Doubao Pro 256K vs Llama 3.1 Nemotron Nano VL 8B v1
Doubao Pro 256K (2024) and Llama 3.1 Nemotron Nano VL 8B v1 (2025) are compact production models from ByteDance and NVIDIA AI. Doubao Pro 256K ships a 256k-token context window, while Llama 3.1 Nemotron Nano VL 8B v1 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.
Doubao Pro 256K fits 64x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls.
Decision scorecard
Local evidence first| Signal | Doubao Pro 256K | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Best for | general production evaluation | multimodal apps |
| Decision fit | Long context | Vision |
| Context window | 256k | 4k |
| Cheapest output | $1.32/1M tokens | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- Doubao Pro 256K has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Doubao Pro 256K for Long context.
- Llama 3.1 Nemotron Nano VL 8B v1 uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Llama 3.1 Nemotron Nano VL 8B v1 for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Doubao Pro 256K
$919
Cheapest tracked route/tier: Volcengine
Llama 3.1 Nemotron Nano VL 8B 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
- No overlapping tracked provider route is sourced for Doubao Pro 256K and Llama 3.1 Nemotron Nano VL 8B v1; plan for SDK, billing, or endpoint changes.
- Llama 3.1 Nemotron Nano VL 8B v1 adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Llama 3.1 Nemotron Nano VL 8B v1 and Doubao Pro 256K; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2024-05-15 | 2025-03-01 |
| Context window | 256k | 4k |
| Parameters | — | 8B |
| Architecture | decoder only | decoder only |
| License | Proprietary | Llama 3 Community |
| Openness | Proprietary | Open weights |
| Commercial use | Commercial use with conditions | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Doubao Pro 256K | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Input price | $0.73/1M tokens | - |
| Output price | $1.32/1M tokens | - |
| Providers |
Capabilities
| Capability | Doubao Pro 256K | Llama 3.1 Nemotron Nano VL 8B v1 |
|---|---|---|
| Vision | No | Yes |
| Multimodal | No | Yes |
| Reasoning | No | No |
| Function calling | No | No |
| 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 rows are currently sourced for this pair.
Deep dive
The capability footprint differs most on vision: Llama 3.1 Nemotron Nano VL 8B v1 and multimodal input: Llama 3.1 Nemotron Nano VL 8B v1. Both models share the core language-model surface, so the practical split is not just feature count. Use those differences to decide whether the page is about raw model quality, agentic coding support, multimodal ingestion, or predictable structured API behavior.
Pricing coverage is uneven: Doubao Pro 256K has $0.73/1M input tokens and Llama 3.1 Nemotron Nano VL 8B v1 has no token price sourced yet. Provider availability is 1 tracked routes versus 1. Treat unknown pricing as an integration gap, then verify the route you will actually call before estimating production spend.
Choose Doubao Pro 256K when long-context analysis and larger context windows are central to the workload. Choose Llama 3.1 Nemotron Nano VL 8B v1 when vision-heavy evaluation are more important. For production, rerun your own prompts through the exact provider, region, and tool stack you plan to ship. This keeps the decision grounded in measurable tradeoffs instead of brand-level assumptions. It also helps separate model capability from provider packaging, which can change cost and latency.
FAQ
Which has a larger context window, Doubao Pro 256K or Llama 3.1 Nemotron Nano VL 8B v1?
Doubao Pro 256K supports 256k tokens, while Llama 3.1 Nemotron Nano VL 8B v1 supports 4k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Doubao Pro 256K or Llama 3.1 Nemotron Nano VL 8B v1 open source?
Doubao Pro 256K is listed under Proprietary. Llama 3.1 Nemotron Nano VL 8B v1 is listed under Llama 3 Community. License labels affect whether you can self-host, redistribute weights, or rely only on hosted APIs, so confirm the upstream license before deployment.
Which is better for vision, Doubao Pro 256K or Llama 3.1 Nemotron Nano VL 8B v1?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented vision signal in this comparison. If vision is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Which is better for multimodal input, Doubao Pro 256K or Llama 3.1 Nemotron Nano VL 8B v1?
Llama 3.1 Nemotron Nano VL 8B v1 has the clearer documented multimodal input signal in this comparison. If multimodal input is mission-critical, validate it against the provider endpoint because model-level support and API-level exposure can differ.
Where can I run Doubao Pro 256K and Llama 3.1 Nemotron Nano VL 8B v1?
Doubao Pro 256K is available on Volcengine. Llama 3.1 Nemotron Nano VL 8B v1 is available on NVIDIA NIM. Provider coverage can affect latency, region availability, compliance posture, and fallback options.
When should I pick Doubao Pro 256K over Llama 3.1 Nemotron Nano VL 8B v1?
Doubao Pro 256K fits 64x more tokens; pick it for long-context work and Llama 3.1 Nemotron Nano VL 8B v1 for tighter calls. If your workload also depends on long-context analysis, start with Doubao Pro 256K; if it depends on vision-heavy evaluation, run the same evaluation with Llama 3.1 Nemotron Nano VL 8B v1.
Continue comparing
Last reviewed: 2026-05-01. Data sourced from public model cards and provider documentation.