Gemini 3.5 Flash 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 Gemini 3.5 Flash and MiniMax M2-her.
Gemini 3.5 Flash
Gemini 3.5 Flash is Google's high-efficiency multimodal model, bringing near-Pro level coding and reasoning at Flash-tier cost and speed. It is highly optimized for coding proficiency and parallel agentic execution...
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 | Gemini 3.5 Flash | MiniMax M2-her |
|---|---|---|
| Provider | MiniMax | |
| Context Window | 1,048,576 tokens | 65,536 tokens |
| Agent Suitability | 88/100 | N/A |
| Time to First Token (TTFT) | 200 ms | N/A |
| Deployment Model | managed api | managed api |
| Production Stability | stable | stable |
| API Available | Yes | Yes |
| Released Date | 2026-05-19 | 2026-01-23 |
API Pricing Comparison
Input Price per Million Tokens
Gemini 3.5 Flash
$1.50
MiniMax M2-her
$0.30
Output Price per Million Tokens
Gemini 3.5 Flash
$9.00
MiniMax M2-her
$1.20
Want to test both models live?
Run side-by-side prompt prompts in our dynamic Sandbox. Check execution speeds, latency metrics, and compute actual costs in real-time.
Benchmark Performance Metrics
Scores show the raw performance percentages verified across key evaluation suites. Higher bars indicate superior accuracy and capability in that domain.
Gemini 3.5 Flash Quirks & Gotchas
- ▸Excellent multimodal performance — native video understanding
- ▸Tool calling via Google's native function_declarations in Vertex AI
MiniMax M2-her Quirks & Gotchas
No developer gotchas reported.