DeepSeek V4.1 Flash vs Qwen3 32B
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
Qwen3-32B is a dense 32.8B parameter causal language model from the Qwen3 series, optimized for both complex reasoning and efficient dialogue.
- Reasoning estimated
- ▲
- Speed estimated
- Input
- Output
- Context
- 131 K tokens
- Max output
- 16 K
- Input, $ per 1M tokens
- ▲$0.080
- Output, $ per 1M tokens
- ▲$0.280
- Cache read, $ per 1M
- —
- Batch (input / output)
- —
- Tool calling
- Yes
- Released
- 04/01/2025
- Knowledge cutoff
- 2025-04
- API id
- qwen/qwen3-32b
Which is the better API choice: DeepSeek V4.1 Flash vs Qwen3 32B?
- Qwen3 32B: cheapest input (73% less than DeepSeek V4.1 Flash)
- Qwen3 32B: cheapest output
- DeepSeek V4.1 Flash: largest context (1 M)
- DeepSeek V4.1 Flash: the newest (09/10/2026)
- Qwen3 32B: most reasoning (estimated)
- DeepSeek V4.1 Flash: the fastest (estimated)
Qwen3 32B costs 73% less on input and 77% less on output than DeepSeek V4.1 Flash ($0.080 / $0.280 versus $0.300 / $1.20 per million tokens). DeepSeek V4.1 Flash accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash accepts images. 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 Qwen3 32B you save $6.98 a month versus DeepSeek V4.1 Flash (75% 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)
- 1Qwen3 32B Qwen$0.006
- 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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- GPT-6.1 Sol vs Gemini 3.8 Flash
- GPT-6.1 Sol vs DeepSeek V4.1 Flash
- GPT-6.1 Sol vs Grok 4.7
- 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 Qwen3 32B?
Qwen3 32B costs 73% less on input and 77% less on output than DeepSeek V4.1 Flash ($0.080 / $0.280 versus $0.300 / $1.20 per million tokens). DeepSeek V4.1 Flash accepts more context (1 M). On capabilities, DeepSeek V4.1 Flash accepts images. 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 Qwen3 32B?
Qwen3 32B is cheaper: $0.080 per million input tokens and $0.280 per million output tokens, versus $0.300 / $1.20 for DeepSeek V4.1 Flash.
Which has more context: DeepSeek V4.1 Flash and Qwen3 32B?
DeepSeek V4.1 Flash accepts 1 M tokens of context; Qwen3 32B accepts 131 K.
Which is newer: DeepSeek V4.1 Flash and Qwen3 32B?
DeepSeek V4.1 Flash was released on 09/10/2026; Qwen3 32B on 04/01/2025.
What would 10,000 requests a month cost with DeepSeek V4.1 Flash and Qwen3 32B?
With 1,500 input and 400 output tokens per request: DeepSeek V4.1 Flash: $9.30; Qwen3 32B: $2.32 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.