Mistral 7B v0.1 vs text-davinci
Mistral 7B v0.1 (2023) and text-davinci (2022) are compact production models from MistralAI and OpenAI. Mistral 7B v0.1 ships a 8k-token context window, while text-davinci ships a 4k-token context window. This comparison covers specs, pricing, API access, capabilities, benchmarks, input and output token costs, and production fit for coding and agent workloads. It focuses on practical selection signals rather than broad model-family marketing.
Mistral 7B v0.1 is safer overall; choose text-davinci when provider fit matters.
Decision scorecard
Local evidence first| Signal | Mistral 7B v0.1 | text-davinci |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | General | General |
| Context window | 8k | 4k |
| Cheapest output | $0.15/1M tokens | - |
| Provider routes | 16 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Mistral 7B v0.1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Mistral 7B v0.1 has broader tracked provider coverage for fallback and route flexibility.
- Use text-davinci when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Mistral 7B v0.1
$77.50
Cheapest tracked route/tier: DeepInfra
text-davinci
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Mistral 7B v0.1 and text-davinci; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for text-davinci and Mistral 7B v0.1; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-09-27 | 2022-01-27 |
| Context window | 8k | 4k |
| Parameters | 7B | 175B |
| Architecture | Decoder Only | Decoder Only |
| License | Apache 2.0OSI-approved | Proprietary |
| Openness | Open source | Proprietary |
| Weights | Unknown | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2023-12 | 2021-06 |
Pricing and availability
| Pricing attribute | Mistral 7B v0.1 | text-davinci |
|---|---|---|
| Input price | $0.05/1M tokens | - |
| Output price | $0.15/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Mistral 7B v0.1 | text-davinci |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | No | No |
| Code execution | No | No |
| IDE integration | No | No |
| Computer use | No | No |
| Parallel agents | No | No |
Benchmarks
No shared benchmark scores are currently available for this pair.
Continue comparing
Popular comparisons for Mistral 7B v0.1
Popular comparisons for text-davinci
Last reviewed: 2026-07-11. Data sourced from public model cards and provider documentation.