GPT-4o vs Codestral 2508 (batch) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4o — 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 | GPT-4o | Codestral 2508 (batch) | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 256K tokens | |
| Input price | $2.5/M | $0.15/M | |
| Output price | $10/M | $0.45/M | |
| Vision / multimodal | Yes | No | |
| Tool / function calling | Yes | Yes | = Tie |
| Self-hostable | No (API only) | No (API only) | – |
| License | Proprietary | Proprietary | – |
Codestral 2508 (batch) is ~22× cheaper than GPT-4o on output tokens ($0.45 vs $10 per M tokens).
| Capability | GPT-4o | Codestral 2508 (batch) |
|---|---|---|
| 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-4o | 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 | 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-4o ("o" for "omni") is OpenAI's latest AI model, supporting both text and image inputs with text outputs. It maintains the intelligence level of [GPT-4 Turbo](/models/openai/gpt-4-turbo) while being twice as...
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 $10/M).
Codestral 2508 (batch) offers the larger context window (256K tokens).
Choose Codestral 2508 (batch) for the lower output price ($0.45/M vs $10/M). It also gives you the larger 256K context window.
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