L LLM Cloud Hub
Side-by-side comparison

DeepSeek V4 Flash (free) vs gpt-oss-120b (free)

DeepSeek

DeepSeek V4 Flash (free)

πŸ”§ Tools
Input / 1M
$0.0000
Output / 1M
$0.0000
View DeepSeek V4 Flash (free) β†’
OpenAI

gpt-oss-120b (free)

πŸ”§ Tools
Input / 1M
$0.0000
Output / 1M
$0.0000
View gpt-oss-120b (free) β†’
DeepSeek V4 Flash (free)gpt-oss-120b (free)
Provider DeepSeek OpenAI
Context window Maximum tokens (input + output) the model can process in a single request. Glossary β†’ 1,048,576 131,072
Capabilities Optional capabilities the model advertises: vision (images), tools (function calling), json_mode (structured output). tools tools
Input $ / 1M tokens Cost for tokens you send (prompt + context). Cheaper side highlighted. Glossary β†’ 0.0000 0.0000
Output $ / 1M tokens Cost for tokens the model generates. Output is normally 3–5Γ— pricier than input. Glossary β†’ 0.0000 0.0000

Frequently asked questions

Which is cheaper, DeepSeek V4 Flash (free) or gpt-oss-120b (free)?

DeepSeek V4 Flash (free) is cheaper than gpt-oss-120b (free) on a 50/50 input/output blend by about $0 per 1M tokens. Exact savings depend on your input-vs-output ratio β€” use the cost calculator on this page for a workload-specific estimate.

Which has a larger context window, DeepSeek V4 Flash (free) or gpt-oss-120b (free)?

DeepSeek V4 Flash (free) has the larger context window at 1M tokens versus 131k tokens for gpt-oss-120b (free). That means DeepSeek V4 Flash (free) can ingest about 8.0x as much text per request.

What is the difference between DeepSeek V4 Flash (free) and gpt-oss-120b (free)?

DeepSeek V4 Flash (free) comes from DeepSeek; gpt-oss-120b (free) comes from OpenAI. They differ in pricing, context window, and supported capabilities β€” see the side-by-side table on this page for the exact figures, refreshed nightly.

Keyboard shortcuts

?
Show this overlay
/
Focus the first form field
g h
Go to / (home)
g b
Go to /best-llm-for
g c
Go to /cost
g s
Go to /self-hosted
g x
Go to /compliance
Esc
Close any overlay

Inspired by Linear and GitHub conventions. The two-key sequences (g then h) work within ~1 second.