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Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V4 Pro vs GLM-5V-Turbo vs Gemini Robotics-ER 1.6 Preview

Too close to call on our weighted score (Gemini Robotics-ER 1.6 Preview 50, GLM-5V-Turbo 49, DeepSeek V4 Pro 45). The right pick depends on what you value most.

  1. DeepSeek

    DeepSeek V4 Pro

    Released Apr 24, 2026

    45/100
    • ECI—
    • Price$1.32 / $3.00
    • Context1M
  2. Z.ai (Zhipu)

    GLM-5V-Turbo

    Released Apr 1, 2026

    49/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
  3. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
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, DeepSeek V4 Pro 45/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro 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 priceDeepSeek V4 ProDeepSeek V4 Pro $1.74 · GLM-5V-Turbo $1.90 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 ProDeepSeek V4 Pro 1,000,000 · GLM-5V-Turbo 200,000 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGLM-5V-Turbo and Gemini Robotics-ER 1.6 PreviewDeepSeek V4 Pro: Text · GLM-5V-Turbo: Text, Images, PDFs, Video · Gemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video
  • Self-hostingDeepSeek V4 ProPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek V4 ProGLM-5V-TurboGemini Robotics-ER 1.6 Preview
Price50%383736
Inputs & features30%458090
Context window20%603224
Overall100%45/10049/10050/100

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.

DeepSeek V4 Pro vs GLM-5V-Turbo vs Gemini Robotics-ER 1.6 Preview specifications side by side
SpecificationDeepSeek V4 ProDeepSeekGLM-5V-TurboZ.ai (Zhipu)Gemini Robotics-ER 1.6 PreviewGoogle
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.32$1.20$1.00 (best)
Output$3.00 (best)$4.00$5.00
Cached input—$0.24—
Blended (3:1)$1.74 (best)$1.90$2.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 49 providersOfficial Z.AI APIMedian of 1 providers
Limits
Context window1,000,000 tokens (best)200,000 tokens131,072 tokens
Max output384,000 tokens (best)131,072 tokens65,536 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoYesNo
AudioNoNoYes
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesNoYes
Availability
WeightsOpenProprietaryProprietary
API model ID—glm-5v-turbo—
API providers52 (best)141
ReleasedApr 24, 2026Apr 1, 2026Apr 14, 2026
Knowledge cutoffMay 2025—Jan 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.

  • DeepSeek V4 Pro$19.20
  • GLM-5V-Turbo$20.00
  • Gemini Robotics-ER 1.6 Preview$20.00
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Pro, GLM-5V-Turbo or Gemini Robotics-ER 1.6 Preview?

It is close. Our weighted score puts them within 1 points (Gemini Robotics-ER 1.6 Preview 50/100, GLM-5V-Turbo 49/100, DeepSeek V4 Pro 45/100), so choose by what matters most for your work: DeepSeek V4 Pro on price and DeepSeek V4 Pro 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, DeepSeek V4 Pro, GLM-5V-Turbo or Gemini Robotics-ER 1.6 Preview?

DeepSeek V4 Pro is cheaper at $1.32 input / $3.00 output per million tokens (median across 49 API providers). 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 $1.74 per million tokens for DeepSeek V4 Pro versus $1.90 for GLM-5V-Turbo (1.1× 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. DeepSeek V4 Pro has not been scored yet, GLM-5V-Turbo has not been scored yet 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 DeepSeek V4 Pro, GLM-5V-Turbo 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?

DeepSeek V4 Pro has the largest context window at 1,000,000 tokens, against 200,000 for GLM-5V-Turbo and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: DeepSeek V4 Pro up to 384,000, GLM-5V-Turbo up to 131,072, Gemini Robotics-ER 1.6 Preview up to 65,536 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Pro accepts text; GLM-5V-Turbo accepts text, images, PDFs and video; 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?

DeepSeek V4 Pro publishes its weights and can be self-hosted; GLM-5V-Turbo and Gemini Robotics-ER 1.6 Preview is proprietary.

Which is newer?

DeepSeek V4 Pro is the newest, released Apr 24, 2026. Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026; GLM-5V-Turbo came out Apr 1, 2026. Knowledge cutoff: DeepSeek V4 Pro May 2025, 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.