API cost decision in 10 seconds

Step 3.5 Flash vs gpt-oss-20b

Pick gpt-oss-20b for lower cost; pick Step 3.5 Flash only if the larger context window matters more.

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

Budget verdict

Pick gpt-oss-20b for lower cost; pick Step 3.5 Flash only if the larger context window matters more.

On the standard 1M input plus 500K output workload, gpt-oss-20b is estimated at $0.1 vs $0.24 for Step 3.5 Flash, saving $0.14 (58.3% lower).

Cost-first pickgpt-oss-20b
Context-first pickStep 3.5 Flash
Sample savings$0.1458.3%
10x traffic gap$1.4

Step 3.5 Flash has more context, but gpt-oss-20b saves $0.14 on the standard workload. At 10x that traffic, the same price gap is about $1.4. 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 pickStep 3.5 Flashgpt-oss-20b
Input-heavy / RAG5M input + 500K outputgpt-oss-20b$0.6$0.22
Balanced workload1M input + 1M outputgpt-oss-20b$0.39$0.17
Output-heavy chatbot1M input + 5M outputgpt-oss-20b$1.59$0.73
Cheaper input gpt-oss-20b $0.09 vs $0.03 / 1M

gpt-oss-20b is $0.06 cheaper per 1M input tokens (66.7% lower; 3x difference).

Cheaper output gpt-oss-20b $0.3 vs $0.14 / 1M

gpt-oss-20b is $0.16 cheaper per 1M output tokens (53.3% lower; 2.14x difference).

Larger context Step 3.5 Flash 262.14K vs 131.07K

Step 3.5 Flash has 131.07K more context (2x larger).

Sample workload gpt-oss-20b $0.24 vs $0.1

gpt-oss-20b is $0.14 cheaper on the standard workload (58.3% lower).

Estimate your workload cost

Your Workload Cost

Prices are normalized to USD per 1M tokens.
Step 3.5 Flash 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; Step 3.5 Flash 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 $0.24 for Step 3.5 Flash and $0.1 for gpt-oss-20b.

Best Fit

Choose Step 3.5 Flash when you care most about larger context window.

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 $0.24 for Step 3.5 Flash, saving $0.14 (58.3% lower).
  • gpt-oss-20b is $0.14 cheaper on the standard workload (58.3% lower).
  • gpt-oss-20b is $0.06 cheaper per 1M input tokens (66.7% lower; 3x difference).
  • gpt-oss-20b is $0.16 cheaper per 1M output tokens (53.3% lower; 2.14x difference).
  • Step 3.5 Flash has 131.07K more context (2x larger).
Head-to-Head Specs
FeatureStep 3.5 Flash
(StepFun)
gpt-oss-20b
(OpenAI)
Input Price
prompt tokens per 1M
$0.09$0.03
Completion Price
per 1M tokens
$0.3$0.14
Sample Workload Cost
1M input + 500K output
$0.24$0.1
Context Window262.14K131.07K
Release Date
Popularity#43#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 $0.24 for Step 3.5 Flash, saving $0.14 (58.3% lower).
High-volume input processinggpt-oss-20bLower prompt-token price matters most when prompts, retrieved passages, or documents dominate the bill.
Long responses and chatbotsgpt-oss-20bLower output-token price matters most when assistants generate many completion tokens.
RAG or long-document workStep 3.5 FlashA 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.
Larger context near this budget
  • Llama 4 Scout offers 10M context with $0.23 sample workload cost.
  • Owl Alpha offers 1.05M context with $0 sample workload cost.
  • DeepSeek V4 Flash offers 1.05M context with $0.2 sample workload cost.
  • MiMo-V2.5 offers 1.05M context with $0.28 sample workload cost.

Cheaper alternatives

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Larger context alternatives

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Provider catalogs

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StepFun catalog

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OpenAI catalog

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Step 3.5 Flash

Step 3.5 Flash is StepFun's most capable open-source foundation model. Built on a sparse Mixture of Experts (MoE) architecture, it selectively activates only 11B of its 196B parameters per token....

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...