Qwen3.8 Flash vs Nemotron 3.5 Super 120B A12B vs Nemotron 3.5 Super VL 120B A12B
Qwen3.8 Flash comes out ahead, 74 to 71 and 59 on our weighted score, and it is the cheaper option too.
- Our pick
Alibaba (Qwen)
Qwen3.8 Flash
74/100- ECI—
- Price$0.15 / $0.47
- Context1M
NVIDIA
Nemotron 3.5 Super 120B A12B
59/100- ECI—
- Price$0.20 / $0.50
- Context1.05M
NVIDIA
Nemotron 3.5 Super VL 120B A12B
71/100- ECI—
- Price$0.15 / $0.50
- Context1.05M
Qwen3.8 Flash is our pick
Qwen3.8 Flash is the better all-round choice, scoring 74/100 against Nemotron 3.5 Super VL 120B A12B (71) and Nemotron 3.5 Super 120B A12B (59). 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 priceQwen3.8 FlashQwen3.8 Flash $0.23 · Nemotron 3.5 Super VL 120B A12B $0.237 · Nemotron 3.5 Super 120B A12B $0.275 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super 120B A12B and Nemotron 3.5 Super VL 120B A12BNemotron 3.5 Super 120B A12B 1,048,576 · Nemotron 3.5 Super VL 120B A12B 1,048,576 · Qwen3.8 Flash 1,000,000 tokens
- Widest inputsQwen3.8 Flash and Nemotron 3.5 Super VL 120B A12BQwen3.8 Flash: Text, Images, Video · Nemotron 3.5 Super 120B A12B: Text · Nemotron 3.5 Super VL 120B A12B: Text, Images, Video
- Self-hostingNemotron 3.5 Super 120B A12B and Nemotron 3.5 Super VL 120B A12BPublishes downloadable weights
| Measure | Weight | Qwen3.8 Flash | Nemotron 3.5 Super 120B A12B | Nemotron 3.5 Super VL 120B A12B |
|---|---|---|---|---|
| Price | 50% | 77 | 73 | 76 |
| Inputs & features | 30% | 80 | 35 | 70 |
| Context window | 20% | 60 | 61 | 61 |
| Overall | 100% | 74/100 | 59/100 | 71/100 |
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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 (best) | $0.20 | $0.15 (best) |
| Output | $0.47 (best) | $0.50 | $0.50 |
| Cached input | $0.016 | — | — |
| Blended (3:1) | $0.23 (best) | $0.275 | $0.237 |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official Alibaba API | Median of 1 providers | Median of 11 providers |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,048,576 tokens (best) |
| Max output | 131,072 tokens (best) | 131,072 tokens (best) | 8,192 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | Yes |
| PDFs | No | No | No |
| Audio | No | No | No |
| Video | Yes | No | Yes |
| Reasoning | Yeslow · medium · xhigh | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Open |
| API model ID | qwen3.8-flash | — | nvidia/nemotron-3.5-super-vl-120b-a12b |
| API providers | 28 (best) | 1 | 13 |
| Released | Aug 26, 2026 | Oct 15, 2026 | Oct 15, 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$2.44
Nemotron 3.5 Super 120B A12B$3.00
Nemotron 3.5 Super VL 120B A12B$2.50
Which should you choose?
Which is better: Qwen3.8 Flash, Nemotron 3.5 Super 120B A12B or Nemotron 3.5 Super VL 120B A12B?
Qwen3.8 Flash is the better all-round choice, scoring 74/100 against Nemotron 3.5 Super VL 120B A12B (71) and Nemotron 3.5 Super 120B A12B (59). 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, Qwen3.8 Flash, Nemotron 3.5 Super 120B A12B or Nemotron 3.5 Super VL 120B A12B?
Qwen3.8 Flash is cheaper at $0.15 input / $0.47 output per million tokens (official Alibaba API price). Nemotron 3.5 Super VL 120B A12B costs $0.15 input / $0.50 output per million tokens (median across 11 API providers; free on Nvidia); Nemotron 3.5 Super 120B A12B costs $0.20 input / $0.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.23 per million tokens for Qwen3.8 Flash versus $0.237 for Nemotron 3.5 Super VL 120B A12B (1× as much) and $0.275 for Nemotron 3.5 Super 120B A12B (1.2× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Qwen3.8 Flash has not been scored yet, Nemotron 3.5 Super 120B A12B has not been scored yet and Nemotron 3.5 Super VL 120B A12B has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Qwen3.8 Flash, Nemotron 3.5 Super 120B A12B and Nemotron 3.5 Super VL 120B A12B 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 Super 120B A12B and Nemotron 3.5 Super VL 120B A12B have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen3.8 Flash. Maximum output per response: Qwen3.8 Flash up to 131,072, Nemotron 3.5 Super 120B A12B up to 131,072, Nemotron 3.5 Super VL 120B A12B up to 8,192 tokens.
Which can read images, PDFs, audio or video?
Qwen3.8 Flash accepts text, images and video; Nemotron 3.5 Super 120B A12B accepts text; Nemotron 3.5 Super VL 120B A12B accepts text, images and video. Qwen3.8 Flash handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super 120B A12B and Nemotron 3.5 Super VL 120B A12B publishes its weights and can be self-hosted; Qwen3.8 Flash is proprietary.
Which is newer?
Nemotron 3.5 Super 120B A12B is the newest, released Oct 15, 2026. Nemotron 3.5 Super VL 120B A12B came out Oct 15, 2026; Qwen3.8 Flash came out Aug 26, 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 Nov 2, 2026.