# DeepSeek V4 Pro vs Qwen3.8 Max

As of October 21, 2026, Qwen3.8 Max costs 52% more per input token than DeepSeek V4 Pro ($2.00 vs $1.32 per 1M) and has a 992K-token context window versus 1M.

- Page: https://models.litellm.ai/compare/deepseek-v4-pro-vs-qwen3.8-max
- DeepSeek V4 Pro: https://models.litellm.ai/models/deepseek-v4-pro
- Qwen3.8 Max: https://models.litellm.ai/models/qwen3.8-max

## Side by side

| | DeepSeek V4 Pro | Qwen3.8 Max |
|---|---|---|
| Input, per 1M tokens | $1.32 | $2.00 |
| Output, per 1M tokens | $3.96 | $6.00 |
| Cache read, per 1M tokens | $0.044 | $0.25 |
| Cache write, per 1M tokens | $0 | – |
| Context window | 1,000,000 tokens | 991,808 tokens |
| Max output | 393,216 tokens | 131,072 tokens |
| Image input | No | Yes |
| Tool calling | Yes | Yes |
| Structured output (JSON) | Yes | Yes |
| Prompt caching | Yes | Yes |
| Reasoning | Yes | Yes |
| Providers on LiteLLM | 18 | 8 |
| Price shown is from | DeepSeek | Alibaba Cloud Model Studio |
| Added to LiteLLM | June 2026 | August 7, 2026 |

Headline prices in USD per 1M tokens, from LiteLLM's model price file.

## Cheapest provider for each

- DeepSeek V4 Pro: Sail at $0.92 input per 1M tokens (`sail/deepseek-ai/DeepSeek-V4-Pro-0813`)
- Qwen3.8 Max: DeepInfra at $1.65 input per 1M tokens (`deepinfra/Qwen/Qwen3.8-Max`)

## Benchmark scores

| Benchmark | DeepSeek V4 Pro | Qwen3.8 Max |
|---|---|---|
| APEX-Agents (Coding and agents) | 47.3% | 63.3% |
| GPQA Diamond (Reasoning and knowledge) | 90.9% (high) | 92.7% (xhigh) |
| SimpleQA Verified (Reasoning and knowledge) | 47.0% (max) | 45.8% (xhigh) |
| FrontierMath (tiers 1-3) (Math) | 45.3% (max) | 74.7% (xhigh) |
| FrontierMath (tier 4) (Math) | 2.4% (max) | 46.3% (xhigh) |
| OTIS Mock AIME 2024-2025 (Math) | 96.7% (max) | 99.4% (xhigh) |

From the Epoch AI Benchmarking Hub (https://epoch.ai/benchmarks), CC BY 4.0 (https://creativecommons.org/licenses/by/4.0/), data as of August 27, 2026: Epoch's own runs and results it collects from each benchmark's leaderboard. Higher is better.

## When to pick which

- DeepSeek V4 Pro: Costs 34% less per input token: $1.32 vs $2.00 per 1M.
- DeepSeek V4 Pro: Returns up to 393,216 tokens per response, vs 131,072.
- Qwen3.8 Max: Supports image input, which DeepSeek V4 Pro doesn't list.

## FAQ

### Which is cheaper, DeepSeek V4 Pro or Qwen3.8 Max?

DeepSeek V4 Pro is cheaper at 3 input tokens per output token: $1.98 per 1M tokens blended ($1.32 input, $3.96 output), versus $3.00 ($2.00 and $6.00) for Qwen3.8 Max, as of October 21, 2026.

### Which has the larger context window, DeepSeek V4 Pro or Qwen3.8 Max?

DeepSeek V4 Pro has the larger context window: 1,000,000 tokens, versus 991,808 for Qwen3.8 Max.

### Can I switch from DeepSeek V4 Pro to Qwen3.8 Max without changing my code?

Yes. Through LiteLLM both use the OpenAI format, so switching means changing the model name from "deepseek-v4-pro" to "dashscope/qwen3.8-max", or pointing a LiteLLM gateway model alias at the other model. You can also use one as a fallback for the other.