AI model comparison
Qwen3.8 Max (0902) vs DeepSeek V4 Pro 0813
Side by side comparison of Qwen3.8 Max (0902) and DeepSeek V4 Pro 0813 on pricing, benchmark scores, context window, and more.
Qwen3.8 Max 0902 is an updated snapshot of Qwen3.8 Max from Alibaba's Qwen team.
- Input / 1M
- $2
- Output / 1M
- $6
- Context
- 1M
DeepSeek V4 Pro 0813 is a large-scale mixture-of-experts model from DeepSeek.
- Input / 1M
- $0.12
- Output / 1M
- $4
- Context
- 1.05M
Comparing image generators? Compare image models
At a glance
Quick verdict
How the two models stack up on the things people ask about most.
Lower price
DeepSeek V4 Pro 0813
3.1x cheaper for a typical chat
Higher intelligence score
Qwen3.8 Max (0902)
33.6 vs 23.1 on Artificial Analysis
Larger context window
DeepSeek V4 Pro 0813
1.05M vs 1M tokens
Newer release
Qwen3.8 Max (0902)
Released September 3, 2026
Benchmarks
Benchmark scores
Independent scores from Artificial Analysis. Higher is better.
Intelligence index
Qwen3.8 Max (0902)33.6DeepSeek V4 Pro 081323.1Coding index
Qwen3.8 Max (0902)76.2DeepSeek V4 Pro 081368.8Agentic index
Qwen3.8 Max (0902)56DeepSeek V4 Pro 081341.3Pricing
Qwen3.8 Max (0902) vs DeepSeek V4 Pro 0813 API pricing
Per-token API rates. Cheaper option highlighted.
| Metric | Qwen3.8 Max (0902) | DeepSeek V4 Pro 0813 |
|---|---|---|
| Input tokensPer 1M tokens | $2 | $0.12 |
| Output tokensPer 1M tokens | $6 | $4 |
| Cached input (read)Per 1M tokens | $0.25 | $0.11 |
| Cache writePer 1M tokens | Not available | Not available |
What it costs in practice
Estimated cost per 1,000 requests at standard rates. Coding and long-document figures also show the cost when the input is already cached.
Chat message
2K in, 500 out
Qwen3.8 Max (0902)$7DeepSeek V4 Pro 0813$2.23Coding task
30K in, 4K out
Qwen3.8 Max (0902)$84$31.50 cachedDeepSeek V4 Pro 0813$19.45$19.30 cachedLong document summary
150K in, 2K out
Qwen3.8 Max (0902)$312$49.50 cachedDeepSeek V4 Pro 0813$25.25$24.50 cachedSpecs
Context window and capabilities
How much each model can read, how much it can write, and what it accepts as input.
| Metric | Qwen3.8 Max (0902) | DeepSeek V4 Pro 0813 |
|---|---|---|
| Context window | 1M tokens | 1.05M tokens |
| Max output | 131K tokens | 944K tokens |
| Input types | Image, Text, Video | Text |
| Output types | Text | Text |
| Reasoning effort levels | Extra high, High, Medium, Low, Minimal | Max, High, Low, None |
| Default reasoning effort | Extra high | High |
| Release date | September 3, 2026 | August 12, 2026 |
Features
Supported features
API features available for each model.
| Metric | Qwen3.8 Max (0902) | DeepSeek V4 Pro 0813 |
|---|---|---|
| Tool calling | Supported | Supported |
| Structured outputs | Supported | Supported |
| JSON mode | Supported | Supported |
| Reasoning | Supported | Supported |
| Temperature | Supported | Supported |
| Stop sequences | Supported | Supported |
| Deterministic seed | Supported | Supported |
| Verbosity control | Not supported | Not supported |
Keep exploring
More on these models
Other head-to-heads, the full model page, and the alternatives list for each model.
Qwen3.8 Max (0902)View full model details- Qwen3.8 Max (0902) vs Muse Spark 1.3
- Qwen3.8 Max (0902) vs Claude Haiku 5.5
- Qwen3.8 Max (0902) vs Grok 4.7
- Qwen3.8 Max (0902) vs GLM 5.3
- Qwen3.8 Max (0902) vs Gemini 3.8 Flash
- Qwen3.8 Max (0902) vs MiMo-V2.6-Pro
- Qwen3.8 Max (0902) vs Step 5 Preview
- Qwen3.8 Max (0902) vs GPT-6 Luna
- Qwen3.8 Max (0902) vs Hy4 preview
DeepSeek V4 Pro 0813View full model details- DeepSeek V4 Pro 0813 vs DeepSeek V4.1 Flash 1017
- DeepSeek V4 Pro 0813 vs GPT-6 Luna
- DeepSeek V4 Pro 0813 vs Step 5 Preview
- DeepSeek V4 Pro 0813 vs GLM 5.3
- DeepSeek V4 Pro 0813 vs Gemini 3.8 Flash
- DeepSeek V4 Pro 0813 vs Mistral Large 4
- DeepSeek V4 Pro 0813 vs Qwen3.8 27B
- DeepSeek V4 Pro 0813 vs MiniMax M3
- DeepSeek V4 Pro 0813 vs Kimi K3
- DeepSeek V4 Pro 0813 vs Inkling
- DeepSeek V4 Pro 0813 vs DeepSeek V4 Pro 0423
- DeepSeek V4 Pro 0813 vs Gemini 3.7 Flash
- DeepSeek V4 Pro 0813 vs Claude Haiku 4.5
Our take
DeepSeek V4 Pro 0813 is 3.1x cheaper for a typical chat. Qwen3.8 Max (0902) scores higher on the Artificial Analysis Intelligence Index (33.6 vs 23.1). DeepSeek V4 Pro 0813 has the larger context window (1.05M vs 1M tokens). The right pick depends on your workload, so the quickest way to settle it is to send the same prompt to both and compare.
FAQ
Frequently asked questions
Is Qwen3.8 Max (0902) or DeepSeek V4 Pro 0813 cheaper?
DeepSeek V4 Pro 0813 is cheaper for a typical chat (2K input tokens and 500 output tokens). DeepSeek V4 Pro 0813 costs $0.12 per 1M input tokens and $4 per 1M output tokens, while Qwen3.8 Max (0902) costs $2 per 1M input tokens and $6 per 1M output tokens.
Which has a bigger context window, Qwen3.8 Max (0902) or DeepSeek V4 Pro 0813?
DeepSeek V4 Pro 0813 supports up to 1.05M tokens of context, compared with 1M for Qwen3.8 Max (0902).
Is Qwen3.8 Max (0902) smarter than DeepSeek V4 Pro 0813?
On the Artificial Analysis Intelligence Index, Qwen3.8 Max (0902) scores 33.6 and DeepSeek V4 Pro 0813 scores 23.1, putting Qwen3.8 Max (0902) ahead. Benchmarks don't capture everything, so the best test is running your own prompts through both.
Can I use Qwen3.8 Max (0902) and DeepSeek V4 Pro 0813 at the same time?
Yes. Shortcut Chat sends one prompt to multiple models at once, so you can see Qwen3.8 Max (0902) and DeepSeek V4 Pro 0813 answer side by side and keep the better response.
Why choose? Ask both.
Send one prompt to Qwen3.8 Max (0902) and DeepSeek V4 Pro 0813 at the same time. Compare the answers side by side and keep the best one.