ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini Robotics-ER 1.6 Preview vs Grok 4.3 vs Kimi K2.7 Code

Grok 4.3 comes out ahead, 56 to 51 and 50 on our weighted score, and it is the cheaper option too.

  1. Google

    Gemini Robotics-ER 1.6 Preview

    Released Apr 14, 2026

    50/100
    • ECI—
    • Price$1.00 / $5.00
    • Context131K
  2. Our pick

    xAI

    Grok 4.3

    Released Apr 17, 2026

    56/100
    • ECI149.2
    • Price$1.25 / $2.50
    • Context1M
  3. Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    51/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
01 — Verdict

Grok 4.3 is our pick

Grok 4.3 is the better all-round choice, scoring 56/100 against Kimi K2.7 Code (51) and Gemini Robotics-ER 1.6 Preview (50). 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 priceGrok 4.3Grok 4.3 $1.56 · Kimi K2.7 Code $1.71 · Gemini Robotics-ER 1.6 Preview $2.00 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.3Grok 4.3 1,000,000 · Kimi K2.7 Code 262,144 · Gemini Robotics-ER 1.6 Preview 131,072 tokens
  • Widest inputsGemini Robotics-ER 1.6 PreviewGemini Robotics-ER 1.6 Preview: Text, Images, Audio, Video · Grok 4.3: Text, Images, PDFs · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightGemini Robotics-ER 1.6 PreviewGrok 4.3Kimi K2.7 Code
Price50%364139
Inputs & features30%908080
Context window20%246037
Overall100%50/10056/10051/100

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 Grok 4.3 vs Kimi K2.7 Code specifications side by side
SpecificationGemini Robotics-ER 1.6 PreviewGoogleGrok 4.3xAIKimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)—149.2150.0 (best)
ECI rank—#55 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions—88.8% (best)87.9%
FrontierMath Tiers 1–3Research-level mathematics—42.8%54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics—93.3%95.6% (best)
SimpleQA VerifiedShort factual questions—33.2%36.5% (best)
Price per million tokens
Input$1.00$1.25$0.95 (best)
Output$5.00$2.50 (best)$4.00
Cached input—$0.20$0.19 (best)
Blended (3:1)$2.00$1.56 (best)$1.71
Long-context rateSame rateOver 200K: $2.50 / $5.00Same rate
Price sourceMedian of 1 providersOfficial xAI APIOfficial Moonshot AI API
Limits
Context window131,072 tokens1,000,000 tokens (best)262,144 tokens
Max output65,536 tokens30,000 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesNo
AudioYesNoNo
VideoYesNoYes
ReasoningYesYeslow · medium · highYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryProprietaryOpen
API model ID—grok-4.3kimi-k2.7-code
API providers12751 (best)
ReleasedApr 14, 2026Apr 17, 2026Jun 12, 2026
Knowledge cutoffJan 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.

  • Gemini Robotics-ER 1.6 Preview$20.00
  • Grok 4.3$17.50
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Gemini Robotics-ER 1.6 Preview, Grok 4.3 or Kimi K2.7 Code?

Grok 4.3 is the better all-round choice, scoring 56/100 against Kimi K2.7 Code (51) and Gemini Robotics-ER 1.6 Preview (50). 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, Gemini Robotics-ER 1.6 Preview, Grok 4.3 or Kimi K2.7 Code?

Grok 4.3 is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Kimi K2.7 Code costs $0.95 input / $4.00 output per million tokens (official Moonshot 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 $1.56 per million tokens for Grok 4.3 versus $1.71 for Kimi K2.7 Code (1.1× 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, Grok 4.3 has an ECI of 149.2 and Kimi K2.7 Code has an ECI of 150.0.

Which is better for coding?

There are no published SWE-bench Verified results for Gemini Robotics-ER 1.6 Preview, Grok 4.3 and Kimi K2.7 Code 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?

Grok 4.3 has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.7 Code and 131,072 for Gemini Robotics-ER 1.6 Preview. Maximum output per response: Gemini Robotics-ER 1.6 Preview up to 65,536, Grok 4.3 up to 30,000, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Gemini Robotics-ER 1.6 Preview accepts text, images, audio and video; Grok 4.3 accepts text, images and PDFs; Kimi K2.7 Code accepts text, images and video. Gemini Robotics-ER 1.6 Preview handles the widest range of inputs.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; Gemini Robotics-ER 1.6 Preview and Grok 4.3 is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Grok 4.3 came out Apr 17, 2026; Gemini Robotics-ER 1.6 Preview came out Apr 14, 2026. Knowledge cutoff: Gemini Robotics-ER 1.6 Preview Jan 2025, Kimi K2.7 Code 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.