DeepSeek V3 vs Qwen3.7 Plus
At a Glance
| Compare |  DeepSeek V3DeepSeek |  Qwen3.7 PlusQwen |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.2574Openrouter ↗ · Aug 29, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.89Deepinfra ↗ · Sep 22, 2026 | $1.28Openrouter ↗ · 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 | Qwen3.7-Plus |
|---|---|---|
| LMArena Text Arenatext-2026-09-13-d25aabda0010 · arena_rating · leader | 1,332.3992% of row best · rating · deepseek-v3; 95% CI [1327.66209525, 1337.12686082]; votes 21770; rank 209 | 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 | 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 | Qwen3.7-Plus |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V3 | Qwen3 7 Plus |
| Model | DeepSeek-V3 | Qwen3.7-Plus |
| Version | DeepSeek-V3 | Qwen3.7-Plus |
| Lifecycle | active | active |
| Released | 2024-12-26 | Unknown |
| Knowledge cutoff | Unknown | Unknown |
| Input modalities | Text | Text, Image, Video |
| Output modalities | Text | Text |
| Context window | 164K | 1,000K |
| Total parameters | 684.5B | Unknown |
| Active parameters | 37B | Unknown |
| License | Unknown | 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), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
DeepSeek V3 Capabilities
Qwen3.7 Plus Capabilities
Related Comparisons
All text comparisons →| A | Pair | B | Context |
|---|---|---|---|
DeepSeek-V3DeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V3DeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V3DeepSeek | cross-developer peerstext |
DeepSeek-V3DeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V3 vs Qwen3.7 Plus FAQs
Is DeepSeek V3 or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V3 and Qwen3.7 Plus, so Model Markets cannot name a coding leader from pricing, context size, or capability labels alone.
Which is cheaper, DeepSeek V3 or Qwen3.7 Plus?+
DeepSeek V3 is $0.2574 and Qwen3.7 Plus is $0.32 per million tokens, so DeepSeek V3 is cheaper on this metric. DeepSeek V3 is $0.89 and Qwen3.7 Plus is $1.28 per million tokens, so DeepSeek V3 is cheaper on this metric.
Which has a larger context window, DeepSeek V3 or Qwen3.7 Plus?+
Qwen3.7 Plus has the larger sourced context window. DeepSeek V3 supports 164K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, DeepSeek V3 or Qwen3.7 Plus?+
There is no overall benchmark winner: At least two independently verified, protocol-matched benchmarks are required for an overall winner.
Can DeepSeek V3 or Qwen3.7 Plus be self-hosted?+
DeepSeek V3 is the only model in this pair currently marked as self-hostable. DeepSeek V3 is open weight; Qwen3.7 Plus is not marked open weight.
Can DeepSeek V3 and Qwen3.7 Plus understand images?+
DeepSeek V3 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 V3 or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. DeepSeek V3 is — and Qwen3.7 Plus is 131K.
Do DeepSeek V3 and Qwen3.7 Plus support reasoning and tool use?+
DeepSeek V3: none of these features are definitively sourced. Qwen3.7 Plus: reasoning, tool calling, and image input. Feature support does not establish relative quality.
Which is available from more inference providers, DeepSeek V3 or Qwen3.7 Plus?+
DeepSeek V3 has 3 sourced provider routes; Qwen3.7 Plus has 4, so Qwen3.7 Plus has broader tracked availability.
Which offers better value, DeepSeek V3 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.