An earlier DeepSeek flagship against Alibaba's trillion-parameter reasoner.
DeepSeek V4 Pro 0423 and Qwen3.8 2.4T are text-only flagships with a million-token window, tool support and zero-retention terms. One is an earlier DeepSeek Pro snapshot; the other is Alibaba's newest trillion-parameter reasoning model.
The 0423 snapshot has 1.6 trillion parameters and a $2.09 price, tuned for advanced reasoning and coding. Qwen3.8 2.4T has 2.4 trillion parameters with 95B active per token and a $6.00 price, tuned for heavyweight reasoning. The price gap is the first thing to notice.
At a glance
| Spec | DeepSeek V4 Pro 0423 | Qwen3.8 2.4T |
|---|---|---|
| Maker | DeepSeek | Alibaba |
| Parameters | 1.6T | 2.4T |
| Active per token | — | 95B |
| Context window | 1M (750,000 words) | 1M (750,000 words) |
| Upstream price / MTok | $2.09 | $6.00 |
| Image and video input | No | No |
| Tool use | Yes | Yes |
| Zero data retention | Yes | Yes |
| License | MIT | Apache 2.0 |
| Good at | Advanced reasoning and coding | Heavyweight reasoning |
Where DeepSeek V4 Pro 0423 pulls ahead
- Price: $2.09 versus $6.00 per million tokens, about 65% cheaper.
- The same million-token window and zero-retention terms at a much lower rate.
- Advanced reasoning and coding without paying flagship Qwen prices.
Where Qwen3.8 2.4T pulls ahead
- A larger model at 2.4 trillion parameters, with 95B active per token.
- The newer release, aimed at the heaviest reasoning workloads.
- More capacity when a problem genuinely needs the largest Qwen.
The price difference
Qwen3.8 2.4T costs $6.00 per million tokens against $2.09 for DeepSeek V4 Pro 0423 — about 2.9x more. On UsingOpen you can chat with both for free inside the daily limit, so the rate is a fair proxy for how expensive each model is to run rather than a bill you pay here. Multiply it by your monthly token volume if you are comparing API access elsewhere.
Which should you choose?
DeepSeek V4 Pro 0423 is the value pick of the pair: a 1.6T reasoning model with the same million-token window for about a third of Qwen's price. For most text reasoning and coding, start here.
Qwen3.8 2.4T makes sense when the task is at the top end and the larger model shows a real quality gain. At $6.00 per million tokens, that gain needs to be measurable on your own prompts.
Chat with DeepSeek V4 Pro 0423 free · Chat with Qwen3.8 2.4T free
Frequently asked questions
Do DeepSeek V4 Pro 0423 and Qwen3.8 2.4T have the same context window?
Yes — both are listed with a 1M context window, roughly 750,000 words. The practical limit is therefore similar, and the decision comes down to price, modalities and behaviour.
Can DeepSeek V4 Pro 0423 or Qwen3.8 2.4T read images?
Neither model accepts images — both are text-only. A visual task needs a multimodal model such as Qwen3.8 Flash, GLM 5.3 Flash or Gemma 4 instead.
Is DeepSeek V4 Pro 0423 or Qwen3.8 2.4T better for coding?
DeepSeek V4 Pro 0423 is the closer fit for code here — the catalog tunes it for advanced reasoning and coding — while Qwen3.8 2.4T is aimed at heavyweight reasoning. For project-scale coding, start with DeepSeek V4 Pro 0423; if the task leans toward the other model's strengths, it may still win.
Which is cheaper, DeepSeek V4 Pro 0423 or Qwen3.8 2.4T?
DeepSeek V4 Pro 0423 is listed at $2.09 per million tokens against $6.00 for Qwen3.8 2.4T — about 2.9x cheaper. Both are free to chat with on UsingOpen inside the daily limit when live; the rates matter if you are comparing what API access would cost.
Can I chat with DeepSeek V4 Pro 0423 and Qwen3.8 2.4T for free?
Yes. Both are selectable on UsingOpen without an account when they are live, and each user gets 10 free prompts per day. A model paused for capacity is unavailable until it returns; the picker shows live status. History stays on your device, and Compare mode can send one prompt to both models side by side.
Should I use DeepSeek V4 Pro 0423 or the newer DeepSeek V4 Pro?
The newer release — the 0813 snapshot listed as DeepSeek V4 Pro — is the full-strength V4 and costs slightly less at $1.98 per million tokens. The 0423 snapshot is the April release, kept for anyone comparing the two.
Do either of these models read images?
No. Both are text-only. If you need a DeepSeek model with vision, choose DeepSeek V4.1 Flash; for Alibaba, choose Qwen3.8 Flash.
Related comparisons
- DeepSeek V4.1 Flash vs DeepSeek V4 Flash — DeepSeek's new multimodal Flash against the older text-only bargain.
- Qwen3.8 2.4T vs Kimi K3 — The two trillion-parameter flagships: Qwen's text heavyweight against Kimi's multimodal giant.
- GLM 5.2 vs GLM 5.3 — Two generations of Z.ai's long-work model, with a price gap and a capacity catch.