API cost decision in 10 seconds

gpt-oss-20b vs GLM 4 32B

Pick gpt-oss-20b when budget and context both matter.

Page updated:  Data confirmed:  Prices normalized to USD per 1M tokens Sample workload: 1M input + 500K output

Budget verdict

Pick gpt-oss-20b when budget and context both matter.

On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.15 for GLM 4 32B, saving $0.05 (33.3% lower).

Cost-first pickgpt-oss-20b
Context-first pickgpt-oss-20b
Sample savings$0.0533.3%
10x traffic gap$0.5

gpt-oss-20b is cheaper on the standard workload and also has the larger context window. At 10x that traffic, the same price gap is about $0.5. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

Cost winner changes by workload shape: input-heavy / RAG favors gpt-oss-20b, balanced workload favors gpt-oss-20b, and output-heavy chatbot favors GLM 4 32B.

Workload shapeToken mixBetter pickgpt-oss-20bGLM 4 32B
Input-heavy / RAG5M input + 500K outputgpt-oss-20b$0.22$0.55
Balanced workload1M input + 1M outputgpt-oss-20b$0.17$0.2
Output-heavy chatbot1M input + 5M outputGLM 4 32B$0.73$0.6
Cheaper input gpt-oss-20b $0.03 vs $0.1 / 1M

gpt-oss-20b is $0.07 cheaper per 1M input tokens (70% lower; 3.33x difference).

Cheaper output GLM 4 32B $0.14 vs $0.1 / 1M

GLM 4 32B is $0.04 cheaper per 1M output tokens (28.6% lower; 1.4x difference).

Larger context gpt-oss-20b 131.07K vs 128K

gpt-oss-20b has 3.07K more context (1.02x larger).

Sample workload gpt-oss-20b $0.1 vs $0.15

gpt-oss-20b is $0.05 cheaper on the standard workload (33.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
gpt-oss-20b Calculating… Estimated API cost
GLM 4 32B Calculating… Estimated API cost
Cheaper for this workload Calculating… Difference: calculating…

This estimate uses normalized public API pricing per 1M tokens. It is a planning aid, not a billing quote. Verify provider pricing, limits, and terms before production use.

Quick Decision

Verdict

gpt-oss-20b has the lower input price; GLM 4 32B has the lower output price; gpt-oss-20b offers the larger context window. For the 1M input plus 500K output sample, gpt-oss-20b is cheaper for the standard workload.

For a 1M input token plus 500K output token workload, the estimated API cost is $0.1 for gpt-oss-20b and $0.15 for GLM 4 32B.

Best Fit

Choose gpt-oss-20b when you care most about lower input-token price, and larger context window.

Choose GLM 4 32B when you care most about lower output-token price.

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.15 for GLM 4 32B, saving $0.05 (33.3% lower).
  • gpt-oss-20b is $0.05 cheaper on the standard workload (33.3% lower).
  • gpt-oss-20b is $0.07 cheaper per 1M input tokens (70% lower; 3.33x difference).
  • GLM 4 32B is $0.04 cheaper per 1M output tokens (28.6% lower; 1.4x difference).
  • gpt-oss-20b has 3.07K more context (1.02x larger).
Head-to-Head Specs
Featuregpt-oss-20b
(OpenAI)
GLM 4 32B
(Z.ai)
Input Price
prompt tokens per 1M
$0.03$0.1
Completion Price
per 1M tokens
$0.14$0.1
Sample Workload Cost
1M input + 500K output
$0.1$0.15
Context Window131.07K128K
Release Date
Popularity#67#147

Use-Case Decision Matrix

Use caseBetter pickWhy
Budget-constrained productiongpt-oss-20bOn the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.15 for GLM 4 32B, saving $0.05 (33.3% lower).
High-volume input processinggpt-oss-20bLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsGLM 4 32BLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workgpt-oss-20bA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • gpt-oss-120b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
  • gpt-oss-20b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
  • GLM 4.5 Air (free) can replace GLM 4 32B when lower sample workload cost matters most: $0.

Cheaper alternatives

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Larger context alternatives

Find models with larger context windows for RAG, long documents, and codebase review.

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Provider catalogs

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OpenAI catalog

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Z.ai catalog

Check other Z.ai models with comparable pricing, context, or release timing.

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gpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license. It uses a Mixture-of-Experts (MoE) architecture with 3.6B active parameters per forward pass, optimized for...

GLM 4 32B

GLM 4 32B is a cost-effective foundation language model. It can efficiently perform complex tasks and has significantly enhanced capabilities in tool use, online search, and code-related intelligent tasks. It...