ZMIME
Comparison · 3 models · Updated Nov 2, 2026

MiMo-V2-Pro vs Nemotron 3 Super 120B A12B vs Grok 4.20 (Non-Reasoning)

Too close to call on our weighted score (Nemotron 3 Super 120B A12B 54, Grok 4.20 (Non-Reasoning) 52, MiMo-V2-Pro 42). The right pick depends on what you value most.

  1. Xiaomi

    MiMo-V2-Pro

    Released Mar 18, 2026

    42/100
    • ECI—
    • Price$1.00 / $3.00
    • Context1.05M
  2. NVIDIA

    Nemotron 3 Super 120B A12B

    Released Mar 11, 2026

    54/100
    • ECI—
    • Price$0.15 / $0.65
    • Context262K
  3. xAI

    Grok 4.20 (Non-Reasoning)

    Released Mar 9, 2026

    52/100
    • ECI—
    • Price$1.25 / $2.50
    • Context1M
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Grok 4.20 (Non-Reasoning) 52/100, 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 · MiMo-V2-Pro $1.50 · Grok 4.20 (Non-Reasoning) $1.56 per 1M tokens (3:1 blend)
  • Longest contextMiMo-V2-ProMiMo-V2-Pro 1,048,576 · Grok 4.20 (Non-Reasoning) 1,000,000 · Nemotron 3 Super 120B A12B 262,144 tokens
  • Widest inputsGrok 4.20 (Non-Reasoning)MiMo-V2-Pro: Text · Nemotron 3 Super 120B A12B: Text · Grok 4.20 (Non-Reasoning): Text, Images, PDFs
  • Self-hostingNemotron 3 Super 120B A12BPublishes downloadable weights
How the score is built
MeasureWeightMiMo-V2-ProNemotron 3 Super 120B A12BGrok 4.20 (Non-Reasoning)
Price50%407339
Inputs & features30%353570
Context window20%613760
Overall100%42/10054/10052/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

MiMo-V2-Pro vs Nemotron 3 Super 120B A12B vs Grok 4.20 (Non-Reasoning) specifications side by side
SpecificationMiMo-V2-ProXiaomiNemotron 3 Super 120B A12BNVIDIAGrok 4.20 (Non-Reasoning)xAI
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.00$0.15 (best)$1.25
Output$3.00$0.65 (best)$2.50
Cached input——$0.20
Blended (3:1)$1.50$0.275 (best)$1.56
Long-context rateSame rateSame rateOver 200K: $2.50 / $5.00
Price sourceMedian of 1 providersMedian of 16 providersOfficial xAI API
Limits
Context window1,048,576 tokens (best)262,144 tokens1,000,000 tokens
Max output131,072 tokens262,144 tokens (best)30,000 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoYes
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsProprietaryOpenProprietary
API model ID——grok-4.20-0309-non-reasoning
API providers218 (best)13
ReleasedMar 18, 2026Mar 11, 2026Mar 9, 2026
Knowledge cutoffDec 2024Jun 2025—
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • MiMo-V2-Pro$16.00
  • Nemotron 3 Super 120B A12B$2.80
  • Grok 4.20 (Non-Reasoning)$17.50
04 — Questions

Which should you choose?

Which is better: MiMo-V2-Pro, Nemotron 3 Super 120B A12B or Grok 4.20 (Non-Reasoning)?

It is close. Our weighted score puts them within 2 points (Nemotron 3 Super 120B A12B 54/100, Grok 4.20 (Non-Reasoning) 52/100, 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, MiMo-V2-Pro, Nemotron 3 Super 120B A12B or Grok 4.20 (Non-Reasoning)?

Nemotron 3 Super 120B A12B is cheaper at $0.15 input / $0.65 output per million tokens (median across 16 API providers). MiMo-V2-Pro costs $1.00 input / $3.00 output per million tokens (median across 1 API provider); Grok 4.20 (Non-Reasoning) costs $1.25 input / $2.50 output per million tokens (official xAI API price). 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 $1.50 for MiMo-V2-Pro (5.5× as much) and $1.56 for Grok 4.20 (Non-Reasoning) (5.7× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. MiMo-V2-Pro has not been scored yet, Nemotron 3 Super 120B A12B has not been scored yet and Grok 4.20 (Non-Reasoning) has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for MiMo-V2-Pro, Nemotron 3 Super 120B A12B and Grok 4.20 (Non-Reasoning) 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 1,000,000 for Grok 4.20 (Non-Reasoning) and 262,144 for Nemotron 3 Super 120B A12B. Maximum output per response: MiMo-V2-Pro up to 131,072, Nemotron 3 Super 120B A12B up to 262,144, Grok 4.20 (Non-Reasoning) up to 30,000 tokens.

Which can read images, PDFs, audio or video?

MiMo-V2-Pro accepts text; Nemotron 3 Super 120B A12B accepts text; Grok 4.20 (Non-Reasoning) accepts text, images and PDFs. Grok 4.20 (Non-Reasoning) 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; MiMo-V2-Pro and Grok 4.20 (Non-Reasoning) is proprietary.

Which is newer?

MiMo-V2-Pro is the newest, released Mar 18, 2026. Nemotron 3 Super 120B A12B came out Mar 11, 2026; Grok 4.20 (Non-Reasoning) came out Mar 9, 2026. Knowledge cutoff: MiMo-V2-Pro Dec 2024, Nemotron 3 Super 120B A12B Jun 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 Nov 2, 2026.