DeepSeek V4.1 Flash vs Llama 4 Scout
Pick up to 3 models · pricing, context and capabilities · simulate your product cost
Data updated on September 30, 2026· 217 models
DeepSeek V4.1 Flash is a sparse mixture-of-experts model from DeepSeek, and the first built on the company's Causal Encoder-Decoder (CED) architecture.
- Reasoning estimated
- ▲
- Speed estimated
- ▲
- Input
- Output
- Context
- 1 M tokens
- Max output
- ▲944 K
- Input, $ per 1M tokens
- $0.300
- Output, $ per 1M tokens
- $1.20
- Cache read, $ per 1M
- $0.006
- Batch (input / output)
- $0.112 / $0.336
- Tool calling
- Yes
- Released
- ▲09/10/2026
- Knowledge cutoff
- 2025-05
- API id
- deepseek/deepseek-v4.1-flash
Llama 4 Scout 17B Instruct (16E) is a mixture-of-experts (MoE) language model developed by Meta, activating 17 billion parameters out of a total of 109B.
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- ▲1.3 M tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.100
- Output, $ per 1M tokens
- ▲$0.300
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 01/01/2025
- Knowledge cutoff
- 2025-01
- API id
- meta-llama/llama-4-scout
Which is the better API choice: DeepSeek V4.1 Flash vs Llama 4 Scout?
- Llama 4 Scout: cheapest input (67% less than DeepSeek V4.1 Flash)
- Llama 4 Scout: cheapest output
- Llama 4 Scout: largest context (1.3 M)
- DeepSeek V4.1 Flash: the newest (09/10/2026)
- DeepSeek V4.1 Flash: most reasoning (estimated)
- DeepSeek V4.1 Flash: the fastest (estimated)
Llama 4 Scout costs 67% less on input and 75% less on output than DeepSeek V4.1 Flash ($0.100 / $0.300 versus $0.300 / $1.20 per million tokens). Llama 4 Scout accepts more context (1.3 M). On capabilities, DeepSeek V4.1 Flash has a reasoning mode. DeepSeek V4.1 Flash offers 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.
With Llama 4 Scout you save $6.60 a month versus DeepSeek V4.1 Flash (71% less).
The 6 cheapest for this scenario (chat, last 12 months)
- 1Lyria 3 Pro Preview Google$0.00
- 2Lyria 3 Clip Preview Google$0.00
- 3Qwen3.7 Flash Qwen$0.97
- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
- 5Ministral 3 3B 2512 Mistral$1.90
- 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.
Cost of sending it 1,000 times (input only)
- 1Llama 4 Scout Meta$0.008
- 2DeepSeek V4.1 Flash DeepSeek$0.023
- 3Claude Sonnet 5.5 Anthropic$0.152
- 4Claude Sonnet 5 Anthropic$0.152
- 5Claude Opus 5.5 Anthropic$0.304
- 6Claude Opus 5 Anthropic$0.380
- 7Claude Fable 5.1 Anthropic$0.760
- 8Claude Fable 5 Anthropic$0.760
Popular comparisons
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- Gemini 3.8 Flash vs DeepSeek V4.1 Flash
- Gemini 3.8 Flash vs Grok 4.7
- DeepSeek V4.1 Flash vs Grok 4.7
Frequently asked questions
Which is the better API choice: DeepSeek V4.1 Flash vs Llama 4 Scout?
Llama 4 Scout costs 67% less on input and 75% less on output than DeepSeek V4.1 Flash ($0.100 / $0.300 versus $0.300 / $1.20 per million tokens). Llama 4 Scout accepts more context (1.3 M). On capabilities, DeepSeek V4.1 Flash has a reasoning mode. DeepSeek V4.1 Flash offers a batch tier at half price for jobs that do not need an immediate answer.
Which is cheaper: DeepSeek V4.1 Flash and Llama 4 Scout?
Llama 4 Scout is cheaper: $0.100 per million input tokens and $0.300 per million output tokens, versus $0.300 / $1.20 for DeepSeek V4.1 Flash.
Which has more context: DeepSeek V4.1 Flash and Llama 4 Scout?
Llama 4 Scout accepts 1.3 M tokens of context; DeepSeek V4.1 Flash accepts 1 M.
Which is newer: DeepSeek V4.1 Flash and Llama 4 Scout?
DeepSeek V4.1 Flash was released on 09/10/2026; Llama 4 Scout on 01/01/2025.
What would 10,000 requests a month cost with DeepSeek V4.1 Flash and Llama 4 Scout?
With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash: $9.30; Llama 4 Scout: $2.70 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.