GLM 4.7 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 GLM 4.7 Flash and MiniMax M2-her.
GLM 4.7 Flash
As a 30B-class SOTA model, GLM-4.7-Flash offers a new option that balances performance and efficiency. It is further optimized for agentic coding use cases, strengthening coding capabilities, long-horizon task planning,...
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 | GLM 4.7 Flash | MiniMax M2-her |
|---|---|---|
| Provider | Zhipu AI | MiniMax |
| Context Window | 202,752 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 | 2026-01-19 | 2026-01-23 |
API Pricing Comparison
Input Price per Million Tokens
GLM 4.7 Flash
$0.06
MiniMax M2-her
$0.30
Output Price per Million Tokens
GLM 4.7 Flash
$0.40
MiniMax M2-her
$1.20
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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.
GLM 4.7 Flash Quirks & Gotchas
No developer gotchas reported.
MiniMax M2-her Quirks & Gotchas
No developer gotchas reported.