ZMIME
Comparison · 2 models · Updated Nov 2, 2026

GLM-4.7 vs GPT OSS 20B

GPT OSS 20B comes out ahead, 61 to 55 on our weighted score, and it is the cheaper option too.

  1. Z.ai (Zhipu)

    GLM-4.7

    Released Dec 22, 2025

    55/100
    • ECI143.7
    • Price$0.60 / $2.20
    • Context205K
    Full specs Remove GLM-4.7
  2. Our pick

    OpenAI

    GPT OSS 20B

    Released Aug 5, 2025

    61/100
    • ECI137.8
    • Price$0.07 / $0.25
    • Context131K
    Full specs Remove GPT OSS 20B

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GPT OSS 20B is our pick

GPT OSS 20B is the better all-round choice, scoring 61/100 against GLM-4.7 (55). It leads on price. GLM-4.7 wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityGLM-4.7Capabilities Index (ECI): GLM-4.7 143.7 · GPT OSS 20B 137.8
  • Lowest priceGPT OSS 20BGPT OSS 20B $0.115 · GLM-4.7 $1.00 per 1M tokens (3:1 blend)
  • Longest contextGLM-4.7GLM-4.7 204,800 · GPT OSS 20B 131,072 tokens
  • Widest inputsSame inputsGLM-4.7: Text · GPT OSS 20B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightGLM-4.7GPT OSS 20B
CapabilityCapabilities Index (ECI)50%6961
Price25%4890
Inputs & features15%3535
Context window10%3225
Overall100%55/10061/100
02 — Side by side

Every spec in one table

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

GLM-4.7 vs GPT OSS 20B specifications side by side
SpecificationGLM-4.7Z.ai (Zhipu)GPT OSS 20BOpenAI
Capability
Capabilities Index (ECI)143.7 (best)137.8
ECI rank#94 of 165 (best)#122 of 165
GPQA DiamondGraduate-level science questions83.3% (best)60.8%
OTIS Mock AIME 2024–2025Competition mathematics83.3% (best)65.3%
SimpleQA VerifiedShort factual questions32.2%—
Price per million tokens
Input$0.60$0.07 (best)
Output$2.20$0.25 (best)
Cached input$0.11—
Blended (3:1)$1.00$0.115 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Z.AI APIMedian of 37 providers
Limits
Context window204,800 tokens (best)131,072 tokens
Max output131,072 tokens (best)32,768 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDglm-4.7—
API providers3141 (best)
ReleasedDec 22, 2025Aug 5, 2025
Knowledge cutoffApr 2025Jun 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.

  • GLM-4.7$10.40
  • GPT OSS 20B$1.20
04 — Questions

Which should you choose?

Which is better: GLM-4.7 or GPT OSS 20B?

GPT OSS 20B is the better all-round choice, scoring 61/100 against GLM-4.7 (55). It leads on price. GLM-4.7 wins on capability and context window. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, GLM-4.7 or GPT OSS 20B?

GPT OSS 20B is cheaper at $0.07 input / $0.25 output per million tokens (median across 37 API providers). GLM-4.7 costs $0.60 input / $2.20 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.115 per million tokens for GPT OSS 20B versus $1.00 for GLM-4.7 (8.7× as much).

Which scores higher on benchmarks?

GLM-4.7 scores higher on the Capabilities Index (ECI): GLM-4.7 143.7 (#94 of 165) and GPT OSS 20B 137.8 (#122 of 165). Their confidence ranges do not overlap (141.4–145.8 vs 133.1–139.7), so the gap is a real one. On individual benchmarks: GPQA Diamond — GLM-4.7 83.3%, GPT OSS 20B 60.8%; OTIS Mock AIME 2024–2025 — GLM-4.7 83.3%, GPT OSS 20B 65.3%.

Which is better for coding?

There are no published SWE-bench Verified results for GLM-4.7 and GPT OSS 20B yet, so there is no like-for-like coding score. On overall capability, GLM-4.7 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?

GLM-4.7 has the largest context window at 204,800 tokens, against 131,072 for GPT OSS 20B. Maximum output per response: GLM-4.7 up to 131,072, GPT OSS 20B up to 32,768 tokens.

Which can read images, PDFs, audio or video?

GLM-4.7 accepts text; GPT OSS 20B accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

GLM-4.7 is the newest, released Dec 22, 2025. GPT OSS 20B came out Aug 5, 2025. Knowledge cutoff: GLM-4.7 Apr 2025, GPT OSS 20B Jun 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 Nov 2, 2026.

05 — Keep comparing

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