Nemotron Cascade 2 30B A3B vs Gemini Robotics-ER 1.6 Preview vs MiniMax-M2.7-highspeed
Gemini Robotics-ER 1.6 Preview comes out ahead, 64 to 35 and 34 on our weighted score, though MiniMax-M2.7-highspeed is 48% cheaper per token.
NVIDIA
Nemotron Cascade 2 30B A3B
35/100- ECI—
- Price—
- Context256K
- Our pick
Google
Gemini Robotics-ER 1.6 Preview
64/100- ECI—
- Price$1.00 / $5.00
- Context131K
MiniMax
MiniMax-M2.7-highspeed
34/100- ECI—
- Price$0.60 / $2.40
- Context205K
Gemini Robotics-ER 1.6 Preview is our pick
Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 64/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. Nemotron Cascade 2 30B A3B wins on context window. 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 priceMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · Gemini Robotics-ER 1.6 Preview $2.00 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 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
- Widest inputsGemini Robotics-ER 1.6 PreviewNemotron Cascade 2 30B A3B: Text · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · MiniMax-M2.7-highspeed: Text
- Self-hostingNemotron Cascade 2 30B A3B and MiniMax-M2.7-highspeedPublishes downloadable weights
| Measure | Weight | Nemotron Cascade 2 30B A3B | Gemini Robotics-ER 1.6 Preview | MiniMax-M2.7-highspeed |
|---|---|---|---|---|
| Inputs & features | 60% | 35 | 90 | 35 |
| Context window | 40% | 36 | 24 | 32 |
| Overall | 100% | 35/100 | 64/100 | 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 | |||
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | — | $1.00 | $0.60 (best) |
| Output | — | $5.00 | $2.40 (best) |
| Cached input | — | — | $0.06 |
| Blended (3:1) | — | $2.00 | $1.05 (best) |
| Long-context rate | — | Same rate | Same rate |
| Price source | — | Median of 1 providers | Official MiniMax (minimax.io) API |
| Limits | |||
| Context window | 256,000 tokens (best) | 131,072 tokens | 204,800 tokens |
| Max output | 32,768 tokens | 65,536 tokens | 131,072 tokens (best) |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | No | Yes | No |
| PDFs | No | No | No |
| Audio | No | Yes | No |
| Video | No | Yes | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | No | Yes | No |
| Availability | |||
| Weights | Open | Proprietary | Open |
| API model ID | — | — | MiniMax-M2.7-highspeed |
| API providers | — | 1 | 14 (best) |
| Released | Mar 24, 2026 | Apr 14, 2026 | Mar 18, 2026 |
| Knowledge cutoff | — | Jan 2025 | — |
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—
Gemini Robotics-ER 1.6 Preview$20.00
MiniMax-M2.7-highspeed$10.80
Which should you choose?
Which is better: Nemotron Cascade 2 30B A3B, Gemini Robotics-ER 1.6 Preview or MiniMax-M2.7-highspeed?
Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 64/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. Nemotron Cascade 2 30B A3B wins on context window. 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, Gemini Robotics-ER 1.6 Preview or MiniMax-M2.7-highspeed?
MiniMax-M2.7-highspeed is cheaper at $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). Gemini Robotics-ER 1.6 Preview costs $1.00 input / $5.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for MiniMax-M2.7-highspeed versus $2.00 for Gemini Robotics-ER 1.6 Preview (1.9× as much). 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, Gemini Robotics-ER 1.6 Preview 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, Gemini Robotics-ER 1.6 Preview 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 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Nemotron Cascade 2 30B A3B up to 32,768, Gemini Robotics-ER 1.6 Preview up to 65,536, MiniMax-M2.7-highspeed up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Nemotron Cascade 2 30B A3B accepts text; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; MiniMax-M2.7-highspeed accepts text. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.
Are any of these open source?
Nemotron Cascade 2 30B A3B and MiniMax-M2.7-highspeed publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview is proprietary.
Which is newer?
Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. Nemotron Cascade 2 30B A3B came out Mar 24, 2026; MiniMax-M2.7-highspeed came out Mar 18, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025.
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.