NVIDIA model product
3-70B-Instruct.
Updated Aug 17, 2026. Default version: Llama 3.3 Nemotron Super 49B v1.5
This profile uses the model's current scored version. Arena ratings and prices are shown separately.
Benchmark scores for Llama-3.3 Nemotron Super 49B v1.
Benchmark | Score | Rank | Participants | Percentile | Evidence | Evaluated |
|---|
| BenchmarkMBPP | Score91.3% | Rank02 | Participants33 | Percentile96.9% | EvidenceC | Evaluated |
| BenchmarkMT-Bench | Score91.7% | Rank02 | Participants12 | Percentile90.9% | EvidenceC | Evaluated |
| BenchmarkBFCL v2 | Score73.7% | Rank03 | Participants5 | Percentile50.0% | EvidenceC | Evaluated |
| BenchmarkArena Hard | Score88.3% | Rank04 | Participants26 | Percentile88.0% | EvidenceC | Evaluated |
| BenchmarkMATH-500 | Score96.6% | Rank12 | Participants32 | Percentile64.5% | EvidenceC | Evaluated |
| BenchmarkAIME 2025 | Score58.4% | Rank98 | Participants115 | Percentile14.9% | EvidenceC | Evaluated |
| BenchmarkGPQA | Score66.7% | Rank147 | Participants239 | Percentile38.7% | EvidenceC | Evaluated |
Preference and agent-evaluation results for the default version.
Arena | Category | Rank | Rating / score | Votes | Observations | Result date |
|---|
| Arenatext | Categoryoverall | Rank193 | Rating / score1337.7 | Votes3,360 | ObservationsN/A | Result date |
| Arenatext style control | Categoryoverall | Rank206 | Rating / score1343.2 | Votes3,360 | ObservationsN/A | Result date |
Official vendor API pricing appears first, followed by individual provider offers.
Provider | Provider model ID | Region | Input / 1M | Output / 1M | Context | Updated |
|---|
| ProviderNvidia | Provider model IDnvidia/llama-3.3-nemotron-super-49b-v1.5 | Regionglobal | Input / 1MN/A | Output / 1MN/A | Context131.1K | Updated |
| ProviderDeep Infra | Provider model IDnvidia/Llama-3.3-Nemotron-Super-49B-v1.5 | Regionglobal | Input / 1M$0.40 | Output / 1M$0.40 | Context131.1K | Updated |
Official prices use only the vendor's configured official Provider and positive standard USD PAYG rates. Third-party offers remain explicitly labeled.
Provider-specific output speed and catalog latency for Llama 3.3 Nemotron Super 49B v1.5. Runtime does not affect the capability score.
No provider-specific speed or latency record is linked to the default version yet.
Output Speed is generated output tokens received per second. Catalog latency is reported separately from observed provider TTFT.
Technical details for the model's default version.
Available versions of this model. The score column identifies the version used in the overall ranking.
Version | Released | LLMBoard | Parameters | Context | Max output | Open weights | License |
|---|
| VersionLlama 3.3 Nemotron Super 49B v1.5 | Released | LLMBoardN/A | ParametersN/A | Context131.1K | Max output131.1K | Open weightsYes | LicenseUnspecified |
| VersionLlama-3.3 Nemotron Super 49B v1 | Released | LLMBoard22.3 | Parameters49.9B | Context131.1K | Max output131.1K | Open weightsYes | LicenseLlama 3.1 Community License |
Open a comparison with the three ranked models immediately above and below this model.
Recommendations prioritize the same model type and family, then the closest LLMBoard score.
Key information about Llama 3.3 Nemotron Super 49B and its available data.
3-70B-Instruct. It's post-trained for reasoning, chat, RAG, and tool calling, offering a balance between accuracy and efficiency (optimized for single H100). It underwent multi-phase post-training including SFT and RL (RLOO, RPO).
Data as of 2026-08-17.
Common questions about Llama 3.3 Nemotron Super 49B.
Llama 3.3 Nemotron Super 49B's default version was released on Jul 25, 2025.
No official standard PAYG price is currently available for Llama 3.3 Nemotron Super 49B. The lowest tracked third-party offer starts at $0.40 input and $0.40 output via Deep Infra.
Llama 3.3 Nemotron Super 49B was created by NVIDIA.
The default version has a 131.1K token context window.
Yes. The default version is marked as open weight under an unspecified license.
2 provider offerings are linked to the default version.
Nearby ranked alternatives include GPT-4o, Devstral Medium, Qwen3 VL 4B Thinking.