Llama 3.1 Nemotron 70B Instruct vs Solar Pro 2
Solar Pro 2 comes out ahead, 52 to 45 on our weighted score, and it is the cheaper option too.
NVIDIALlama 3.1 Nemotron 70B Instruct
45/100- ECI—
- Price$0.478 / $0.504
- Context128K
- Our pick
Upstage
Solar Pro 2
52/100- ECI—
- Price$0.25 / $0.25
- Context66K
Add a model
Make it a three-way comparison.
Solar Pro 2 is our pick
Solar Pro 2 is the better all-round choice, scoring 52/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. Llama 3.1 Nemotron 70B Instruct wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
- CapabilityNot enough dataNo independent benchmark covers every model here yet
- Lowest priceSolar Pro 2Solar Pro 2 $0.25 · Llama 3.1 Nemotron 70B Instruct $0.485 per 1M tokens (3:1 blend)
- Longest contextLlama 3.1 Nemotron 70B InstructLlama 3.1 Nemotron 70B Instruct 128,000 · Solar Pro 2 65,536 tokens
- Widest inputsSame inputsLlama 3.1 Nemotron 70B Instruct: Text · Solar Pro 2: Text
- Self-hostingLlama 3.1 Nemotron 70B InstructPublishes downloadable weights
| Measure | Weight | Llama 3.1 Nemotron 70B Instruct | Solar Pro 2 |
|---|---|---|---|
| Price | 50% | 65 | 78 |
| Inputs & features | 30% | 25 | 35 |
| Context window | 20% | 24 | 12 |
| Overall | 100% | 45/100 | 52/100 |
Left out because at least one model lacks the data: capability. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Llama 3.1 Nemotron 70B InstructNVIDIA | Solar Pro 2Upstage |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.478 | $0.25 (best) |
| Output | $0.504 | $0.25 (best) |
| Cached input | — | — |
| Blended (3:1) | $0.485 | $0.25 (best) |
| Long-context rate | Same rate | Same rate |
| Price source | Median of 2 providers | Official Upstage API |
| Limits | ||
| Context window | 128,000 tokens (best) | 65,536 tokens |
| Max output | 8,192 tokens | 8,192 tokens |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | No | Yesminimal · high |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Open | Proprietary |
| API model ID | nvidia/llama-3.1-nemotron-70b-instruct | solar-pro2 |
| API providers | 3 (best) | 2 |
| Released | Apr 15, 2025 | May 20, 2025 |
| Knowledge cutoff | — | Mar 2025 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Llama 3.1 Nemotron 70B Instruct$5.79
- Solar Pro 2$3.00
Which should you choose?
Which is better: Llama 3.1 Nemotron 70B Instruct or Solar Pro 2?
Solar Pro 2 is the better all-round choice, scoring 52/100 against Llama 3.1 Nemotron 70B Instruct (45). It leads on price and inputs & features. Llama 3.1 Nemotron 70B Instruct wins on context window. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Llama 3.1 Nemotron 70B Instruct or Solar Pro 2?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Llama 3.1 Nemotron 70B Instruct costs $0.478 input / $0.504 output per million tokens (median across 2 API providers; free on Nvidia). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $0.485 for Llama 3.1 Nemotron 70B Instruct (1.9× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Llama 3.1 Nemotron 70B Instruct has not been scored yet and Solar Pro 2 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Llama 3.1 Nemotron 70B Instruct and Solar Pro 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.
Which has the bigger context window?
Llama 3.1 Nemotron 70B Instruct has the largest context window at 128,000 tokens, against 65,536 for Solar Pro 2. Maximum output per response: Llama 3.1 Nemotron 70B Instruct up to 8,192, Solar Pro 2 up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Llama 3.1 Nemotron 70B Instruct accepts text; Solar Pro 2 accepts text. They handle the same number of input types.
Are any of these open source?
Llama 3.1 Nemotron 70B Instruct publishes its weights and can be self-hosted; Solar Pro 2 is proprietary.
Which is newer?
Solar Pro 2 is the newest, released May 20, 2025. Llama 3.1 Nemotron 70B Instruct came out Apr 15, 2025. Knowledge cutoff: Solar Pro 2 Mar 2025.
How do you decide the winner?
Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Oct 4, 2026.
Related comparisons
- Add Qwen3-VL 30B-A3BThree-way comparison
- Llama 3.1 Nemotron 70B Instruct vs Qwen3-VL 30B-A3BAlibaba (Qwen)
- Llama 3.1 Nemotron 70B Instruct vs GLM-4.5-AirZ.ai (Zhipu)
- Llama 3.1 Nemotron 70B Instruct vs Seed 1.6 VisionByteDance Seed
- Llama 3.1 Nemotron 70B Instruct vs Gemma-SEA-LION-v4-27B-ITAI Singapore
- Solar Pro 2 vs Qwen-MT TurboAlibaba (Qwen)
- Solar Pro 2 vs Voxtral Small 24B 2507Mistral AI
