ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Kimi K2.8 Preview vs Qwen3.8 Max Preview vs North Small Translate

Too close to call on our weighted score (Kimi K2.8 Preview 66, Qwen3.8 Max Preview 66, North Small Translate 0). The right pick depends on what you value most.

  1. Moonshot AI

    Kimi K2.8 Preview

    Released Sep 11, 2026

    66/100
    • ECI—
    • Price—
    • Context1.05M
  2. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

    66/100
    • ECI—
    • Price$2.00 / $6.00
    • Context1M
  3. Cohere

    North Small Translate

    Released Sep 9, 2026

    0/100
    • ECI—
    • PriceFree / Free
    • Context16K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Kimi K2.8 Preview 66/100, Qwen3.8 Max Preview 66/100, North Small Translate 0/100), so choose by what matters most for your work: North Small Translate on price and Kimi K2.8 Preview for long inputs. The score weighs inputs & features 60%, context window 40%. 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 priceNorth Small TranslateNorth Small Translate Free · Qwen3.8 Max Preview $3.00 per 1M tokens (3:1 blend) · Kimi K2.8 Preview unpriced
  • Longest contextKimi K2.8 PreviewKimi K2.8 Preview 1,048,576 · Qwen3.8 Max Preview 1,000,000 · North Small Translate 16,000 tokens
  • Widest inputsKimi K2.8 Preview and Qwen3.8 Max PreviewKimi K2.8 Preview: Text, Images, Video · Qwen3.8 Max Preview: Text, Images, Video · North Small Translate: Text
  • Self-hostingNorth Small TranslatePublishes downloadable weights (CC-BY-NC-4.0)
How the score is built
MeasureWeightKimi K2.8 PreviewQwen3.8 Max PreviewNorth Small Translate
Inputs & features60%70700
Context window40%61600
Overall100%66/10066/1000/100

Left out because at least one model lacks the data: capability and price. 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 K2.8 Preview vs Qwen3.8 Max Preview vs North Small Translate specifications side by side
SpecificationKimi K2.8 PreviewMoonshot AIQwen3.8 Max PreviewAlibaba (Qwen)North Small TranslateCohere
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input—$2.00Free (best)
Output—$6.00Free (best)
Cached input———
Blended (3:1)—$3.00Free (best)
Long-context rate—Same rateSame rate
Price source—Median of 6 providersOfficial Cohere API
Limits
Context window1,048,576 tokens (best)1,000,000 tokens16,000 tokens
Max output—131,072 tokens (best)16,000 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsNoNoNo
AudioNoNoNo
VideoYesYesNo
ReasoningYesYesNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsProprietaryProprietaryOpenCC-BY-NC-4.0
API model ID——north-small-translate-09-2026
API providers—6 (best)1
ReleasedSep 11, 2026Jul 19, 2026Sep 9, 2026
Knowledge cutoff———
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 K2.8 Preview—
  • Qwen3.8 Max Preview$32.00
  • North Small TranslateFree
04 — Questions

Which should you choose?

Which is better: Kimi K2.8 Preview, Qwen3.8 Max Preview or North Small Translate?

It is close. Our weighted score puts them within a point (Kimi K2.8 Preview 66/100, Qwen3.8 Max Preview 66/100, North Small Translate 0/100), so choose by what matters most for your work: North Small Translate on price and Kimi K2.8 Preview for long inputs. The score weighs inputs & features 60%, context window 40%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Kimi K2.8 Preview, Qwen3.8 Max Preview or North Small Translate?

North Small Translate is cheaper at Free input / Free output per million tokens (official Cohere API price). Qwen3.8 Max Preview costs $2.00 input / $6.00 output per million tokens (median across 6 API providers). North Small Translate is listed as free. Kimi K2.8 Preview has no published per-token price.

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Kimi K2.8 Preview has not been scored yet, Qwen3.8 Max Preview has not been scored yet and North Small Translate has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.8 Preview, Qwen3.8 Max Preview and North Small Translate yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that North Small Translate does not support tool calling, which most coding agents need.

Which has the bigger context window?

Kimi K2.8 Preview has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.8 Max Preview and 16,000 for North Small Translate. Maximum output per response: Qwen3.8 Max Preview up to 131,072, North Small Translate up to 16,000 tokens.

Which can read images, PDFs, audio or video?

Kimi K2.8 Preview accepts text, images and video; Qwen3.8 Max Preview accepts text, images and video; North Small Translate accepts text. Kimi K2.8 Preview handles the widest range of inputs.

Are any of these open source?

North Small Translate publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Kimi K2.8 Preview and Qwen3.8 Max Preview is proprietary.

Which is newer?

Kimi K2.8 Preview is the newest, released Sep 11, 2026. North Small Translate came out Sep 9, 2026; Qwen3.8 Max Preview came out Jul 19, 2026.

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.