ZMIME
Comparison · 2 models · Updated Oct 4, 2026

GLM-5.1 vs Gemini 2.5 Pro

Gemini 2.5 Pro comes out ahead, 63 to 57 on our weighted score, though GLM-5.1 is 37% cheaper per token.

  1. Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
  2. Our pick

    Google

    Gemini 2.5 Pro

    Released Jun 17, 2025

    63/100
    • ECI145.3
    • Price$1.25 / $10.00
    • Context1.05M
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01 — Verdict

Gemini 2.5 Pro is our pick

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GLM-5.1 (57). It leads on inputs & features and context window. GLM-5.1 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.1Capabilities Index (ECI): GLM-5.1 149.9 · Gemini 2.5 Pro 145.3
  • Lowest priceGLM-5.1GLM-5.1 $2.15 · Gemini 2.5 Pro $3.44 per 1M tokens (3:1 blend)
  • Longest contextGemini 2.5 ProGemini 2.5 Pro 1,048,576 · GLM-5.1 200,000 tokens
  • Widest inputsGemini 2.5 ProGLM-5.1: Text · Gemini 2.5 Pro: Text, Images, PDFs, Audio, Video
  • Self-hostingGLM-5.1Publishes downloadable weights
How the score is built
MeasureWeightGLM-5.1Gemini 2.5 Pro
CapabilityCapabilities Index (ECI)50%7872
Price25%3424
Inputs & features15%45100
Context window10%3261
Overall100%57/10063/100
02 — Side by side

Every spec in one table

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

GLM-5.1 vs Gemini 2.5 Pro specifications side by side
SpecificationGLM-5.1Z.ai (Zhipu)Gemini 2.5 ProGoogle
Capability
Capabilities Index (ECI)149.9 (best)145.3
ECI rank#51 of 148 (best)#78 of 148
GPQA DiamondGraduate-level science questions89.9% (best)85.3%
FrontierMath Tiers 1–3Research-level mathematics36.8% (best)24.6%
OTIS Mock AIME 2024–2025Competition mathematics93.3% (best)84.7%
SWE-bench VerifiedFixing real GitHub issues74.2% (best)57.6%
SimpleQA VerifiedShort factual questions34.0%—
Price per million tokens
Input$1.40$1.25 (best)
Output$4.40 (best)$10.00
Cached input$0.26$0.125 (best)
Blended (3:1)$2.15 (best)$3.44
Long-context rateSame rateOver 200K: $2.50 / $15.00
Price sourceOfficial Z.AI APIOfficial Google API
Limits
Context window200,000 tokens1,048,576 tokens (best)
Max output131,072 tokens (best)65,536 tokens
Inputs and features
TextYesYes
ImagesNoYes
PDFsNoYes
AudioNoYes
VideoNoYes
ReasoningYesYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsOpenProprietary
API model IDglm-5.1gemini-2.5-pro
API providers40 (best)22
ReleasedApr 7, 2026Jun 17, 2025
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.

  • GLM-5.1$22.80
  • Gemini 2.5 Pro$32.50
04 — Questions

Which should you choose?

Which is better: GLM-5.1 or Gemini 2.5 Pro?

Gemini 2.5 Pro is the better all-round choice, scoring 63/100 against GLM-5.1 (57). It leads on inputs & features and context window. GLM-5.1 wins on capability and price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-5.1 or Gemini 2.5 Pro?

GLM-5.1 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). Gemini 2.5 Pro costs $1.25 input / $10.00 output per million tokens (official Google 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 $3.44 for Gemini 2.5 Pro (1.6× as much).

Which scores higher on benchmarks?

GLM-5.1 scores higher on the Capabilities Index (ECI): GLM-5.1 149.9 (#51 of 148) and Gemini 2.5 Pro 145.3 (#78 of 148). Their confidence ranges do not overlap (148.0–151.6 vs 143.6–146.9), so the gap is a real one. On individual benchmarks: GPQA Diamond — GLM-5.1 89.9%, Gemini 2.5 Pro 85.3%; FrontierMath Tiers 1–3 — GLM-5.1 36.8%, Gemini 2.5 Pro 24.6%; OTIS Mock AIME 2024–2025 — GLM-5.1 93.3%, Gemini 2.5 Pro 84.7%; SWE-bench Verified — GLM-5.1 74.2%, Gemini 2.5 Pro 57.6%.

Which is better for coding?

GLM-5.1 resolves more real GitHub issues on SWE-bench Verified: GLM-5.1 74.2% and Gemini 2.5 Pro 57.6%. Both support tool calling for agent workflows.

Which has the bigger context window?

Gemini 2.5 Pro has the largest context window at 1,048,576 tokens, against 200,000 for GLM-5.1. Maximum output per response: GLM-5.1 up to 131,072, Gemini 2.5 Pro up to 65,536 tokens.

Which can read images, PDFs, audio or video?

GLM-5.1 accepts text; Gemini 2.5 Pro accepts text, images, PDFs, audio and video. Gemini 2.5 Pro handles the widest range of inputs.

Are any of these open source?

GLM-5.1 publishes its weights and can be self-hosted; Gemini 2.5 Pro is proprietary.

Which is newer?

GLM-5.1 is the newest, released Apr 7, 2026. Gemini 2.5 Pro came out Jun 17, 2025. Knowledge cutoff: Gemini 2.5 Pro 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.