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Comparison · 3 models · Updated Nov 2, 2026

Gemini Robotics-ER 1.6 Preview vs GPT-5 Chat vs Qwen MT Plus

Gemini Robotics-ER 1.6 Preview comes out ahead, 46 to 31 and 11 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    46/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
  2. OpenAI

    GPT-5 Chat

    Released Aug 7, 2025

    31/100
    • ECI—
    • Price$1.25 / $10.00
    • Context400K
  3. Alibaba (Qwen)

    Qwen MT Plus

    Released Jul 24, 2025

    11/100
    • ECI—
    • Price$2.46 / $7.37
    • Context16K
01 — Verdict

Gemini Robotics-ER 1.6 Preview is our pick

Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 46/100 against GPT-5 Chat (31) and Qwen MT Plus (11). It leads on price and inputs & features. GPT-5 Chat wins on context window. 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 priceGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview $2.00 · GPT-5 Chat $3.44 · Qwen MT Plus $3.69 per 1M tokens (3:1 blend)
  • Longest contextGPT-5 ChatGPT-5 Chat 400,000 · Gemini Robotics-ER 1.6 Preview 131,072 · Qwen MT Plus 16,384 tokens
  • Widest inputsGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · GPT-5 Chat: Text, Images · Qwen MT Plus: Text
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewGPT-5 ChatQwen MT Plus
Price50%342322
Inputs & features30%80350
Context window20%25440
Overall100%46/10031/10011/100

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 GPT-5 Chat vs Qwen MT Plus specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleGPT-5 ChatOpenAIQwen MT PlusAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$1.00 (best)$1.25$2.46
Output$5.00 (best)$10.00$7.37
Cached input———
Blended (3:1)$2.00 (best)$3.44$3.69
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 1 providersMedian of 5 providersOfficial Alibaba API
Limits
Context window131,072 tokens400,000 tokens (best)16,384 tokens
Max output65,536 tokens128,000 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesNo
Tool callingYesNoNo
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryProprietary
API model ID——qwen-mt-plus
API providers15 (best)3
ReleasedApr 14, 2026Aug 7, 2025Jul 24, 2025
Knowledge cutoffJan 2025Sep 30, 2024—
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
  • GPT-5 Chat$32.50
  • Qwen MT Plus$39.34
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview, GPT-5 Chat or Qwen MT Plus?

Gemini Robotics-ER 1.6 Preview is the better all-round choice, scoring 46/100 against GPT-5 Chat (31) and Qwen MT Plus (11). It leads on price and inputs & features. GPT-5 Chat wins on context window. 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, GPT-5 Chat or Qwen MT Plus?

Gemini Robotics-ER 1.6 Preview is cheaper at $1.00 input / $5.00 output per million tokens (median across 1 API provider). GPT-5 Chat costs $1.25 input / $10.00 output per million tokens (median across 5 API providers); Qwen MT Plus costs $2.46 input / $7.37 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $2.00 per million tokens for Gemini Robotics-ER 1.6 Preview versus $3.44 for GPT-5 Chat (1.7× as much) and $3.69 for Qwen MT Plus (1.8× 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, GPT-5 Chat has not been scored yet and Qwen MT Plus 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, GPT-5 Chat and Qwen MT Plus yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that GPT-5 Chat and Qwen MT Plus does not support tool calling, which most coding agents need.

Which has the bigger context window?

GPT-5 Chat has the largest context window at 400,000 tokens, against 131,072 for Gemini Robotics-ER 1.6 Preview and 16,384 for Qwen MT Plus. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, GPT-5 Chat up to 128,000, Qwen MT Plus up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; GPT-5 Chat accepts text and images; Qwen MT Plus accepts text. 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, GPT-5 Chat and Qwen MT Plus 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. GPT-5 Chat came out Aug 7, 2025; Qwen MT Plus came out Jul 24, 2025. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025, GPT-5 Chat Sep 30, 2024.

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 Nov 2, 2026.