DeepSeek V4 Pro 0813 vs Qwen3.7 Max
At a Glance
| Compare |  DeepSeek V4 Pro 0813DeepSeek |  Qwen3.7 MaxQwen |
|---|---|---|
| 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 | #13 of 44$0.057 per LiveBench case |
| 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 22, 2026 | $1.475Openrouter ↗ · Sep 22, 2026 |
| Output priceFrom · USD / 1M tokens | $2.60Deepinfra ↗ · Sep 22, 2026 | $4.425Openrouter ↗ · Sep 22, 2026 |
| Context windowMaximum documented tokens | 1,049K | 1,000K |
| Model facts checked | Sep 3, 2026View model evidence → | Sep 3, 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 Max |
|---|---|---|
| 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 | -3.6393% of row best · score · Qwen3.7 Max; 95% CI [-4.47002493, -2.78058186]; sessions 38392; observations 1816729; rank 34 |
| LiveBench2026-06-25 · overall · leader | 81.91100% of row best · percent · deepseek-v4-pro-0813 · 36,339 output tokens / case | 77.5095% of row best · percent · qwen3.7-max · 12,909 output tokens / case |
| ToneBench2026-09-11-10-task-4ef099199c9c · overall_score · unverified | 84.68100% of row best · points · DeepSeek V4 Pro 0813 (max) · 18,462 output tokens / case | 81.2696% of row best · points · Qwen3.7 Max (default) · 8,636 output tokens / case |
| Overall ResultCounted from the protocol-matched rows above | 2 benchmark winsOverall lead | 0 benchmark wins |
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 Max |
|---|---|---|
| Developer | DeepSeek | Qwen |
| Family | Deepseek V4 Pro | Qwen3 7 |
| Model | DeepSeek-V4-Pro-0813 | Qwen3.7 Max |
| Version | DeepSeek-V4-Pro-0813 | Qwen3.7 Max |
| Lifecycle | active | active |
| Released | 2026-08-13 | 2026-05-20 |
| 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), Deepinfra (Standard), Openrouter (Standard), Together Ai (Standard) |
| Capabilities | agents, chat, coding, generation, reasoning, tools | agents, chat, generation, reasoning, structured_outputs, tools, vision |
DeepSeek V4 Pro 0813 Capabilities
Qwen3.7 Max 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 Max FAQs
Is DeepSeek V4 Pro 0813 or Qwen3.7 Max better for coding?+
This comparison does not currently contain a protocol-matched coding benchmark for both DeepSeek V4 Pro 0813 and Qwen3.7 Max, 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 Max?+
DeepSeek V4 Pro 0813 is $1.30 and Qwen3.7 Max is $1.475 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric. DeepSeek V4 Pro 0813 is $2.60 and Qwen3.7 Max is $4.425 per million tokens, so DeepSeek V4 Pro 0813 is cheaper on this metric.
Which has a larger context window, DeepSeek V4 Pro 0813 or Qwen3.7 Max?+
DeepSeek V4 Pro 0813 has the larger sourced context window. DeepSeek V4 Pro 0813 supports 1,049K and Qwen3.7 Max supports 1,000K.
Which performs better in benchmarks, DeepSeek V4 Pro 0813 or Qwen3.7 Max?+
DeepSeek V4 Pro 0813 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 0813 or Qwen3.7 Max 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 Max is not marked open weight.
Can DeepSeek V4 Pro 0813 and Qwen3.7 Max understand images?+
DeepSeek V4 Pro 0813 is not documented with image input; Qwen3.7 Max 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 Max?+
Neither has a larger sourced maximum output. DeepSeek V4 Pro 0813 is — and Qwen3.7 Max is 66K.
Do DeepSeek V4 Pro 0813 and Qwen3.7 Max support reasoning and tool use?+
DeepSeek V4 Pro 0813: reasoning and tool calling. Qwen3.7 Max: 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 Max?+
DeepSeek V4 Pro 0813 has 3 sourced provider routes; Qwen3.7 Max has 4, so Qwen3.7 Max has broader tracked availability.
Which offers better value, DeepSeek V4 Pro 0813 or Qwen3.7 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.