DeepSeek V4 Pro 0813 vs Qwen3.7 Plus
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Qwen3.7 PlusQwen |
|---|---|---|
| Intelligence, Cost, and Efficiency | ||
| IntelligenceHigher is better · MM Intelligence v2.5 | #20 of 4665.0 score · 3/3 sources · complete | UnrankedNot in the 46-model eligible cohort |
| CostLower is better · Published-token output estimate | #20 of 44$0.094 per LiveBench case | UnrankedNot in the 44-model eligible cohort |
| EfficiencyHigher is better · MM Efficiency v1.5 | #14 of 3857.4 score · 3/3 sources · complete | UnrankedNot in the 38-model eligible cohort |
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $1.30Deepinfra ↗ · Sep 21, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 21, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Sep 3, 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-V4-Pro-0813 | Qwen3.7-Plus |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 4.14100% of row best · score · DeepSeek V4 Pro (High) (0813); 95% CI [3.35150819, 4.93122185]; sessions 47602; observations 4132769; rank 16 | -6.0890% of row best · score · Qwen3.7 Plus; 95% CI [-7.29245632, -4.87295146]; sessions 20905; observations 993739; rank 40 |
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · statistical tie | 1,443.9599% of row best · rating · deepseek-v4-pro-high-20260813; 95% CI [1437.16050212, 1450.73220317]; votes 9008; rank 58 | 1,454.20100% of row best · rating · qwen3.7-plus; 95% CI [1449.75378609, 1458.63820942]; votes 39334; rank 39 |
| Overall ResultCounted from the protocol-matched rows above · 1 tie | 1 benchmark winNo overall winner | 0 benchmark winsNo 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-V4-Pro-0813 | Qwen3.7-Plus |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V4 Pro | Qwen3 7 Plus |
| Model | DeepSeek-V4-Pro-0813 | Qwen3.7-Plus |
| Version | DeepSeek-V4-Pro-0813 | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2026-08-13 | 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 | Unknown |
| Active parameters | 49B | Unknown |
| License | mit | Unknown |
| Open weights | Yes | No |
| API available | Yes | Yes |
| Self-hostable | Yes | No |
| Provider access | Deepinfra (Standard), Fireworks Ai (Standard), Together Ai (Standard) | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
DeepSeek V4 Pro 0813 Capabilities
Qwen3.7 Plus Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V4-Pro-0813DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-Pro-0813DeepSeek | cross-developer peerstext |
DeepSeek-V4-Pro-0813DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Pro 0813 vs Qwen3.7 Plus FAQs
Is DeepSeek V4 Pro 0813 or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
DeepSeek V4 Pro 0813 is $1.30 and Qwen3.7 Plus is $0.32 per million tokens, so Qwen3.7 Plus is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Qwen3.7 Plus is $1.28 per million tokens, so Qwen3.7 Plus is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
There is no overall benchmark winner: An overall winner requires at least two decisive benchmarks from at least two original publishers.
Can DeepSeek V4 Pro 0813 or Qwen3.7 Plus be self-hosted?+
DeepSeek V4 Pro 0813 is the only model in this pair currently marked as self-hostable. DeepSeek V4 Pro 0813 is open weight; Qwen3.7 Plus is not marked open weight.
Can DeepSeek V4 Pro 0813 and Qwen3.7 Plus understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Qwen3.7 Plus is documented with image input. This reflects supported input modalities, not vision quality.
Which can generate longer answers, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Qwen3.7 Plus is 131K.
Do DeepSeek V4 Pro 0813 and Qwen3.7 Plus support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Qwen3.7 Plus?+
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.