DeepSeek · language model
DeepSeek V4 Pro 0423: pricing, context and benchmarks
DeepSeek V4 Pro 0423 is DeepSeek's model released on April 24, 2026. It costs $0.21 per million input tokens and $0.42 per million output tokens, with a 1M-token context window. Epoch AI ranks it #35 of 125 rated models.
What you need to know about DeepSeek V4 Pro 0423
DeepSeek, based in China, put DeepSeek V4 Pro 0423 online 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 384,000 tokens in one go.
It has been available for about 6 months, long enough for its prices and scores to have settled.
DeepSeek V4 Pro 0423 pricing
On OpenRouter, DeepSeek V4 Pro 0423 costs $0.21 per million input tokens and $0.42 per million output tokens. Counting three tokens read for every token written, its average price is $0.261 per million, more expensive than 24 % of paid models (2.9 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 $0.0006. At 1,000 tasks a day, budget $19 a month. The price calculator redoes this with your own volumes.
Tokens already sent and cached are billed at $0.017 per million.
Performance and benchmarks
The Epoch Capabilities Index (ECI), which aggregates published results across many benchmarks, gives DeepSeek V4 Pro 0423 a score of 155.6 (range 153.7 to 158). That places it #35 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 | 91.7 % | Aug 13, 2026 |
| ARC-AGI-1 | visual abstract-reasoning puzzles | 90.5 % | Aug 13, 2026 |
| ARC-AGI-2 | harder version of the ARC puzzles | 61.3 % | Aug 13, 2026 |
| FrontierMath | research-level maths problems (tiers 1-3) | 64.6 % | Aug 13, 2026 |
| OTIS Mock AIME | maths competition problems | 98.6 % | Aug 13, 2026 |
| SimpleQA Verified | accuracy on simple facts | 52.9 % | Aug 13, 2026 |
For at least equal performance, DeepSeek V4 Flash 0731 and DeepSeek V4 Flash 0423 cost 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 1,598,839,674,782 billion parameters, it needs about 893,421,289,389 GB of memory at 4-bit quantisation. Check with the VRAM calculator. It was downloaded 361,083 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 Flash 0423 | Apr 24, 2026 | $0.11 | 154.8 |
| DeepSeek V3.2 | Dec 1, 2025 | $0.32 | 146.1 |
| DeepSeek V3.2 Exp | Sep 29, 2025 | $0.31 | 144.9 |
Verdict
Computed score: 82/100, from public data (performance, price, context, features).
Strengths
- Low price: cheaper than 76 % 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 (≈ 893,421,289,389 GB needed at 4-bit).
Alternatives
- GPT-6 Luna$0.2
- GLM 5.3$0.41
- GLM 5.3 Flash$0.24
- GPT-5.6 Luna$0.45
- Claude Haiku 5.5$0.2
- Muse Spark Open$2
Comparisons and tools
Learn more
Frequently asked questions
How much does DeepSeek V4 Pro 0423 cost?
$0.21 per million input tokens and $0.42 per million output tokens on OpenRouter (checked October 25, 2026). A task with 2,000 tokens read and 500 written costs $0.0006.
How big is DeepSeek V4 Pro 0423's context window?
1,048,576 tokens, roughly 786,000 words, with a maximum of 384,000 output tokens.
Can DeepSeek V4 Pro 0423 run locally?
Yes, its weights are published under the mit licence. Expect about 893,421,289,389 GB of memory at 4-bit.
Is DeepSeek V4 Pro 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 Pro 0423?
Epoch AI ranks it #35 of 125 rated models (ECI 155.6). On GPQA Diamond, it scores 91.7%.
What are the alternatives to DeepSeek V4 Pro 0423?
The closest models on price and performance are GPT-6 Luna, GLM 5.3, and GLM 5.3 Flash.
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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