ZMIME
Comparison · 3 models · Updated Nov 2, 2026

Ember-1 vs Kimi K3.1 Pro vs Qwen 3.8 Max Prime

Kimi K3.1 Pro comes out ahead, 46 to 39 and 36 on our weighted score, and it is the cheaper option too.

  1. Fireworks AI

    Ember-1

    Released Sep 22, 2026New

    36/100
    • ECI—
    • Price$3.00 / $15.00
    • Context1.05M
  2. Our pick

    Moonshot AI

    Kimi K3.1 Pro

    Released Oct 23, 2026New

    46/100
    • ECI—
    • Price$2.00 / $10.00
    • Context1.05M
  3. Alibaba (Qwen)

    Qwen 3.8 Max Prime

    Released Sep 23, 2026New

    39/100
    • ECI—
    • Price$4.00 / $12.00
    • Context1M
01 — Verdict

Kimi K3.1 Pro is our pick

Kimi K3.1 Pro is the better all-round choice, scoring 46/100 against Qwen 3.8 Max Prime (39) and Ember-1 (36). It leads on price and 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 priceKimi K3.1 ProKimi K3.1 Pro $4.00 · Ember-1 $6.00 · Qwen 3.8 Max Prime $6.00 per 1M tokens (3:1 blend)
  • Longest contextEmber-1 and Kimi K3.1 ProEmber-1 1,048,576 · Kimi K3.1 Pro 1,048,576 · Qwen 3.8 Max Prime 1,000,000 tokens
  • Widest inputsKimi K3.1 Pro and Qwen 3.8 Max PrimeEmber-1: Text, Images · Kimi K3.1 Pro: Text, Images, Video · Qwen 3.8 Max Prime: Text, Images, Video
  • Self-hostingNo open weightsAll three are available only through APIs
How the score is built
MeasureWeightEmber-1Kimi K3.1 ProQwen 3.8 Max Prime
Price50%122012
Inputs & features30%608070
Context window20%616160
Overall100%36/10046/10039/100

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.

Ember-1 vs Kimi K3.1 Pro vs Qwen 3.8 Max Prime specifications side by side
SpecificationEmber-1Fireworks AIKimi K3.1 ProMoonshot AIQwen 3.8 Max PrimeAlibaba (Qwen)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$3.00$2.00 (best)$4.00
Output$15.00$10.00 (best)$12.00
Cached input—$0.20—
Blended (3:1)$6.00$4.00 (best)$6.00
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 7 providersOfficial Moonshot AI APIMedian of 5 providers
Limits
Context window1,048,576 tokens (best)1,048,576 tokens (best)1,000,000 tokens
Max output131,072 tokens131,072 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoYesYes
ReasoningYesYeslow · high · maxYes
Tool callingYesYesYes
Structured outputNoYesNo
Availability
WeightsProprietaryProprietaryProprietary
API model ID—kimi-k3.1-pro—
API providers717 (best)5
ReleasedSep 22, 2026Oct 23, 2026Sep 23, 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.

  • Ember-1$60.00
  • Kimi K3.1 Pro$40.00
  • Qwen 3.8 Max Prime$64.00
04 — Questions

Which should you choose?

Which is better: Ember-1, Kimi K3.1 Pro or Qwen 3.8 Max Prime?

Kimi K3.1 Pro is the better all-round choice, scoring 46/100 against Qwen 3.8 Max Prime (39) and Ember-1 (36). It leads on price and 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, Ember-1, Kimi K3.1 Pro or Qwen 3.8 Max Prime?

Kimi K3.1 Pro is cheaper at $2.00 input / $10.00 output per million tokens (official Moonshot AI API price). Ember-1 costs $3.00 input / $15.00 output per million tokens (median across 7 API providers); Qwen 3.8 Max Prime costs $4.00 input / $12.00 output per million tokens (median across 5 API providers). At a typical mix of three input tokens to one output token, that is $4.00 per million tokens for Kimi K3.1 Pro versus $6.00 for Ember-1 (1.5× as much) and $6.00 for Qwen 3.8 Max Prime (1.5× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Ember-1 has not been scored yet, Kimi K3.1 Pro has not been scored yet and Qwen 3.8 Max Prime has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Ember-1, Kimi K3.1 Pro and Qwen 3.8 Max Prime 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?

Ember-1 and Kimi K3.1 Pro have the largest context windows (1,048,576 and 1,048,576 tokens), against 1,000,000 for Qwen 3.8 Max Prime. Maximum output per response: Ember-1 up to 131,072, Kimi K3.1 Pro up to 131,072, Qwen 3.8 Max Prime up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Ember-1 accepts text and images; Kimi K3.1 Pro accepts text, images and video; Qwen 3.8 Max Prime accepts text, images and video. Kimi K3.1 Pro handles the widest range of inputs.

Are any of these open source?

No. Ember-1, Kimi K3.1 Pro and Qwen 3.8 Max Prime are proprietary and only available through APIs and apps.

Which is newer?

Kimi K3.1 Pro is the newest, released Oct 23, 2026. Qwen 3.8 Max Prime came out Sep 23, 2026; Ember-1 came out Sep 22, 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 Nov 2, 2026.