API cost decision in 10 seconds

GLM 4.5 Air vs gpt-oss-20b

Pick gpt-oss-20b when budget is the priority.

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 is the priority.

On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.54 for GLM 4.5 Air, saving $0.44 (81.7% lower).

Cost-first pickgpt-oss-20b
Context-first pickBoth models
Sample savings$0.4481.7%
10x traffic gap$4.45

The reported context window is tied, so cost and provider fit carry more weight. At 10x that traffic, the same price gap is about $4.45. Use the calculator below to replace the sample workload with your own token volume.

Cost sensitivity

Workload Sensitivity

Same prices, different token mixes.

gpt-oss-20b stays cheaper across input-heavy, balanced, and output-heavy sample workloads.

Workload shapeToken mixBetter pickGLM 4.5 Airgpt-oss-20b
Input-heavy / RAG5M input + 500K outputgpt-oss-20b$1.04$0.22
Balanced workload1M input + 1M outputgpt-oss-20b$0.96$0.17
Output-heavy chatbot1M input + 5M outputgpt-oss-20b$4.33$0.73
Cheaper input gpt-oss-20b $0.125 vs $0.03 / 1M

gpt-oss-20b is $0.1 cheaper per 1M input tokens (76% lower; 4.17x difference).

Cheaper output gpt-oss-20b $0.84 vs $0.14 / 1M

gpt-oss-20b is $0.7 cheaper per 1M output tokens (83.3% lower; 6x difference).

Larger context Tie 131.07K vs 131.07K

Both models report the same context window at 131.07K tokens.

Sample workload gpt-oss-20b $0.54 vs $0.1

gpt-oss-20b is $0.44 cheaper on the standard workload (81.7% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
GLM 4.5 Air Calculating… Estimated API cost
gpt-oss-20b 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; gpt-oss-20b has the lower output price; both models report the same 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 $0.54 for GLM 4.5 Air and $0.1 for gpt-oss-20b.

Best Fit

Choose GLM 4.5 Air when its provider, model quality, latency, or availability is more important than the numeric price/context winner.

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

Decision Notes
  • On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.54 for GLM 4.5 Air, saving $0.44 (81.7% lower).
  • gpt-oss-20b is $0.44 cheaper on the standard workload (81.7% lower).
  • gpt-oss-20b is $0.1 cheaper per 1M input tokens (76% lower; 4.17x difference).
  • gpt-oss-20b is $0.7 cheaper per 1M output tokens (83.3% lower; 6x difference).
  • Both models report the same context window at 131.07K tokens.
Head-to-Head Specs
FeatureGLM 4.5 Air
(Z.ai)
gpt-oss-20b
(OpenAI)
Input Price
prompt tokens per 1M
$0.125$0.03
Completion Price
per 1M tokens
$0.84$0.14
Sample Workload Cost
1M input + 500K output
$0.54$0.1
Context Window131.07K131.07K
Release Date
Popularity#37#67

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 $0.54 for GLM 4.5 Air, saving $0.44 (81.7% lower).
High-volume input processinggpt-oss-20bLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsgpt-oss-20bLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workTieA larger context window leaves more room for retrieved passages, conversation history, or source files.

Related Alternatives

Same-provider lower-cost swaps
  • GLM 4.5 Air (free) can replace GLM 4.5 Air when lower sample workload cost matters most: $0.
  • GLM 4 32B can replace GLM 4.5 Air when lower sample workload cost matters most: $0.15.
  • GLM 4.7 Flash can replace GLM 4.5 Air when lower sample workload cost matters most: $0.26.
  • gpt-oss-120b (free) can replace gpt-oss-20b when lower sample workload cost matters most: $0.
Larger context near this budget

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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Z.ai catalog

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OpenAI catalog

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GLM 4.5 Air

GLM-4.5-Air is the lightweight variant of our latest flagship model family, also purpose-built for agent-centric applications. Like GLM-4.5, it adopts the Mixture-of-Experts (MoE) architecture but with a more compact parameter...

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...