Mistral Small 3.2 24B
- Context
- 256K
- Released
- 1y ago
- Parameters
- 24B
- Input / 1M tokens
- $0.09
- Output / 1M tokens
- $0.25
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
- Mistral AI
- Model family
- Mistral Small
- Type
- Language model
- Predecessor
- —
- Successor
- —
- Released
- June 20, 2025
- Model ID
mistralai/mistral-small-3.2-24b-instruct- Openness
- Open weights
- License
- —
- Parameters
- 24B
- Input modalities
- image, text
- Output modalities
- text
- Modality
- text+image->text
- Tokenizer
- Mistral
- Max output tokens
- 16K
- Knowledge cutoff
- 2023-10-31
- Hugging Face
- mistralai/Mistral-Small-3.2-24B-Instruct-2506
- Source freshness
- Endpoints synced Oct 15, 2026, 2:18 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/fp8 | 128K | $0.08 | $0.20 | — | — | 99.71% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| parasail/bf16 | 131K | $0.09 | $0.30 | $0.05 | — | 98.75% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| venice/fp8 | 256K | $0.09 | $0.25 | — | — | 97.71% | ZDR: YesTraining: Unknown Prompt logging: Unknown Retention: Unknown Checked 2026-10-15 | |
| mistral/eu | 33K | $0.10 | $0.30 | $0.01 | — | 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.