DeepSeek V4.1 Flash vs gpt-oss-20b
At a Glance
| Compare | DeepSeek V4.1 FlashDeepSeek | gpt-oss-20bOpenAI |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| CostLower is better · Published-token output estimate | #5 of 44$0.022 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.15DeepSeek ↗ · Sep 10, 2026 | $0.030Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.60Deepinfra ↗ · Sep 22, 2026 | $0.13Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 131K |
| Model facts checked | Sep 10, 2026View model evidence → | Aug 28, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
Side-by-Side Facts
| Field | DeepSeek-V4.1-Flash | gpt-oss-20b |
|---|---|---|
| Developer | DeepSeek | OpenAI |
| Family | Deepseek V4 1 | Gpt Oss |
| Model | DeepSeek-V4.1-Flash | gpt-oss-20b |
| Version | DeepSeek-V4.1-Flash | gpt-oss-20b |
| Lifecycle | active | active |
| Released | 2026-09-10 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text, Image | Text |
| Output modalities | Text | Text |
| Context window | 1,049K | 131K |
| Total parameters | 763.2B | 20.9B |
| Active parameters | Unknown | 3.6B |
| License | mit | apache-2.0 |
| Open weights | Yes | Yes |
| API available | Yes | Yes |
| Self-hostable | Yes | Yes |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Together Ai (Standard) | Deepinfra (Standard), Groq (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Serverless, Standard) |
| Capabilities | agents, chat, fim, generation, reasoning, responses, structured_outputs, tools, vision | chat, generation, reasoning, tools |
| Architecture design | Causal Encoder-Decoder (20 encoder + 20 decoder layers) | Unknown |
| Backbone parameters | 552000000000 parameters | Unknown |
| Active parameters during decode | 16000000000 parameters | Unknown |
| Active parameters during prefill | 8000000000 parameters | Unknown |
| Pre-training corpus | 45000000000000 tokens | Unknown |
| Reasoning effort range | 1–100 | Unknown |
| Routed experts per MoE layer | 384 experts | Unknown |
| Routed experts per token | 6 experts | Unknown |
| Transformer layers | 40 layers | Unknown |
DeepSeek V4.1 Flash Capabilities
gpt-oss-20b Capabilities
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4.1 Flash vs gpt-oss-20b FAQs
Is DeepSeek V4.1 Flash or gpt-oss-20b better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4.1 Flash and gpt-oss-20b, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4.1 Flash or gpt-oss-20b?+
DeepSeek V4.1 Flash is $0.15 and gpt-oss-20b is $0.030 per million tokens, so gpt-oss-20b is cheaper on this metric. DeepSeek V4.1 Flash is $0.60 and gpt-oss-20b is $0.13 per million tokens, so gpt-oss-20b is cheaper on this metric.
Which has a larger context window, DeepSeek V4.1 Flash or gpt-oss-20b?+
DeepSeek V4.1 Flash has the larger sourced context window. DeepSeek V4.1 Flash supports 1,049K and gpt-oss-20b supports 131K.
Which performs better in benchmarks, DeepSeek V4.1 Flash or gpt-oss-20b?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V4.1 Flash or gpt-oss-20b be self-hosted?+
Both models have the same recorded self-hosting status: supported. DeepSeek V4.1 Flash is open weight; gpt-oss-20b is open weight.
Can DeepSeek V4.1 Flash and gpt-oss-20b understand images?+
DeepSeek V4.1 Flash is documented with image input; gpt-oss-20b is not documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4.1 Flash or gpt-oss-20b?+
Neither has a larger sourced maximum output. DeepSeek V4.1 Flash is 393K and gpt-oss-20b is —.
Do DeepSeek V4.1 Flash and gpt-oss-20b support reasoning and tool use?+
DeepSeek V4.1 Flash: reasoning, tool calling, and image input. gpt-oss-20b: reasoning and tool calling. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4.1 Flash or gpt-oss-20b?+
DeepSeek V4.1 Flash has 3 sourced provider routes; gpt-oss-20b has 5, so gpt-oss-20b has broader tracked availability.
Which offers better value, DeepSeek V4.1 Flash or gpt-oss-20b?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.