This is a series of models designed to replicate the prose quality of the Claude 3 models, specifically Sonnet(https://openrouter.ai/anthropic/claude-3.5-sonnet) and Opus(https://openrouter.ai/anthropic/claude-3-opus). The model is fine-tu…
Model details →Magnum v4 72B vs OpenAI: GPT-3.5 Turbo 16k
OpenAI: GPT-3.5 Turbo 16k wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
This model offers four times the context length of gpt-3.5-turbo, allowing it to support approximately 20 pages of text in a single request at a higher cost. Training data: up to Sep 2021.
Model details →Side-by-side comparison
| Capability | Magnum v4 72B | OpenAI: GPT-3.5 Turbo 16k | Winner |
|---|---|---|---|
| Context window Maximum number of input tokens the model can attend to in a single request. | 16K | 16K | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Input price (per 1M) Cost per million input tokens billed by the provider. | $3.00 | $3.00 | Tie |
| Output price (per 1M) Cost per million output tokens billed by the provider. | $5.00 | $4.00 | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Tool / function calling First-class support for emitting structured tool calls. | — | Yes | 🏆 OpenAI: GPT-3.5 Turbo 16k |
| Vision input Accepts image inputs alongside text. | — | — | Tie |
| Reasoning mode Internal chain-of-thought / extended-thinking support. | — | — | Tie |
Frequently asked questions
Is Magnum v4 72B better than OpenAI: GPT-3.5 Turbo 16k?
OpenAI: GPT-3.5 Turbo 16k wins on 3 of 6 axes — pricing and capability skew in its favour for most workloads.
What's the price difference between Magnum v4 72B and OpenAI: GPT-3.5 Turbo 16k?
Input: $3.00 vs $3.00 per 1M tokens. Output: $5.00 vs $4.00 per 1M tokens.
What context windows do Magnum v4 72B and OpenAI: GPT-3.5 Turbo 16k support?
Magnum v4 72B supports up to 16K tokens. OpenAI: GPT-3.5 Turbo 16k supports up to 16K tokens.
Do both Magnum v4 72B and OpenAI: GPT-3.5 Turbo 16k support tool calling?
Magnum v4 72B: not advertised. OpenAI: GPT-3.5 Turbo 16k: yes.