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Comparison · 3 models · Updated Oct 4, 2026

Qwen3.8 2.4T A95B vs Grok 4.6 vs Kimi K2.7 Code Highspeed

Too close to call on our weighted score (Grok 4.6 44, Kimi K2.7 Code Highspeed 44, Qwen3.8 2.4T A95B 34). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen3.8 2.4T A95B

    Released Aug 12, 2026

    34/100
    • ECI—
    • Price$2.00 / $6.00
    • Context262K
  2. xAI

    Grok 4.6

    Released Aug 12, 2026

    44/100
    • ECI156.6
    • Price$2.00 / $6.00
    • Context500K
  3. Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

    44/100
    • ECI—
    • Price$1.90 / $8.00
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Grok 4.6 44/100, Kimi K2.7 Code Highspeed 44/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Qwen3.8 2.4T A95B on price and Grok 4.6 for long inputs. 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 priceQwen3.8 2.4T A95B and Grok 4.6Qwen3.8 2.4T A95B $3.00 · Grok 4.6 $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
  • Longest contextGrok 4.6Grok 4.6 500,000 · Qwen3.8 2.4T A95B 262,144 · Kimi K2.7 Code Highspeed 262,144 tokens
  • Widest inputsKimi K2.7 Code HighspeedQwen3.8 2.4T A95B: Text · Grok 4.6: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video
  • Self-hostingQwen3.8 2.4T A95B and Kimi K2.7 Code HighspeedPublishes downloadable weights (qwen3.8-max)
How the score is built
MeasureWeightQwen3.8 2.4T A95BGrok 4.6Kimi K2.7 Code Highspeed
Price50%272725
Inputs & features30%457080
Context window20%374837
Overall100%34/10044/10044/100

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.

Qwen3.8 2.4T A95B vs Grok 4.6 vs Kimi K2.7 Code Highspeed specifications side by side
SpecificationQwen3.8 2.4T A95BAlibaba (Qwen)Grok 4.6xAIKimi K2.7 Code HighspeedMoonshot AI
Capability
Capabilities Index (ECI)—156.6—
ECI rank—#19 of 148—
GPQA DiamondGraduate-level science questions—94.0%—
FrontierMath Tiers 1–3Research-level mathematics—66.0%—
OTIS Mock AIME 2024–2025Competition mathematics—99.2%—
SimpleQA VerifiedShort factual questions—49.3%—
Price per million tokens
Input$2.00$2.00$1.90 (best)
Output$6.00 (best)$6.00 (best)$8.00
Cached input—$0.50—
Blended (3:1)$3.00 (best)$3.00 (best)$3.42
Long-context rateSame rateOver 200K: $4.00 / $12.00Same rate
Price sourceMedian of 21 providersOfficial xAI APIMedian of 11 providers
Limits
Context window262,144 tokens500,000 tokens (best)262,144 tokens
Max output131,072 tokens500,000 tokens (best)262,144 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningYesYeslow · medium · high · xhighYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsOpenqwen3.8-maxProprietaryOpen
API model ID—grok-4.6—
API providers2129 (best)11
ReleasedAug 12, 2026Aug 12, 2026Jun 12, 2026
Knowledge cutoff—Feb 1, 2026Jan 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.

  • Qwen3.8 2.4T A95B$32.00
  • Grok 4.6$32.00
  • Kimi K2.7 Code Highspeed$35.00
04 — Questions

Which should you choose?

Which is better: Qwen3.8 2.4T A95B, Grok 4.6 or Kimi K2.7 Code Highspeed?

It is close. Our weighted score puts them within a point (Grok 4.6 44/100, Kimi K2.7 Code Highspeed 44/100, Qwen3.8 2.4T A95B 34/100), so choose by what matters most for your work: Qwen3.8 2.4T A95B on price and Grok 4.6 for long inputs. 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, Qwen3.8 2.4T A95B, Grok 4.6 or Kimi K2.7 Code Highspeed?

Qwen3.8 2.4T A95B is cheaper at $2.00 input / $6.00 output per million tokens (median across 21 API providers). Grok 4.6 costs $2.00 input / $6.00 output per million tokens (official xAI API price); 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 $3.00 per million tokens for Qwen3.8 2.4T A95B versus $3.00 for Grok 4.6 (1× as much) and $3.42 for Kimi K2.7 Code Highspeed (1.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3.8 2.4T A95B has not been scored yet, Grok 4.6 has an ECI of 156.6 and Kimi K2.7 Code Highspeed has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3.8 2.4T A95B, Grok 4.6 and Kimi K2.7 Code Highspeed 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?

Grok 4.6 has the largest context window at 500,000 tokens, against 262,144 for Qwen3.8 2.4T A95B and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Qwen3.8 2.4T A95B up to 131,072, Grok 4.6 up to 500,000, Kimi K2.7 Code Highspeed up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 2.4T A95B accepts text; Grok 4.6 accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video. Kimi K2.7 Code Highspeed handles the widest range of inputs.

Are any of these open source?

Qwen3.8 2.4T A95B and Kimi K2.7 Code Highspeed publishes its weights (qwen3.8-max) and can be self-hosted; Grok 4.6 is proprietary.

Which is newer?

Qwen3.8 2.4T A95B is the newest, released Aug 12, 2026. Grok 4.6 came out Aug 12, 2026; Kimi K2.7 Code Highspeed came out Jun 12, 2026. Knowledge cutoff: Grok 4.6 Feb 1, 2026, 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.