ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Grok 4.20 (Non-Reasoning) vs MiMo-V2-Pro vs Qwen3.5 122B-A10B

Too close to call on our weighted score (Qwen3.5 122B-A10B 54, Grok 4.20 (Non-Reasoning) 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
  2. Xiaomi

    MiMo-V2-Pro

    Released Mar 18, 2026

    42/100
    • ECI—
    • Price$1.00 / $3.00
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen3.5 122B-A10B

    Released Feb 23, 2026

    54/100
    • ECI—
    • Price$0.40 / $3.20
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Qwen3.5 122B-A10B 54/100, Grok 4.20 (Non-Reasoning) 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Qwen3.5 122B-A10B 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 priceQwen3.5 122B-A10BQwen3.5 122B-A10B $1.10 · 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 · Qwen3.5 122B-A10B 262,144 tokens
  • Widest inputsGrok 4.20 (Non-Reasoning) and Qwen3.5 122B-A10BGrok 4.20 (Non-Reasoning): Text, Images, PDFs · MiMo-V2-Pro: Text · Qwen3.5 122B-A10B: Text, Images, Video
  • Self-hostingQwen3.5 122B-A10BPublishes downloadable weights
How the score is built
MeasureWeightGrok 4.20 (Non-Reasoning)MiMo-V2-ProQwen3.5 122B-A10B
Price50%394046
Inputs & features30%703580
Context window20%606137
Overall100%52/10042/10054/100

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 MiMo-V2-Pro vs Qwen3.5 122B-A10B specifications side by side
SpecificationGrok 4.20 (Non-Reasoning)xAIMiMo-V2-ProXiaomiQwen3.5 122B-A10BAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.25$1.00$0.40 (best)
Output$2.50 (best)$3.00$3.20
Cached input$0.20——
Blended (3:1)$1.56$1.50$1.10 (best)
Long-context rateOver 200K: $2.50 / $5.00Same rateSame rate
Price sourceOfficial xAI APIMedian of 1 providersOfficial Alibaba API
Limits
Context window1,000,000 tokens1,048,576 tokens (best)262,144 tokens
Max output30,000 tokens131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningNoYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryProprietaryOpen
API model IDgrok-4.20-0309-non-reasoning—qwen3.5-122b-a10b
API providers13222 (best)
ReleasedMar 9, 2026Mar 18, 2026Feb 23, 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
  • MiMo-V2-Pro$16.00
  • Qwen3.5 122B-A10B$10.40
04 — Questions

Which should you choose?

Which is better: Grok 4.20 (Non-Reasoning), MiMo-V2-Pro or Qwen3.5 122B-A10B?

It is close. Our weighted score puts them within 2 points (Qwen3.5 122B-A10B 54/100, Grok 4.20 (Non-Reasoning) 52/100, MiMo-V2-Pro 42/100), so choose by what matters most for your work: Qwen3.5 122B-A10B 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), MiMo-V2-Pro or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is cheaper at $0.40 input / $3.20 output per million tokens (official Alibaba 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 $1.10 per million tokens for Qwen3.5 122B-A10B versus $1.50 for MiMo-V2-Pro (1.4× as much) and $1.56 for Grok 4.20 (Non-Reasoning) (1.4× 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, MiMo-V2-Pro has not been scored yet and Qwen3.5 122B-A10B has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.20 (Non-Reasoning), MiMo-V2-Pro and Qwen3.5 122B-A10B 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 Qwen3.5 122B-A10B. Maximum output per response: Grok 4.20 (Non-Reasoning) up to 30,000, MiMo-V2-Pro up to 131,072, Qwen3.5 122B-A10B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Grok 4.20 (Non-Reasoning) accepts text, images and PDFs; MiMo-V2-Pro accepts text; Qwen3.5 122B-A10B accepts text, images and video. Grok 4.20 (Non-Reasoning) handles the widest range of inputs.

Are any of these open source?

Qwen3.5 122B-A10B publishes its weights and can be self-hosted; Grok 4.20 (Non-Reasoning) and MiMo-V2-Pro is proprietary.

Which is newer?

MiMo-V2-Pro is the newest, released Mar 18, 2026. Grok 4.20 (Non-Reasoning) came out Mar 9, 2026; Qwen3.5 122B-A10B came out Feb 23, 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.