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Head-to-head comparison

Qwen3.5-122B-A10B vs Qwen3 VL 235B A22B Thinking

Qwen3.5-122B-A10B (Qwen) and Qwen3 VL 235B A22B Thinking (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 22 September 2026

As of 22 September 2026, Qwen3.5-122B-A10B holds the stronger ModelCap Index position (#73 vs #92); Qwen3.5-122B-A10B is 1.9× cheaper per output token ($2.08/1M vs $4.00/1M); and Qwen3.5-122B-A10B offers the longer context window (262K vs 131K tokens).

Which should you choose?

Choose Qwen3.5-122B-A10B if…

  • you want the stronger overall ModelCap Index position — #73 against #92 (60.8 vs 54.6 points).
  • API cost matters — $2.08/1M output tokens against $4.00/1M, about 1.9× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.26/1M against $0.40/1M.
  • you need the longer context window — 262K tokens against 131K.
  • you want provider choice — 5 listed API providers against 2.
  • Arena coding is your yardstick — 1459 against 1453.
  • you want the more recently listed model — Qwen3.5-122B-A10B was listed 25 February 2026, Qwen3 VL 235B A22B Thinking 23 September 2025.

Choose Qwen3 VL 235B A22B Thinking if…

  • ModelCap publishes no field on which Qwen3 VL 235B A22B Thinking leads Qwen3.5-122B-A10B for this pair.

Qwen3.5-122B-A10B vs Qwen3 VL 235B A22B Thinking: specs, pricing and context

Specification comparison of Qwen3.5-122B-A10B and Qwen3 VL 235B A22B Thinking
FieldQwen3.5-122B-A10BQwenQwen3 VL 235B A22B ThinkingQwen
ModelCap Index position#73#92
Index score60.854.6
EvidenceMeasuredMeasured
Input price / 1M tokens$0.26$0.40
Output price / 1M tokens$2.08$4.00
Context window262K tokens131K tokens
Max output tokens66K33K
API providers listed52
Weight accessOpen weightsOpen weights
Input modalitiesText, Image, VideoText, Image
First listed25 February 202623 September 2025
PublisherQwenQwen

Evidence: 3 public benchmark observations across 3 boards · 2 public benchmark observations across 2 boards. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Qwen3.5-122B-A10B vs Qwen3 VL 235B A22B Thinking

Public benchmark boards where Qwen3.5-122B-A10B or Qwen3 VL 235B A22B Thinking has a published result
BoardQwen3.5-122B-A10BQwen3 VL 235B A22B ThinkingLeads
Arena codingArena (LMArena)14591452–146614531439–1468Qwen3.5-122B-A10B
AA Intelligence IndexArtificial Analysis15.6intelligence-index:v4.3:reasoning-unspecified—Only one result
AA τ²-Bench TelecomArtificial Analysis93.6%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="Qwen3.5 122B A10B (Reasoning)":reasoning=true—Only one result
AA Humanity's Last ExamArtificial Analysis25.2%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="Qwen3.5 122B A10B (Reasoning)":reasoning=true—Only one result

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 VL 235B A22B Thinking: common questions

Is Qwen3.5-122B-A10B better than Qwen3 VL 235B A22B Thinking?

Qwen3.5-122B-A10B ranks higher on the ModelCap Index as of 22 September 2026: #73 against #92. 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 Qwen3.5-122B-A10B cheaper than Qwen3 VL 235B A22B Thinking?

Qwen3.5-122B-A10B is cheaper on output tokens: $2.08/1M against $4.00/1M. Input tokens are $0.26/1M for Qwen3.5-122B-A10B and $0.40/1M for Qwen3 VL 235B A22B Thinking. 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 $1.56 for Qwen3.5-122B-A10B versus $2.80 for Qwen3 VL 235B A22B Thinking. Qwen3.5-122B-A10B costs 44.3% 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, Qwen3.5-122B-A10B or Qwen3 VL 235B A22B Thinking?

Qwen3.5-122B-A10B has the larger context window: 262K tokens against 131K.

Which is better for coding, Qwen3.5-122B-A10B or Qwen3 VL 235B A22B Thinking?

Arena coding: Qwen3.5-122B-A10B 1459, Qwen3 VL 235B A22B Thinking 1453 — Qwen3.5-122B-A10B leads.

Are Qwen3.5-122B-A10B and Qwen3 VL 235B A22B Thinking open-weight models?

Qwen3.5-122B-A10B: Open weights. Qwen3 VL 235B A22B Thinking: 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 VL 235B A22B Thinking?

ModelCap currently lists 5 API providers for Qwen3.5-122B-A10B and 2 for Qwen3 VL 235B A22B Thinking, 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 VL 235B A22B Thinking comparison?

Every figure comes from the sealed ModelCap dataset published 22 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.

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