ZMIME
Comparison · 3 models · Updated Oct 4, 2026

MiniMax-M2.7-highspeed vs Nemotron Cascade 2 30B A3B vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B comes out ahead, 69 to 35 and 34 on our weighted score.

  1. 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

  2. NVIDIA

    Nemotron Cascade 2 30B A3B

    Released Mar 24, 2026

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

    Alibaba (Qwen)

    Qwen3.5 122B-A10B

    Released Feb 23, 2026

    69/100
    • ECI—
    • Price$0.40 / $3.20
    • Context262K
    Full specs Remove Qwen3.5 122B-A10B
01 — Verdict

Qwen3.5 122B-A10B is our pick

Qwen3.5 122B-A10B is the better all-round choice, scoring 69/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. 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 priceMiniMax-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · Qwen3.5 122B-A10B $1.10 per 1M tokens (3:1 blend) · Nemotron Cascade 2 30B A3B unpriced
  • Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · Nemotron Cascade 2 30B A3B 256,000 · MiniMax-M2.7-highspeed 204,800 tokens
  • Widest inputsQwen3.5 122B-A10BMiniMax-M2.7-highspeed: Text · Nemotron Cascade 2 30B A3B: Text · Qwen3.5 122B-A10B: Text, Images, Audio, Video
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightMiniMax-M2.7-highspeedNemotron Cascade 2 30B A3BQwen3.5 122B-A10B
Inputs & features60%353590
Context window40%323637
Overall100%34/10035/10069/100

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.

MiniMax-M2.7-highspeed vs Nemotron Cascade 2 30B A3B vs Qwen3.5 122B-A10B specifications side by side
SpecificationMiniMax-M2.7-highspeedMiniMaxNemotron Cascade 2 30B A3BNVIDIAQwen3.5 122B-A10BAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.60—$0.40 (best)
Output$2.40 (best)—$3.20
Cached input$0.06——
Blended (3:1)$1.05 (best)—$1.10
Long-context rateSame rate—Same rate
Price sourceOfficial MiniMax (minimax.io) API—Official Alibaba API
Limits
Context window204,800 tokens256,000 tokens262,144 tokens (best)
Max output131,072 tokens (best)32,768 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoNoYes
Availability
WeightsOpenOpenOpen
API model IDMiniMax-M2.7-highspeed—qwen3.5-122b-a10b
API providers14—19 (best)
ReleasedMar 18, 2026Mar 24, 2026Feb 23, 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.

  • MiniMax-M2.7-highspeed$10.80
  • Nemotron Cascade 2 30B A3B—
  • Qwen3.5 122B-A10B$10.40
04 — Questions

Which should you choose?

Which is better: MiniMax-M2.7-highspeed, Nemotron Cascade 2 30B A3B or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the better all-round choice, scoring 69/100 against Nemotron Cascade 2 30B A3B (35) and MiniMax-M2.7-highspeed (34). It leads on inputs & features. 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, MiniMax-M2.7-highspeed, Nemotron Cascade 2 30B A3B or Qwen3.5 122B-A10B?

MiniMax-M2.7-highspeed is cheaper at $0.60 input / $2.40 output per million tokens (official MiniMax (minimax.io) API price). Qwen3.5 122B-A10B costs $0.40 input / $3.20 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.05 per million tokens for MiniMax-M2.7-highspeed versus $1.10 for Qwen3.5 122B-A10B (1× 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. MiniMax-M2.7-highspeed has not been scored yet, Nemotron Cascade 2 30B A3B 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 MiniMax-M2.7-highspeed, Nemotron Cascade 2 30B A3B 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?

Qwen3.5 122B-A10B has the largest context window at 262,144 tokens, against 256,000 for Nemotron Cascade 2 30B A3B and 204,800 for MiniMax-M2.7-highspeed. Maximum output per response: MiniMax-M2.7-highspeed up to 131,072, Nemotron Cascade 2 30B A3B up to 32,768, Qwen3.5 122B-A10B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

MiniMax-M2.7-highspeed accepts text; Nemotron Cascade 2 30B A3B accepts text; Qwen3.5 122B-A10B accepts text, images, audio and video. Qwen3.5 122B-A10B handles the widest range of inputs.

Are any of these open source?

Yes, all three publish their weights, so you can self-host them.

Which is newer?

Nemotron Cascade 2 30B A3B is the newest, released Mar 24, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026; Qwen3.5 122B-A10B came out Feb 23, 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

Related comparisons