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Comparison · 3 models · Updated Oct 4, 2026

Nemotron Cascade 2 30B A3B vs MiniMax-M2.7-highspeed vs Mercury Edit 2

Too close to call on our weighted score (Nemotron Cascade 2 30B A3B 35, MiniMax-M2.7-highspeed 34, Mercury Edit 2 0). The right pick depends on what you value most.

  1. NVIDIA

    Nemotron Cascade 2 30B A3B

    Released Mar 24, 2026

    35/100
    • ECI—
    • Price—
    • Context256K
    Full specs Remove Nemotron Cascade 2 30B A3B

  2. MiniMax

    MiniMax-M2.7-highspeed

    Released Mar 18, 2026

    34/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
    Full specs Remove MiniMax-M2.7-highspeed

  3. Inception

    Mercury Edit 2

    Released Mar 30, 2026

    0/100
    • ECI—
    • Price$0.25 / $0.75
    • Context32K
    Full specs Remove Mercury Edit 2
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Nemotron Cascade 2 30B A3B 35/100, MiniMax-M2.7-highspeed 34/100, Mercury Edit 2 0/100), so choose by what matters most for your work: Mercury Edit 2 on price and Nemotron Cascade 2 30B A3B for long inputs. 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 priceMercury Edit 2Mercury Edit 2 $0.375 · MiniMax-M2.7-highspeed $1.05 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 · Mercury Edit 2 32,000 tokens
  • Widest inputsSame inputsNemotron Cascade 2 30B A3B: Text · MiniMax-M2.7-highspeed: Text · Mercury Edit 2: Text
  • Self-hostingNemotron Cascade 2 30B A3B and MiniMax-M2.7-highspeedPublishes downloadable weights
How the score is built
MeasureWeightNemotron Cascade 2 30B A3BMiniMax-M2.7-highspeedMercury Edit 2
Inputs & features60%35350
Context window40%36320
Overall100%35/10034/1000/100

Left out because at least one model lacks the data: capability and price. 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.

Nemotron Cascade 2 30B A3B vs MiniMax-M2.7-highspeed vs Mercury Edit 2 specifications side by side
SpecificationNemotron Cascade 2 30B A3BNVIDIAMiniMax-M2.7-highspeedMiniMaxMercury Edit 2Inception
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input—$0.60$0.25 (best)
Output—$2.40$0.75 (best)
Cached input—$0.06$0.025 (best)
Blended (3:1)—$1.05$0.375 (best)
Long-context rate—Same rateSame rate
Price source—Official MiniMax (minimax.io) APIOfficial Inception API
Limits
Context window256,000 tokens (best)204,800 tokens32,000 tokens
Max output32,768 tokens131,072 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesNoNoNo
PDFsNoNoNo
AudioNoNoNo
VideoNoNoNo
ReasoningYesYesNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenOpenProprietary
API model ID—MiniMax-M2.7-highspeedmercury-edit-2
API providers—14 (best)1
ReleasedMar 24, 2026Mar 18, 2026Mar 30, 2026
Knowledge cutoff———
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.

  • Nemotron Cascade 2 30B A3B—
  • MiniMax-M2.7-highspeed$10.80
  • Mercury Edit 2$4.00
04 — Questions

Which should you choose?

Which is better: Nemotron Cascade 2 30B A3B, MiniMax-M2.7-highspeed or Mercury Edit 2?

It is close. Our weighted score puts them within 2 points (Nemotron Cascade 2 30B A3B 35/100, MiniMax-M2.7-highspeed 34/100, Mercury Edit 2 0/100), so choose by what matters most for your work: Mercury Edit 2 on price and Nemotron Cascade 2 30B A3B for long inputs. 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, MiniMax-M2.7-highspeed or Mercury Edit 2?

Mercury Edit 2 is cheaper at $0.25 input / $0.75 output per million tokens (official Inception API price). MiniMax-M2.7-highspeed costs $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). At a typical mix of three input tokens to one output token, that is $0.375 per million tokens for Mercury Edit 2 versus $1.05 for MiniMax-M2.7-highspeed (2.8× 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, MiniMax-M2.7-highspeed has not been scored yet and Mercury Edit 2 has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron Cascade 2 30B A3B, MiniMax-M2.7-highspeed and Mercury Edit 2 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Mercury Edit 2 does not support tool calling, which most coding agents need.

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 32,000 for Mercury Edit 2. Maximum output per response: Nemotron Cascade 2 30B A3B up to 32,768, MiniMax-M2.7-highspeed up to 131,072, Mercury Edit 2 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Nemotron Cascade 2 30B A3B accepts text; MiniMax-M2.7-highspeed accepts text; Mercury Edit 2 accepts text. They handle the same number of input types.

Are any of these open source?

Nemotron Cascade 2 30B A3B and MiniMax-M2.7-highspeed publishes its weights and can be self-hosted; Mercury Edit 2 is proprietary.

Which is newer?

Mercury Edit 2 is the newest, released Mar 30, 2026. Nemotron Cascade 2 30B A3B came out Mar 24, 2026; MiniMax-M2.7-highspeed came out Mar 18, 2026.

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.

05 — Keep comparing

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