Gemini 3.8 Flash vs gpt-oss-20b

Pick up to 3 models · pricing, context and capabilities · simulate your product cost

Data updated on September 30, 2026· 217 models

Google3.8 Flash

Gemini 3.8 Flash is Google's most intelligent Flash model with significant gains from 3.7 Flash across software engineering, agentic tasks, and multi-step reasoning.

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Reasoning estimated
Speed estimated
▲
Input
Output
Context
▲1 M tokens
Max output
▲66 K
Input, $ per 1M tokens
$0.750
Output, $ per 1M tokens
$3.75
Cache read, $ per 1M
$0.075
Batch (input / output)
$0.375 / $1.88
Tool calling
Yes
Released
▲09/02/2026
Knowledge cutoff
—
API id
google/gemini-3.8-flash
OpenAIgpt-oss-20b

gpt-oss-20b is an open-weight 21B parameter model released by OpenAI under the Apache 2.0 license.

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Reasoning estimated
▲
Speed estimated
Input
Output
Context
131 K tokens
Max output
33 K
Input, $ per 1M tokens
▲$0.018
Output, $ per 1M tokens
▲$0.090
Cache read, $ per 1M
$0.009
Batch (input / output)
$0.024 / $0.112
Tool calling
Yes
Released
08/05/2025
Knowledge cutoff
—
API id
openai/gpt-oss-20b
Third model (optional)
text image audio video PDF / file reasoning (1 to 5, estimated by family) speed (1 to 4, estimated by family)▲ best value among the selected

Which is the better API choice: Gemini 3.8 Flash vs gpt-oss-20b?

  • gpt-oss-20b: cheapest input (98% less than Gemini 3.8 Flash)
  • gpt-oss-20b: cheapest output
  • Gemini 3.8 Flash: largest context (1 M)
  • Gemini 3.8 Flash: the newest (09/02/2026)
  • gpt-oss-20b: most reasoning (estimated)
  • Gemini 3.8 Flash: the fastest (estimated)

gpt-oss-20b costs 98% less on input and 98% less on output than Gemini 3.8 Flash ($0.018 / $0.090 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash and gpt-oss-20b offer a batch tier at half price for jobs that do not need an immediate answer.

What would your product cost?

Estimate the monthly cost with your app's real volume. List prices, no cache or batch discounts.

Gemini 3.8 Flash
$26.25/mo
gpt-oss-20b
$0.63/mo

With gpt-oss-20b you save $25.62 a month versus Gemini 3.8 Flash (98% less).

The 6 cheapest for this scenario (chat, last 12 months)

  1. 1Lyria 3 Pro Preview Google$0.00
  2. 2Lyria 3 Clip Preview Google$0.00
  3. 3Qwen3.7 Flash Qwen$0.97
  4. 4DeepSeek V4 Flash 0731 DeepSeek$1.55
  5. 5Ministral 3 3B 2512 Mistral$1.90
  6. 6Qwen3.5-Flash Qwen$2.02

Paste your prompt: tokens and cost per model

Rough estimate (about 4 characters per token). Nothing is sent to any server.

76tokens approx.287 characters

Cost of sending it 1,000 times (input only)

  1. 1gpt-oss-20b OpenAI$0.001
  2. 2Gemini 3.8 Flash Google$0.057
  3. 3Claude Sonnet 5.5 Anthropic$0.152
  4. 4Claude Sonnet 5 Anthropic$0.152
  5. 5Claude Opus 5.5 Anthropic$0.304
  6. 6Claude Opus 5 Anthropic$0.380
  7. 7Claude Fable 5.1 Anthropic$0.760
  8. 8Claude Fable 5 Anthropic$0.760

Popular comparisons

Frequently asked questions

Which is the better API choice: Gemini 3.8 Flash vs gpt-oss-20b?

gpt-oss-20b costs 98% less on input and 98% less on output than Gemini 3.8 Flash ($0.018 / $0.090 versus $0.750 / $3.75 per million tokens). Gemini 3.8 Flash accepts more context (1 M). On capabilities, Gemini 3.8 Flash accepts images; only Gemini 3.8 Flash accepts audio. Gemini 3.8 Flash and gpt-oss-20b offer a batch tier at half price for jobs that do not need an immediate answer.

Which is cheaper: Gemini 3.8 Flash and gpt-oss-20b?

gpt-oss-20b is cheaper: $0.018 per million input tokens and $0.090 per million output tokens, versus $0.750 / $3.75 for Gemini 3.8 Flash.

Which has more context: Gemini 3.8 Flash and gpt-oss-20b?

Gemini 3.8 Flash accepts 1 M tokens of context; gpt-oss-20b accepts 131 K.

Which is newer: Gemini 3.8 Flash and gpt-oss-20b?

Gemini 3.8 Flash was released on 09/02/2026; gpt-oss-20b on 08/05/2025.

What would 10,000 requests a month cost with Gemini 3.8 Flash and gpt-oss-20b?

With 1,500 input and 400 output tokens per request: Gemini 3.8 Flash: $26.25; gpt-oss-20b: $0.63 a month, at list price.

Where do the prices come from and how often are they updated?

From the public catalogs of OpenRouter, models.dev and LiteLLM, which publish each provider's list prices. They sync once a day and the last update date is shown above the comparison.

What does price per million tokens mean?

It is what the provider charges per million tokens you send (input) or the model generates (output). A token is roughly 4 characters. Output almost always costs more than input.

Sources: OpenRouter, models.dev and LiteLLM. Prices in USD per million tokens, list price, no volume discounts. Prompt tokens are an estimate; each provider's tokenizer may differ.