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Comparison · 3 models · Updated Oct 4, 2026

Kimi K2.7 Code Highspeed vs Qwen3.5 Flash vs Qwen3.8 Max Preview

Qwen3.5 Flash comes out ahead, 79 to 47 and 44 on our weighted score, and it is the cheaper option too.

  1. Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

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

    Alibaba (Qwen)

    Qwen3.5 Flash

    Released Feb 23, 2026

    79/100
    • ECI144.0
    • Price$0.10 / $0.40
    • Context1M
  3. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

    47/100
    • ECI—
    • Price$2.00 / $6.00
    • Context1M
01 — Verdict

Qwen3.5 Flash is our pick

Qwen3.5 Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. 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 priceQwen3.5 FlashQwen3.5 Flash $0.175 · Qwen3.8 Max Preview $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
  • Longest contextQwen3.5 Flash and Qwen3.8 Max PreviewQwen3.5 Flash 1,000,000 · Qwen3.8 Max Preview 1,000,000 · Kimi K2.7 Code Highspeed 262,144 tokens
  • Widest inputsSame inputsKimi K2.7 Code Highspeed: Text, Images, Video · Qwen3.5 Flash: Text, Images, Video · Qwen3.8 Max Preview: Text, Images, Video
  • Self-hostingKimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightKimi K2.7 Code HighspeedQwen3.5 FlashQwen3.8 Max Preview
Price50%258627
Inputs & features30%808070
Context window20%376060
Overall100%44/10079/10047/100

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 K2.7 Code Highspeed vs Qwen3.5 Flash vs Qwen3.8 Max Preview specifications side by side
SpecificationKimi K2.7 Code HighspeedMoonshot AIQwen3.5 FlashAlibaba (Qwen)Qwen3.8 Max PreviewAlibaba (Qwen)
Capability
Capabilities Index (ECI)—144.0—
ECI rank—#82 of 148—
GPQA DiamondGraduate-level science questions—82.3%—
FrontierMath Tiers 1–3Research-level mathematics—18.3%—
OTIS Mock AIME 2024–2025Competition mathematics—84.4%—
SimpleQA VerifiedShort factual questions—20.3%—
Price per million tokens
Input$1.90$0.10 (best)$2.00
Output$8.00$0.40 (best)$6.00
Cached input—$0.01—
Blended (3:1)$3.42$0.175 (best)$3.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 11 providersOfficial Alibaba APIMedian of 6 providers
Limits
Context window262,144 tokens1,000,000 tokens (best)1,000,000 tokens (best)
Max output262,144 tokens (best)65,536 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsOpenProprietaryProprietary
API model ID—qwen3.5-flash—
API providers11 (best)86
ReleasedJun 12, 2026Feb 23, 2026Jul 19, 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 K2.7 Code Highspeed$35.00
  • Qwen3.5 Flash$1.80
  • Qwen3.8 Max Preview$32.00
04 — Questions

Which should you choose?

Which is better: Kimi K2.7 Code Highspeed, Qwen3.5 Flash or Qwen3.8 Max Preview?

Qwen3.5 Flash is the better all-round choice, scoring 79/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. 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 K2.7 Code Highspeed, Qwen3.5 Flash or Qwen3.8 Max Preview?

Qwen3.5 Flash is cheaper at $0.10 input / $0.40 output per million tokens (official Alibaba API price). Qwen3.8 Max Preview costs $2.00 input / $6.00 output per million tokens (median across 6 API providers); 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 $0.175 per million tokens for Qwen3.5 Flash versus $3.00 for Qwen3.8 Max Preview (17× as much) and $3.42 for Kimi K2.7 Code Highspeed (20× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Kimi K2.7 Code Highspeed has not been scored yet, Qwen3.5 Flash has an ECI of 144.0 and Qwen3.8 Max Preview has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.7 Code Highspeed, Qwen3.5 Flash and Qwen3.8 Max Preview 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?

Qwen3.5 Flash and Qwen3.8 Max Preview have the largest context windows (1,000,000 and 1,000,000 tokens), against 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Kimi K2.7 Code Highspeed up to 262,144, Qwen3.5 Flash up to 65,536, Qwen3.8 Max Preview up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.7 Code Highspeed accepts text, images and video; Qwen3.5 Flash accepts text, images and video; Qwen3.8 Max Preview accepts text, images and video. They handle the same number of input types.

Are any of these open source?

Kimi K2.7 Code Highspeed publishes its weights and can be self-hosted; Qwen3.5 Flash and Qwen3.8 Max Preview is proprietary.

Which is newer?

Qwen3.8 Max Preview is the newest, released Jul 19, 2026. Kimi K2.7 Code Highspeed came out Jun 12, 2026; Qwen3.5 Flash came out Feb 23, 2026. Knowledge cutoff: 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.