Model comparison
DeepSeek V4 Pro vs Qwen3.8 Max
DeepSeek V4 Pro costs $0.58 / $1.74 and Qwen3.8 Max $2.00 / $6.00 per 1M input / output tokens. Both accept about 1M tokens of context, text, images and files.
DeepSeek V4 Pro: sources list different prices. We use $0.58 / $1.74; OpenRouter shows $0.58 / $1.74. See every source.
Qwen3.8 Max: sources list different prices. We use $2.00 / $6.00; OpenRouter shows $2.00 / $6.00. See every source.
Which one to choose
Picked by a published rule, not by an editor. Scenarios without data are left out.
Everyday requests
DeepSeek V4 Pro
$0.002 vs $0.005 for 1,000 input and 500 output tokens.
Long prompts
DeepSeek V4 Pro
A 500K-token prompt with a 2K-token answer costs $0.29 on DeepSeek V4 Pro and $1.01 on Qwen3.8 Max.
Context window
About the same
DeepSeek V4 Pro: 1.05M tokens; Qwen3.8 Max: 1M. Differences under 10% count as a tie.
Mixed inputs
Qwen3.8 Max
DeepSeek V4 Pro: Text. Qwen3.8 Max: Text, Images, Video.
How the verdicts are calculated
- Everyday requests: lower cost for 1,000 input + 500 output tokens at standard rates.
- Long prompts: lower cost for a 500K-token prompt and 2K-token answer, including long-context surcharges.
- Context window: bigger window wins; differences under 10% count as a tie.
- Mixed inputs: more input types accepted; a tie is not shown until multimodal benchmark scores are collected.
Not shown yet
- Coding: needs SWE-bench Verified scores
- Speed: needs independent output-speed measurements
- Privacy: needs data-retention and training-use policies
Side by side
The better value in each row is marked. Observed from LiteLLM and OpenRouter, checked against vendor pricing pages.
| Spec | DeepSeek V4 Pro | Qwen3.8 Max |
|---|---|---|
| Input priceper 1M tokens | $0.58 (better) | $2.00 |
| Output priceper 1M tokens | $1.74 (better) | $6.00 |
| Cached inputper 1M tokens | $0.018 (better) | $0.25 |
| Typical request1,000 input + 500 output tokens | $0.002 (better) | $0.005 |
| Long-prompt pricingCompared on a 500K-token prompt | No surcharge listed (better) | No surcharge listed |
| Batch priceinput / output per 1M tokens | — | $1.00 / $3.00 |
| Context window | 1.05M tokens | 1M tokens |
| Max output | 393K tokens (better) | 131K tokens |
| Knowledge cutoff | Not disclosed | Not disclosed |
| Input types | Text | Text, Images, Video (better) |
| Reasoning | Adjustable effort | Adjustable effort |
| Tool use | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| BenchmarksGPQA Diamond, SWE-bench Verified, AIME 2025, LMArena | Not collected yet | Not collected yet |
| Output speedtokens per second | Not collected yet | Not collected yet |