GPT-2 vs Llama 3.1 Swallow 8B Instruct
GPT-2 (2019) and Llama 3.1 Swallow 8B Instruct (2025) are compact production models from OpenAI and Tokyo Institute of Technology. GPT-2 ships a 1k-token context window, while Llama 3.1 Swallow 8B Instruct 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 3.1 Swallow 8B Instruct fits 4x more tokens; pick it for long-context work and GPT-2 for tighter calls.
Decision scorecard
Local evidence first| Signal | GPT-2 | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | General |
| Context window | 1k | 4k |
| Cheapest output | - | - |
| Provider routes | 0 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use GPT-2 when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Llama 3.1 Swallow 8B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Llama 3.1 Swallow 8B Instruct has broader tracked provider coverage for fallback and route flexibility.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
GPT-2
Unavailable
No complete token price in local provider data
Llama 3.1 Swallow 8B Instruct
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 GPT-2 and Llama 3.1 Swallow 8B Instruct; plan for SDK, billing, or endpoint changes.
- No overlapping tracked provider route is sourced for Llama 3.1 Swallow 8B Instruct and GPT-2; plan for SDK, billing, or endpoint changes.
Specs
| Specification | ||
|---|---|---|
| Released | 2019-02-14 | 2025-01-01 |
| Context window | 1k | 4k |
| Parameters | 124M | 8B |
| Architecture | Decoder Only | Decoder Only |
| License | MITOSI-approved | Llama 2 Community |
| Openness | Open source | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: conditional |
| Knowledge cutoff | 2017-12 | 2023 |
Pricing and availability
| Pricing attribute | GPT-2 | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers | - |
Pricing not yet sourced for either model.
Capabilities
| Capability | GPT-2 | Llama 3.1 Swallow 8B Instruct |
|---|---|---|
| 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
- GPT-2 vs Qwen2-7B-Instruct
- Llama 3.1 Swallow 8B Instruct vs Qwen3.5-9B
- ELYZA Japanese Llama 2 13B vs Llama 3.1 Swallow 8B Instruct
- ELYZA Japanese Llama 2 7B vs Llama 3.1 Swallow 8B Instruct
- Llama 3.1 Swallow 8B Instruct vs Qwen2-7B-Instruct
- GPT-4 vs GPT-2
- Gemma 3 12B vs Llama 3.1 Swallow 8B Instruct
- Llama 3.1 Swallow 8B Instruct vs Qwen3.5-4B
Popular comparisons for GPT-2
Popular comparisons for Llama 3.1 Swallow 8B Instruct
Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.