DeepSeek V3.2 vs Qwen3.8 Max
At a Glance
| Compare |  DeepSeek V3.2DeepSeek |  Qwen3.8 MaxQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | UnrankedNot in the 46-model eligible cohort | #10 of 4679.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 52.8–86.1 |
| CostLower is better · Published-token output estimate | UnrankedNot in the 44-model eligible cohort | #23 of 44$0.107 per LiveBench case |
| EfficiencyHigher is better · MM Efficiency v1.5 | UnrankedNot in the 38-model eligible cohort | #6 of 3863.2 score · 2/3 sources · provisional · missing ARC-AGI-2 · full-core range 50.0–66.7 |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.26Deepinfra ↗ · Sep 22, 2026 | $1.65Deepinfra ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.38Deepinfra ↗ · Sep 22, 2026 | $4.951Deepinfra ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 164K | 1,000K |
| Model facts checked | Aug 28, 2026View model evidence → | Aug 29, 2026View model evidence → |
Token prices are the lowest available sourced USD rates; input and output may use different providers. Cost ranking estimates output spend on LiveBench, not a full request bill. Ranking methodology →
Available Benchmarks
| Benchmark | DeepSeek-V3.2 | Qwen3.8-Max |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,424.8096% of row best · rating · deepseek-v3.2; 95% CI [1421.27271719, 1428.32733406]; votes 46458; rank 96 | 1,480.55100% of row best · rating · qwen3.8-max; 95% CI [1474.79040793, 1486.31846927]; votes 16670; rank 14 |
| Overall ResultCounted from the protocol-matched rows above | 0 benchmark winsNo overall winner | 1 benchmark winNo overall winner |
Third-party benchmark Only like-for-like primary-publisher results are shown; raw scores, relative scores, configuration, and token spend remain visible.
Side-by-Side Facts
| Field | DeepSeek-V3.2 | Qwen3.8-Max |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V3 2 | Qwen3 8 Max |
| Model | DeepSeek-V3.2 | Qwen3.8-Max |
| Version | DeepSeek-V3.2 | Qwen3.8-Max |
| Lifecycle | active | active |
| Released | 2025-12-01 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 164K | 1,000K |
| Total parameters | 685.4B | 2.4T |
| Active parameters | Unknown | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Hugging Face (Standard), Openrouter (Standard) | Alibaba Cloud Model Studio (Standard), Deepinfra (Standard), Fireworks Ai (Standard), Openrouter (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, reasoning, structured_outputs, tools, vision |
DeepSeek V3.2 Capabilities
Qwen3.8 Max Capabilities
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DeepSeek-V3.2DeepSeek | vs | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3.2 vs Qwen3.8 Max FAQs
Is DeepSeek V3.2 or Qwen3.8 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3.2 and Qwen3.8 Max, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3.2 or Qwen3.8 Max?+
DeepSeek V3.2 is $0.26 and Qwen3.8 Max is $1.65 per million tokens, so DeepSeek V3.2 is cheaper on this metric. DeepSeek V3.2 is $0.38 and Qwen3.8 Max is $4.951 per million tokens, so DeepSeek V3.2 is cheaper on this metric.
Which has a larger context window, DeepSeek V3.2 or Qwen3.8 Max?+
Qwen3.8 Max has the larger sourced context window. DeepSeek V3.2 supports 164K and Qwen3.8 Max supports 1,000K.
Which performs better in benchmarks, DeepSeek V3.2 or Qwen3.8 Max?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3.2 or Qwen3.8 Max be self-hosted?+
DeepSeek V3.2 is the only model in this pair currently marked as self-hostable. DeepSeek V3.2 is open weight; Qwen3.8 Max is not marked open weight.
Can DeepSeek V3.2 and Qwen3.8 Max understand images?+
DeepSeek V3.2 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 V3.2 or Qwen3.8 Max?+
Neither has a larger sourced maximum output. DeepSeek V3.2 is — and Qwen3.8 Max is 131K.
Do DeepSeek V3.2 and Qwen3.8 Max support reasoning and tool use?+
DeepSeek V3.2: 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 V3.2 or Qwen3.8 Max?+
DeepSeek V3.2 has 3 sourced provider routes; Qwen3.8 Max has 4, so Qwen3.8 Max has broader tracked availability.
Which offers better value, DeepSeek V3.2 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.