ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Qwen3.8 Max Preview vs Gemma 4 31B IT vs Kimi K2.7 Code Highspeed

Gemma 4 31B IT comes out ahead, 70 to 47 and 44 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3.8 Max Preview

    Released Jul 19, 2026

    47/100
    • ECI—
    • Price$2.00 / $6.00
    • Context1M
  2. Our pick

    Google

    Gemma 4 31B IT

    Released Apr 2, 2026

    70/100
    • ECI142.8
    • Price$0.14 / $0.40
    • Context262K
  3. Moonshot AI

    Kimi K2.7 Code Highspeed

    Released Jun 12, 2026

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

Gemma 4 31B IT is our pick

Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. Qwen3.8 Max Preview wins on context window. 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 priceGemma 4 31B ITGemma 4 31B IT $0.205 · Qwen3.8 Max Preview $3.00 · Kimi K2.7 Code Highspeed $3.42 per 1M tokens (3:1 blend)
  • Longest contextQwen3.8 Max PreviewQwen3.8 Max Preview 1,000,000 · Gemma 4 31B IT 262,144 · Kimi K2.7 Code Highspeed 262,144 tokens
  • Widest inputsQwen3.8 Max Preview and Kimi K2.7 Code HighspeedQwen3.8 Max Preview: Text, Images, Video · Gemma 4 31B IT: Text, Images · Kimi K2.7 Code Highspeed: Text, Images, Video
  • Self-hostingGemma 4 31B IT and Kimi K2.7 Code HighspeedPublishes downloadable weights
How the score is built
MeasureWeightQwen3.8 Max PreviewGemma 4 31B ITKimi K2.7 Code Highspeed
Price50%278325
Inputs & features30%707080
Context window20%603737
Overall100%47/10070/10044/100

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 Max Preview vs Gemma 4 31B IT vs Kimi K2.7 Code Highspeed specifications side by side
SpecificationQwen3.8 Max PreviewAlibaba (Qwen)Gemma 4 31B ITGoogleKimi K2.7 Code HighspeedMoonshot AI
Capability
Capabilities Index (ECI)—142.8—
ECI rank—#86 of 148—
GPQA DiamondGraduate-level science questions—75.8%—
OTIS Mock AIME 2024–2025Competition mathematics—73.3%—
SimpleQA VerifiedShort factual questions—10.4%—
Price per million tokens
Input$2.00$0.14 (best)$1.90
Output$6.00$0.40 (best)$8.00
Cached input———
Blended (3:1)$3.00$0.205 (best)$3.42
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 6 providersMedian of 30 providersMedian of 11 providers
Limits
Context window1,000,000 tokens (best)262,144 tokens262,144 tokens
Max output131,072 tokens32,768 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesYesYes
PDFsNoNoNo
AudioNoNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputNoYesYes
Availability
WeightsProprietaryOpenOpen
API model ID—gemma-4-31b-it—
API providers638 (best)11
ReleasedJul 19, 2026Apr 2, 2026Jun 12, 2026
Knowledge cutoff——Jan 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 Max Preview$32.00
  • Gemma 4 31B IT$2.20
  • Kimi K2.7 Code Highspeed$35.00
04 — Questions

Which should you choose?

Which is better: Qwen3.8 Max Preview, Gemma 4 31B IT or Kimi K2.7 Code Highspeed?

Gemma 4 31B IT is the better all-round choice, scoring 70/100 against Qwen3.8 Max Preview (47) and Kimi K2.7 Code Highspeed (44). It leads on price. Qwen3.8 Max Preview wins on context window. 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, Qwen3.8 Max Preview, Gemma 4 31B IT or Kimi K2.7 Code Highspeed?

Gemma 4 31B IT is cheaper at $0.14 input / $0.40 output per million tokens (median across 30 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 $0.205 per million tokens for Gemma 4 31B IT versus $3.00 for Qwen3.8 Max Preview (15× as much) and $3.42 for Kimi K2.7 Code Highspeed (17× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3.8 Max Preview has not been scored yet, Gemma 4 31B IT has an ECI of 142.8 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 Max Preview, Gemma 4 31B IT 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?

Qwen3.8 Max Preview has the largest context window at 1,000,000 tokens, against 262,144 for Gemma 4 31B IT and 262,144 for Kimi K2.7 Code Highspeed. Maximum output per response: Qwen3.8 Max Preview up to 131,072, Gemma 4 31B IT up to 32,768, Kimi K2.7 Code Highspeed up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Qwen3.8 Max Preview accepts text, images and video; Gemma 4 31B IT accepts text and images; Kimi K2.7 Code Highspeed accepts text, images and video. Qwen3.8 Max Preview handles the widest range of inputs.

Are any of these open source?

Gemma 4 31B IT 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; Gemma 4 31B IT came out Apr 2, 2026. Knowledge cutoff: 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.