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Comparison · 2 models · Updated Oct 4, 2026

Kimi K2.6 vs Claude Sonnet 3.5 v2

Kimi K2.6 comes out ahead, 65 to 44 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Moonshot AI

    Kimi K2.6

    Released Apr 21, 2026

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

    Claude Sonnet 3.5 v2

    Released Oct 22, 2024

    44/100
    • ECI133.5
    • Price$3.00 / $15.00
    • Context200K
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01 — Verdict

Kimi K2.6 is our pick

Kimi K2.6 is the better all-round choice, scoring 65/100 against Claude Sonnet 3.5 v2 (44). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.6Capabilities Index (ECI): Kimi K2.6 151.1 · Claude Sonnet 3.5 v2 133.5
  • Lowest priceKimi K2.6Kimi K2.6 $1.71 · Claude Sonnet 3.5 v2 $6.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K2.6Kimi K2.6 262,144 · Claude Sonnet 3.5 v2 200,000 tokens
  • Widest inputsSame inputsKimi K2.6: Text, Images, Video · Claude Sonnet 3.5 v2: Text, Images, PDFs
  • Self-hostingKimi K2.6Publishes downloadable weights
How the score is built
MeasureWeightKimi K2.6Claude Sonnet 3.5 v2
CapabilityCapabilities Index (ECI)50%7957
Price25%3913
Inputs & features15%8060
Context window10%3732
Overall100%65/10044/100
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 Claude Sonnet 3.5 v2 specifications side by side
SpecificationKimi K2.6Moonshot AIClaude Sonnet 3.5 v2Anthropic
Capability
Capabilities Index (ECI)151.1 (best)133.5
ECI rank#45 of 148 (best)#119 of 148
GPQA DiamondGraduate-level science questions90.8% (best)55.3%
FrontierMath Tiers 1–3Research-level mathematics57.2%—
OTIS Mock AIME 2024–2025Competition mathematics96.1% (best)8.5%
SWE-bench VerifiedFixing real GitHub issues76.7%—
SimpleQA VerifiedShort factual questions34.9%—
Price per million tokens
Input$0.95 (best)$3.00
Output$4.00 (best)$15.00
Cached input$0.16—
Blended (3:1)$1.71 (best)$6.00
Long-context rateSame rateSame rate
Price sourceOfficial Moonshot AI APIMedian of 1 providers
Limits
Context window262,144 tokens (best)200,000 tokens
Max output262,144 tokens (best)8,192 tokens
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoYes
AudioNoNo
VideoYesNo
ReasoningYesNo
Tool callingYesYes
Structured outputYesNo
Availability
WeightsOpenProprietary
API model IDkimi-k2.6—
API providers46 (best)1
ReleasedApr 21, 2026Oct 22, 2024
Knowledge cutoffJan 2025Apr 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.

  • Kimi K2.6$17.50
  • Claude Sonnet 3.5 v2$60.00
04 — Questions

Which should you choose?

Which is better: Kimi K2.6 or Claude Sonnet 3.5 v2?

Kimi K2.6 is the better all-round choice, scoring 65/100 against Claude Sonnet 3.5 v2 (44). It leads on capability, price, inputs & features and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Kimi K2.6 or Claude Sonnet 3.5 v2?

Kimi K2.6 is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Claude Sonnet 3.5 v2 costs $3.00 input / $15.00 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.6 versus $6.00 for Claude Sonnet 3.5 v2 (3.5× as much).

Which scores higher on benchmarks?

Kimi K2.6 scores higher on the Capabilities Index (ECI): Kimi K2.6 151.1 (#45 of 148) and Claude Sonnet 3.5 v2 133.5 (#119 of 148). Their confidence ranges do not overlap (149.1–152.8 vs 129.2–137.5), so the gap is a real one. On individual benchmarks: GPQA Diamond — Kimi K2.6 90.8%, Claude Sonnet 3.5 v2 55.3%; OTIS Mock AIME 2024–2025 — Kimi K2.6 96.1%, Claude Sonnet 3.5 v2 8.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Claude Sonnet 3.5 v2 yet, so there is no like-for-like coding score. On overall capability, Kimi K2.6 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Kimi K2.6 has the largest context window at 262,144 tokens, against 200,000 for Claude Sonnet 3.5 v2. Maximum output per response: Kimi K2.6 up to 262,144, Claude Sonnet 3.5 v2 up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.6 accepts text, images and video; Claude Sonnet 3.5 v2 accepts text, images and PDFs. They handle the same number of input types.

Are any of these open source?

Kimi K2.6 publishes its weights and can be self-hosted; Claude Sonnet 3.5 v2 is proprietary.

Which is newer?

Kimi K2.6 is the newest, released Apr 21, 2026. Claude Sonnet 3.5 v2 came out Oct 22, 2024. Knowledge cutoff: Kimi K2.6 Jan 2025, Claude Sonnet 3.5 v2 Apr 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 Oct 4, 2026.