ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Kimi K2.6 vs Kimi K2.7 Code Highspeed vs Grok 4.20 (Reasoning)

Grok 4.20 (Reasoning) comes out ahead, 56 to 51 and 44 on our weighted score, and it is the cheaper option too.

  1. Moonshot AI

    Kimi K2.6

    Released Apr 21, 2026

    51/100
    • ECI151.1
    • Price$0.95 / $4.00
    • Context262K
  2. Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

    44/100
    • ECI—
    • Price$1.90 / $8.00
    • Context262K
  3. Our pick

    xAI

    Grok 4.20 (Reasoning)

    Released Mar 9, 2026

    56/100
    • ECI152.0
    • Price$1.25 / $2.50
    • Context1M
01 — Verdict

Grok 4.20 (Reasoning) is our pick

Grok 4.20 (Reasoning) is the better all-round choice, scoring 56/100 against Kimi K2.6 (51) and Kimi K2.7 Code Highspeed (44). It leads on price and 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 priceGrok 4.20 (Reasoning)Grok 4.20 (Reasoning) $1.56 · Kimi K2.6 $1.71 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.20 (Reasoning)Grok 4.20 (Reasoning) 1,000,000 · Kimi K2.6 262,144 · Kimi K2.7 Code Highspeed 262,144 tokens
  • Widest inputsSame inputsKimi K2.6: Text, Images, Video · Kimi K2.7 Code Highspeed: Text, Images, Video · Grok 4.20 (Reasoning): Text, Images, PDFs
  • Self-hostingKimi K2.6 and Kimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightKimi K2.6Kimi K2.7 Code HighspeedGrok 4.20 (Reasoning)
Price50%392541
Inputs & features30%808080
Context window20%373760
Overall100%51/10044/10056/100

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.

Kimi K2.6 vs Kimi K2.7 Code Highspeed vs Grok 4.20 (Reasoning) specifications side by side
SpecificationKimi K2.6Moonshot AIKimi K2.7 Code HighspeedMoonshot AIGrok 4.20 (Reasoning)xAI
Capability
Capabilities Index (ECI)151.1—152.0 (best)
ECI rank#45 of 148—#41 of 148 (best)
GPQA DiamondGraduate-level science questions90.8% (best)—89.3%
FrontierMath Tiers 1–3Research-level mathematics57.2% (best)—44.9%
OTIS Mock AIME 2024–2025Competition mathematics96.1% (best)—92.2%
SWE-bench VerifiedFixing real GitHub issues76.7%——
SimpleQA VerifiedShort factual questions34.9% (best)—30.2%
Price per million tokens
Input$0.95 (best)$1.90$1.25
Output$4.00$8.00$2.50 (best)
Cached input$0.16 (best)—$0.20
Blended (3:1)$1.71$3.42$1.56 (best)
Long-context rateSame rateSame rateOver 200K: $2.50 / $5.00
Price sourceOfficial Moonshot AI APIMedian of 11 providersOfficial xAI API
Limits
Context window262,144 tokens262,144 tokens1,000,000 tokens (best)
Max output262,144 tokens (best)262,144 tokens (best)30,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoYes
AudioNoNoNo
VideoYesYesNo
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenOpenProprietary
API model IDkimi-k2.6—grok-4.20-0309-reasoning
API providers46 (best)1111
ReleasedApr 21, 2026Jun 12, 2026Mar 9, 2026
Knowledge cutoffJan 2025Jan 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.

  • Kimi K2.6$17.50
  • Kimi K2.7 Code Highspeed$35.00
  • Grok 4.20 (Reasoning)$17.50
04 — Questions

Which should you choose?

Which is better: Kimi K2.6, Kimi K2.7 Code Highspeed or Grok 4.20 (Reasoning)?

Grok 4.20 (Reasoning) is the better all-round choice, scoring 56/100 against Kimi K2.6 (51) and Kimi K2.7 Code Highspeed (44). It leads on price and 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, Kimi K2.6, Kimi K2.7 Code Highspeed or Grok 4.20 (Reasoning)?

Grok 4.20 (Reasoning) is cheaper at $1.25 input / $2.50 output per million tokens (official xAI API price). Kimi K2.6 costs $0.95 input / $4.00 output per million tokens (official Moonshot AI API price); Kimi K2.7 Code Highspeed costs $1.90 input / $8.00 output per million tokens (median across 11 API providers). At a typical mix of three input tokens to one output token, that is $1.56 per million tokens for Grok 4.20 (Reasoning) versus $1.71 for Kimi K2.6 (1.1× as much) and $3.42 for Kimi K2.7 Code Highspeed (2.2× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Kimi K2.6 has an ECI of 151.1, Kimi K2.7 Code Highspeed has not been scored yet and Grok 4.20 (Reasoning) has an ECI of 152.0.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.7 Code Highspeed and Grok 4.20 (Reasoning) 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 4.20 (Reasoning) has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.6 and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Kimi K2.6 up to 262,144, Kimi K2.7 Code Highspeed up to 262,144, Grok 4.20 (Reasoning) up to 30,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.6 accepts text, images and video; Kimi K2.7 Code Highspeed accepts text, images and video; Grok 4.20 (Reasoning) accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

Kimi K2.6 and Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Grok 4.20 (Reasoning) is proprietary.

Which is newer?

Kimi K2.7 Code Highspeed is the newest, released Jun 12, 2026. Kimi K2.6 came out Apr 21, 2026; Grok 4.20 (Reasoning) came out Mar 9, 2026. Knowledge cutoff: Kimi K2.6 Jan 2025, Kimi K2.7 Code Highspeed 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.