ZMIME
Comparison · 2 models · Updated Oct 4, 2026

o3-pro vs GLM-5.1

GLM-5.1 comes out ahead, 57 to 51 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    o3-pro

    Released Jun 10, 2025

    51/100
    • ECI147.4
    • Price$20.00 / $80.00
    • Context200K
  2. Our pick

    Z.ai (Zhipu)

    GLM-5.1

    Released Apr 7, 2026

    57/100
    • ECI149.9
    • Price$1.40 / $4.40
    • Context200K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-5.1 is our pick

GLM-5.1 is the better all-round choice, scoring 57/100 against o3-pro (51). It leads on capability and price. o3-pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-5.1Capabilities Index (ECI): GLM-5.1 149.9 · o3-pro 147.4
  • Lowest priceGLM-5.1GLM-5.1 $2.15 · o3-pro $35.00 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameo3-pro 200,000 · GLM-5.1 200,000 tokens
  • Widest inputso3-proo3-pro: Text, Images · GLM-5.1: Text
  • Self-hostingGLM-5.1Publishes downloadable weights
How the score is built
MeasureWeighto3-proGLM-5.1
CapabilityCapabilities Index (ECI)50%7578
Price25%034
Inputs & features15%7045
Context window10%3232
Overall100%51/10057/100
02 — Side by side

Every spec in one table

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

o3-pro vs GLM-5.1 specifications side by side
Specificationo3-proOpenAIGLM-5.1Z.ai (Zhipu)
Capability
Capabilities Index (ECI)147.4149.9 (best)
ECI rank#60 of 148#51 of 148 (best)
GPQA DiamondGraduate-level science questions—89.9%
FrontierMath Tiers 1–3Research-level mathematics—36.8%
OTIS Mock AIME 2024–2025Competition mathematics—93.3%
SWE-bench VerifiedFixing real GitHub issues—74.2%
SimpleQA VerifiedShort factual questions—34.0%
Price per million tokens
Input$20.00$1.40 (best)
Output$80.00$4.40 (best)
Cached input—$0.26
Blended (3:1)$35.00$2.15 (best)
Long-context rateSame rateSame rate
Price sourceOfficial OpenAI APIOfficial Z.AI API
Limits
Context window200,000 tokens200,000 tokens
Max output100,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYeslow · medium · highYes
Tool callingYesYes
Structured outputYesYes
Availability
WeightsProprietaryOpen
API model IDo3-proglm-5.1
API providers640 (best)
ReleasedJun 10, 2025Apr 7, 2026
Knowledge cutoffMay 2024—
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.

  • o3-pro$360.00
  • GLM-5.1$22.80
04 — Questions

Which should you choose?

Which is better: o3-pro or GLM-5.1?

GLM-5.1 is the better all-round choice, scoring 57/100 against o3-pro (51). It leads on capability and price. o3-pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, o3-pro or GLM-5.1?

GLM-5.1 is cheaper at $1.40 input / $4.40 output per million tokens (official Z.AI API price). o3-pro costs $20.00 input / $80.00 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 $35.00 for o3-pro (16× 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 o3-pro 147.4 (#60 of 148). The confidence ranges of the top two overlap (148.0–151.6 vs 145.8–149.7), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for o3-pro yet, so there is no like-for-like coding score. On overall capability, GLM-5.1 leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

o3-pro and GLM-5.1 share the same 200,000-token context window. Maximum output per response: o3-pro up to 100,000, GLM-5.1 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

o3-pro accepts text and images; GLM-5.1 accepts text. o3-pro handles the widest range of inputs.

Are any of these open source?

GLM-5.1 publishes its weights and can be self-hosted; o3-pro is proprietary.

Which is newer?

GLM-5.1 is the newest, released Apr 7, 2026. o3-pro came out Jun 10, 2025. Knowledge cutoff: o3-pro May 2024.

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.