Llama 2 7B Chat vs text-davinci
Llama 2 7B Chat (2023) and text-davinci (2022) are compact production models from AI at Meta and OpenAI. Llama 2 7B Chat ships a 4k-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.
Llama 2 7B Chat is safer overall; choose text-davinci when provider fit matters.
Decision scorecard
Local evidence first| Signal | Llama 2 7B Chat | text-davinci |
|---|---|---|
| Best for | provider-routed production | general production evaluation |
| Decision fit | Classification and JSON / Tool use | General |
| Context window | 4k | 4k |
| Cheapest output | $0.25/1M tokens | - |
| Provider routes | 10 tracked | 0 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Llama 2 7B Chat has broader tracked provider coverage for fallback and route flexibility.
- Llama 2 7B Chat uniquely exposes Structured outputs in local model data.
- Local decision data tags Llama 2 7B Chat for Classification and JSON / Tool use.
- 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.
Llama 2 7B Chat
$103
Cheapest tracked route/tier: Replicate API
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 Llama 2 7B Chat and text-davinci; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Structured outputs before moving production traffic.
- No overlapping tracked provider route is sourced for text-davinci and Llama 2 7B Chat; plan for SDK, billing, or endpoint changes.
- Llama 2 7B Chat adds Structured outputs in local capability data.
Specs
| Specification | ||
|---|---|---|
| Released | 2023-07-18 | 2022-01-27 |
| Context window | 4k | 4k |
| Parameters | 7B | 175B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | Proprietary |
| Openness | Open weights | Proprietary |
| Weights | Available | Not released |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: conditional |
| Knowledge cutoff | 2022-09 | 2021-06 |
Pricing and availability
| Pricing attribute | Llama 2 7B Chat | text-davinci |
|---|---|---|
| Input price | $0.05/1M tokens | - |
| Output price | $0.25/1M tokens | - |
| Providers | - |
Capabilities
| Capability | Llama 2 7B Chat | text-davinci |
|---|---|---|
| Vision | No | No |
| Multimodal | No | No |
| Reasoning | No | No |
| JSON / Tool use | No | No |
| Structured outputs | Yes | 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.
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Last reviewed: 2026-07-09. Data sourced from public model cards and provider documentation.