ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini Robotics-ER 1.6 Preview vs GLM-5-Turbo vs GLM-5V-Turbo

Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, GLM-5-Turbo 38). The right pick depends on what you value most.

  1. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
  2. Z.ai (Zhipu)

    GLM-5-Turbo

    Released Mar 16, 2026

    38/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
  3. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, GLM-5-Turbo 38/100), so choose by what matters most for your work: GLM-5-Turbo 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 priceGLM-5-Turbo and GLM-5V-TurboGLM-5-Turbo $1.90 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextGLM-5-Turbo and GLM-5V-TurboGLM-5-Turbo 200,000 · GLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGemini Robotics-ER 1.6 Preview and GLM-5V-TurboGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · GLM-5-Turbo: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewGLM-5-TurboGLM-5V-Turbo
Price50%363737
Inputs & features30%904580
Context window20%243232
Overall100%50/10038/10049/100

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 GLM-5-Turbo vs GLM-5V-Turbo specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleGLM-5-TurboZ.ai (Zhipu)GLM-5V-TurboZ.ai (Zhipu)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.00 (best)$1.20$1.20
Output$5.00$4.00 (best)$4.00 (best)
Cached input—$0.24$0.24
Blended (3:1)$2.00$1.90 (best)$1.90 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Z.AI APIOfficial Z.AI API
Limits
Context window131,072 tokens200,000 tokens (best)200,000 tokens (best)
Max output65,536 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoYes
AudioYesNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model ID—glm-5-turboglm-5v-turbo
API providers117 (best)14
ReleasedApr 14, 2026Mar 16, 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
  • GLM-5-Turbo$20.00
  • GLM-5V-Turbo$20.00
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview, GLM-5-Turbo or GLM-5V-Turbo?

It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, GLM-5-Turbo 38/100), so choose by what matters most for your work: GLM-5-Turbo 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, Gemini Robotics-ER 1.6 Preview, GLM-5-Turbo or GLM-5V-Turbo?

GLM-5-Turbo is cheaper at $1.20 input / $4.00 output per million tokens (official Z.AI API price). GLM-5V-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI 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 $1.90 per million tokens for GLM-5-Turbo versus $1.90 for GLM-5V-Turbo (1× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.1× 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, GLM-5-Turbo has not been scored yet and GLM-5V-Turbo 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, GLM-5-Turbo and GLM-5V-Turbo 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?

GLM-5-Turbo and GLM-5V-Turbo have the largest context windows (200,000 and 200,000 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, GLM-5-Turbo up to 131,072, GLM-5V-Turbo up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; GLM-5-Turbo accepts text; GLM-5V-Turbo accepts text, images, PDFs and video. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.

Are any of these open source?

No. Gemini Robotics-ER 1.6 Preview, GLM-5-Turbo and GLM-5V-Turbo are proprietary and only available through APIs and apps.

Which is newer?

Gemini Robotics-ER 1.6 Preview is the newest, released Apr 14, 2026. GLM-5V-Turbo came out Apr 1, 2026; GLM-5-Turbo came out Mar 16, 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.