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Head-to-head comparison

Qwen3 VL 235B A22B Thinking vs GLM 5 Turbo

Qwen3 VL 235B A22B Thinking (Qwen) and GLM 5 Turbo (Z.ai) 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 10 September 2026

As of 10 September 2026, GLM 5 Turbo holds the stronger ModelCap Index position (#78 vs #81); GLM 5 Turbo offers the longer context window (203K vs 131K tokens); and Qwen3 VL 235B A22B Thinking ships open weights.

Which should you choose?

Choose Qwen3 VL 235B A22B Thinking if…

  • your workload is prompt-heavy — input tokens cost $0.40/1M against $1.20/1M.
  • you want to self-host: Qwen3 VL 235B A22B Thinking ships open weights while GLM 5 Turbo is api only.
  • you want provider choice — 2 listed API providers against 1.

Choose GLM 5 Turbo if…

  • you want the stronger overall ModelCap Index position — #78 against #81 (50.1 vs 48.8 points).
  • you need the longer context window — 203K tokens against 131K.
  • you want the more recently listed model — GLM 5 Turbo was listed 15 March 2026, Qwen3 VL 235B A22B Thinking 23 September 2025.

Qwen3 VL 235B A22B Thinking vs GLM 5 Turbo: specs, pricing and context

Specification comparison of Qwen3 VL 235B A22B Thinking and GLM 5 Turbo
FieldQwen3 VL 235B A22B ThinkingQwenGLM 5 TurboZ.ai
ModelCap Index position#81#78
Index score48.850.1
EvidenceMeasuredMeasured
Input price / 1M tokens$0.40$1.20
Output price / 1M tokens$4.00$4.00
Context window131K tokens203K tokens
Max output tokens33K131K
API providers listed21
Weight accessOpen weightsAPI only
Input modalitiesText, ImageText
First listed23 September 202515 March 2026
PublisherQwenZ.ai

Evidence: 2 public benchmark observations across 2 boards · publisher-corpus-prior over 184 held-out anchors (63%); 1 specialist-board observation at 1.3% support (37%); shrunk 23.4 up toward the measured corpus. Prices are the lowest listed API offer per million tokens observed on the OpenRouter catalogue.

Benchmark scores: Qwen3 VL 235B A22B Thinking vs GLM 5 Turbo

Public benchmark boards where Qwen3 VL 235B A22B Thinking or GLM 5 Turbo has a published result
BoardQwen3 VL 235B A22B ThinkingGLM 5 TurboLeads
Arena codingArena (LMArena)14531439–1468—Only one result
AA τ²-Bench TelecomArtificial Analysis—98.5%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GLM-5-Turbo":reasoning=trueOnly one result
AA Humanity's Last ExamArtificial Analysis—27.8%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-5-Turbo":reasoning=trueOnly one result
WildClawBench OpenClawWildClawBench—33.9Only 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 VL 235B A22B Thinking vs GLM 5 Turbo: common questions

Is Qwen3 VL 235B A22B Thinking better than GLM 5 Turbo?

GLM 5 Turbo ranks higher on the ModelCap Index as of 10 September 2026: #78 against #81. 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 VL 235B A22B Thinking cheaper than GLM 5 Turbo?

Both list the same output price, $4.00/1M tokens, with input at $0.40/1M and $1.20/1M respectively. For 1,000 requests with 2,000 input and 500 output tokens each (2M input + 0.5M output), the listed-rate estimate is $2.80 for Qwen3 VL 235B A22B Thinking versus $4.40 for GLM 5 Turbo. Qwen3 VL 235B A22B Thinking costs 36.4% 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 VL 235B A22B Thinking or GLM 5 Turbo?

GLM 5 Turbo has the larger context window: 203K tokens against 131K.

Which is better for coding, Qwen3 VL 235B A22B Thinking or GLM 5 Turbo?

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 VL 235B A22B Thinking and GLM 5 Turbo open-weight models?

Qwen3 VL 235B A22B Thinking: Open weights. GLM 5 Turbo: API only. 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 VL 235B A22B Thinking and GLM 5 Turbo?

ModelCap currently lists 2 API providers for Qwen3 VL 235B A22B Thinking and 1 for GLM 5 Turbo, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Qwen3 VL 235B A22B Thinking vs GLM 5 Turbo comparison?

Every figure comes from the sealed ModelCap dataset published 10 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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