Qwen3.8 Flash Next vs Nemotron 3.5 Lightning 30B A3B vs MiniCPM5-2B
Too close to call on our weighted score (Nemotron 3.5 Lightning 30B A3B 71, Qwen3.8 Flash Next 70, MiniCPM5-2B 53). The right pick depends on what you value most.
Alibaba (Qwen)Qwen3.8 Flash Next
70/100- ECI—
- Price$0.20 / $0.50
- Context262K
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
Too close to call
It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Lightning 30B A3B 71/100, Qwen3.8 Flash Next 70/100, MiniCPM5-2B 53/100), so choose by what matters most for your work: Nemotron 3.5 Lightning 30B A3B on price. 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 priceNemotron 3.5 Lightning 30B A3BNemotron 3.5 Lightning 30B A3B $0.087 · Qwen3.8 Flash Next $0.275 · MiniCPM5-2B $0.279 per 1M tokens (3:1 blend)
- Longest contextQwen3.8 Flash Next and Nemotron 3.5 Lightning 30B A3BQwen3.8 Flash Next 262,144 · Nemotron 3.5 Lightning 30B A3B 262,144 · MiniCPM5-2B 131,072 tokens
- Widest inputsQwen3.8 Flash NextQwen3.8 Flash Next: Text, Images, Video · Nemotron 3.5 Lightning 30B A3B: Text · MiniCPM5-2B: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Qwen3.8 Flash Next | Nemotron 3.5 Lightning 30B A3B | MiniCPM5-2B |
|---|---|---|---|---|
| Price | 50% | 76 | 100 | 76 |
| Inputs & features | 30% | 80 | 45 | 35 |
| Context window | 20% | 37 | 37 | 24 |
| Overall | 100% | 70/100 | 71/100 | 53/100 |
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 | Qwen3.8 Flash NextAlibaba (Qwen) | Nemotron 3.5 Lightning 30B A3BNVIDIA | MiniCPM5-2BOpenBMB |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.20 | $0.05 (best) | $0.124 |
| Output | $0.50 | $0.20 (best) | $0.743 |
| Cached input | — | — | — |
| Blended (3:1) | $0.275 | $0.087 (best) | $0.279 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Median of 5 providers | Median of 9 providers | Median of 1 providers |
| Limits | |||
| Context window | 262,144 tokens (best) | 262,144 tokens (best) | 131,072 tokens |
| Max output | 131,072 tokens | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | Yes | No |
| Availability | |||
| Weights | Openqwen-community-1.0 | Open | Openapache-2.0 |
| API model ID | — | nvidia/nemotron-3.5-lightning-30b-a3b | — |
| API providers | 5 | 12 (best) | 1 |
| Released | Aug 27, 2026 | Aug 11, 2026 | Sep 6, 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.
- Qwen3.8 Flash Next$3.00
- Nemotron 3.5 Lightning 30B A3B$0.90
- MiniCPM5-2B$2.73
Which should you choose?
Which is better: Qwen3.8 Flash Next, Nemotron 3.5 Lightning 30B A3B or MiniCPM5-2B?
It is close. Our weighted score puts them within 1 points (Nemotron 3.5 Lightning 30B A3B 71/100, Qwen3.8 Flash Next 70/100, MiniCPM5-2B 53/100), so choose by what matters most for your work: Nemotron 3.5 Lightning 30B A3B on price. 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, Qwen3.8 Flash Next, Nemotron 3.5 Lightning 30B A3B or MiniCPM5-2B?
Nemotron 3.5 Lightning 30B A3B is cheaper at $0.05 input / $0.20 output per million tokens (median across 9 API providers; free on Nvidia). Qwen3.8 Flash Next costs $0.20 input / $0.50 output per million tokens (median across 5 API providers); 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 $0.087 per million tokens for Nemotron 3.5 Lightning 30B A3B versus $0.275 for Qwen3.8 Flash Next (3.1× as much) and $0.279 for MiniCPM5-2B (3.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 Flash Next has not been scored yet, Nemotron 3.5 Lightning 30B A3B has not been scored yet and MiniCPM5-2B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Flash Next, Nemotron 3.5 Lightning 30B A3B and MiniCPM5-2B 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?
Qwen3.8 Flash Next and Nemotron 3.5 Lightning 30B A3B have the largest context windows (262,144 and 262,144 tokens), against 131,072 for MiniCPM5-2B. Maximum output per response: Qwen3.8 Flash Next up to 131,072, Nemotron 3.5 Lightning 30B A3B up to 262,144, MiniCPM5-2B up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Flash Next accepts text, images and video; Nemotron 3.5 Lightning 30B A3B accepts text; MiniCPM5-2B accepts text. Qwen3.8 Flash Next handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights (qwen-community-1.0 and apache-2.0), so you can self-host them.
Which is newer?
MiniCPM5-2B is the newest, released Sep 6, 2026. Qwen3.8 Flash Next came out Aug 27, 2026; Nemotron 3.5 Lightning 30B A3B came out Aug 11, 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.
