ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini Robotics-ER 1.6 Preview vs MiniMax-M2.7-highspeed vs Qwen3.5 122B-A10B

Qwen3.5 122B-A10B comes out ahead, 58 to 50 and 41 on our weighted score.

  1. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
  2. MiniMax

    MiniMax-M2.7-highspeed

    Released Mar 18, 2026

    41/100
    • ECI—
    • Price$0.60 / $2.40
    • Context205K
  3. Our pick

    Alibaba (Qwen)

    Qwen3.5 122B-A10B

    Released Feb 23, 2026

    58/100
    • ECI—
    • Price$0.40 / $3.20
    • Context262K
01 — Verdict

Qwen3.5 122B-A10B is our pick

Qwen3.5 122B-A10B is the better all-round choice, scoring 58/100 against Gemini Robotics-ER 1.6 Preview (50) and MiniMax-M2.7-highspeed (41). It leads on context window. 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-M2.7-highspeedMiniMax-M2.7-highspeed $1.05 · Qwen3.5 122B-A10B $1.10 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 122B-A10BQwen3.5 122B-A10B 262,144 · MiniMax-M2.7-highspeed 204,800 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGemini Robotics-ER 1.6 Preview and Qwen3.5 122B-A10BGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · MiniMax-M2.7-highspeed: Text · Qwen3.5 122B-A10B: Text, Images, Audio, Video
  • Self-hostingMiniMax-M2.7-highspeed and Qwen3.5 122B-A10BPublishes downloadable weights
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewMiniMax-M2.7-highspeedQwen3.5 122B-A10B
Price50%364948
Inputs & features30%903590
Context window20%243237
Overall100%50/10041/10058/100

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.

Gemini Robotics-ER 1.6 Preview vs MiniMax-M2.7-highspeed vs Qwen3.5 122B-A10B specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleMiniMax-M2.7-highspeedMiniMaxQwen3.5 122B-A10BAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.00$0.60$0.40 (best)
Output$5.00$2.40 (best)$3.20
Cached input—$0.06—
Blended (3:1)$2.00$1.05 (best)$1.10
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial MiniMax (minimax.io) APIOfficial Alibaba API
Limits
Context window131,072 tokens204,800 tokens262,144 tokens (best)
Max output65,536 tokens131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoNo
AudioYesNoYes
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsProprietaryOpenOpen
API model ID—MiniMax-M2.7-highspeedqwen3.5-122b-a10b
API providers11419 (best)
ReleasedApr 14, 2026Mar 18, 2026Feb 23, 2026
Knowledge cutoffJan 2025——
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.

  • Gemini Robotics-ER 1.6 Preview$20.00
  • MiniMax-M2.7-highspeed$10.80
  • Qwen3.5 122B-A10B$10.40
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview, MiniMax-M2.7-highspeed or Qwen3.5 122B-A10B?

Qwen3.5 122B-A10B is the better all-round choice, scoring 58/100 against Gemini Robotics-ER 1.6 Preview (50) and MiniMax-M2.7-highspeed (41). It leads on context window. 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, Gemini Robotics-ER 1.6 Preview, MiniMax-M2.7-highspeed 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); Gemini Robotics-ER 1.6 Preview costs $1.00 input / $5.00 output per million tokens (median across 1 API provider). 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) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.9× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Gemini Robotics-ER 1.6 Preview has not been scored yet, MiniMax-M2.7-highspeed 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 Gemini Robotics-ER 1.6 Preview, MiniMax-M2.7-highspeed 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 204,800 for MiniMax-M2.7-highspeed and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, MiniMax-M2.7-highspeed up to 131,072, Qwen3.5 122B-A10B up to 65,536 tokens.

Which can read images, PDFs, audio or video?

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; MiniMax-M2.7-highspeed accepts text; Qwen3.5 122B-A10B accepts text, images, audio and video. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.

Are any of these open source?

MiniMax-M2.7-highspeed and Qwen3.5 122B-A10B publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview is proprietary.

Which is newer?

Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. MiniMax-M2.7-highspeed came out Mar 18, 2026; Qwen3.5 122B-A10B came out Feb 23, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025.

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.