Nemotron 3.5 Lightning 30B A3B vs MiniCPM5-2B vs Laguna XS 2.1
Nemotron 3.5 Lightning 30B A3B comes out ahead, 71 to 68 and 53 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
OpenBMB
MiniCPM5-2B
53/100- ECI—
- Price$0.124 / $0.743
- Context131K
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 MiniCPM5-2B (53). It leads on inputs & features. 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 · MiniCPM5-2B $0.279 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Lightning 30B A3B and Laguna XS 2.1Nemotron 3.5 Lightning 30B A3B 262,144 · Laguna XS 2.1 262,144 · MiniCPM5-2B 131,072 tokens
- Widest inputsSame inputsNemotron 3.5 Lightning 30B A3B: Text · MiniCPM5-2B: Text · Laguna XS 2.1: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron 3.5 Lightning 30B A3B | MiniCPM5-2B | Laguna XS 2.1 |
|---|---|---|---|---|
| Price | 50% | 100 | 76 | 100 |
| Inputs & features | 30% | 45 | 35 | 35 |
| Context window | 20% | 37 | 24 | 37 |
| Overall | 100% | 71/100 | 53/100 | 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 | MiniCPM5-2BOpenBMB | Laguna XS 2.1Poolside |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.05 (best) | $0.124 | $0.06 |
| Output | $0.20 | $0.743 | $0.12 (best) |
| Cached input | — | — | — |
| Blended (3:1) | $0.087 | $0.279 | $0.075 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 9 providers | Median of 1 providers | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 131,072 tokens | 262,144 tokens (best) |
| 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 | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Open | Openapache-2.0 | Open |
| API model ID | nvidia/nemotron-3.5-lightning-30b-a3b | — | poolside/laguna-xs-2.1 |
| API providers | 12 (best) | 1 | 4 |
| Released | Aug 11, 2026 | Sep 6, 2026 | Jul 2, 2026 |
| Knowledge cutoff | — | — | — |
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
- MiniCPM5-2B$2.73
- Laguna XS 2.1$0.84
Which should you choose?
Which is better: Nemotron 3.5 Lightning 30B A3B, MiniCPM5-2B 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 MiniCPM5-2B (53). It leads on inputs & features. 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, MiniCPM5-2B 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); MiniCPM5-2B costs $0.124 input / $0.743 output per million tokens (median across 1 API provider). 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 $0.279 for MiniCPM5-2B (3.7× 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, MiniCPM5-2B 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, MiniCPM5-2B 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?
Nemotron 3.5 Lightning 30B A3B and Laguna XS 2.1 have the largest context windows (262,144 and 262,144 tokens), against 131,072 for MiniCPM5-2B. Maximum output per response: Nemotron 3.5 Lightning 30B A3B up to 262,144, MiniCPM5-2B 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; MiniCPM5-2B accepts text; Laguna XS 2.1 accepts text. They handle the same number of input types.
Are any of these open source?
Yes, all three publish their weights (apache-2.0), so you can self-host them.
Which is newer?
MiniCPM5-2B is the newest, released Sep 6, 2026. Nemotron 3.5 Lightning 30B A3B came out Aug 11, 2026; Laguna XS 2.1 came out Jul 2, 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.
