ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Grok 4.7 vs Kimi K3 vs Qwen3.8 Max

Qwen3.8 Max comes out ahead, 65 to 61 and 60 on our weighted score.

  1. xAI

    Grok 4.7

    Released Sep 21, 2026

    61/100
    • ECI—
    • Price$2.00 / $6.00
    • Context500K
  2. Moonshot AI

    Kimi K3

    Released Jul 16, 2026

    60/100
    • ECI157.6
    • Price$3.00 / $15.00
    • Context1.05M
  3. Our pick

    Alibaba (Qwen)

    Qwen3.8 Max

    Released Aug 3, 2026

    65/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context1M
01 — Verdict

Qwen3.8 Max is our pick

Qwen3.8 Max is the better all-round choice, scoring 65/100 against Grok 4.7 (61) and Kimi K3 (60). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.

  • CapabilityKimi K3Shared benchmarks: Kimi K3 78.3% · Qwen3.8 Max 78.2% · Grok 4.7 74.9%
  • Lowest priceGrok 4.7 and Qwen3.8 MaxGrok 4.7 $3.00 · Qwen3.8 Max $3.00 · Kimi K3 $6.00 per 1M tokens (3:1 blend)
  • Longest contextKimi K3Kimi K3 1,048,576 · Qwen3.8 Max 1,000,000 · Grok 4.7 500,000 tokens
  • Widest inputsQwen3.8 MaxGrok 4.7: Text, Images, PDFs · Kimi K3: Text, Images, Video · Qwen3.8 Max: Text, Images, PDFs, Video
  • Self-hostingKimi K3Publishes downloadable weights
How the score is built
MeasureWeightGrok 4.7Kimi K3Qwen3.8 Max
CapabilityShared benchmarks50%757878
Price25%271327
Inputs & features15%808090
Context window10%486160
Overall100%61/10060/10065/100
02 — Side by side

Every spec in one table

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

Grok 4.7 vs Kimi K3 vs Qwen3.8 Max specifications side by side
SpecificationGrok 4.7xAIKimi K3Moonshot AIQwen3.8 MaxAlibaba (Qwen)
Capability
Capabilities Index (ECI)—157.6 (best)156.6
ECI rank—#13 of 148 (best)#20 of 148
GPQA DiamondGraduate-level science questions92.7%93.1% (best)92.7%
FrontierMath Tiers 1–3Research-level mathematics53.0%72.2%74.7% (best)
OTIS Mock AIME 2024–2025Competition mathematics98.1%97.2%99.4% (best)
SimpleQA VerifiedShort factual questions56.0% (best)50.6%45.8%
Price per million tokens
Input$2.00 (best)$3.00$2.00 (best)
Output$6.00 (best)$15.00$6.00 (best)
Cached input$0.50$0.30$0.25 (best)
Blended (3:1)$3.00 (best)$6.00$3.00 (best)
Long-context rateOver 200K: $4.00 / $12.00Same rateSame rate
Price sourceOfficial xAI APIOfficial Moonshot AI APIOfficial Alibaba API
Limits
Context window500,000 tokens1,048,576 tokens (best)1,000,000 tokens
Max output500,000 tokens (best)131,072 tokens131,072 tokens
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsYesNoYes
AudioNoNoNo
VideoNoYesYes
ReasoningYeslow · medium · high · xhighYeslow · high · maxYeslow · medium · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model IDgrok-4.7kimi-k3qwen3.8-max
API providers1768 (best)25
ReleasedSep 21, 2026Jul 16, 2026Aug 3, 2026
Knowledge cutoffMay 2026——
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.

  • Grok 4.7$32.00
  • Kimi K3$60.00
  • Qwen3.8 Max$32.00
04 — Questions

Which should you choose?

Which is better: Grok 4.7, Kimi K3 or Qwen3.8 Max?

Qwen3.8 Max is the better all-round choice, scoring 65/100 against Grok 4.7 (61) and Kimi K3 (60). It leads on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%. Capability uses the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified), because Grok 4.7 has no Capabilities Index score yet.

Which is cheaper, Grok 4.7, Kimi K3 or Qwen3.8 Max?

Grok 4.7 is cheaper at $2.00 input / $6.00 output per million tokens (official xAI API price). Qwen3.8 Max costs $2.00 input / $6.00 output per million tokens (official Alibaba API price); Kimi K3 costs $3.00 input / $15.00 output per million tokens (official Moonshot AI API price). At a typical mix of three input tokens to one output token, that is $3.00 per million tokens for Grok 4.7 versus $3.00 for Qwen3.8 Max (1× as much) and $6.00 for Kimi K3 (2× as much).

Which scores higher on benchmarks?

Not every model here has a Capabilities Index score, so we compare the average of shared benchmarks (GPQA Diamond, FrontierMath Tiers 1–3, OTIS Mock AIME 2024–2025 and SimpleQA Verified): Kimi K3 78.3%, Qwen3.8 Max 78.2% and Grok 4.7 74.9%. On individual benchmarks: GPQA Diamond — Kimi K3 93.1%, Grok 4.7 92.7%, Qwen3.8 Max 92.7%; FrontierMath Tiers 1–3 — Qwen3.8 Max 74.7%, Kimi K3 72.2%, Grok 4.7 53.0%; OTIS Mock AIME 2024–2025 — Qwen3.8 Max 99.4%, Grok 4.7 98.1%, Kimi K3 97.2%; SimpleQA Verified — Grok 4.7 56.0%, Kimi K3 50.6%, Qwen3.8 Max 45.8%.

Which is better for coding?

There are no published SWE-bench Verified results for Grok 4.7, Kimi K3 and Qwen3.8 Max yet, so there is no like-for-like coding score. On overall capability, Kimi K3 leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Kimi K3 has the largest context window at 1,048,576 tokens, against 1,000,000 for Qwen3.8 Max and 500,000 for Grok 4.7. Maximum output per response: Grok 4.7 up to 500,000, Kimi K3 up to 131,072, Qwen3.8 Max up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Grok 4.7 accepts text, images and PDFs; Kimi K3 accepts text, images and video; Qwen3.8 Max accepts text, images, PDFs and video. Qwen3.8 Max handles the widest range of inputs.

Are any of these open source?

Kimi K3 publishes its weights and can be self-hosted; Grok 4.7 and Qwen3.8 Max is proprietary.

Which is newer?

Grok 4.7 is the newest, released Sep 21, 2026. Qwen3.8 Max came out Aug 3, 2026; Kimi K3 came out Jul 16, 2026. Knowledge cutoff: Grok 4.7 May 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.