ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Nemotron 3 Ultra 550B A55B vs MiniMax-M2 Her vs Qwen3.6 27B

Qwen3.6 27B comes out ahead, 56 to 50 and 45 on our weighted score, though MiniMax-M2 Her is 2.6× cheaper per token.

  1. NVIDIA

    Nemotron 3 Ultra 550B A55B

    Released Jun 4, 2026

    50/100
    • ECI146.2
    • Price$0.50 / $2.50
    • Context1M
  2. MiniMax

    MiniMax-M2 Her

    Released Jan 23, 2026

    45/100
    • ECI—
    • Price$0.30 / $1.20
    • Context66K
  3. Our pick

    Alibaba (Qwen)

    Qwen3.6 27B

    Released Apr 22, 2026

    56/100
    • ECI146.5
    • Price$0.60 / $3.60
    • Context262K
01 — Verdict

Qwen3.6 27B is our pick

Qwen3.6 27B is the better all-round choice, scoring 56/100 against Nemotron 3 Ultra 550B A55B (50) and MiniMax-M2 Her (45). It leads on inputs & features. Nemotron 3 Ultra 550B A55B wins on context window. MiniMax-M2 Her wins on price. 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 priceMiniMax-M2 HerMiniMax-M2 Her $0.525 · Nemotron 3 Ultra 550B A55B $1.00 · Qwen3.6 27B $1.35 per 1M tokens (3:1 blend)
  • Longest contextNemotron 3 Ultra 550B A55BNemotron 3 Ultra 550B A55B 1,000,000 · Qwen3.6 27B 262,144 · MiniMax-M2 Her 65,536 tokens
  • Widest inputsQwen3.6 27BNemotron 3 Ultra 550B A55B: Text · MiniMax-M2 Her: Text · Qwen3.6 27B: Text, Images, Audio, Video
  • Self-hostingNemotron 3 Ultra 550B A55B and Qwen3.6 27BPublishes downloadable weights
How the score is built
MeasureWeightNemotron 3 Ultra 550B A55BMiniMax-M2 HerQwen3.6 27B
Price50%506344
Inputs & features30%453590
Context window20%601237
Overall100%50/10045/10056/100

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.

Nemotron 3 Ultra 550B A55B vs MiniMax-M2 Her vs Qwen3.6 27B specifications side by side
SpecificationNemotron 3 Ultra 550B A55BNVIDIAMiniMax-M2 HerMiniMaxQwen3.6 27BAlibaba (Qwen)
Capability
Capabilities Index (ECI)146.2—146.5 (best)
ECI rank#70 of 148—#68 of 148 (best)
GPQA DiamondGraduate-level science questions85.4%—85.9% (best)
FrontierMath Tiers 1–3Research-level mathematics——35.1%
OTIS Mock AIME 2024–2025Competition mathematics86.7%—91.1% (best)
Price per million tokens
Input$0.50$0.30 (best)$0.60
Output$2.50$1.20 (best)$3.60
Cached input$0.15——
Blended (3:1)$1.00$0.525 (best)$1.35
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Nvidia APIMedian of 4 providersOfficial Alibaba API
Limits
Context window1,000,000 tokens (best)65,536 tokens262,144 tokens
Max output128,000 tokens (best)2,048 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoNoYes
PDFsNoNoNo
AudioNoNoYes
VideoNoNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsOpenProprietaryOpen
API model IDnvidia/nemotron-3-ultra-550b-a55b—qwen3.6-27b
API providers21427 (best)
ReleasedJun 4, 2026Jan 23, 2026Apr 22, 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 3 Ultra 550B A55B$10.00
  • MiniMax-M2 Her$5.40
  • Qwen3.6 27B$13.20
04 — Questions

Which should you choose?

Which is better: Nemotron 3 Ultra 550B A55B, MiniMax-M2 Her or Qwen3.6 27B?

Qwen3.6 27B is the better all-round choice, scoring 56/100 against Nemotron 3 Ultra 550B A55B (50) and MiniMax-M2 Her (45). It leads on inputs & features. Nemotron 3 Ultra 550B A55B wins on context window. MiniMax-M2 Her wins on price. 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, Nemotron 3 Ultra 550B A55B, MiniMax-M2 Her or Qwen3.6 27B?

MiniMax-M2 Her is cheaper at $0.30 input / $1.20 output per million tokens (median across 4 API providers). Nemotron 3 Ultra 550B A55B costs $0.50 input / $2.50 output per million tokens (official Nvidia API price); Qwen3.6 27B costs $0.60 input / $3.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for MiniMax-M2 Her versus $1.00 for Nemotron 3 Ultra 550B A55B (1.9× as much) and $1.35 for Qwen3.6 27B (2.6× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Nemotron 3 Ultra 550B A55B has an ECI of 146.2, MiniMax-M2 Her has not been scored yet and Qwen3.6 27B has an ECI of 146.5.

Which is better for coding?

There are no published SWE-bench Verified results for Nemotron 3 Ultra 550B A55B, MiniMax-M2 Her and Qwen3.6 27B 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?

Nemotron 3 Ultra 550B A55B has the largest context window at 1,000,000 tokens, against 262,144 for Qwen3.6 27B and 65,536 for MiniMax-M2 Her. Maximum output per response: Nemotron 3 Ultra 550B A55B up to 128,000, MiniMax-M2 Her up to 2,048, Qwen3.6 27B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Nemotron 3 Ultra 550B A55B accepts text; MiniMax-M2 Her accepts text; Qwen3.6 27B accepts text, images, audio and video. Qwen3.6 27B handles the widest range of inputs.

Are any of these open source?

Nemotron 3 Ultra 550B A55B and Qwen3.6 27B publishes its weights and can be self-hosted; MiniMax-M2 Her is proprietary.

Which is newer?

Nemotron 3 Ultra 550B A55B is the newest, released Jun 4, 2026. Qwen3.6 27B came out Apr 22, 2026; MiniMax-M2 Her came out Jan 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.