Nemotron Cascade 2 30B A3B vs Nemotron VoiceChat vs MiniMax-M2.7-highspeed
Too close to call on our weighted score (Nemotron Cascade 2 30B A3B 35, MiniMax-M2.7-highspeed 34, Nemotron VoiceChat 31). The right pick depends on what you value most.
NVIDIANemotron Cascade 2 30B A3B
35/100- ECI—
- Price—
- Context256K
- NVIDIA
Nemotron VoiceChat
31/100- ECI—
- PriceFree / Free
- Context128K
MiniMaxMiniMax-M2.7-highspeed
34/100- ECI—
- Price$0.60 / $2.40
- Context205K
Too close to call
It is close. Our weighted score puts them within 2 points (Nemotron Cascade 2 30B A3B 35/100, MiniMax-M2.7-highspeed 34/100, Nemotron VoiceChat 31/100), so choose by what matters most for your work: Nemotron VoiceChat on price and Nemotron Cascade 2 30B A3B for long inputs. The score weighs inputs & features 60%, context window 40%. 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 VoiceChatNemotron VoiceChat Free · MiniMax-M2.7-highspeed $1.05 per 1M tokens (3:1 blend) · Nemotron Cascade 2 30B A3B unpriced
- Longest contextNemotron Cascade 2 30B A3BNemotron Cascade 2 30B A3B 256,000 · MiniMax-M2.7-highspeed 204,800 · Nemotron VoiceChat 128,000 tokens
- Widest inputsNemotron VoiceChatNemotron Cascade 2 30B A3B: Text · Nemotron VoiceChat: Text, Audio · MiniMax-M2.7-highspeed: Text
- Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
| Measure | Weight | Nemotron Cascade 2 30B A3B | Nemotron VoiceChat | MiniMax-M2.7-highspeed |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 35 | 35 |
| Context window | 40% | 36 | 24 | 32 |
| Overall | 100% | 35/100 | 31/100 | 34/100 |
Left out because at least one model lacks the data: capability and price. The remaining weights were rescaled.
Every spec in one table
Highlighted cells lead their row. Dashes mean the data is not published.
| Specification | Nemotron Cascade 2 30B A3BNVIDIA | Nemotron VoiceChatNVIDIA | MiniMax-M2.7-highspeedMiniMax |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | Free (best) | $0.60 |
| Output | — | Free (best) | $2.40 |
| Cached input | — | — | $0.06 |
| Blended (3:1) | — | Free (best) | $1.05 |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Official Nvidia API | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 256,000 tokens (best) | 128,000 tokens | 204,800 tokens |
| Max output | 32,768 tokens | 8,192 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | No | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | No | No |
| Reasoning | Yes | No | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | No | No |
| Availability | |||
| Weights | Open | Open | Open |
| API model ID | — | nvidia/nemotron-voicechat | MiniMax-M2.7-highspeed |
| API providers | — | 1 | 14 (best) |
| Released | Mar 24, 2026 | Mar 16, 2026 | Mar 18, 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 Cascade 2 30B A3B—
- Nemotron VoiceChatFree
- MiniMax-M2.7-highspeed$10.80
Which should you choose?
Which is better: Nemotron Cascade 2 30B A3B, Nemotron VoiceChat or MiniMax-M2.7-highspeed?
It is close. Our weighted score puts them within 2 points (Nemotron Cascade 2 30B A3B 35/100, MiniMax-M2.7-highspeed 34/100, Nemotron VoiceChat 31/100), so choose by what matters most for your work: Nemotron VoiceChat on price and Nemotron Cascade 2 30B A3B for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.
Which is cheaper, Nemotron Cascade 2 30B A3B, Nemotron VoiceChat or MiniMax-M2.7-highspeed?
Nemotron VoiceChat is cheaper at Free input / Free output per million tokens (official Nvidia API price). MiniMax-M2.7-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). Nemotron VoiceChat is listed as free. Nemotron Cascade 2 30B A3B has no published per-token price.
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Nemotron Cascade 2 30B A3B has not been scored yet, Nemotron VoiceChat has not been scored yet and MiniMax-M2.7-highspeed has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Nemotron Cascade 2 30B A3B, Nemotron VoiceChat and MiniMax-M2.7-highspeed 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 Cascade 2 30B A3B has the largest context window at 256,000 tokens, against 204,800 for MiniMax-M2.7-highspeed and 128,000 for Nemotron VoiceChat. Maximum output per response: Nemotron Cascade 2 30B A3B up to 32,768, Nemotron VoiceChat up to 8,192, MiniMax-M2.7-highspeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron Cascade 2 30B A3B accepts text; Nemotron VoiceChat accepts text and audio; MiniMax-M2.7-highspeed accepts text. Nemotron VoiceChat handles the widest range of inputs.
Are any of these open source?
Yes, all three publish their weights, so you can self-host them.
Which is newer?
Nemotron Cascade 2 30B A3B is the newest, released Mar 24, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026; Nemotron VoiceChat came out Mar 16, 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.
