Neither wins outright: DeepSeek: DeepSeek V4 Pro 0813 is the pick when cost matters at scale, Qwen: Qwen3.8 2.4T A95B (batch) when you generate long outputs in one go.
| Spec | DeepSeek: DeepSeek V4 Pro 0813 | Qwen: Qwen3.8 2.4T A95B (batch) |
|---|---|---|
| Provider | DeepSeek | Qwen |
| Input price (per 1M tokens) | $0.66 | $2.00 |
| Output price (per 1M tokens) | $1.98 | $6.00 |
| Blended price (3:1 input/output) | $0.99 | $3.00 |
| Cheaper than … of all models we track | 39% | 21% |
| Context window | 1.0M tokens (~1,573 pages) | 1.0M tokens (~1,515 pages) |
| Larger context than … of all models | 81% | 79% |
| Max output per response | 393K tokens (~294,900 words) | 909K tokens (~681,800 words) |
| Input types | text | text |
| Output types | text | text |
| Free variant | No | No |
| Listed since | 2026-08-12 | 2026-08-12 |
Monthly cost at list price for five common workloads. Token counts per unit are stated so you can scale them to your own traffic. A workload that does not fit a model's context window is marked rather than priced.
| Workload (per month) | DeepSeek: DeepSeek V4 Pro 0813 | Qwen: Qwen3.8 2.4T A95B (batch) | Difference |
|---|---|---|---|
| Customer-support chatbot 50,000 conversations — each a 6-turn conversation (1,500 in / 400 out tokens) | $89.10 | $270 | DeepSeek: DeepSeek V4 Pro 0813 saves $181 |
| RAG search over documents 20,000 questions — each a question answered from ~8 retrieved passages (6,000 in / 500 out tokens) | $99.00 | $300 | DeepSeek: DeepSeek V4 Pro 0813 saves $201 |
| Coding / tool-using agent 2,000 tasks — each a multi-step task with tool calls and file context (60,000 in / 6,000 out tokens) | $103 | $312 | DeepSeek: DeepSeek V4 Pro 0813 saves $209 |
| Batch summarisation 10,000 documents — each a 6,000-word report summarised to a page (8,000 in / 600 out tokens) | $64.68 | $196 | DeepSeek: DeepSeek V4 Pro 0813 saves $131 |
| Long-document analysis 500 documents — each a 150-page contract or codebase read in one pass (100,000 in / 2,000 out tokens) | $34.98 | $106 | DeepSeek: DeepSeek V4 Pro 0813 saves $71.02 |
| Capability | DeepSeek: DeepSeek V4 Pro 0813 | Qwen: Qwen3.8 2.4T A95B (batch) | What it lets you do |
|---|---|---|---|
| Tool / function calling | ✓ Yes | ✓ Yes | call your APIs and run agent loops |
| Structured output (JSON schema) | ✓ Yes | ✓ Yes | return JSON that validates against your schema |
| Reasoning / thinking mode | ✓ Yes | ✓ Yes | spend extra tokens thinking before answering hard problems |
| Image input | — | — | read screenshots, charts and scanned pages |
| Audio input | — | — | take speech or audio directly |
| File / PDF input | — | — | accept documents without your own parsing step |
| Image output | — | — | generate images, not just text |
| Built-in web search | — | — | answer from live web results |
| Seed (reproducible sampling) | ✓ Yes | — | repeat a generation for tests and evals |
| Log-probabilities | ✓ Yes | ✓ Yes | read token confidence for classification and scoring |
From each model's published parameters and input/output types. “—” means not advertised, not proven absent.
| Date | Model | Input / 1M | Output / 1M |
|---|---|---|---|
| 2026-10-17 | DeepSeek: DeepSeek V4 Pro 0813 | $0.66 | $1.98 |
| 2026-10-12 | DeepSeek: DeepSeek V4 Pro 0813 | $1.32 | $3.96 |
| 2026-10-10 | DeepSeek: DeepSeek V4 Pro 0813 | $0.66 | $1.98 |
| 2026-10-06 | DeepSeek: DeepSeek V4 Pro 0813 | $1.32 | $3.96 |
| 2026-10-05 | DeepSeek: DeepSeek V4 Pro 0813 | $0.85 | $5.00 |
| 2026-10-04 | DeepSeek: DeepSeek V4 Pro 0813 | $0.22 | $4.20 |
| 2026-10-03 | DeepSeek: DeepSeek V4 Pro 0813 | $0.66 | $1.98 |
| 2026-09-30 | DeepSeek: DeepSeek V4 Pro 0813 | $1.32 | $3.96 |
Neither wins outright: DeepSeek: DeepSeek V4 Pro 0813 is the pick when cost matters at scale, Qwen: Qwen3.8 2.4T A95B (batch) when you generate long outputs in one go. In short: DeepSeek: DeepSeek V4 Pro 0813 when cost matters at scale, you need seed (reproducible sampling); Qwen: Qwen3.8 2.4T A95B (batch) when you generate long outputs in one go.
DeepSeek: DeepSeek V4 Pro 0813 is cheaper: $0.99 vs $3.00 per 1M tokens at a typical 3:1 input/output mix, 67% less. For 50,000 support conversations a month that is $89.10 against $270.
DeepSeek: DeepSeek V4 Pro 0813 costs $0.66 per 1M input tokens and $1.98 per 1M output tokens; Qwen: Qwen3.8 2.4T A95B (batch) costs $2.00 input and $6.00 output. Output tokens are billed separately, so long answers shift the gap.
DeepSeek: DeepSeek V4 Pro 0813: 1.0M tokens, about 1,573 pages, against 1.0M (about 1,515 pages) for Qwen: Qwen3.8 2.4T A95B (batch).
Tool calling — DeepSeek: DeepSeek V4 Pro 0813: yes, Qwen: Qwen3.8 2.4T A95B (batch): yes. JSON-schema structured output — DeepSeek: DeepSeek V4 Pro 0813: yes, Qwen: Qwen3.8 2.4T A95B (batch): yes.
Neither accepts image input — both are text-in models.
No free variant is listed for either; both are pay-per-token.
DeepSeek: DeepSeek V4 Pro 0813 can write up to 393K tokens (about 294,900 words) per response; Qwen: Qwen3.8 2.4T A95B (batch) up to 909K (about 681,800 words).
DeepSeek: DeepSeek V4 Pro 0813 was listed on 2026-08-12; Qwen: Qwen3.8 2.4T A95B (batch) on 2026-08-12.
DeepSeek: DeepSeek V4 Pro 0813: input price cut 50% ($1.32 → $0.66/1M), output price cut 50% ($3.96 → $1.98/1M) on 2026-10-17 (32 price changes since 2026-08-13). Qwen: Qwen3.8 2.4T A95B (batch): input price cut 20% ($2.50 → $2.00/1M), output price cut 4% ($6.25 → $6.00/1M) on 2026-09-02.
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek. This is the GA release of DeepSeek V4 Pro.
Full DeepSeek: DeepSeek V4 Pro 0813 specs →Qwen3.8 2.4T A95B is an open-weight sparse mixture-of-experts model from Qwen and the open-weight variant of [Qwen3.8 Max](/qwen/qwen3.8-max), with 95 billion active parameters out of 2.4 trillion total. It is...
Full Qwen: Qwen3.8 2.4T A95B (batch) specs →