Llama 3.1 Nemotron 70B Reward vs Stockmark 2 100B Instruct
Llama 3.1 Nemotron 70B Reward (2024) and Stockmark 2 100B Instruct (2025) are compact production models from NVIDIA AI and Stockmark. Llama 3.1 Nemotron 70B Reward ships a 4k-token context window, while Stockmark 2 100B Instruct 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.
Stockmark 2 100B Instruct fits 32x more tokens; pick it for long-context work and Llama 3.1 Nemotron 70B Reward for tighter calls.
Decision scorecard
Local evidence first| Signal | Llama 3.1 Nemotron 70B Reward | Stockmark 2 100B Instruct |
|---|---|---|
| Best for | general production evaluation | general production evaluation |
| Decision fit | Classification | Long context |
| Context window | 4k | 128k |
| Cheapest output | - | - |
| Provider routes | 1 tracked | 1 tracked |
| Shared benchmarks | 0 shared | 0 shared |
Decision tradeoffs
- Local decision data tags Llama 3.1 Nemotron 70B Reward for Classification.
- Stockmark 2 100B Instruct has the larger context window for long prompts, retrieval packs, or transcript analysis.
- Local decision data tags Stockmark 2 100B Instruct 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 Nemotron 70B Reward
Unavailable
No complete token price in local provider data
Stockmark 2 100B 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
- 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 | 2024-10-01 | 2025-06-01 |
| Context window | 4k | 128k |
| Parameters | 70B | 100B |
| Architecture | Decoder Only | Decoder Only |
| License | NVIDIA Open Model | MITOSI-approved |
| Openness | Open weights | Open source |
| Weights | Unknown | Unknown |
| Code | Unknown | Unknown |
| Commercial use | Commercial use: permitted | Commercial use: permitted |
| Knowledge cutoff | - | - |
Pricing and availability
| Pricing attribute | Llama 3.1 Nemotron 70B Reward | Stockmark 2 100B Instruct |
|---|---|---|
| Input price | - | - |
| Output price | - | - |
| Providers |
Pricing not yet sourced for either model.
Capabilities
| Capability | Llama 3.1 Nemotron 70B Reward | Stockmark 2 100B 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.
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Last reviewed: 2026-09-08. Data sourced from public model cards and provider documentation.