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Comparison · 2 models · Updated Oct 4, 2026

Qwen2.5-VL 7B Instruct vs GLM-4.5-Flash

GLM-4.5-Flash comes out ahead, 65 to 51 on our weighted score, and it is the cheaper option too.

  1. Alibaba (Qwen)

    Qwen2.5-VL 7B Instruct

    Released Sep 2024

    51/100
    • ECI—
    • Price$0.35 / $1.05
    • Context131K
    Full specs Remove Qwen2.5-VL 7B Instruct
  2. Our pick

    Z.ai (Zhipu)

    GLM-4.5-Flash

    Released Jul 28, 2025

    65/100
    • ECI—
    • PriceFree / Free
    • Context131K
    Full specs Remove GLM-4.5-Flash

  3. Add a model

    Make it a three-way comparison.

01 — Verdict

GLM-4.5-Flash is our pick

GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Qwen2.5-VL 7B Instruct (51). It leads on price. Qwen2.5-VL 7B Instruct 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 priceGLM-4.5-FlashGLM-4.5-Flash Free · Qwen2.5-VL 7B Instruct $0.525 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen2.5-VL 7B Instruct 131,072 · GLM-4.5-Flash 131,072 tokens
  • Widest inputsQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct: Text, Images · GLM-4.5-Flash: Text
  • Self-hostingQwen2.5-VL 7B InstructPublishes downloadable weights
How the score is built
MeasureWeightQwen2.5-VL 7B InstructGLM-4.5-Flash
Price50%63100
Inputs & features30%5035
Context window20%2424
Overall100%51/10065/100

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.

Qwen2.5-VL 7B Instruct vs GLM-4.5-Flash specifications side by side
SpecificationQwen2.5-VL 7B InstructAlibaba (Qwen)GLM-4.5-FlashZ.ai (Zhipu)
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.35Free (best)
Output$1.05Free (best)
Cached input——
Blended (3:1)$0.525Free (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Z.AI API
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens98,304 tokens (best)
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoYes
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenProprietary
API model IDqwen2-5-vl-7b-instructglm-4.5-flash
API providers14 (best)
ReleasedSep 2024Jul 28, 2025
Knowledge cutoffApr 2024Apr 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.

  • Qwen2.5-VL 7B Instruct$5.60
  • GLM-4.5-FlashFree
04 — Questions

Which should you choose?

Which is better: Qwen2.5-VL 7B Instruct or GLM-4.5-Flash?

GLM-4.5-Flash is the better all-round choice, scoring 65/100 against Qwen2.5-VL 7B Instruct (51). It leads on price. Qwen2.5-VL 7B Instruct 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, Qwen2.5-VL 7B Instruct or GLM-4.5-Flash?

GLM-4.5-Flash is cheaper at Free input / Free output per million tokens (official Z.AI API price). Qwen2.5-VL 7B Instruct costs $0.35 input / $1.05 output per million tokens (official Alibaba API price). GLM-4.5-Flash is listed as free.

Which scores higher on benchmarks?

There is no independent benchmark that covers both models yet. Qwen2.5-VL 7B Instruct has not been scored yet and GLM-4.5-Flash has not been scored yet.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen2.5-VL 7B Instruct and GLM-4.5-Flash 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?

Qwen2.5-VL 7B Instruct and GLM-4.5-Flash share the same 131,072-token context window. Maximum output per response: Qwen2.5-VL 7B Instruct up to 8,192, GLM-4.5-Flash up to 98,304 tokens.

Which can read images, PDFs, audio or video?

Qwen2.5-VL 7B Instruct accepts text and images; GLM-4.5-Flash accepts text. Qwen2.5-VL 7B Instruct handles the widest range of inputs.

Are any of these open source?

Qwen2.5-VL 7B Instruct publishes its weights and can be self-hosted; GLM-4.5-Flash is proprietary.

Which is newer?

GLM-4.5-Flash is the newest, released Jul 28, 2025. Qwen2.5-VL 7B Instruct came out Sep 2024. Knowledge cutoff: Qwen2.5-VL 7B Instruct Apr 2024, GLM-4.5-Flash 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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