DeepSeek V4.1 Flash vs Llama 4 Maverick
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 Maverick 17B Instruct (128E) is a high-capacity multimodal language model from Meta, built on a mixture-of-experts (MoE) architecture with 128 experts and 17 billion active parameters per forward...
- Reasoning estimated
- Speed estimated
- Input
- Output
- Context
- 1 M tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.188
- Output, $ per 1M tokens
- ▲$0.653
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/05/2025
- Knowledge cutoff
- 2024-08
- API id
- meta-llama/llama-4-maverick
Which is the better API choice: DeepSeek V4.1 Flash vs Llama 4 Maverick?
- Llama 4 Maverick: cheapest input (38% less than DeepSeek V4.1 Flash)
- Llama 4 Maverick: cheapest output
- 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 Maverick costs 38% less on input and 46% less on output than DeepSeek V4.1 Flash ($0.188 / $0.653 versus $0.300 / $1.20 per million tokens). All accept 1 M tokens of context. 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 Maverick you save $3.88 a month versus DeepSeek V4.1 Flash (42% less).
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- 4DeepSeek V4 Flash 0731 DeepSeek$1.55
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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 Maverick Meta$0.014
- 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
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- 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 Maverick?
Llama 4 Maverick costs 38% less on input and 46% less on output than DeepSeek V4.1 Flash ($0.188 / $0.653 versus $0.300 / $1.20 per million tokens). All accept 1 M tokens of context. 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 Maverick?
Llama 4 Maverick is cheaper: $0.188 per million input tokens and $0.653 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 Maverick?
DeepSeek V4.1 Flash and Llama 4 Maverick accept the same context: 1 M tokens.
Which is newer: DeepSeek V4.1 Flash and Llama 4 Maverick?
DeepSeek V4.1 Flash was released on 09/10/2026; Llama 4 Maverick on 04/05/2025.
What would 10,000 requests a month cost with DeepSeek V4.1 Flash and Llama 4 Maverick?
With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash: $9.30; Llama 4 Maverick: $5.42 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.