- Context
- 1M
- Released
- 1y ago
- Parameters
- —
- Input / 1M tokens
- $0.55
- Output / 1M tokens
- $2.20
Sources:OpenRouter
Benchmarks
DeepSWE is the primary coding benchmark where an exact model evaluation exists. Other sourced evaluations appear below; missing scores are not zero.
Not evaluated in DeepSWE 1.1 as of 2026-09-22. Results are only shown for exact model versions in the official dataset. Official leaderboard.
No benchmark results have been matched to this model yet.
Specifications
- Developer
- MiniMax
- Model family
- MiniMax
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- June 16, 2025
- Model ID
minimax/minimax-m1- Openness
- Open weights
- License
- Apache-2.0
- Parameters
- —
- Input modalities
- text
- Output modalities
- text
- Modality
- text->text
- Tokenizer
- Other
- Max output tokens
- 40K
- Knowledge cutoff
- 2024-06-30
- Hugging Face
- —
- Source freshness
- Endpoints synced Oct 15, 2026, 2:17 PM UTC
Infrastructure
Provider availability
| Provider | Endpoint | Context | Input /M tokens | Output /M tokens | Cached input /M tokens | Cache write /M tokens | Uptime 1d | Data handling |
|---|---|---|---|---|---|---|---|---|
| minimax | 1M | $0.40 | $2.20 | — | — | 0.00% | ZDR: NoTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| novita/bf16 | 1M | $0.55 | $2.20 | — | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 |
Provider data:OpenRouter
Deployment graph
Can I run this?
Vertical Tabs only shows compatibility when it has structured evidence tying this exact model to hardware, runtime, quantization, memory use, and observed performance.