MiniMax-M3.1-Flash vs Nemotron 3.5 Super VL 120B A12B vs Qwen3.8 Omni Flash
Qwen3.8 Omni Flash comes out ahead, 77 to 71 and 70 on our weighted score, and it is the cheaper option too.
MiniMaxMiniMax-M3.1-Flash
70/100- ECI—
- Price$0.15 / $0.60
- Context1M
NVIDIANemotron 3.5 Super VL 120B A12B
71/100- ECI—
- Price$0.15 / $0.50
- Context1.05M
- Our pick
Alibaba (Qwen)Qwen3.8 Omni Flash
77/100- ECI—
- Price$0.15 / $0.47
- Context1M
Qwen3.8 Omni Flash is our pick
Qwen3.8 Omni Flash is the better all-round choice, scoring 77/100 against Nemotron 3.5 Super VL 120B A12B (71) and MiniMax-M3.1-Flash (70). 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 Omni FlashQwen3.8 Omni Flash $0.23 · Nemotron 3.5 Super VL 120B A12B $0.237 · MiniMax-M3.1-Flash $0.263 per 1M tokens (3:1 blend)
- Longest contextNemotron 3.5 Super VL 120B A12BNemotron 3.5 Super VL 120B A12B 1,048,576 · MiniMax-M3.1-Flash 1,000,000 · Qwen3.8 Omni Flash 1,000,000 tokens
- Widest inputsQwen3.8 Omni FlashMiniMax-M3.1-Flash: Text, Images, Video · Nemotron 3.5 Super VL 120B A12B: Text, Images, Video · Qwen3.8 Omni Flash: Text, Images, Audio, Video
- Self-hostingNemotron 3.5 Super VL 120B A12BPublishes downloadable weights
| Measure | Weight | MiniMax-M3.1-Flash | Nemotron 3.5 Super VL 120B A12B | Qwen3.8 Omni Flash |
|---|---|---|---|---|
| Price | 50% | 74 | 76 | 77 |
| Inputs & features | 30% | 70 | 70 | 90 |
| Context window | 20% | 60 | 61 | 60 |
| Overall | 100% | 70/100 | 71/100 | 77/100 |
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 | MiniMax-M3.1-FlashMiniMax | Nemotron 3.5 Super VL 120B A12BNVIDIA | Qwen3.8 Omni FlashAlibaba (Qwen) |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $0.15 | $0.15 | $0.15 |
| Output | $0.60 | $0.50 | $0.47 (best) |
| Cached input | $0.015 (best) | — | $0.016 |
| Blended (3:1) | $0.263 | $0.237 | $0.23 (best) |
| Long-context rate | Same rate | Same rate | Same rate |
| Price source | Official MiniMax (minimax.io) API | Median of 11 providers | Official Alibaba API |
| Limits | |||
| Context window | 1,000,000 tokens | 1,048,576 tokens (best) | 1,000,000 tokens |
| Max output | 512,000 tokens (best) | 8,192 tokens | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | Yes | Yes |
| PDFs | No | No | No |
| Audio | No | No | Yes |
| Video | Yes | Yes | Yes |
| Reasoning | Yeslow · medium · high · xhigh · max | Yes | Yeslow · medium · xhigh |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | Yes |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | MiniMax-M3.1-Flash | nvidia/nemotron-3.5-super-vl-120b-a12b | qwen3.8-omni-flash |
| API providers | 25 (best) | 13 | 13 |
| Released | Oct 19, 2026 | Oct 15, 2026 | Sep 17, 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.
- MiniMax-M3.1-Flash$2.70
- Nemotron 3.5 Super VL 120B A12B$2.50
- Qwen3.8 Omni Flash$2.44
Which should you choose?
Which is better: MiniMax-M3.1-Flash, Nemotron 3.5 Super VL 120B A12B or Qwen3.8 Omni Flash?
Qwen3.8 Omni Flash is the better all-round choice, scoring 77/100 against Nemotron 3.5 Super VL 120B A12B (71) and MiniMax-M3.1-Flash (70). 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, MiniMax-M3.1-Flash, Nemotron 3.5 Super VL 120B A12B or Qwen3.8 Omni Flash?
Qwen3.8 Omni 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); MiniMax-M3.1-Flash costs $0.15 input / $0.60 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.23 per million tokens for Qwen3.8 Omni Flash versus $0.237 for Nemotron 3.5 Super VL 120B A12B (1× as much) and $0.263 for MiniMax-M3.1-Flash (1.1× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. MiniMax-M3.1-Flash has not been scored yet, Nemotron 3.5 Super VL 120B A12B has not been scored yet and Qwen3.8 Omni Flash has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for MiniMax-M3.1-Flash, Nemotron 3.5 Super VL 120B A12B and Qwen3.8 Omni Flash 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 VL 120B A12B has the largest context window at 1,048,576 tokens, against 1,000,000 for MiniMax-M3.1-Flash and 1,000,000 for Qwen3.8 Omni Flash. Maximum output per response: MiniMax-M3.1-Flash up to 512,000, Nemotron 3.5 Super VL 120B A12B up to 8,192, Qwen3.8 Omni Flash up to 131,072 tokens.
Which can read images, PDFs, audio or video?
MiniMax-M3.1-Flash accepts text, images and video; Nemotron 3.5 Super VL 120B A12B accepts text, images and video; Qwen3.8 Omni Flash accepts text, images, audio and video. Qwen3.8 Omni Flash handles the widest range of inputs.
Are any of these open source?
Nemotron 3.5 Super VL 120B A12B publishes its weights and can be self-hosted; MiniMax-M3.1-Flash and Qwen3.8 Omni Flash is proprietary.
Which is newer?
MiniMax-M3.1-Flash is the newest, released Oct 19, 2026. Nemotron 3.5 Super VL 120B A12B came out Oct 15, 2026; Qwen3.8 Omni Flash came out Sep 17, 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.
