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Comparison · 2 models · Updated Oct 4, 2026

Qwen3.8 Max Preview vs Kimi K2.6

Kimi K2.6 comes out ahead, 51 to 47 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

    47/100
    • ECI—
    • Price$2.00 / $6.00
    • Context1M
  2. Our pick

    Moonshot AI

    Kimi K2.6

    Released Apr 21, 2026

    51/100
    • ECI151.1
    • Price$0.95 / $4.00
    • Context262K
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    Make it a three-way comparison.

01 — Verdict

Kimi K2.6 is our pick

Kimi K2.6 is the better all-round choice, scoring 51/100 against Qwen3.8 Max Preview (47). It leads on price and inputs & features. Qwen3.8 Max Preview 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 priceKimi K2.6Kimi K2.6 $1.71 · Qwen3.8 Max Preview $3.00 per 1M tokens (3:1 blend)
  • Longest contextQwen3.8 Max PreviewQwen3.8 Max Preview 1,000,000 · Kimi K2.6 262,144 tokens
  • Widest inputsSame inputsQwen3.8 Max Preview: Text, Images, Video · Kimi K2.6: Text, Images, Video
  • Self-hostingKimi K2.6Publishes downloadable weights
How the score is built
MeasureWeightQwen3.8 Max PreviewKimi K2.6
Price50%2739
Inputs & features30%7080
Context window20%6037
Overall100%47/10051/100

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.

Qwen3.8 Max Preview vs Kimi K2.6 specifications side by side
SpecificationQwen3.8 Max PreviewAlibaba (Qwen)Kimi K2.6Moonshot AI
Capability
Capabilities Index (ECI)—151.1
ECI rank—#45 of 148
GPQA DiamondGraduate-level science questions—90.8%
FrontierMath Tiers 1–3Research-level mathematics—57.2%
OTIS Mock AIME 2024–2025Competition mathematics—96.1%
SWE-bench VerifiedFixing real GitHub issues—76.7%
SimpleQA VerifiedShort factual questions—34.9%
Price per million tokens
Input$2.00$0.95 (best)
Output$6.00$4.00 (best)
Cached input—$0.16
Blended (3:1)$3.00$1.71 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 6 providersOfficial Moonshot AI API
Limits
Context window1,000,000 tokens (best)262,144 tokens
Max output131,072 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesYesYes
PDFsNoNo
AudioNoNo
VideoYesYes
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryOpen
API model ID—kimi-k2.6
API providers646 (best)
ReleasedJul 19, 2026Apr 21, 2026
Knowledge cutoff—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.

  • Qwen3.8 Max Preview$32.00
  • Kimi K2.6$17.50
04 — Questions

Which should you choose?

Which is better: Qwen3.8 Max Preview or Kimi K2.6?

Kimi K2.6 is the better all-round choice, scoring 51/100 against Qwen3.8 Max Preview (47). It leads on price and inputs & features. Qwen3.8 Max Preview 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, Qwen3.8 Max Preview or Kimi K2.6?

Kimi K2.6 is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Qwen3.8 Max Preview costs $2.00 input / $6.00 output per million tokens (median across 6 API providers). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.6 versus $3.00 for Qwen3.8 Max Preview (1.8× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3.8 Max Preview has not been scored yet and Kimi K2.6 has an ECI of 151.1.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 Max Preview yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen3.8 Max Preview has the largest context window at 1,000,000 tokens, against 262,144 for Kimi K2.6. Maximum output per response: Qwen3.8 Max Preview up to 131,072, Kimi K2.6 up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 Max Preview accepts text, images and video; Kimi K2.6 accepts text, images and video. 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; Qwen3.8 Max Preview is proprietary.

Which is newer?

Qwen3.8 Max Preview is the newest, released Jul 19, 2026. Kimi K2.6 came out Apr 21, 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.