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Comparison · 3 models · Updated Nov 2, 2026

Qwen3 Coder Next vs Qwen3 VL Flash (Alibaba Cloud) vs GLM-4.6V

Qwen3 VL Flash (Alibaba Cloud) comes out ahead, 72 to 58 and 47 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen3 Coder Next

    Released Feb 3, 2026

    47/100
    • ECI—
    • Price$0.20 / $1.20
    • Context262K
  2. Our pick

    Alibaba (Qwen)

    Qwen3 VL Flash (Alibaba Cloud)

    Released Oct 15, 2025

    72/100
    • ECI—
    • Price$0.022 / $0.215
    • Context262K
  3. Z.ai (Zhipu)

    GLM-4.6V

    Released Dec 8, 2025

    58/100
    • ECI—
    • Price$0.30 / $0.90
    • Context128K
01 — Verdict

Qwen3 VL Flash (Alibaba Cloud) is our pick

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against GLM-4.6V (58) and Qwen3 Coder Next (47). It leads on price. GLM-4.6V wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

  • CapabilityNot enough dataNo independent benchmark covers every model here yet
  • Lowest priceQwen3 VL Flash (Alibaba Cloud)Qwen3 VL Flash (Alibaba Cloud) $0.07 · Qwen3 Coder Next $0.45 · GLM-4.6V $0.45 per 1M tokens (3:1 blend)
  • Longest contextQwen3 Coder Next and Qwen3 VL Flash (Alibaba Cloud)Qwen3 Coder Next 262,144 · Qwen3 VL Flash (Alibaba Cloud) 262,144 · GLM-4.6V 128,000 tokens
  • Widest inputsGLM-4.6VQwen3 Coder Next: Text · Qwen3 VL Flash (Alibaba Cloud): Text, Images · GLM-4.6V: Text, Images, Video
  • Self-hostingQwen3 Coder Next and GLM-4.6VPublishes downloadable weights
How the score is built
MeasureWeightQwen3 Coder NextQwen3 VL Flash (Alibaba Cloud)GLM-4.6V
Price50%6410064
Inputs & features30%255070
Context window20%373724
Overall100%47/10072/10058/100

Left out because at least one model lacks the data: capability. The remaining weights were rescaled.

02 — Side by side

Every spec in one table

Highlighted cells lead their row. Dashes mean the data is not published.

Qwen3 Coder Next vs Qwen3 VL Flash (Alibaba Cloud) vs GLM-4.6V specifications side by side
SpecificationQwen3 Coder NextAlibaba (Qwen)Qwen3 VL Flash (Alibaba Cloud)Alibaba (Qwen)GLM-4.6VZ.ai (Zhipu)
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.20$0.022 (best)$0.30
Output$1.20$0.215 (best)$0.90
Cached input——$0.05
Blended (3:1)$0.45$0.07 (best)$0.45
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 15 providersMedian of 1 providersOfficial Z.AI API
Limits
Context window262,144 tokens (best)262,144 tokens (best)128,000 tokens
Max output65,536 tokens (best)32,768 tokens32,768 tokens
Inputs and features
TextYesYesYes
ImagesNoYesYes
PDFsNoNoNo
AudioNoNoNo
VideoNoNoYes
ReasoningNoNoYes
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpen
API model ID——glm-4.6v
API providers16 (best)115
ReleasedFeb 3, 2026Oct 15, 2025Dec 8, 2025
Knowledge cutoffSep 2025—Apr 2025
03 — Cost

What would a month cost?

Enter your expected volume in millions of tokens. List prices only; caching and batch discounts would lower these.

  • Qwen3 Coder Next$4.40
  • Qwen3 VL Flash (Alibaba Cloud)$0.65
  • GLM-4.6V$4.80
04 — Questions

Which should you choose?

Which is better: Qwen3 Coder Next, Qwen3 VL Flash (Alibaba Cloud) or GLM-4.6V?

Qwen3 VL Flash (Alibaba Cloud) is the better all-round choice, scoring 72/100 against GLM-4.6V (58) and Qwen3 Coder Next (47). It leads on price. GLM-4.6V wins on inputs & features. The score weighs price 50%, inputs & features 30%, context window 20%. None of the shared benchmarks cover every model here yet, so capability is left out of this verdict.

Which is cheaper, Qwen3 Coder Next, Qwen3 VL Flash (Alibaba Cloud) or GLM-4.6V?

Qwen3 VL Flash (Alibaba Cloud) is cheaper at $0.022 input / $0.215 output per million tokens (median across 1 API provider). Qwen3 Coder Next costs $0.20 input / $1.20 output per million tokens (median across 15 API providers); GLM-4.6V costs $0.30 input / $0.90 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $0.07 per million tokens for Qwen3 VL Flash (Alibaba Cloud) versus $0.45 for Qwen3 Coder Next (6.4× as much) and $0.45 for GLM-4.6V (6.4× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen3 Coder Next has not been scored yet, Qwen3 VL Flash (Alibaba Cloud) has not been scored yet and GLM-4.6V has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3 Coder Next, Qwen3 VL Flash (Alibaba Cloud) and GLM-4.6V yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. All three support tool calling for agent workflows.

Which has the bigger context window?

Qwen3 Coder Next and Qwen3 VL Flash (Alibaba Cloud) have the largest context windows (262,144 and 262,144 tokens), against 128,000 for GLM-4.6V. Maximum output per response: Qwen3 Coder Next up to 65,536, Qwen3 VL Flash (Alibaba Cloud) up to 32,768, GLM-4.6V up to 32,768 tokens.

Which can read images, PDFs, audio or video?

Qwen3 Coder Next accepts text; Qwen3 VL Flash (Alibaba Cloud) accepts text and images; GLM-4.6V accepts text, images and video. GLM-4.6V handles the widest range of inputs.

Are any of these open source?

Qwen3 Coder Next and GLM-4.6V publishes its weights and can be self-hosted; Qwen3 VL Flash (Alibaba Cloud) is proprietary.

Which is newer?

Qwen3 Coder Next is the newest, released Feb 3, 2026. GLM-4.6V came out Dec 8, 2025; Qwen3 VL Flash (Alibaba Cloud) came out Oct 15, 2025. Knowledge cutoff: Qwen3 Coder Next Sep 2025, GLM-4.6V Apr 2025.

How do you decide the winner?

Each model gets a 0–100 score on capability (50%, independent benchmark results); price (25%, blended price per million tokens (3 input : 1 output), log scale); inputs & features (15%, image, PDF, audio and video input, tool calling, structured output and reasoning); context window (10%, maximum tokens per request, log scale). Dimensions missing for any model are dropped and the remaining weights rescaled, so every model is judged on the same evidence. Specs and prices come from public model listings and the labs’ own API pages; capability scores come from independent benchmark runs. Data updated Nov 2, 2026.