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