Text Embedding 3 (Large) is 78% cheaper than Codestral 22B on blended 3:1 token pricing. Text Embedding 3 (Large) costs $0.13/1M in and $0.00/1M out, while Codestral 22B costs $0.30/1M in and $0.90/1M out.
Text Embedding 3 (Large) vs Codestral 22B
Compare verified input/output token rates, prompt caching discounts, latency tiers, and context limits between OpenAI and Mistral AI.
| Metric / Feature | Text Embedding 3 (Large) (OpenAI) | Codestral 22B (Mistral AI) |
|---|---|---|
| Input Price ($ / 1M Tokens) | $0.13 | $0.30 |
| Output Price ($ / 1M Tokens) | $0.00 | $0.90 |
| Prompt Caching Input Rate | Not Available | Not Available |
| Blended 3:1 Rate (Production) | $0.098 / 1M | $0.450 / 1M |
| Max Context Window | 8k | 128k |
| Multimodal Vision | ❌ Text Only | ❌ Text Only |
| MMLU Benchmark | N/A | 81.1% |
| Throughput & Latency | Fast | Ultra-Fast (~80 t/s) |
| Best For | Dense multilingual retrieval, legal/medical knowledge bases | Fill-in-the-middle code completion, automated unit tests, IDE integration |
When to Choose Text Embedding 3 (Large)
Choose Text Embedding 3 (Large) if your workload requires dense multilingual retrieval, legal/medical knowledge bases. Ideal for teams needing OpenAI's infrastructure and ecosystem tooling.
When to Choose Codestral 22B
Choose Codestral 22B if your primary objective is fill-in-the-middle code completion, automated unit tests, ide integration. Ideal for scaling high-throughput pipelines with Mistral AI.
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