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Comparison · 3 models · Updated Oct 4, 2026

Kimi K2.6 vs Muse Spark 1.2 vs Grok 4.20 (Reasoning)

Muse Spark 1.2 comes out ahead, 72 to 68 and 65 on our weighted score, though Grok 4.20 (Reasoning) is 22% cheaper per token.

  1. Moonshot AI

    Kimi K2.6

    Released Apr 21, 2026

    65/100
    • ECI151.1
    • Price$0.95 / $4.00
    • Context262K
  2. Our pick

    Meta

    Muse Spark 1.2

    Released Aug 5, 2026

    72/100
    • ECI155.0
    • Price$1.25 / $4.25
    • Context1.05M
  3. xAI

    Grok 4.20 (Reasoning)

    Released Mar 9, 2026

    68/100
    • ECI152.0
    • Price$1.25 / $2.50
    • Context1M
01 — Verdict

Muse Spark 1.2 is our pick

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against Grok 4.20 (Reasoning) (68) and Kimi K2.6 (65). It leads on capability and inputs & features. Grok 4.20 (Reasoning) wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityMuse Spark 1.2Capabilities Index (ECI): Muse Spark 1.2 155.0 · Grok 4.20 (Reasoning) 152.0 · Kimi K2.6 151.1
  • Lowest priceGrok 4.20 (Reasoning)Grok 4.20 (Reasoning) $1.56 · Kimi K2.6 $1.71 · Muse Spark 1.2 $2.00 per 1M tokens (3:1 blend)
  • Longest contextMuse Spark 1.2Muse Spark 1.2 1,048,576 · Grok 4.20 (Reasoning) 1,000,000 · Kimi K2.6 262,144 tokens
  • Widest inputsMuse Spark 1.2Kimi K2.6: Text, Images, Video · Muse Spark 1.2: Text, Images, PDFs, Audio, Video · Grok 4.20 (Reasoning): Text, Images, PDFs
  • Self-hostingKimi K2.6Publishes downloadable weights
How the score is built
MeasureWeightKimi K2.6Muse Spark 1.2Grok 4.20 (Reasoning)
CapabilityCapabilities Index (ECI)50%798481
Price25%393641
Inputs & features15%8010080
Context window10%376160
Overall100%65/10072/10068/100
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 Muse Spark 1.2 vs Grok 4.20 (Reasoning) specifications side by side
SpecificationKimi K2.6Moonshot AIMuse Spark 1.2MetaGrok 4.20 (Reasoning)xAI
Capability
Capabilities Index (ECI)151.1155.0 (best)152.0
ECI rank#45 of 148#30 of 148 (best)#41 of 148
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%60.3% (best)30.2%
Price per million tokens
Input$0.95 (best)$1.25$1.25
Output$4.00$4.25$2.50 (best)
Cached input$0.16$0.15 (best)$0.20
Blended (3:1)$1.71$2.00$1.56 (best)
Long-context rateSame rateSame rateOver 200K: $2.50 / $5.00
Price sourceOfficial Moonshot AI APIOfficial Meta APIOfficial xAI API
Limits
Context window262,144 tokens1,048,576 tokens (best)1,000,000 tokens
Max output262,144 tokens (best)131,072 tokens30,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoYesYes
AudioNoYesNo
VideoYesYesNo
ReasoningYesYesminimal · low · medium · high · xhighYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenProprietaryProprietary
API model IDkimi-k2.6muse-spark-1.2grok-4.20-0309-reasoning
API providers46 (best)1511
ReleasedApr 21, 2026Aug 5, 2026Mar 9, 2026
Knowledge cutoffJan 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
  • Muse Spark 1.2$21.00
  • Grok 4.20 (Reasoning)$17.50
04 — Questions

Which should you choose?

Which is better: Kimi K2.6, Muse Spark 1.2 or Grok 4.20 (Reasoning)?

Muse Spark 1.2 is the better all-round choice, scoring 72/100 against Grok 4.20 (Reasoning) (68) and Kimi K2.6 (65). It leads on capability and inputs & features. Grok 4.20 (Reasoning) wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K2.6, Muse Spark 1.2 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); Muse Spark 1.2 costs $1.25 input / $4.25 output per million tokens (official Meta API price). 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 $2.00 for Muse Spark 1.2 (1.3× as much).

Which scores higher on benchmarks?

Muse Spark 1.2 scores higher on the Capabilities Index (ECI): Muse Spark 1.2 155.0 (#30 of 148), Grok 4.20 (Reasoning) 152.0 (#41 of 148) and Kimi K2.6 151.1 (#45 of 148). The confidence ranges of the top two overlap (152.8–157.5 vs 149.3–154.4), so treat the gap as small. On individual benchmarks: SimpleQA Verified — Muse Spark 1.2 60.3%, Kimi K2.6 34.9%, Grok 4.20 (Reasoning) 30.2%.

Which is better for coding?

There are no published SWE-bench Verified results for Muse Spark 1.2 and Grok 4.20 (Reasoning) yet, so there is no like-for-like coding score. On overall capability, Muse Spark 1.2 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Muse Spark 1.2 has the largest context window at 1,048,576 tokens, against 1,000,000 for Grok 4.20 (Reasoning) and 262,144 for Kimi K2.6. Maximum output per response: Kimi K2.6 up to 262,144, Muse Spark 1.2 up to 131,072, 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; Muse Spark 1.2 accepts text, images, PDFs, audio and video; Grok 4.20 (Reasoning) accepts text, images and PDFs. Muse Spark 1.2 handles the widest range of inputs.

Are any of these open source?

Kimi K2.6 publishes its weights and can be self-hosted; Muse Spark 1.2 and Grok 4.20 (Reasoning) is proprietary.

Which is newer?

Muse Spark 1.2 is the newest, released Aug 5, 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.

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.