Hexgrad
Kokoro 82M
- Context
- 4K
- Released
- 1y ago
- Parameters
- 82M
- Input / 1M tokens
- $0.62
- Output / 1M tokens
- $0.00
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
- Hexgrad
- Model family
- —
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- December 26, 2024
- Model ID
hexgrad/kokoro-82m- Openness
- Open weights
- License
- Apache-2.0
- Parameters
- 82M
- Input modalities
- text
- Output modalities
- speech
- Modality
- text->speech
- Tokenizer
- Other
- Max output tokens
- 4K
- Hugging Face
- —
- Source freshness
- Endpoints synced Oct 15, 2026, 1:46 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 |
|---|---|---|---|---|---|---|---|---|
| deepinfra/us | 4K | $0.62 | $0.00 | — | — | 100.00% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| together | 4K | $4.00 | $0.00 | — | — | 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.