GPT-4 Turbo (batch) Paid vs 
Codestral 2508 (batch) Paid
GPT-4 Turbo (batch) vs Codestral 2508 (batch) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT-4 Turbo (batch) — 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.
$15 /M outputManaged API (no infra to run)
$0.45 /M outputManaged API (no infra to run)
GPT-4 Turbo (batch) vs Codestral 2508 (batch) specs
| Spec | GPT-4 Turbo (batch) | Codestral 2508 (batch) | Winner |
|---|---|---|---|
| Maker | OpenAI | Mistral AI | – |
| Type | Proprietary | Proprietary | – |
| Context window | 128K tokens | 256K tokens | |
| Input price | $5/M | $0.15/M | |
| Output price | $15/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 | – |
Price gap & when to choose each
Codestral 2508 (batch) is ~33× cheaper than GPT-4 Turbo (batch) on output tokens ($0.45 vs $15 per M tokens).
- You want frontier performance through a managed API
- You value reliability & ecosystem
- You don't want to manage infrastructure
- You want frontier performance through a managed API
- You need the longer 256K context window
- You want the lower output price
- You value reliability & ecosystem
- You don't want to manage infrastructure
Feature comparison
| Capability | GPT-4 Turbo (batch) | Codestral 2508 (batch) |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✓ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
Benchmarks: GPT-4 Turbo (batch) vs Codestral 2508 (batch)
Independent benchmark scores measured by Artificial Analysis. Higher is better (except latency).
Benchmark data by Artificial Analysis.
How GPT-4 Turbo (batch) and Codestral 2508 (batch) score
| Criterion | GPT-4 Turbo (batch) | Codestral 2508 (batch) |
|---|---|---|
| Cost-efficiency | 3.0 | 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.
What each model is
GPT-4 Turbo (batch) Paid
The latest GPT-4 Turbo model with vision capabilities. Vision requests can now use JSON mode and function calling. Training data: up to December 2023.
Codestral 2508 (batch) Paid
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
Frequently asked questions
GPT-4 Turbo (batch) vs Codestral 2508 (batch) — which is cheaper?
Codestral 2508 (batch) is cheaper on output ($0.45/M vs $15/M).
Which has the larger context window?
Codestral 2508 (batch) offers the larger context window (256K tokens).
GPT-4 Turbo (batch) vs Codestral 2508 (batch) — which should I pick in 2026?
Choose Codestral 2508 (batch) for the lower output price ($0.45/M vs $15/M). It also gives you the larger 256K context window.
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