DeepSeek V4 Flash vs Qwen3.7 Plus
At a Glance
| Compare |  DeepSeek V4 FlashDeepSeek |  Qwen3.7 PlusQwen |
|---|---|---|
| Pricing and Limits | ||
| Input priceFrom · USD / 1M tokens | $0.0868Openrouter ↗ · Aug 28, 2026 | $0.32Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $0.1736Openrouter ↗ · Aug 28, 2026 | $1.28Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 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-V4-Flash | Qwen3.7-Plus |
|---|---|---|
| LMArena Agent Arenaagent-2026-09-15-d25aabda0010 · outcome_score · leader | 1.80100% of row best · score · Deepseek V4 Flash (High) (20260731); 95% CI [1.06225523, 2.53222539]; sessions 64482; observations 6405377; rank 22 | -6.0892% 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 · leader | 1,431.7998% of row best · rating · deepseek-v4-flash; 95% CI [1427.66110387, 1435.91557810]; votes 48887; rank 83 | 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 benchmark winNo 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-V4-Flash | Qwen3.7-Plus |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V4 Flash | Qwen3 7 Plus |
| Model | DeepSeek-V4-Flash | Qwen3.7-Plus |
| Version | DeepSeek-V4-Flash | Qwen3.7-Plus |
| Lifecycle | retired | 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 | 290.9B | Unknown |
| Active parameters | 13B | 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) | Alibaba Cloud Model Studio (Standard), Fireworks Ai (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | chat, generation, reasoning | agents, chat, computer-use, reasoning, structured_outputs, tools, vision |
DeepSeek V4 Flash Capabilities
Qwen3.7 Plus Capabilities
Related Comparisons
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|---|---|---|---|
DeepSeek-V4-FlashDeepSeek | vs |  GPT-6 AstraOpenAI | cross-developer peerstext |
Claude Fable 5.1Anthropic | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Gemini 3.1 ProGoogle DeepMind | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | DeepSeek-V4.1-FlashDeepSeek | family variantstext |
DeepSeek-V4-FlashDeepSeek | vs | Grok 4.6xAI | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs | Qwen3.8-MaxQwen | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Kimi-K3Moonshot AI | cross-developer peerstext |
 MiniMax-M3MiniMax | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  GLM-5.3Z.ai | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Hy4 previewTencent | cross-developer peerstext |
Seed 2.1 ProByteDance Seed | vs | DeepSeek-V4-FlashDeepSeek | cross-developer peerstext |
DeepSeek-V4-FlashDeepSeek | vs |  Mistral Large 3Mistral AI | cross-developer peerstext |
Primary Evidence
Sources and Freshness
Questions
DeepSeek V4 Flash vs Qwen3.7 Plus FAQs
Is DeepSeek V4 Flash or Qwen3.7 Plus better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Flash 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 Flash or Qwen3.7 Plus?+
DeepSeek V4 Flash is $0.0868 and Qwen3.7 Plus is $0.32 per million tokens, so DeepSeek V4 Flash is cheaper on this metric. DeepSeek V4 Flash is $0.1736 and Qwen3.7 Plus is $1.28 per million tokens, so DeepSeek V4 Flash is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Flash or Qwen3.7 Plus?+
DeepSeek V4 Flash has the larger sourced context window. DeepSeek V4 Flash supports 1,049K and Qwen3.7 Plus supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Flash 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 Flash or Qwen3.7 Plus be self-hosted?+
DeepSeek V4 Flash is the only model in this pair currently marked as self-hostable. DeepSeek V4 Flash is open weight; Qwen3.7 Plus is not marked open weight.
Can DeepSeek V4 Flash and Qwen3.7 Plus understand images?+
DeepSeek V4 Flash 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 Flash or Qwen3.7 Plus?+
Neither has a larger sourced maximum output. DeepSeek V4 Flash is — and Qwen3.7 Plus is 131K.
Do DeepSeek V4 Flash and Qwen3.7 Plus support reasoning and tool use?+
DeepSeek V4 Flash: reasoning. 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 Flash or Qwen3.7 Plus?+
DeepSeek V4 Flash has 5 sourced provider routes; Qwen3.7 Plus has 4, so DeepSeek V4 Flash has broader tracked availability.
Which offers better value, DeepSeek V4 Flash 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.