ZMIME
Comparison · 3 models · Updated Oct 4, 2026

GLM-5V-Turbo vs GPT-4.1 mini vs Gemini Robotics-ER 1.6 Preview

GPT-4.1 mini comes out ahead, 62 to 50 and 49 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
  2. Our pick

    OpenAI

    GPT-4.1 mini

    Released Apr 14, 2025

    62/100
    • ECI135.0
    • Price$0.40 / $1.60
    • Context1.05M
  3. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
01 — Verdict

GPT-4.1 mini is our pick

GPT-4.1 mini is the better all-round choice, scoring 62/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). 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 priceGPT-4.1 miniGPT-4.1 mini $0.70 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextGPT-4.1 miniGPT-4.1 mini 1,047,576 · GLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGLM-5V-Turbo and Gemini Robotics-ER 1.6 PreviewGLM-5V-Turbo: Text, Images, PDFs, Video · GPT-4.1 mini: Text, Images, PDFs · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGLM-5V-TurboGPT-4.1 miniGemini Robotics-ER 1.6 Preview
Price50%375736
Inputs & features30%807090
Context window20%326124
Overall100%49/10062/10050/100

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.

GLM-5V-Turbo vs GPT-4.1 mini vs Gemini Robotics-ER 1.6 Preview specifications side by side
SpecificationGLM-5V-TurboZ.ai (Zhipu)GPT-4.1 miniOpenAIGemini Robotics-ER 1.6 PreviewGoogle
Capability
Capabilities Index (ECI)—135.0—
ECI rank—#115 of 148—
GPQA DiamondGraduate-level science questions—65.9%—
FrontierMath Tiers 1–3Research-level mathematics—6.7%—
OTIS Mock AIME 2024–2025Competition mathematics—44.7%—
SimpleQA VerifiedShort factual questions—12.7%—
Price per million tokens
Input$1.20$0.40 (best)$1.00
Output$4.00$1.60 (best)$5.00
Cached input$0.24$0.10 (best)—
Blended (3:1)$1.90$0.70 (best)$2.00
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Z.AI APIOfficial OpenAI APIMedian of 1 providers
Limits
Context window200,000 tokens1,047,576 tokens (best)131,072 tokens
Max output131,072 tokens (best)32,768 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesYesNo
AudioNoNoYes
VideoYesNoYes
ReasoningYesNoYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryProprietaryProprietary
API model IDglm-5v-turbogpt-4.1-mini—
API providers1424 (best)1
ReleasedApr 1, 2026Apr 14, 2025Apr 14, 2026
Knowledge cutoff—Apr 2024Jan 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.

  • GLM-5V-Turbo$20.00
  • GPT-4.1 mini$7.20
  • Gemini Robotics-ER 1.6 Preview$20.00
04 — Questions

Which should you choose?

Which is better: GLM-5V-Turbo, GPT-4.1 mini or Gemini Robotics-ER 1.6 Preview?

GPT-4.1 mini is the better all-round choice, scoring 62/100 against Gemini Robotics-ER 1.6 Preview (50) and GLM-5V-Turbo (49). 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, GLM-5V-Turbo, GPT-4.1 mini or Gemini Robotics-ER 1.6 Preview?

GPT-4.1 mini is cheaper at $0.40 input / $1.60 output per million tokens (official OpenAI 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 $0.70 per million tokens for GPT-4.1 mini versus $1.90 for GLM-5V-Turbo (2.7× as much) and $2.00 for Gemini Robotics-ER 1.6 Preview (2.9× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. GLM-5V-Turbo has not been scored yet, GPT-4.1 mini has an ECI of 135.0 and Gemini Robotics-ER 1.6 Preview has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-5V-Turbo, GPT-4.1 mini and Gemini Robotics-ER 1.6 Preview 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?

GPT-4.1 mini has the largest context window at 1,047,576 tokens, against 200,000 for GLM-5V-Turbo and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: GLM-5V-Turbo up to 131,072, GPT-4.1 mini up to 32,768, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-5V-Turbo accepts text, images, PDFs and video; GPT-4.1 mini accepts text, images and PDFs; Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video. GLM-5V-Turbo handles the widest range of inputs.

Are any of these open source?

No. GLM-5V-Turbo, GPT-4.1 mini and Gemini Robotics-ER 1.6 Preview 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; GPT-4.1 mini came out Apr 14, 2025. Knowledge cutoff: GPT-4.1 mini Apr 2024, 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.