DeepSeek V3.1 Terminus (DeepSeek) and Qwen3.5-122B-A10B (Qwen) compared on the ModelCap Index, API price, context window, provider availability, weight access and every public benchmark board they share. Figures are the same ones shown on the live rankings; nothing here is a hidden score.
Snapshot as of 9 September 2026
As of 9 September 2026, DeepSeek V3.1 Terminus holds the stronger ModelCap Index position (#62 vs #63); DeepSeek V3.1 Terminus is 2.4× cheaper per output token ($1.00/1M vs $2.40/1M); and Qwen3.5-122B-A10B offers the longer context window (262K vs 164K tokens).
Evidence: 3 public benchmark observations across 3 boards · 3 public benchmark observations across 3 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.
Benchmark scores: DeepSeek V3.1 Terminus vs Qwen3.5-122B-A10B
Public benchmark boards where DeepSeek V3.1 Terminus or Qwen3.5-122B-A10B has a published result
DeepSeek V3.1 Terminus vs Qwen3.5-122B-A10B: common questions
Is DeepSeek V3.1 Terminus better than Qwen3.5-122B-A10B?
DeepSeek V3.1 Terminus ranks higher on the ModelCap Index as of 9 September 2026: #62 against #63. That is a capability ranking built from public benchmark evidence with published uncertainty; whether it is "better" for you also depends on price, context and where you can run it. Their published uncertainty intervals overlap, so the rank difference alone does not establish a reliable capability advantage for your workload.
Is DeepSeek V3.1 Terminus cheaper than Qwen3.5-122B-A10B?
DeepSeek V3.1 Terminus is cheaper on output tokens: $1.00/1M against $2.40/1M. Input tokens are $0.27/1M for DeepSeek V3.1 Terminus and $0.29/1M for Qwen3.5-122B-A10B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $1.04 for DeepSeek V3.1 Terminus versus $1.78 for Qwen3.5-122B-A10B. DeepSeek V3.1 Terminus costs 41.6% less in this scenario. This excludes caching, batch discounts, prompt-length tiers, tool charges and retries; verify the selected endpoint before budgeting.
Which has the bigger context window, DeepSeek V3.1 Terminus or Qwen3.5-122B-A10B?
Qwen3.5-122B-A10B has the larger context window: 262K tokens against 164K.
Which is better for coding, DeepSeek V3.1 Terminus or Qwen3.5-122B-A10B?
Are DeepSeek V3.1 Terminus and Qwen3.5-122B-A10B open-weight models?
DeepSeek V3.1 Terminus: Open weights. Qwen3.5-122B-A10B: Open weights. Open weights mean the checkpoint can be downloaded and self-hosted under its licence; API-only models are available solely through hosted endpoints.
Where can I run DeepSeek V3.1 Terminus and Qwen3.5-122B-A10B?
ModelCap currently lists 4 API providers for DeepSeek V3.1 Terminus and 5 for Qwen3.5-122B-A10B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.
How current is this DeepSeek V3.1 Terminus vs Qwen3.5-122B-A10B comparison?
Every figure comes from the sealed ModelCap dataset published 9 September 2026; the page re-renders within a minute of each data refresh, and the ModelCap Index positions are the same ones shown on the live rankings.