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Comparison · 2 models · Updated Oct 4, 2026

Qwen3-Next 80B-A3B (Thinking) vs GLM-5-Turbo

GLM-5-Turbo comes out ahead, 38 to 34 on our weighted score.

  1. Alibaba (Qwen)

    Qwen3-Next 80B-A3B (Thinking)

    Released Sep 2025

    34/100
    • ECI—
    • Price$0.50 / $6.00
    • Context131K
    Full specs Remove Qwen3-Next 80B-A3B (Thinking)
  2. Our pick

    Z.ai (Zhipu)

    GLM-5-Turbo

    Released Mar 16, 2026

    38/100
    • ECI—
    • Price$1.20 / $4.00
    • Context200K
    Full specs Remove GLM-5-Turbo

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-5-Turbo is our pick

GLM-5-Turbo is the better all-round choice, scoring 38/100 against Qwen3-Next 80B-A3B (Thinking) (34). It leads on inputs & features and context window. 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-Next 80B-A3B (Thinking)Qwen3-Next 80B-A3B (Thinking) $1.88 · GLM-5-Turbo $1.90 per 1M tokens (3:1 blend)
  • Longest contextGLM-5-TurboGLM-5-Turbo 200,000 · Qwen3-Next 80B-A3B (Thinking) 131,072 tokens
  • Widest inputsSame inputsQwen3-Next 80B-A3B (Thinking): Text · GLM-5-Turbo: Text
  • Self-hostingQwen3-Next 80B-A3B (Thinking)Publishes downloadable weights
How the score is built
MeasureWeightQwen3-Next 80B-A3B (Thinking)GLM-5-Turbo
Price50%3737
Inputs & features30%3545
Context window20%2432
Overall100%34/10038/100

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-Next 80B-A3B (Thinking) vs GLM-5-Turbo specifications side by side
SpecificationQwen3-Next 80B-A3B (Thinking)Alibaba (Qwen)GLM-5-TurboZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.50 (best)$1.20
Output$6.00$4.00 (best)
Cached input—$0.24
Blended (3:1)$1.88 (best)$1.90
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Z.AI API
Limits
Context window131,072 tokens200,000 tokens (best)
Max output32,768 tokens131,072 tokens (best)
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningYesYes
Tool callingYesYes
Structured outputNoYes
Availability
WeightsOpenProprietary
API model IDqwen3-next-80b-a3b-thinkingglm-5-turbo
API providers1017 (best)
ReleasedSep 2025Mar 16, 2026
Knowledge cutoffApr 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-Next 80B-A3B (Thinking)$17.00
  • GLM-5-Turbo$20.00
04 — Questions

Which should you choose?

Which is better: Qwen3-Next 80B-A3B (Thinking) or GLM-5-Turbo?

GLM-5-Turbo is the better all-round choice, scoring 38/100 against Qwen3-Next 80B-A3B (Thinking) (34). It leads on inputs & features and context window. 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-Next 80B-A3B (Thinking) or GLM-5-Turbo?

Qwen3-Next 80B-A3B (Thinking) is cheaper at $0.50 input / $6.00 output per million tokens (official Alibaba API price). GLM-5-Turbo costs $1.20 input / $4.00 output per million tokens (official Z.AI API price). At a typical mix of three input tokens to one output token, that is $1.88 per million tokens for Qwen3-Next 80B-A3B (Thinking) versus $1.90 for GLM-5-Turbo (1× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen3-Next 80B-A3B (Thinking) has not been scored yet and GLM-5-Turbo has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen3-Next 80B-A3B (Thinking) and GLM-5-Turbo yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Both support tool calling for agent workflows.

Which has the bigger context window?

GLM-5-Turbo has the largest context window at 200,000 tokens, against 131,072 for Qwen3-Next 80B-A3B (Thinking). Maximum output per response: Qwen3-Next 80B-A3B (Thinking) up to 32,768, GLM-5-Turbo up to 131,072 tokens.

Which can read images, PDFs, audio or video?

Qwen3-Next 80B-A3B (Thinking) accepts text; GLM-5-Turbo accepts text. They handle the same number of input types.

Are any of these open source?

Qwen3-Next 80B-A3B (Thinking) publishes its weights and can be self-hosted; GLM-5-Turbo is proprietary.

Which is newer?

GLM-5-Turbo is the newest, released Mar 16, 2026. Qwen3-Next 80B-A3B (Thinking) came out Sep 2025. Knowledge cutoff: Qwen3-Next 80B-A3B (Thinking) 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 Oct 4, 2026.

05 — Keep comparing

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