Solar Pro 2 vs Llama 3.3 Nemotron Super 49B v1.5
Too close to call on our weighted score (Solar Pro 2 51, Llama 3.3 Nemotron Super 49B v1.5 48). The right pick depends on what you value most.
UpstageSolar Pro 2
51/100- ECI—
- Price$0.25 / $0.25
- Context66K
NVIDIALlama 3.3 Nemotron Super 49B v1.5
48/100- ECI—
- Price$0.40 / $0.40
- Context131K
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Make it a three-way comparison.
Too close to call
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Llama 3.3 Nemotron Super 49B v1.5 48/100), so choose by what matters most for your work: Solar Pro 2 on price and Llama 3.3 Nemotron Super 49B v1.5 for long inputs. 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 3.3 Nemotron Super 49B v1.5 $0.40 per 1M tokens (3:1 blend)
- Longest contextLlama 3.3 Nemotron Super 49B v1.5Llama 3.3 Nemotron Super 49B v1.5 131,072 · Solar Pro 2 65,536 tokens
- Widest inputsSame inputsSolar Pro 2: Text · Llama 3.3 Nemotron Super 49B v1.5: Text
- Self-hostingLlama 3.3 Nemotron Super 49B v1.5Publishes downloadable weights
| Measure | Weight | Solar Pro 2 | Llama 3.3 Nemotron Super 49B v1.5 |
|---|---|---|---|
| Price | 50% | 75 | 66 |
| Inputs & features | 30% | 35 | 35 |
| Context window | 20% | 12 | 25 |
| Overall | 100% | 51/100 | 48/100 |
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 | Solar Pro 2Upstage | Llama 3.3 Nemotron Super 49B v1.5NVIDIA |
|---|---|---|
| Capability | ||
| Capabilities Index (ECI) | — | — |
| ECI rank | — | — |
| Price per million tokens | ||
| Input | $0.25 (best) | $0.40 |
| Output | $0.25 (best) | $0.40 |
| Cached input | — | — |
| Blended (3:1) | $0.25 (best) | $0.40 |
| Long-context rate | Same rate | Same rate |
| Price source | Official Upstage API | Median of 1 providers |
| Limits | ||
| Context window | 65,536 tokens | 131,072 tokens (best) |
| Max output | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | ||
| Text | Yes | Yes |
| Images | No | No |
| PDFs | No | No |
| Audio | No | No |
| Video | No | No |
| Reasoning | Yesminimal · high | Yes |
| Tool calling | Yes | Yes |
| Structured output | No | No |
| Availability | ||
| Weights | Proprietary | Open |
| API model ID | solar-pro2 | — |
| API providers | 2 (best) | 1 |
| Released | May 20, 2025 | Jul 25, 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.
- Solar Pro 2$3.00
- Llama 3.3 Nemotron Super 49B v1.5$4.80
Which should you choose?
Which is better: Solar Pro 2 or Llama 3.3 Nemotron Super 49B v1.5?
It is close. Our weighted score puts them within 2 points (Solar Pro 2 51/100, Llama 3.3 Nemotron Super 49B v1.5 48/100), so choose by what matters most for your work: Solar Pro 2 on price and Llama 3.3 Nemotron Super 49B v1.5 for long inputs. 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, Solar Pro 2 or Llama 3.3 Nemotron Super 49B v1.5?
Solar Pro 2 is cheaper at $0.25 input / $0.25 output per million tokens (official Upstage API price). Llama 3.3 Nemotron Super 49B v1.5 costs $0.40 input / $0.40 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.25 per million tokens for Solar Pro 2 versus $0.40 for Llama 3.3 Nemotron Super 49B v1.5 (1.6× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers both models yet. Solar Pro 2 has not been scored yet and Llama 3.3 Nemotron Super 49B v1.5 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Solar Pro 2 and Llama 3.3 Nemotron Super 49B v1.5 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 3.3 Nemotron Super 49B v1.5 has the largest context window at 131,072 tokens, against 65,536 for Solar Pro 2. Maximum output per response: Solar Pro 2 up to 8,192, Llama 3.3 Nemotron Super 49B v1.5 up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Solar Pro 2 accepts text; Llama 3.3 Nemotron Super 49B v1.5 accepts text. They handle the same number of input types.
Are any of these open source?
Llama 3.3 Nemotron Super 49B v1.5 publishes its weights and can be self-hosted; Solar Pro 2 is proprietary.
Which is newer?
Llama 3.3 Nemotron Super 49B v1.5 is the newest, released Jul 25, 2025. Solar Pro 2 came out May 20, 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 Nov 2, 2026.
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