ZMIME
Comparison · 2 models · Updated Oct 4, 2026

Gemini Robotics-ER 1.6 Preview vs Trinity Large Thinking

Trinity Large Thinking comes out ahead, 55 to 50 on our weighted score, and it is the cheaper option too.

  1. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
    Full specs Remove Gemini Robotics-ER 1.6 Preview
  2. Our pick

    Arcee AI

    Trinity Large Thinking

    Released Apr 1, 2026Beta

    55/100
    • ECI—
    • Price$0.25 / $0.80
    • Context524K
    Full specs Remove Trinity Large Thinking

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Trinity Large Thinking is our pick

Trinity Large Thinking is the better all-round choice, scoring 55/100 against Gemini Robotics-ER 1.6 Preview (50). It leads on price and context window. Gemini Robotics-ER 1.6 Preview wins on inputs & features. 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 priceTrinity Large ThinkingTrinity Large Thinking $0.388 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextTrinity Large ThinkingTrinity Large Thinking 524,288 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Trinity Large Thinking: Text
  • Self-hostingTrinity Large ThinkingPublishes downloadable weights (OpenMDW-1.1)
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewTrinity Large Thinking
Price50%3669
Inputs & features30%9035
Context window20%2449
Overall100%50/10055/100

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 Trinity Large Thinking specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleTrinity Large ThinkingArcee AI
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$1.00$0.25 (best)
Output$5.00$0.80 (best)
Cached input—$0.06
Blended (3:1)$2.00$0.388 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Arcee API
Limits
Context window131,072 tokens524,288 tokens (best)
Max output65,536 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioYesNo
VideoYesNo
ReasoningYesYes
Tool callingYesYes
Structured outputYesNo
Availability
WeightsProprietaryOpenOpenMDW-1.1
API model ID—trinity-large-thinking
API providers16 (best)
ReleasedApr 14, 2026Apr 1, 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
  • Trinity Large Thinking$4.10
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview or Trinity Large Thinking?

Trinity Large Thinking is the better all-round choice, scoring 55/100 against Gemini Robotics-ER 1.6 Preview (50). It leads on price and context window. Gemini Robotics-ER 1.6 Preview wins on inputs & features. 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 or Trinity Large Thinking?

Trinity Large Thinking is cheaper at $0.25 input / $0.80 output per million tokens (official Arcee 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 $0.388 per million tokens for Trinity Large Thinking versus $2.00 for Gemini Robotics-ER 1.6 Preview (5.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Gemini Robotics-ER 1.6 Preview has not been scored yet and Trinity Large Thinking 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 and Trinity Large Thinking yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Trinity Large Thinking has the largest context window at 524,288 tokens, against 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, Trinity Large Thinking up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; Trinity Large Thinking accepts text. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.

Are any of these open source?

Trinity Large Thinking publishes its weights (OpenMDW-1.1) 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. Trinity Large Thinking came out Apr 1, 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.

05 — Keep comparing

Related comparisons