Llama 3.3 Nemotron Super 49B v1 vs Qianfan-OCR-Fast
Llama 3.3 Nemotron Super 49B v1 (2025) and Qianfan-OCR-Fast (2026) are compact production models from NVIDIA AI and Baidu AI. Llama 3.3 Nemotron Super 49B v1 ships a 128k-token context window, while Qianfan-OCR-Fast ships a 66k-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.
Qianfan-OCR-Fast is safer overall; choose Llama 3.3 Nemotron Super 49B v1 when long-context analysis matters.
Decision scorecard
Local evidence first| Signal | Llama 3.3 Nemotron Super 49B v1 | Qianfan-OCR-Fast |
|---|---|---|
| Best for | general production evaluation | multimodal apps |
| Decision fit | Long context | Vision |
| Context window | 128k | 66k |
| Cheapest output | - | $2.81/1M tokens |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 rows | 0 rows |
Decision tradeoffs
- 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.
- Qianfan-OCR-Fast uniquely exposes Vision and Multimodal in local model data.
- Local decision data tags Qianfan-OCR-Fast for Vision.
Monthly cost at traffic
Estimate token spend from the cheapest tracked input and output route or tier on this page.
Llama 3.3 Nemotron Super 49B v1
Unavailable
No complete token price in local provider data
Qianfan-OCR-Fast
$1,247
Cheapest tracked route/tier: OpenRouter
Cost delta unavailable until both models have sourced input and output token prices.
Switch friction
- No overlapping tracked provider route is sourced for Llama 3.3 Nemotron Super 49B v1 and Qianfan-OCR-Fast; plan for SDK, billing, or endpoint changes.
- Qianfan-OCR-Fast adds Vision and Multimodal in local capability data.
- No overlapping tracked provider route is sourced for Qianfan-OCR-Fast and Llama 3.3 Nemotron Super 49B v1; plan for SDK, billing, or endpoint changes.
- Check replacement coverage for Vision and Multimodal before moving production traffic.
Specs
| Specification | ||
|---|---|---|
| Released | 2025-06-01 | 2026-04-20 |
| Context window | 128k | 66k |
| Parameters | 49B | — |
| Architecture | decoder only | decoder only |
| License | NVIDIA Open Model | Proprietary |
| Openness | Open weights | Proprietary |
| Commercial use | Commercial use allowed | Commercial use with conditions |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.3 Nemotron Super 49B v1 | Qianfan-OCR-Fast |
|---|---|---|
| Input price | - | $0.68/1M tokens |
| Output price | - | $2.81/1M tokens |
| Providers |
Capabilities
| Capability | Llama 3.3 Nemotron Super 49B v1 | Qianfan-OCR-Fast |
|---|---|---|
| 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: Qianfan-OCR-Fast and multimodal input: Qianfan-OCR-Fast. 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: Llama 3.3 Nemotron Super 49B v1 has no token price sourced yet and Qianfan-OCR-Fast has $0.68/1M input tokens. 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 Llama 3.3 Nemotron Super 49B v1 when long-context analysis and larger context windows are central to the workload. Choose Qianfan-OCR-Fast 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. For teams standardizing a stack, that distinction is often the difference between a benchmark win and a reliable deployment.
FAQ
Which has a larger context window, Llama 3.3 Nemotron Super 49B v1 or Qianfan-OCR-Fast?
Llama 3.3 Nemotron Super 49B v1 supports 128k tokens, while Qianfan-OCR-Fast supports 66k tokens. That gap matters most for long documents, large codebases, retrieval-heavy agents, and conversations where earlier context must remain visible.
Is Llama 3.3 Nemotron Super 49B v1 or Qianfan-OCR-Fast open source?
Llama 3.3 Nemotron Super 49B v1 is listed under NVIDIA Open Model. Qianfan-OCR-Fast is listed under Proprietary. 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, Llama 3.3 Nemotron Super 49B v1 or Qianfan-OCR-Fast?
Qianfan-OCR-Fast 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. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
Which is better for multimodal input, Llama 3.3 Nemotron Super 49B v1 or Qianfan-OCR-Fast?
Qianfan-OCR-Fast 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 Llama 3.3 Nemotron Super 49B v1 and Qianfan-OCR-Fast?
Llama 3.3 Nemotron Super 49B v1 is available on NVIDIA NIM. Qianfan-OCR-Fast is available on OpenRouter. Provider coverage can affect latency, region availability, compliance posture, and fallback options. Use this as a quick comparison signal, then confirm the provider-specific limits before committing to production.
When should I pick Llama 3.3 Nemotron Super 49B v1 over Qianfan-OCR-Fast?
Qianfan-OCR-Fast is safer overall; choose Llama 3.3 Nemotron Super 49B v1 when long-context analysis matters. If your workload also depends on long-context analysis, start with Llama 3.3 Nemotron Super 49B v1; if it depends on vision-heavy evaluation, run the same evaluation with Qianfan-OCR-Fast.
Continue comparing
Last reviewed: 2026-05-18. Data sourced from public model cards and provider documentation.