ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini Robotics-ER 1.6 Preview vs GLM-5 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 37). 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

    Released Feb 12, 2026

    37/100
    • ECI145.8
    • Price$1.00 / $3.20
    • Context205K
  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 37/100), so choose by what matters most for your work: GLM-5 on price and GLM-5 for long inputs. 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-5GLM-5 $1.55 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextGLM-5GLM-5 204,800 · 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: Text · GLM-5V-Turbo: Text, Images, PDFs, Video
  • Self-hostingGLM-5Publishes downloadable weights
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewGLM-5GLM-5V-Turbo
Price50%364137
Inputs & features30%903580
Context window20%243232
Overall100%50/10037/10049/100

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 vs GLM-5V-Turbo specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleGLM-5Z.ai (Zhipu)GLM-5V-TurboZ.ai (Zhipu)
Capability
Capabilities Index (ECI)—145.8—
ECI rank—#74 of 148—
GPQA DiamondGraduate-level science questions—87.8%—
OTIS Mock AIME 2024–2025Competition mathematics—80.0%—
SWE-bench VerifiedFixing real GitHub issues—72.1%—
Price per million tokens
Input$1.00 (best)$1.00 (best)$1.20
Output$5.00$3.20 (best)$4.00
Cached input—$0.20 (best)$0.24
Blended (3:1)$2.00$1.55 (best)$1.90
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Z.AI APIOfficial Z.AI API
Limits
Context window131,072 tokens204,800 tokens (best)200,000 tokens
Max output65,536 tokens131,072 tokens (best)131,072 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsNoNoYes
AudioYesNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoNo
Availability
WeightsProprietaryOpenProprietary
API model ID—glm-5glm-5v-turbo
API providers127 (best)14
ReleasedApr 14, 2026Feb 12, 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$16.40
  • GLM-5V-Turbo$20.00
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview, GLM-5 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 37/100), so choose by what matters most for your work: GLM-5 on price and GLM-5 for long inputs. 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 or GLM-5V-Turbo?

GLM-5 is cheaper at $1.00 input / $3.20 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 $1.55 per million tokens for GLM-5 versus $1.90 for GLM-5V-Turbo (1.2× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (1.3× 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 has an ECI of 145.8 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 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 has the largest context window at 204,800 tokens, against 200,000 for GLM-5V-Turbo and 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 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 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?

GLM-5 publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview and GLM-5V-Turbo is proprietary.

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 came out Feb 12, 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.