Nemotron 3.5 Lightning 30B A3B vs Solar Pro 4 vs Laguna XS 2.1
Nemotron 3.5 Lightning 30B A3B comes out ahead, 71 to 68 and 55 on our weighted score, though Laguna XS 2.1 is 14% cheaper per token.
- Our pick
NVIDIANemotron 3.5 Lightning 30B A3B
71/100- ECI—
- Price$0.05 / $0.20
- Context262K
Upstage
Solar Pro 4
55/100- ECI—
- Price$0.30 / $1.20
- Context524K
PoolsideLaguna XS 2.1
68/100- ECI—
- Price$0.06 / $0.12
- Context262K
Nemotron 3.5 Lightning 30B A3B is our pick
Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Laguna XS 2.1 (68) and Solar Pro 4 (55). Solar Pro 4 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 priceLaguna XS 2.1Laguna XS 2.1 $0.075 · Nemotron 3.5 Lightning 30B A3B $0.087 · Solar Pro 4 $0.525 per 1M tokens (3:1 blend)
- Longest contextSolar Pro 4Solar Pro 4 524,288 · Nemotron 3.5 Lightning 30B A3B 262,144 · Laguna XS 2.1 262,144 tokens
- Widest inputsSame inputsNemotron 3.5 Lightning 30B A3B: Text · Solar Pro 4: Text · Laguna XS 2.1: Text
- Self-hostingNemotron 3.5 Lightning 30B A3B and Laguna XS 2.1Publishes downloadable weights
| Measure | Weight | Nemotron 3.5 Lightning 30B A3B | Solar Pro 4 | Laguna XS 2.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 63 | 100 |
| Inputs & features | 30% | 45 | 45 | 35 |
| Context window | 20% | 37 | 49 | 37 |
| Overall | 100% | 71/100 | 55/100 | 68/100 |
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 | Nemotron 3.5 Lightning 30B A3BNVIDIA | Solar Pro 4Upstage | Laguna XS 2.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.05 (best) | $0.30 | $0.06 |
| Output | $0.20 | $1.20 | $0.12 (best) |
| Cached input | — | $0.06 | — |
| Blended (3:1) | $0.087 | $0.525 | $0.075 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 9 providers | Official Upstage API | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens | 524,288 tokens (best) | 262,144 tokens |
| Max output | 262,144 tokens (best) | 131,072 tokens | 32,768 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yesminimal · low · medium · high · xhigh · max | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | nvidia/nemotron-3.5-lightning-30b-a3b | solar-pro4 | poolside/laguna-xs-2.1 |
| API providers | 12 (best) | 3 | 4 |
| Released | Aug 11, 2026 | Aug 6, 2026 | Jul 2, 2026 |
| Knowledge cutoff | — | Feb 2026 | — |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Nemotron 3.5 Lightning 30B A3B$0.90
- Solar Pro 4$5.40
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: Nemotron 3.5 Lightning 30B A3B, Solar Pro 4 or Laguna XS 2.1?
Nemotron 3.5 Lightning 30B A3B is the better all-round choice, scoring 71/100 against Laguna XS 2.1 (68) and Solar Pro 4 (55). Solar Pro 4 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, Nemotron 3.5 Lightning 30B A3B, Solar Pro 4 or Laguna XS 2.1?
Laguna XS 2.1 is cheaper at $0.06 input / $0.12 output per million tokens (median across 1 API provider; free on Poolside). Nemotron 3.5 Lightning 30B A3B costs $0.05 input / $0.20 output per million tokens (median across 9 API providers; free on Nvidia); Solar Pro 4 costs $0.30 input / $1.20 output per million tokens (official Upstage API price). At a typical mix of three input tokens to one output token, that is $0.075 per million tokens for Laguna XS 2.1 versus $0.087 for Nemotron 3.5 Lightning 30B A3B (1.2× as much) and $0.525 for Solar Pro 4 (7× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron 3.5 Lightning 30B A3B has not been scored yet, Solar Pro 4 has not been scored yet and Laguna XS 2.1 has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron 3.5 Lightning 30B A3B, Solar Pro 4 and Laguna XS 2.1 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.
Which has the bigger context window?
Solar Pro 4 has the largest context window at 524,288 tokens, against 262,144 for Nemotron 3.5 Lightning 30B A3B and 262,144 for Laguna XS 2.1. Maximum output per response: Nemotron 3.5 Lightning 30B A3B up to 262,144, Solar Pro 4 up to 131,072, Laguna XS 2.1 up to 32,768 tokens.
Which can read images, PDFs, audio or video?
Nemotron 3.5 Lightning 30B A3B accepts text; Solar Pro 4 accepts text; Laguna XS 2.1 accepts text. They handle the same number of input types.
Are any of these open source?
Nemotron 3.5 Lightning 30B A3B and Laguna XS 2.1 publishes its weights and can be self-hosted; Solar Pro 4 is proprietary.
Which is newer?
Nemotron 3.5 Lightning 30B A3B is the newest, released Aug 11, 2026. Solar Pro 4 came out Aug 6, 2026; Laguna XS 2.1 came out Jul 2, 2026. Knowledge cutoff: Solar Pro 4 Feb 2026.
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.
