Grok Build 0.1 vs Nemotron 3 Super 120B A12B vs MiMo-V2-Pro
Too close to call on our weighted score (Nemotron 3 Super 120B A12B 54, Grok Build 0.1 53, MiMo-V2-Pro 42). The right pick depends on what you value most.
xAIGrok Build 0.1
53/100- ECI—
- Price$1.00 / $2.00
- Context256K
NVIDIANemotron 3 Super 120B A12B
54/100- ECI—
- Price$0.15 / $0.65
- Context262K
XiaomiMiMo-V2-Pro
42/100- ECI—
- Price$1.00 / $3.00
- Context1.05M
Too close to call
It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Grok Build 0.1 53/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B on price and MiMo-V2-Pro for long inputs. 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 Super 120B A12BNemotron 3 Super 120B A12B $0.275 · Grok Build 0.1 $1.25 · MiMo-V2-Pro $1.50 per 1M tokens (3:1 blend)
- Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Nemotron 3 Super 120B A12B 262,144 · Grok Build 0.1 256,000 tokens
- Widest inputsGrok Build 0.1Grok Build 0.1: Text, Images, PDFs · Nemotron 3 Super 120B A12B: Text · MiMo-V2-Pro: Text
- Self-hostingNemotron 3 Super 120B A12BPublishes downloadable weights
| Measure | Weight | Grok Build 0.1 | Nemotron 3 Super 120B A12B | MiMo-V2-Pro |
|---|---|---|---|---|
| Price | 50% | 43 | 73 | 40 |
| Inputs & features | 30% | 80 | 35 | 35 |
| Context window | 20% | 36 | 37 | 61 |
| Overall | 100% | 53/100 | 54/100 | 42/100 |
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 | Grok Build 0.1xAI | Nemotron 3 Super 120B A12BNVIDIA | MiMo-V2-ProXiaomi |
|---|---|---|---|
| Capability | |||
| Capabilities Index (ECI) | — | — | — |
| ECI rank | — | — | — |
| Price per million tokens | |||
| Input | $1.00 | $0.15 (best) | $1.00 |
| Output | $2.00 | $0.65 (best) | $3.00 |
| Cached input | $0.20 | — | — |
| Blended (3:1) | $1.25 | $0.275 (best) | $1.50 |
| Long-context rate | Over 200K: $2.00 / $4.00 | Same rate | Same rate |
| Price source | Official xAI API | Median of 16 providers | Median of 1 providers |
| Limits | |||
| Context window | 256,000 tokens | 262,144 tokens | 1,048,576 tokens (best) |
| Max output | 256,000 tokens | 262,144 tokens (best) | 131,072 tokens |
| Inputs and features | |||
| Text | Yes | Yes | Yes |
| Images | Yes | No | No |
| PDFs | Yes | No | No |
| Audio | No | No | No |
| Video | No | No | No |
| Reasoning | Yes | Yes | Yes |
| Tool calling | Yes | Yes | Yes |
| Structured output | Yes | No | No |
| Availability | |||
| Weights | Proprietary | Open | Proprietary |
| API model ID | grok-build-0.1 | — | — |
| API providers | 20 (best) | 18 | 2 |
| Released | Apr 16, 2026 | Mar 11, 2026 | Mar 18, 2026 |
| Knowledge cutoff | — | Jun 2025 | Dec 2024 |
What would a month cost?
Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.
- Grok Build 0.1$14.00
- Nemotron 3 Super 120B A12B$2.80
- MiMo-V2-Pro$16.00
Which should you choose?
Which is better: Grok Build 0.1, Nemotron 3 Super 120B A12B or MiMo-V2-Pro?
It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Grok Build 0.1 53/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Nemotron 3 Super 120B A12B on price and MiMo-V2-Pro for long inputs. 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, Grok Build 0.1, Nemotron 3 Super 120B A12B or MiMo-V2-Pro?
Nemotron 3 Super 120B A12B is cheaper at $0.15 input / $0.65 output per million tokens (median across 16 API providers). Grok Build 0.1 costs $1.00 input / $2.00 output per million tokens (official xAI API price); MiMo-V2-Pro costs $1.00 input / $3.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.275 per million tokens for Nemotron 3 Super 120B A12B versus $1.25 for Grok Build 0.1 (4.5× as much) and $1.50 for MiMo-V2-Pro (5.5× as much).
Which scores higher on benchmarks?
There is no independent benchmark that covers all three models yet. Grok Build 0.1 has not been scored yet, Nemotron 3 Super 120B A12B has not been scored yet and MiMo-V2-Pro has not been scored yet.
Which is better for coding?
There are no published SWE-bench Verified results for Grok Build 0.1, Nemotron 3 Super 120B A12B and MiMo-V2-Pro 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?
MiMo-V2-Pro has the largest context window at 1,048,576 tokens, against 262,144 for Nemotron 3 Super 120B A12B and 256,000 for Grok Build 0.1. Maximum output per response: Grok Build 0.1 up to 256,000, Nemotron 3 Super 120B A12B up to 262,144, MiMo-V2-Pro up to 131,072 tokens.
Which can read images, PDFs, audio or video?
Grok Build 0.1 accepts text, images and PDFs; Nemotron 3 Super 120B A12B accepts text; MiMo-V2-Pro accepts text. Grok Build 0.1 handles the widest range of inputs.
Are any of these open source?
Nemotron 3 Super 120B A12B publishes its weights and can be self-hosted; Grok Build 0.1 and MiMo-V2-Pro is proprietary.
Which is newer?
Grok Build 0.1 is the newest, released Apr 16, 2026. MiMo-V2-Pro came out Mar 18, 2026; Nemotron 3 Super 120B A12B came out Mar 11, 2026. Knowledge cutoff: Nemotron 3 Super 120B A12B Jun 2025, MiMo-V2-Pro Dec 2024.
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.
