DeepSeek · language model
DeepSeek V4 Flash 0423: pricing, context and benchmarks
DeepSeek V4 Flash 0423 is a language model from DeepSeek released on April 24, 2026. It costs $0.09 per million input tokens and $0.18 per million output tokens, with a 1M-token context window. Epoch AI ranks it #42 of 125 rated models.
What you need to know about DeepSeek V4 Flash 0423
DeepSeek V4 Flash 0423 was released by DeepSeek (China) on April 24, 2026. It accepts text as input and produces text. Its context window reaches 1,048,576 tokens, larger than 93 % of the models in the registry, and it can write up to 943,717 tokens in one go.
It has been available for about 6 months, long enough for its prices and scores to have settled.
DeepSeek V4 Flash 0423 pricing
On OpenRouter, DeepSeek V4 Flash 0423 costs $0.09 per million input tokens and $0.18 per million output tokens. Counting three tokens read for every token written, its average price is $0.114 per million, more expensive than 11 % of paid models (6.7 times cheaper than the median of $0.76).
A concrete example: a task that sends 2,000 tokens (about 1,500 words) and receives a 500-token answer costs $0.0003. At 1,000 tasks a day, budget $8 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.018 per million.
Performance and benchmarks
The Epoch Capabilities Index (ECI), which aggregates published results across many benchmarks, gives DeepSeek V4 Flash 0423 a score of 154.8 (range 152.1 to 156.9). That places it #42 of 125 rated models.
Scores published by Epoch AI on the benchmarks the site tracks:
| Benchmark | What it measures | Score | Date |
|---|---|---|---|
| GPQA Diamond | PhD-level science questions | 91 % | Jul 31, 2026 |
| ARC-AGI-1 | visual abstract-reasoning puzzles | 89 % | Jul 31, 2026 |
| ARC-AGI-2 | harder version of the ARC puzzles | 61.4 % | Jul 31, 2026 |
| FrontierMath | research-level maths problems (tiers 1-3) | 57.5 % | Jul 31, 2026 |
| OTIS Mock AIME | maths competition problems | 94.4 % | Jul 31, 2026 |
| SimpleQA Verified | accuracy on simple facts | 33.6 % | Jul 31, 2026 |
For at least equal performance, DeepSeek V4 Flash 0731 costs at least 30% less.
Features, privacy and local use
- It supports tool calling, so it can drive an AI agent, call APIs or MCP servers.
- It can answer in an enforced JSON format (structured outputs).
- It is a reasoning model: it "thinks" before answering, which helps on hard tasks but uses more output tokens.
Its weights are open and downloadable from Hugging Face (mit licence): you can run it on your own machines without sending your data to a third party. With 290,944,616,402 billion parameters, it needs about 162,577,973,531 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 880,327 times on Hugging Face last month.
Other DeepSeek models
| Model | Released | Avg. price | ECI |
|---|---|---|---|
| DeepSeek V4.1 Flash 1017 | Oct 17, 2026 | $0.26 | 155.9 |
| DeepSeek V4.1 Flash | Sep 10, 2026 | $0.27 | 155.9 |
| DeepSeek V4 Flash Vision Exp | Aug 21, 2026 | $0.32 | — |
| DeepSeek V4 Pro 0813 | Aug 12, 2026 | $0.99 | 155.6 |
| DeepSeek V4 Flash 0731 | Jul 31, 2026 | $0.07 | 154.8 |
| DeepSeek V4 Pro 0423 | Apr 24, 2026 | $0.26 | 155.6 |
| DeepSeek V3.2 | Dec 1, 2025 | $0.32 | 146.1 |
| DeepSeek V3.2 Exp | Sep 29, 2025 | $0.31 | 144.9 |
Verdict
DeepSeek V4 Flash 0423 scores 83/100 on our grid, which only uses published figures.
Strengths
- Low price: cheaper than 89 % of paid models.
- Very large context (1M tokens): long documents or a whole codebase fit in one request.
- Open weights: self-hostable, your data stays with you.
- Agent-ready: tool calling and structured JSON output.
Limitations
- Text only: reads neither images nor files.
Avoid if…
- you want to host it on a single consumer computer (≈ 162,577,973,531 GB needed at 4-bit).
Alternatives
- GLM 5.3 Flash$0.24
- GPT-6 Luna$0.2
- GLM 5.3$0.41
- GPT-5.6 Luna$0.45
- Claude Haiku 5.5$0.2
- Gemini 3.6 Flash$1.5
Comparisons and tools
Learn more
Frequently asked questions
How much does DeepSeek V4 Flash 0423 cost?
$0.09 per million input tokens and $0.18 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0003.
How big is DeepSeek V4 Flash 0423's context window?
1,048,576 tokens, roughly 786,000 words, with a maximum of 943,717 output tokens.
Can DeepSeek V4 Flash 0423 run locally?
Yes, its weights are published under the mit licence. Expect about 162,577,973,531 GB of memory at 4-bit.
Is DeepSeek V4 Flash 0423 suitable for an AI agent?
Technically yes: it supports tool calling and structured outputs. Then check its cost for your volume.
How good is DeepSeek V4 Flash 0423?
Epoch AI ranks it #42 of 125 rated models (ECI 154.8). On GPQA Diamond, it scores 91%.
What are the alternatives to DeepSeek V4 Flash 0423?
The closest models on price and performance are GLM 5.3 Flash, GPT-6 Luna, and GLM 5.3.
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Neutrality. No affiliate links. No vendor pays to be reviewed, rated or ranked. Reviews are directed by François Chollet, neutral and factual, and every data point is dated and sourced. How we score