ZMIME
Comparison · 3 models · Updated Oct 4, 2026

Gemini 3 Pro Preview vs GLM-5.1 vs GPT-5.2

Gemini 3 Pro Preview comes out ahead, 67 to 61 and 57 on our weighted score, though GLM-5.1 is 2.1× cheaper per token.

  1. Our pick

    Google

    Gemini 3 Pro Preview

    Released Nov 18, 2025

    67/100
    • ECI153.0
    • Price$2.00 / $12.00
    • Context1.05M
    Full specs Remove Gemini 3 Pro Preview

  2. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
    Full specs Remove GLM-5.1

  3. OpenAI

    GPT-5.2

    Released Dec 11, 2025

    61/100
    • ECI153.5
    • Price$1.75 / $14.00
    • Context400K
    Full specs Remove GPT-5.2
01 — Verdict

Gemini 3 Pro Preview is our pick

Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and GLM-5.1 (57). It leads on inputs & features and context window. GLM-5.1 wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGPT-5.2Capabilities Index (ECI): GPT-5.2 153.5 · Gemini 3 Pro Preview 153.0 · GLM-5.1 149.9
  • Lowest priceGLM-5.1GLM-5.1 $2.15 · Gemini 3 Pro Preview $4.50 · GPT-5.2 $4.81 per 1M tokens (3:1 blend)
  • Longest contextGemini 3 Pro PreviewGemini 3 Pro Preview 1,048,576 · GPT-5.2 400,000 · GLM-5.1 200,000 tokens
  • Widest inputsGemini 3 Pro PreviewGemini 3 Pro Preview: Text, Images, PDFs, Audio, Video · GLM-5.1: Text · GPT-5.2: Text, Images
  • Self-hostingGLM-5.1Publishes downloadable weights
How the score is built
MeasureWeightGemini 3 Pro PreviewGLM-5.1GPT-5.2
CapabilityCapabilities Index (ECI)50%827883
Price25%193418
Inputs & features15%1004570
Context window10%613244
Overall100%67/10057/10061/100
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 GPT-5.2 specifications side by side
SpecificationGemini 3 Pro PreviewGoogleGLM-5.1Z.ai (Zhipu)GPT-5.2OpenAI
Capability
Capabilities Index (ECI)153.0149.9153.5 (best)
ECI rank#39 of 148#51 of 148#38 of 148 (best)
GPQA DiamondGraduate-level science questions92.6% (best)89.9%91.4%
FrontierMath Tiers 1–3Research-level mathematics—36.8%67.4% (best)
OTIS Mock AIME 2024–2025Competition mathematics91.4%93.3%96.1% (best)
SWE-bench VerifiedFixing real GitHub issues72.9%74.2% (best)73.8%
SimpleQA VerifiedShort factual questions—34.0%37.1% (best)
Price per million tokens
Input$2.00$1.40 (best)$1.75
Output$12.00$4.40 (best)$14.00
Cached input—$0.26$0.175 (best)
Blended (3:1)$4.50$2.15 (best)$4.81
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 2 providersOfficial Z.AI APIOfficial OpenAI API
Limits
Context window1,048,576 tokens (best)200,000 tokens400,000 tokens
Max output65,536 tokens131,072 tokens (best)128,000 tokens
Inputs and features
TextYesYesYes
ImagesYesNoYes
PDFsYesNoNo
AudioYesNoNo
VideoYesNoNo
ReasoningYesYesYeslow · medium · high · xhigh
Tool callingYesYesYes
Structured outputYesYesYes
Availability
WeightsProprietaryOpenProprietary
API model ID—glm-5.1gpt-5.2
API providers340 (best)21
ReleasedNov 18, 2025Apr 7, 2026Dec 11, 2025
Knowledge cutoffJan 2025—Aug 31, 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
  • GPT-5.2$45.50
04 — Questions

Which should you choose?

Which is better: Gemini 3 Pro Preview, GLM-5.1 or GPT-5.2?

Gemini 3 Pro Preview is the better all-round choice, scoring 67/100 against GPT-5.2 (61) and GLM-5.1 (57). It leads on inputs & features and context window. GLM-5.1 wins 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 GPT-5.2?

GLM-5.1 is cheaper at $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); GPT-5.2 costs $1.75 input / $14.00 output per million tokens (official OpenAI API price). At a typical mix of three input tokens to one output token, that is $2.15 per million tokens for GLM-5.1 versus $4.50 for Gemini 3 Pro Preview (2.1× as much) and $4.81 for GPT-5.2 (2.2× as much).

Which scores higher on benchmarks?

GPT-5.2 scores higher on the Capabilities Index (ECI): GPT-5.2 153.5 (#38 of 148), Gemini 3 Pro Preview 153.0 (#39 of 148) and GLM-5.1 149.9 (#51 of 148). The confidence ranges of the top two overlap (151.7–155.4 vs 150.6–155.2), so treat the gap as small. On individual benchmarks: GPQA Diamond — Gemini 3 Pro Preview 92.6%, GPT-5.2 91.4%, GLM-5.1 89.9%; OTIS Mock AIME 2024–2025 — GPT-5.2 96.1%, GLM-5.1 93.3%, Gemini 3 Pro Preview 91.4%; SWE-bench Verified — GLM-5.1 74.2%, GPT-5.2 73.8%, Gemini 3 Pro Preview 72.9%.

Which is better for coding?

GLM-5.1 resolves more real GitHub issues on SWE-bench Verified: GLM-5.1 74.2%, GPT-5.2 73.8% and Gemini 3 Pro Preview 72.9%. 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 400,000 for GPT-5.2 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, GPT-5.2 up to 128,000 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; GPT-5.2 accepts text and images. Gemini 3 Pro Preview handles the widest range of inputs.

Are any of these open source?

GLM-5.1 publishes its weights and can be self-hosted; Gemini 3 Pro Preview and GPT-5.2 is proprietary.

Which is newer?

GLM-5.1 is the newest, released Apr 7, 2026. GPT-5.2 came out Dec 11, 2025; Gemini 3 Pro Preview came out Nov 18, 2025. Knowledge cutoff: Gemini 3 Pro Preview Jan 2025, GPT-5.2 Aug 31, 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.

05 — Keep comparing

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