GPT-3.5 Turbo 16k vs MiniMax M2-her
How do these models stack up? Below is an expert side-by-side comparison of specifications, context window capacity, live pricing per million tokens, and standardized benchmark scores for GPT-3.5 Turbo 16k and MiniMax M2-her.
GPT-3.5 Turbo 16k
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...
MiniMax M2-her
MiniMax M2-her is a dialogue-first large language model built for immersive roleplay, character-driven chat, and expressive multi-turn conversations. Designed to stay consistent in tone and personality, it supports rich message...
Technical Specifications
| Specification | GPT-3.5 Turbo 16k | MiniMax M2-her |
|---|---|---|
| Provider | OpenAI | MiniMax |
| Context Window | 16,385 tokens | 65,536 tokens |
| Agent Suitability | N/A | N/A |
| Time to First Token (TTFT) | N/A | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2023-08-28 | 2026-01-23 |
API Pricing Comparison
Input Price per Million Tokens
GPT-3.5 Turbo 16k
$3.00
MiniMax M2-her
$0.30
Output Price per Million Tokens
GPT-3.5 Turbo 16k
$4.00
MiniMax M2-her
$1.20
Want to test both models live?
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Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
GPT-3.5 Turbo 16k Quirks & Gotchas
No developer gotchas reported.
MiniMax M2-her Quirks & Gotchas
No developer gotchas reported.