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Head-to-head comparison

Qwen3.5-122B-A10B vs Qwen3.5-9B

Qwen3.5-122B-A10B (Qwen) and Qwen3.5-9B (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 17 August 2026

As of 17 August 2026, Qwen3.5-122B-A10B holds the stronger ModelCap Index position (#41 vs #83); and Qwen3.5-9B is 16× cheaper per output token ($0.15/1M vs $2.40/1M).

Which should you choose?

Choose Qwen3.5-122B-A10B if…

  • you want the stronger overall ModelCap Index position — #41 against #83 (53.6 vs 28.6 points).
  • Artificial Analysis Intelligence Index is your yardstick — 32.8 against 21.8.

Choose Qwen3.5-9B if…

  • API cost matters — $0.15/1M output tokens against $2.40/1M, about 16× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.10/1M against $0.29/1M.
  • you want the more recently listed model — Qwen3.5-9B was listed 10 March 2026, Qwen3.5-122B-A10B 25 February 2026.

Qwen3.5-122B-A10B vs Qwen3.5-9B: specs, pricing and context

Specification comparison of Qwen3.5-122B-A10B and Qwen3.5-9B
FieldQwen3.5-122B-A10BQwenQwen3.5-9BQwen
ModelCap Index position#41#83
Index score53.628.6
EvidenceMeasuredMeasured
Input price / 1M tokens$0.29$0.10
Output price / 1M tokens$2.40$0.15
Context window262K tokens262K tokens
Max output tokens82K262K
API providers listed55
Weight accessOpen weightsOpen weights
Input modalitiesText, Image, VideoText, Image, Video
First listed25 February 202610 March 2026
PublisherQwenQwen

Evidence: 3 public benchmark observations across 3 boards · 1 public benchmark observation across 1 board. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Qwen3.5-122B-A10B vs Qwen3.5-9B

Public benchmark boards where Qwen3.5-122B-A10B or Qwen3.5-9B has a published result
BoardQwen3.5-122B-A10BQwen3.5-9BLeads
Arena codingArena (LMArena)14591452–1466Only one result
Artificial Analysis Intelligence IndexArtificial Analysis32.8intelligence-index21.8intelligence-indexQwen3.5-122B-A10B

Scores are the sources' own published figures for each model's best evaluated configuration; ModelCap never re-runs a benchmark.

Want a different pairing? Open the interactive comparison tool to swap either model for any current ranked language model.

Qwen3.5-122B-A10B vs Qwen3.5-9B: common questions

Is Qwen3.5-122B-A10B better than Qwen3.5-9B?

Qwen3.5-122B-A10B ranks higher on the ModelCap Index as of 17 August 2026: #41 against #83. 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.

Is Qwen3.5-122B-A10B cheaper than Qwen3.5-9B?

Qwen3.5-9B is cheaper on output tokens: $0.15/1M against $2.40/1M. Input tokens are $0.29/1M for Qwen3.5-122B-A10B and $0.10/1M for Qwen3.5-9B. Prices are the lowest listed API offer ModelCap observed, in USD per million tokens.

Which has the bigger context window, Qwen3.5-122B-A10B or Qwen3.5-9B?

Both publish a 262K-token context window.

Which is better for coding, Qwen3.5-122B-A10B or Qwen3.5-9B?

The two models do not share a coding benchmark board on ModelCap yet, so no head-to-head coding score is published; the ModelCap Index position is the closest overall signal.

Are Qwen3.5-122B-A10B and Qwen3.5-9B open-weight models?

Qwen3.5-122B-A10B: Open weights. Qwen3.5-9B: 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 Qwen3.5-122B-A10B and Qwen3.5-9B?

ModelCap currently lists 5 API providers for Qwen3.5-122B-A10B and 5 for Qwen3.5-9B, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Qwen3.5-122B-A10B vs Qwen3.5-9B comparison?

Every figure comes from the sealed ModelCap dataset published 17 August 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.

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