GPT Audio Paid vs 
Codestral 2508 (batch) Paid
GPT Audio vs Codestral 2508 (batch) compared — price per token, context window, multimodality, openness and which to choose. Full 2026 breakdown.
GPT Audio — 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.
$10 /M outputManaged API (no infra to run)
$0.45 /M outputManaged API (no infra to run)
GPT Audio vs Codestral 2508 (batch) specs
| Spec | GPT Audio | 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 | No | 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 ~22× cheaper than GPT Audio on output tokens ($0.45 vs $10 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 Audio | Codestral 2508 (batch) |
|---|---|---|
| Open weights (downloadable) | ✗ | ✗ |
| Self-hostable | ✗ | ✗ |
| Runs fully offline | ✗ | ✗ |
| Vision / multimodal | ✗ | ✗ |
| Tool / function calling | ✓ | ✓ |
| 1M+ context window | ✗ | ✗ |
How GPT Audio and Codestral 2508 (batch) score
| Criterion | GPT Audio | 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 | 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.
What each model is
GPT Audio Paid
The gpt-audio model is OpenAI's first generally available audio model. The new snapshot features an upgraded decoder for more natural sounding voices and maintains better voice consistency. Audio is priced...
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 Audio vs Codestral 2508 (batch) — which is cheaper?
Codestral 2508 (batch) is cheaper on output ($0.45/M vs $10/M).
Which has the larger context window?
Codestral 2508 (batch) offers the larger context window (256K tokens).
GPT Audio vs Codestral 2508 (batch) — which should I pick in 2026?
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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