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ModelCap

Head-to-head comparison

Qwen3 30B A3B Instruct 2507 vs GLM 4.6V

Qwen3 30B A3B Instruct 2507 (Qwen) and GLM 4.6V (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 9 September 2026

As of 9 September 2026, Qwen3 30B A3B Instruct 2507 holds the stronger ModelCap Index position (#88 vs #92); Qwen3 30B A3B Instruct 2507 is 4.7× cheaper per output token ($0.193/1M vs $0.90/1M); and Qwen3 30B A3B Instruct 2507 offers the longer context window (262K vs 131K tokens).

Which should you choose?

Choose Qwen3 30B A3B Instruct 2507 if…

  • you want the stronger overall ModelCap Index position — #88 against #92 (44.2 vs 42.3 points).
  • API cost matters — $0.193/1M output tokens against $0.90/1M, about 4.7× cheaper.
  • your workload is prompt-heavy — input tokens cost $0.048/1M against $0.30/1M.
  • you need the longer context window — 262K tokens against 131K.
  • you want provider choice — 4 listed API providers against 2.
  • Arena coding is your yardstick — 1439 against 1416.

Choose GLM 4.6V if…

  • you want the more recently listed model — GLM 4.6V was listed 8 December 2025, Qwen3 30B A3B Instruct 2507 29 July 2025.

Qwen3 30B A3B Instruct 2507 vs GLM 4.6V: specs, pricing and context

Specification comparison of Qwen3 30B A3B Instruct 2507 and GLM 4.6V
FieldQwen3 30B A3B Instruct 2507QwenGLM 4.6VZ.ai
ModelCap Index position#88#92
Index score44.242.3
EvidenceMeasuredMeasured
Input price / 1M tokens$0.048$0.30
Output price / 1M tokens$0.193$0.90
Context window262K tokens131K tokens
Max output tokens32K33K
API providers listed42
Weight accessOpen weightsOpen weights
Input modalitiesTextImage, Text, Video
First listed29 July 20258 December 2025
PublisherQwenZ.ai

Evidence: 2 public benchmark observations across 2 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 30B A3B Instruct 2507 vs GLM 4.6V

Public benchmark boards where Qwen3 30B A3B Instruct 2507 or GLM 4.6V has a published result
BoardQwen3 30B A3B Instruct 2507GLM 4.6VLeads
Arena codingArena (LMArena)14391430–144814161391–1442Qwen3 30B A3B Instruct 2507
BFCL V4UC Berkeley (Gorilla)41.4Function calling—Only one result
AA τ²-Bench TelecomArtificial Analysis—30.7%tau2:telecom:dual-control:pass-at-1:3-repeats:source-model="GLM-4.6V (Non-reasoning)":reasoning=falseOnly one result
AA Humanity's Last ExamArtificial Analysis—3.7%hle:may-2025:text-only-2158:no-tools:pass-at-1:source-model="GLM-4.6V (Non-reasoning)":reasoning=falseOnly 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 30B A3B Instruct 2507 vs GLM 4.6V: common questions

Is Qwen3 30B A3B Instruct 2507 better than GLM 4.6V?

Qwen3 30B A3B Instruct 2507 ranks higher on the ModelCap Index as of 9 September 2026: #88 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 30B A3B Instruct 2507 cheaper than GLM 4.6V?

Qwen3 30B A3B Instruct 2507 is cheaper on output tokens: $0.193/1M against $0.90/1M. Input tokens are $0.048/1M for Qwen3 30B A3B Instruct 2507 and $0.30/1M for GLM 4.6V. 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 $0.19 for Qwen3 30B A3B Instruct 2507 versus $1.05 for GLM 4.6V. Qwen3 30B A3B Instruct 2507 costs 81.6% 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, Qwen3 30B A3B Instruct 2507 or GLM 4.6V?

Qwen3 30B A3B Instruct 2507 has the larger context window: 262K tokens against 131K.

Which is better for coding, Qwen3 30B A3B Instruct 2507 or GLM 4.6V?

Arena coding: Qwen3 30B A3B Instruct 2507 1439, GLM 4.6V 1416 — Qwen3 30B A3B Instruct 2507 leads.

Are Qwen3 30B A3B Instruct 2507 and GLM 4.6V open-weight models?

Qwen3 30B A3B Instruct 2507: Open weights. GLM 4.6V: 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 30B A3B Instruct 2507 and GLM 4.6V?

ModelCap currently lists 4 API providers for Qwen3 30B A3B Instruct 2507 and 2 for GLM 4.6V, from the OpenRouter catalogue snapshot the site serves; each model page lists the providers and their prices.

How current is this Qwen3 30B A3B Instruct 2507 vs GLM 4.6V 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.

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