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Comparison · 3 models · Updated Nov 2, 2026

Grok 4.20 (Non-Reasoning) vs Mercury 2 vs MiMo-V2-Pro

Too close to call on our weighted score (Grok 4.20 (Non-Reasoning) 52, Mercury 2 52, MiMo-V2-Pro 42). The right pick depends on what you value most.

  1. xAI

    Grok 4.20 (Non-Reasoning)

    Released Mar 9, 2026

    52/100
    • ECI—
    • Price$1.25 / $2.50
    • Context1M
    Full specs Remove Grok 4.20 (Non-Reasoning)

  2. Inception

    Mercury 2

    Released Feb 24, 2026

    52/100
    • ECI—
    • Price$0.25 / $0.75
    • Context128K
    Full specs Remove Mercury 2

  3. Xiaomi

    MiMo-V2-Pro

    Released Mar 18, 2026

    42/100
    • ECI—
    • Price$1.00 / $3.00
    • Context1.05M
    Full specs Remove MiMo-V2-Pro
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Grok 4.20 (Non-Reasoning) 52/100, Mercury 2 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Mercury 2 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 priceMercury 2Mercury 2 $0.375 · 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 · Mercury 2 128,000 tokens
  • Widest inputsGrok 4.20 (Non-Reasoning)Grok 4.20 (Non-Reasoning): Text, Images, PDFs · Mercury 2: Text · MiMo-V2-Pro: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGrok 4.20 (Non-Reasoning)Mercury 2MiMo-V2-Pro
Price50%396740
Inputs & features30%704535
Context window20%602461
Overall100%52/10052/10042/100

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.

Grok 4.20 (Non-Reasoning) vs Mercury 2 vs MiMo-V2-Pro specifications side by side
SpecificationGrok 4.20 (Non-Reasoning)xAIMercury 2InceptionMiMo-V2-ProXiaomi
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25$0.25 (best)$1.00
Output$2.50$0.75 (best)$3.00
Cached input$0.20$0.025 (best)—
Blended (3:1)$1.56$0.375 (best)$1.50
Long-context rateOver 200K: $2.50 / $5.00Same rateSame rate
Price sourceOfficial xAI APIOfficial Inception APIMedian of 1 providers
Limits
Context window1,000,000 tokens128,000 tokens1,048,576 tokens (best)
Max output30,000 tokens50,000 tokens131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningNoYeslow · medium · highYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model IDgrok-4.20-0309-non-reasoningmercury-2—
API providers13 (best)72
ReleasedMar 9, 2026Feb 24, 2026Mar 18, 2026
Knowledge cutoff——Dec 2024
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.

  • Grok 4.20 (Non-Reasoning)$17.50
  • Mercury 2$4.00
  • MiMo-V2-Pro$16.00
04 — Questions

Which should you choose?

Which is better: Grok 4.20 (Non-Reasoning), Mercury 2 or MiMo-V2-Pro?

It is close. Our weighted score puts them within a point (Grok 4.20 (Non-Reasoning) 52/100, Mercury 2 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Mercury 2 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 4.20 (Non-Reasoning), Mercury 2 or MiMo-V2-Pro?

Mercury 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception API price). 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 $0.375 per million tokens for Mercury 2 versus $1.50 for MiMo-V2-Pro (4× as much) and $1.56 for Grok 4.20 (Non-Reasoning) (4.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Grok 4.20 (Non-Reasoning) has not been scored yet, Mercury 2 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 4.20 (Non-Reasoning), Mercury 2 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 1,000,000 for Grok 4.20 (Non-Reasoning) and 128,000 for Mercury 2. Maximum output per response: Grok 4.20 (Non-Reasoning) up to 30,000, Mercury 2 up to 50,000, MiMo-V2-Pro up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Grok 4.20 (Non-Reasoning) accepts text, images and PDFs; Mercury 2 accepts text; MiMo-V2-Pro accepts text. Grok 4.20 (Non-Reasoning) handles the widest range of inputs.

Are any of these open source?

No. Grok 4.20 (Non-Reasoning), Mercury 2 and MiMo-V2-Pro are proprietary and only available through APIs and apps.

Which is newer?

MiMo-V2-Pro is the newest, released Mar 18, 2026. Grok 4.20 (Non-Reasoning) came out Mar 9, 2026; Mercury 2 came out Feb 24, 2026. Knowledge cutoff: 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.

05 — Keep comparing

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