Sonar Deep Research vs Codestral 2508 (batch) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
Sonar Deep Research — full profile › · Codestral 2508 (batch) — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | Sonar Deep Research | Codestral 2508 (batch) | Winner |
|---|---|---|---|
| Maker | Perplexity | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 256K tokens | |
| Input price | $2/M | $0.15/M | |
| Output price | $8/M | $0.45/M | |
| Vision / multimodal | No | No | – |
| Tool / function calling | No | Yes | |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Codestral 2508 (batch) is ~18× cheaper than Sonar Deep Research on output tokens ($0.45 vs $8 per M tokens).
| Capability | Sonar Deep Research | Codestral 2508 (batch) |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✗ | ✓ |
| 1M+ context window | ✗ | ✗ |
| Criterion | Sonar Deep Research | Codestral 2508 (batch) |
|---|---|---|
| Cost-efficiency | 3.5 | 5.0 |
| Context window | 3.5 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 2.0 | 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.
Sonar Deep Research is a research-focused model designed for multi-step retrieval, synthesis, and reasoning across complex topics. It autonomously searches, reads, and evaluates sources, refining its approach as it gathers...
Mistral's cutting-edge language model for coding released end of July 2025. Codestral specializes in low-latency, high-frequency tasks such as fill-in-the-middle (FIM), code correction and test generation. [Blog Post](https://mistral.ai/ne
Codestral 2508 (batch) is cheaper on output ($0.45/M vs $8/M).
Codestral 2508 (batch) offers the larger context window (256K tokens).
Choose Codestral 2508 (batch) for the lower output price ($0.45/M vs $8/M). It also gives you the larger 256K context window.
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