ZMIME
Comparison · 2 models · Updated Nov 2, 2026

o4-mini-deep-research vs GLM-4.7

GLM-4.7 comes out ahead, 41 to 37 on our weighted score, and it is the cheaper option too.

  1. OpenAI

    o4-mini-deep-research

    Released Jun 26, 2025

    37/100
    • ECI—
    • Price$1.80 / $7.20
    • Context200K
    Full specs Remove o4-mini-deep-research
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    41/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.7 is our pick

GLM-4.7 is the better all-round choice, scoring 41/100 against o4-mini-deep-research (37). It leads on price. o4-mini-deep-research 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 priceGLM-4.7GLM-4.7 $1.00 · o4-mini-deep-research $3.15 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7GLM-4.7 204,800 · o4-mini-deep-research 200,000 tokens
  • Widest inputso4-mini-deep-researcho4-mini-deep-research: Text, Images · GLM-4.7: Text
  • Self-hostingGLM-4.7Publishes downloadable weights
How the score is built
MeasureWeighto4-mini-deep-researchGLM-4.7
Price50%2548
Inputs & features30%6035
Context window20%3232
Overall100%37/10041/100

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.

o4-mini-deep-research vs GLM-4.7 specifications side by side
Specificationo4-mini-deep-researchOpenAIGLM-4.7Z.ai (Zhipu)
Capability
Capabilities Index (ECI)—143.7
ECI rank—#94 of 165
GPQA DiamondGraduate-level science questions—83.3%
OTIS Mock AIME 2024–2025Competition mathematics—83.3%
SimpleQA VerifiedShort factual questions—32.2%
Price per million tokens
Input$1.80$0.60 (best)
Output$7.20$2.20 (best)
Cached input—$0.11
Blended (3:1)$3.15$1.00 (best)
Long-context rateSame rateSame rate
Price sourceMedian of 1 providersOfficial Z.AI API
Limits
Context window200,000 tokens204,800 tokens (best)
Max output100,000 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsProprietaryOpen
API model ID—glm-4.7
API providers131 (best)
ReleasedJun 26, 2025Dec 22, 2025
Knowledge cutoffMay 2024Apr 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.

  • o4-mini-deep-research$32.40
  • GLM-4.7$10.40
04 — Questions

Which should you choose?

Which is better: o4-mini-deep-research or GLM-4.7?

GLM-4.7 is the better all-round choice, scoring 41/100 against o4-mini-deep-research (37). It leads on price. o4-mini-deep-research 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, o4-mini-deep-research or GLM-4.7?

GLM-4.7 is cheaper at $0.60 input / $2.20 output per million tokens (official Z.AI API price). o4-mini-deep-research costs $1.80 input / $7.20 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $1.00 per million tokens for GLM-4.7 versus $3.15 for o4-mini-deep-research (3.1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. o4-mini-deep-research has not been scored yet and GLM-4.7 has an ECI of 143.7.

Which is better for coding?

There are no published SWE-bench Verified results for o4-mini-deep-research and GLM-4.7 yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

GLM-4.7 has the largest context window at 204,800 tokens, against 200,000 for o4-mini-deep-research. Maximum output per response: o4-mini-deep-research up to 100,000, GLM-4.7 up to 131,072 tokens.

Which can read images, PDFs, audio or video?

o4-mini-deep-research accepts text and images; GLM-4.7 accepts text. o4-mini-deep-research handles the widest range of inputs.

Are any of these open source?

GLM-4.7 publishes its weights and can be self-hosted; o4-mini-deep-research is proprietary.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. o4-mini-deep-research came out Jun 26, 2025. Knowledge cutoff: o4-mini-deep-research May 2024, GLM-4.7 Apr 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 Nov 2, 2026.

05 — Keep comparing

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