GPT-4.1 vs Codestral 2508 compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4.1 — 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 | GPT-4.1 | Codestral 2508 | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 1M tokens | 256K tokens | |
| Input price | $2/M | $0.3/M | |
| Output price | $8/M | $0.9/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Codestral 2508 is ~8.9× cheaper than GPT-4.1 on output tokens ($0.9 vs $8 per M tokens).
| Capability | GPT-4.1 | 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 | GPT-4.1 | Codestral 2508 |
|---|---|---|
| Cost-efficiency | 3.5 | 5.0 |
| Context window | 5.0 | 4.0 |
| Openness | 1.5 | 1.5 |
| Self-hosting | 1.0 | 1.0 |
| Multimodality | 5.0 | 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.
GPT-4.1 is a flagship large language model optimized for advanced instruction following, real-world software engineering, and long-context reasoning. It supports a 1 million token context window and outperforms GPT-4o and...
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
These variants are tracked but not compared here — one page per family keeps the comparison readable.
Codestral 2508 is cheaper on output ($0.9/M vs $8/M).
GPT-4.1 offers the larger context window (1M tokens).
Choose Codestral 2508 for the lower output price ($0.9/M vs $8/M). Choose GPT-4.1 if you need the larger 1M context window.
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