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Comparison · 2 models · Updated Oct 4, 2026

Qwen3 Max vs Kimi K2.7 Code

Kimi K2.7 Code comes out ahead, 64 to 50 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 Max

    Released Sep 23, 2025

    50/100
    • ECI142.4
    • Price$1.20 / $6.00
    • Context262K
    Full specs Remove Qwen3 Max
  2. Our pick

    Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    64/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
    Full specs Remove Kimi K2.7 Code

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Kimi K2.7 Code is our pick

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Qwen3 Max (50). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityKimi K2.7 CodeCapabilities Index (ECI): Kimi K2.7 Code 150.0 · Qwen3 Max 142.4
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · Qwen3 Max $2.40 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen3 Max 262,144 · Kimi K2.7 Code 262,144 tokens
  • Widest inputsKimi K2.7 CodeQwen3 Max: Text · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingKimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightQwen3 MaxKimi K2.7 Code
CapabilityCapabilities Index (ECI)50%6878
Price25%3239
Inputs & features15%2580
Context window10%3737
Overall100%50/10064/100
02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3 Max vs Kimi K2.7 Code specifications side by side
SpecificationQwen3 MaxAlibaba (Qwen)Kimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)142.4150.0 (best)
ECI rank#91 of 148#49 of 148 (best)
GPQA DiamondGraduate-level science questions72.6%87.9% (best)
FrontierMath Tiers 1–3Research-level mathematics19.0%54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics73.3%95.6% (best)
SimpleQA VerifiedShort factual questions48.8% (best)36.5%
Price per million tokens
Input$1.20$0.95 (best)
Output$6.00$4.00 (best)
Cached input—$0.19
Blended (3:1)$2.40$1.71 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Moonshot AI API
Limits
Context window262,144 tokens262,144 tokens
Max output65,536 tokens262,144 tokens (best)
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoNo
AudioNoNo
VideoNoYes
ReasoningNoYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsProprietaryOpen
API model IDqwen3-maxkimi-k2.7-code
API providers1651 (best)
ReleasedSep 23, 2025Jun 12, 2026
Knowledge cutoffApr 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.

  • Qwen3 Max$24.00
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Qwen3 Max or Kimi K2.7 Code?

Kimi K2.7 Code is the better all-round choice, scoring 64/100 against Qwen3 Max (50). It leads on capability, price and inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen3 Max or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). Qwen3 Max costs $1.20 input / $6.00 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.7 Code versus $2.40 for Qwen3 Max (1.4× as much).

Which scores higher on benchmarks?

Kimi K2.7 Code scores higher on the Capabilities Index (ECI): Kimi K2.7 Code 150.0 (#49 of 148) and Qwen3 Max 142.4 (#91 of 148). Their confidence ranges do not overlap (148.1–151.8 vs 140.0–144.6), so the gap is a real one. On individual benchmarks: GPQA Diamond — Kimi K2.7 Code 87.9%, Qwen3 Max 72.6%; FrontierMath Tiers 1–3 — Kimi K2.7 Code 54.0%, Qwen3 Max 19.0%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, Qwen3 Max 73.3%; SimpleQA Verified — Qwen3 Max 48.8%, Kimi K2.7 Code 36.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Max and Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Kimi K2.7 Code 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?

Qwen3 Max and Kimi K2.7 Code share the same 262,144-token context window. Maximum output per response: Qwen3 Max up to 65,536, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Max accepts text; Kimi K2.7 Code accepts text, images and video. Kimi K2.7 Code handles the widest range of inputs.

Are any of these open source?

Kimi K2.7 Code publishes its weights and can be self-hosted; Qwen3 Max is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. Qwen3 Max came out Sep 23, 2025. Knowledge cutoff: Qwen3 Max Apr 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.

05 — Keep comparing

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