o1-pro vs Codestral 2508 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
o1-pro — full profile › · Codestral 2508 — full profile ›
Prices & specs refreshed from live data · olud.ai
Open-model prices = cheapest provider via OpenRouter; official maker rates may be higher.
| Spec | o1-pro | Codestral 2508 | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 200K tokens | 256K tokens | |
| Input price | $150/M | $0.3/M | |
| Output price | $600/M | $0.9/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | No | Yes | |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Codestral 2508 is ~667× cheaper than o1-pro on output tokens ($0.9 vs $600 per M tokens).
| Capability | o1-pro | Codestral 2508 |
|---|---|---|
| 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 | o1-pro | Codestral 2508 |
|---|---|---|
| Cost-efficiency | 2.0 | 5.0 |
| Context window | 4.0 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 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.
The o1 series of models are trained with reinforcement learning to think before they answer and perform complex reasoning. The o1-pro model uses more compute to think harder and provide...
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 is cheaper on output ($0.9/M vs $600/M).
Codestral 2508 offers the larger context window (256K tokens).
Choose Codestral 2508 for the lower output price ($0.9/M vs $600/M). It also gives you the larger 256K context window.
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