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Comparison · 3 models · Updated Oct 4, 2026

DeepSeek V4 Flash vs Kimi K2.7 Code Highspeed vs Qwen3.8 Max Preview

DeepSeek V4 Flash comes out ahead, 68 to 47 and 44 on our weighted score, and it is the cheaper option too.

  1. Our pick

    DeepSeek

    DeepSeek V4 Flash

    Released Apr 24, 2026

    68/100
    • ECI146.1
    • Price$0.14 / $0.28
    • Context1M
  2. Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

    44/100
    • ECI—
    • Price$1.90 / $8.00
    • Context262K
  3. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

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

DeepSeek V4 Flash is our pick

DeepSeek V4 Flash is the better all-round choice, scoring 68/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. Kimi K2.7 Code Highspeed wins on inputs & features. 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 priceDeepSeek V4 FlashDeepSeek V4 Flash $0.175 · Qwen3.8 Max Preview $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
  • Longest contextDeepSeek V4 Flash and Qwen3.8 Max PreviewDeepSeek V4 Flash 1,000,000 · Qwen3.8 Max Preview 1,000,000 · Kimi K2.7 Code Highspeed 262,144 tokens
  • Widest inputsKimi K2.7 Code Highspeed and Qwen3.8 Max PreviewDeepSeek V4 Flash: Text · Kimi K2.7 Code Highspeed: Text, Images, Video · Qwen3.8 Max Preview: Text, Images, Video
  • Self-hostingDeepSeek V4 Flash and Kimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightDeepSeek V4 FlashKimi K2.7 Code HighspeedQwen3.8 Max Preview
Price50%862527
Inputs & features30%458070
Context window20%603760
Overall100%68/10044/10047/100

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.

DeepSeek V4 Flash vs Kimi K2.7 Code Highspeed vs Qwen3.8 Max Preview specifications side by side
SpecificationDeepSeek V4 FlashDeepSeekKimi K2.7 Code HighspeedMoonshot AIQwen3.8 Max PreviewAlibaba (Qwen)
Capability
Capabilities Index (ECI)146.1——
ECI rank#71 of 148——
Price per million tokens
Input$0.14 (best)$1.90$2.00
Output$0.28 (best)$8.00$6.00
Cached input———
Blended (3:1)$0.175 (best)$3.42$3.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 42 providersMedian of 11 providersMedian of 6 providers
Limits
Context window1,000,000 tokens (best)262,144 tokens1,000,000 tokens (best)
Max output384,000 tokens (best)262,144 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesNo
Availability
WeightsOpenOpenProprietary
API model ID———
API providers48 (best)116
ReleasedApr 24, 2026Jun 12, 2026Jul 19, 2026
Knowledge cutoffMay 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.

  • DeepSeek V4 Flash$1.96
  • Kimi K2.7 Code Highspeed$35.00
  • Qwen3.8 Max Preview$32.00
04 — Questions

Which should you choose?

Which is better: DeepSeek V4 Flash, Kimi K2.7 Code Highspeed or Qwen3.8 Max Preview?

DeepSeek V4 Flash is the better all-round choice, scoring 68/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. Kimi K2.7 Code Highspeed wins on inputs & features. 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, DeepSeek V4 Flash, Kimi K2.7 Code Highspeed or Qwen3.8 Max Preview?

DeepSeek V4 Flash is cheaper at $0.14 input / $0.28 output per million tokens (median across 42 API providers). 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 DeepSeek V4 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. DeepSeek V4 Flash has an ECI of 146.1, Kimi K2.7 Code Highspeed has not been scored yet and Qwen3.8 Max Preview has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for DeepSeek V4 Flash, Kimi K2.7 Code Highspeed 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?

DeepSeek V4 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: DeepSeek V4 Flash up to 384,000, Kimi K2.7 Code Highspeed up to 262,144, Qwen3.8 Max Preview up to 131,072 tokens.

Which can read images, PDFs, audio or video?

DeepSeek V4 Flash accepts text; Kimi K2.7 Code Highspeed accepts text, images and video; Qwen3.8 Max Preview accepts text, images and video. Kimi K2.7 Code Highspeed handles the widest range of inputs.

Are any of these open source?

DeepSeek V4 Flash and Kimi K2.7 Code Highspeed 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 K2.7 Code Highspeed came out Jun 12, 2026; DeepSeek V4 Flash came out Apr 24, 2026. Knowledge cutoff: DeepSeek V4 Flash May 2025, 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.