Llama 3.1 Swallow 8B Instruct vs Llama 3.3 Nemotron Super 49B v1
Llama 3.1 Swallow 8B Instruct (2025) and Llama 3.3 Nemotron Super 49B v1 (2025) are compact production models from Tokyo Institute of Technology and NVIDIA AI. Llama 3.1 Swallow 8B Instruct ships a 4k-token context window, while Llama 3.3 Nemotron Super 49B v1 ships a 128k-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.
Llama 3.3 Nemotron Super 49B v1 fits 32x more tokens; pick it for long-context work and Llama 3.1 Swallow 8B Instruct for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Swallow 8B Instruct | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | General | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Use Llama 3.1 Swallow 8B Instruct when your own prompt tests beat the comparison signals; the local data does not show a decisive standalone advantage yet.
- Llama 3.3 Nemotron Super 49B v1 has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Llama 3.3 Nemotron Super 49B v1 for Long context.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.1 Swallow 8B Instruct
Unavailable
No complete token price in local provider data
Llama 3.3 Nemotron Super 49B v1
Unavailable
No complete token price in local provider data
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
- Provider overlap exists on NVIDIA NIM; start route-level A/B tests there.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-01-01 | 2025-06-01 |
| Context window | 4k | 128k |
| Parameters | 8B | 49B |
| Architecture | Decoder Only | Decoder Only |
| License | Llama 2 Community | NVIDIA Open Model |
| Openness | Open weights | Open weights |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: conditional | Commercial use: permitted |
| Knowledge cutoff | 2023 | - |
Pricing and availability
| Pricing attribute | Llama 3.1 Swallow 8B Instruct | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 Swallow 8B Instruct | Llama 3.3 Nemotron Super 49B v1 |
|---|---|---|
| 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
- Llama 3.1 Swallow 8B Instruct vs Qwen2-7B-Instruct
- Llama 3.1 Swallow 8B Instruct vs Qwen3.5-9B
- Hunyuan Hy3 Preview vs Llama 3.3 Nemotron Super 49B v1
- ELYZA Japanese Llama 2 13B vs Llama 3.1 Swallow 8B Instruct
- ELYZA Japanese Llama 2 7B vs Llama 3.1 Swallow 8B Instruct
- Gemma 3 12B vs Llama 3.1 Swallow 8B Instruct
Popular comparisons for Llama 3.1 Swallow 8B Instruct
Popular comparisons for Llama 3.3 Nemotron Super 49B v1
- Llama 3.3 Nemotron Super 49B v1 vs Hunyuan Hy3 Preview
- Llama 3.3 Nemotron Super 49B v1 vs Nemotron Mini 4B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3 Swallow 70B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3 Taiwan 70B Instruct
- Llama 3.3 Nemotron Super 49B v1 vs Llama 3.1 NemoGuard 8B Content Safety
- Llama 3.3 Nemotron Super 49B v1 vs Xiaomi MiMo-V2.5-Pro
Last reviewed: 2026-06-30. Data sourced from public model cards and provider documentation.