DeepSeek V4 Pro vs Saba compared — price per token, context window, multimodality, openness and which to choose. Can the open-source model replace the paid one? Full 2026 breakdown.
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | DeepSeek V4 Pro | Saba |
|---|---|---|
| Maker | DeepSeek | Mistral AI |
| Type | Open-weight | Proprietary |
| Context window | 1M tokens | 33K tokens |
| Input price | $0.44/M · free self-host | $0.2/M |
| Output price | $0.87/M · free self-host | $0.6/M |
| Vision / multimodal | No | No |
| Tool / function calling | Yes | Yes |
| Self-hostable | Yes | No (API only) |
| License | MIT | Proprietary |
| Capability | DeepSeek V4 Pro | Saba |
|---|---|---|
| Open weights (downloadable) | ✓ | ✗ |
| Self-hostable | ✓ | ✗ |
| Runs fully offline | ✓ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✓ | ✗ |
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
| Criterion | DeepSeek V4 Pro | Saba |
|---|---|---|
| Cost-efficiency | 5.0 | 5.0 |
| Context window | 5.0 | 2.5 |
| Openness | 5.0 | 1.5 |
| Self-hosting | 5.0 | 1.0 |
| Multimodality | 3.5 | 3.5 |
Scores come from live data — output price (cost), context length, open vs closed weights (openness & self-hosting) and vision/tool support (multimodality). Raw task quality isn't scored here; it depends on your benchmark — see the verdict.
DeepSeek V4 Pro is a large-scale Mixture-of-Experts model from DeepSeek with 1.6T total parameters and 49B activated parameters, supporting a 1M-token context window. It is designed for advanced reasoning, coding,...
Mistral Saba is a 24B-parameter language model specifically designed for the Middle East and South Asia, delivering accurate and contextually relevant responses while maintaining efficient performance. Trained on curated regional...
These variants are tracked but not compared here — one page per family keeps the comparison readable.
DeepSeek V4 Pro is open-weight and competitive on many tasks, but Saba may still lead on the hardest reasoning and agentic work. The gap keeps narrowing — benchmark both on your actual use case before deciding.
Yes. DeepSeek V4 Pro has open weights, so you can self-host it on your own GPUs or run it via a low-cost API. Saba is API-only and cannot be self-hosted.
Choose DeepSeek V4 Pro if you want to self-host, keep your data private and skip per-token fees — it's open-weight and runs on your own hardware. Choose Saba if you want frontier capability through a managed API with zero infrastructure to run.
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