ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 3 Pro Preview vs GLM-5.1 vs Kimi K2.7 Code

Too close to call on our weighted score (Gemini 3 Pro Preview 67, Kimi K2.7 Code 64, GLM-5.1 57). The right pick depends on what you value most.

  1. Google

    Gemini 3 Pro Preview

    Released Nov 18, 2025

    67/100
    • ECI153.0
    • Price$2.00 / $12.00
    • Context1.05M
  2. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
  3. Moonshot AI

    Kimi K2.7 Code

    Released Jun 12, 2026

    64/100
    • ECI150.0
    • Price$0.95 / $4.00
    • Context262K
01 — Verdict

Too close to call

It is close. Our weighted score puts them within 2 points (Gemini 3 Pro Preview 67/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: Gemini 3 Pro Preview for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGemini 3 Pro PreviewCapabilities Index (ECI): Gemini 3 Pro Preview 153.0 · Kimi K2.7 Code 150.0 · GLM-5.1 149.9
  • Lowest priceKimi K2.7 CodeKimi K2.7 Code $1.71 · GLM-5.1 $2.15 · Gemini 3 Pro Preview $4.50 per 1M tokens (3:1 blend)
  • Longest contextGemini 3 Pro PreviewGemini 3 Pro Preview 1,048,576 · Kimi K2.7 Code 262,144 · GLM-5.1 200,000 tokens
  • Widest inputsGemini 3 Pro PreviewGemini 3 Pro Preview: Text, Images, PDFs, Audio, Video · GLM-5.1: Text · Kimi K2.7 Code: Text, Images, Video
  • Self-hostingGLM-5.1 and Kimi K2.7 CodePublishes downloadable weights
How the score is built
MeasureWeightGemini 3 Pro PreviewGLM-5.1Kimi K2.7 Code
CapabilityCapabilities Index (ECI)50%827878
Price25%193439
Inputs & features15%1004580
Context window10%613237
Overall100%67/10057/10064/100
02 — Side by side

Every spec in one table

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

Gemini 3 Pro Preview vs GLM-5.1 vs Kimi K2.7 Code specifications side by side
SpecificationGemini 3 Pro PreviewGoogleGLM-5.1Z.ai (Zhipu)Kimi K2.7 CodeMoonshot AI
Capability
Capabilities Index (ECI)153.0 (best)149.9150.0
ECI rank#39 of 148 (best)#51 of 148#49 of 148
GPQA DiamondGraduate-level science questions92.6% (best)89.9%87.9%
FrontierMath Tiers 1–3Research-level mathematics—36.8%54.0% (best)
OTIS Mock AIME 2024–2025Competition mathematics91.4%93.3%95.6% (best)
SWE-bench VerifiedFixing real GitHub issues72.9%74.2% (best)—
SimpleQA VerifiedShort factual questions—34.0%36.5% (best)
Price per million tokens
Input$2.00$1.40$0.95 (best)
Output$12.00$4.40$4.00 (best)
Cached input—$0.26$0.19 (best)
Blended (3:1)$4.50$2.15$1.71 (best)
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Z.AI APIOfficial Moonshot AI API
Limits
Context window1,048,576 tokens (best)200,000 tokens262,144 tokens
Max output65,536 tokens131,072 tokens262,144 tokens (best)
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioYesNoNo
VideoYesNoYes
ReasoningYesYesYes
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenOpen
API model ID—glm-5.1kimi-k2.7-code
API providers34051 (best)
ReleasedNov 18, 2025Apr 7, 2026Jun 12, 2026
Knowledge cutoffJan 2025—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.

  • Gemini 3 Pro Preview$44.00
  • GLM-5.1$22.80
  • Kimi K2.7 Code$17.50
04 — Questions

Which should you choose?

Which is better: Gemini 3 Pro Preview, GLM-5.1 or Kimi K2.7 Code?

It is close. Our weighted score puts them within 2 points (Gemini 3 Pro Preview 67/100, Kimi K2.7 Code 64/100, GLM-5.1 57/100), so choose by what matters most for your work: Gemini 3 Pro Preview for raw capability and Kimi K2.7 Code on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Gemini 3 Pro Preview, GLM-5.1 or Kimi K2.7 Code?

Kimi K2.7 Code is cheaper at $0.95 input / $4.00 output per million tokens (official Moonshot AI API price). GLM-5.1 costs $1.40 input / $4.40 output per million tokens (official Z.AI API price); Gemini 3 Pro Preview costs $2.00 input / $12.00 output per million tokens (median across 2 API providers). At a typical mix of three input tokens to one output token, that is $1.71 per million tokens for Kimi K2.7 Code versus $2.15 for GLM-5.1 (1.3× as much) and $4.50 for Gemini 3 Pro Preview (2.6× as much).

Which scores higher on benchmarks?

Gemini 3 Pro Preview scores higher on the Capabilities Index (ECI): Gemini 3 Pro Preview 153.0 (#39 of 148), Kimi K2.7 Code 150.0 (#49 of 148) and GLM-5.1 149.9 (#51 of 148). The confidence ranges of the top two overlap (150.6–155.2 vs 148.1–151.8), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3 Pro Preview 92.6%, GLM-5.1 89.9%, Kimi K2.7 Code 87.9%; OTIS Mock AIME 2024–2025 — Kimi K2.7 Code 95.6%, GLM-5.1 93.3%, Gemini 3 Pro Preview 91.4%.

Which is better for coding?

There are no published SWE-bench Verified results for Kimi K2.7 Code yet, so there is no like-for-like coding score. On overall capability, Gemini 3 Pro Preview 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?

Gemini 3 Pro Preview has the largest context window at 1,048,576 tokens, against 262,144 for Kimi K2.7 Code and 200,000 for GLM-5.1. Maximum output per response: Gemini 3 Pro Preview up to 65,536, GLM-5.1 up to 131,072, Kimi K2.7 Code up to 262,144 tokens.

Which can read images, PDFs, audio or video?

Gemini 3 Pro Preview accepts text, images, PDFs, audio and video; GLM-5.1 accepts text; Kimi K2.7 Code accepts text, images and video. Gemini 3 Pro Preview handles the widest range of inputs.

Are any of these open source?

GLM-5.1 and Kimi K2.7 Code publishes its weights and can be self-hosted; Gemini 3 Pro Preview is proprietary.

Which is newer?

Kimi K2.7 Code is the newest, released Jun 12, 2026. GLM-5.1 came out Apr 7, 2026; Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: Gemini 3 Pro Preview Jan 2025, Kimi K2.7 Code 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.