DeepSeek V4 Pro vs Qwen3.8 Max
Benchmark Performance
Available Benchmarks
| Benchmark | DeepSeek-V4-Pro | Qwen3.8-Max |
|---|---|---|
| LMArena Text Arenatext-2026-09-01-011508720696 · arena_rating · leader | 1,451.0098% of row best · rating · deepseek-v4-pro; 95% CI [1447.00829245, 1454.98663953]; votes 54243; rank 41 | 1,479.56100% of row best · rating · qwen3.8-max; 95% CI [1473.34740586, 1485.77213629]; votes 13136; rank 12 |
| LiveBench2026-06-25 · overall · leader | 76.7994% of row best · percent · deepseek-v4-pro · 35,014 output tokens / case | 81.88100% of row best · percent · qwen3.8-max · 21,637 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark wins | 2 benchmark winsOverall lead |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Technical Differences
Side-by-Side Facts
| Field | DeepSeek-V4-Pro | Qwen3.8-Max |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V4 Pro | Qwen3 8 Max |
| Model | DeepSeek-V4-Pro | Qwen3.8-Max |
| Version | DeepSeek-V4-Pro | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2026-04-24 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 1,049K | 1,000K |
| Total parameters | 1.6T | 2.4T |
| Active parameters | 49B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | DeepSeek (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Hugging Face (Standard), Openrouter (Standard), Together Ai (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, reasoning, structured_outputs, tools, vision |
14 comparable fields · 11 material differences · Pair passes the primary-source comparison gate
DeepSeek V4 Pro Capabilities
Qwen3.8 Max Capabilities
Internal Comparison Graph
Related Comparisons
| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3.2DeepSeek | vs | DeepSeek-V4-ProDeepSeek | family variantstext |
DeepSeek-V4-ProDeepSeek | vs | GPT-5.6 SolOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Kimi-K3Moonshot AI | cross-developer peerstext |
MiniMax-M3MiniMax | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-ProDeepSeek | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | Mistral Large 3Mistral AI | cross-developer peerstext |
DeepSeek-V4-ProDeepSeek | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro vs Qwen3.8 Max FAQs
Is DeepSeek V4 Pro or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro or Qwen3.8 Max?+
DeepSeek V4 Pro is $0.66 and Qwen3.8 Max is $1.65 per million tokens, so DeepSeek V4 Pro is cheaper on this metric. DeepSeek V4 Pro is $1.5441 and Qwen3.8 Max is $4.951 per million tokens, so DeepSeek V4 Pro is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro or Qwen3.8 Max?+
DeepSeek V4 Pro has the larger sourced context window. DeepSeek V4 Pro supports 1,049K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro or Qwen3.8 Max?+
Qwen3.8 Max leads the current overall benchmark count. The result uses 2 protocol-matched benchmarks from 2 publishers; it is not a universal quality score.
Can DeepSeek V4 Pro or Qwen3.8 Max be self-hosted?+
DeepSeek V4 Pro is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro is open weight; Qwen3.8 Max is not marked open weight.
Can DeepSeek V4 Pro and Qwen3.8 Max understand images?+
DeepSeek V4 Pro is not documented with image input; Qwen3.8 Max is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro or Qwen3.8 Max?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro is — and Qwen3.8 Max is 131K.
Do DeepSeek V4 Pro and Qwen3.8 Max support reasoning and tool use?+
DeepSeek V4 Pro: reasoning. Qwen3.8 Max: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro or Qwen3.8 Max?+
DeepSeek V4 Pro has 6 sourced provider routes; Qwen3.8 Max has 4, so DeepSeek V4 Pro has broader tracked availability.
Which offers better value, DeepSeek V4 Pro or Qwen3.8 Max?+
There is no universal value winner. Compare the input and output prices above with the matched benchmark result for your workload: cheaper tokens can be offset by different quality, token usage, latency, or provider availability.