensing fits your stack.
What's the price difference between DeepSeek: DeepSeek V3.1 Terminus and OpenAI: GPT-3.5 Turbo (batch)?
Input: $0.27 vs $0.25 per 1M tokens. Output: $1.00 vs $0.75 per 1M tokens.
What context windows do DeepSeek: DeepSeek V3.1 Terminus and OpenAI: GPT-3.5 Turbo (batch) support?
DeepSeek: DeepSeek V3.1 Terminus supports up to 164K tokens. OpenAI: GPT-3.5 Turbo (batch) supports up to 16K tokens.
Do both DeepSeek: DeepSeek V3.1 Terminus and OpenAI: GPT-3.5 Turbo (batch) support tool calling?
DeepSeek: DeepSeek V3.1 Terminus: yes. OpenAI: GPT-3.5 Turbo (batch): yes.
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