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Comparison · 2 models · Updated Oct 4, 2026

Qwen2.5 32B Instruct vs Qwen2.5 7B Instruct

Too close to call on our weighted score (Qwen2.5 7B Instruct 44, Qwen2.5 32B Instruct 43). The right pick depends on what you value most.

  1. Alibaba (Qwen)

    Qwen2.5 32B Instruct

    Released Sep 17, 2024

    43/100
    • ECI128.5
    • Price$0.70 / $2.80
    • Context131K
    Full specs Remove Qwen2.5 32B Instruct

  2. Alibaba (Qwen)

    Qwen2.5 7B Instruct

    Released Sep 19, 2024

    44/100
    • ECI118.5
    • Price$0.175 / $0.70
    • Context131K
    Full specs Remove Qwen2.5 7B Instruct

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01 — Verdict

Too close to call

It is close. Our weighted score puts them within a point (Qwen2.5 7B Instruct 44/100, Qwen2.5 32B Instruct 43/100), so choose by what matters most for your work: Qwen2.5 32B Instruct for raw capability and Qwen2.5 7B Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen2.5 32B InstructCapabilities Index (ECI): Qwen2.5 32B Instruct 128.5 · Qwen2.5 7B Instruct 118.5
  • Lowest priceQwen2.5 7B InstructQwen2.5 7B Instruct $0.306 · Qwen2.5 32B Instruct $1.23 per 1M tokens (3:1 blend)
  • Longest contextAbout the sameQwen2.5 32B Instruct 131,072 · Qwen2.5 7B Instruct 131,072 tokens
  • Widest inputsSame inputsQwen2.5 32B Instruct: Text · Qwen2.5 7B Instruct: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen2.5 32B InstructQwen2.5 7B Instruct
CapabilityCapabilities Index (ECI)50%5138
Price25%4674
Inputs & features15%2525
Context window10%2424
Overall100%43/10044/100
02 — Side by side

Every spec in one table

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

Qwen2.5 32B Instruct vs Qwen2.5 7B Instruct specifications side by side
SpecificationQwen2.5 32B InstructAlibaba (Qwen)Qwen2.5 7B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)128.5 (best)118.5
ECI rank#131 of 148 (best)#141 of 148
GPQA DiamondGraduate-level science questions46.1% (best)35.5%
OTIS Mock AIME 2024–2025Competition mathematics7.4% (best)2.5%
Price per million tokens
Input$0.70$0.175 (best)
Output$2.80$0.70 (best)
Cached input——
Blended (3:1)$1.23$0.306 (best)
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIOfficial Alibaba API
Limits
Context window131,072 tokens131,072 tokens
Max output8,192 tokens8,192 tokens
Inputs and features
TextYesYes
ImagesNoNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesYes
Structured outputNoNo
Availability
WeightsOpenOpen
API model IDqwen2-5-32b-instructqwen2-5-7b-instruct
API providers11
ReleasedSep 17, 2024Sep 19, 2024
Knowledge cutoffApr 2024Apr 2024
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 32B Instruct$12.60
  • Qwen2.5 7B Instruct$3.15
04 — Questions

Which should you choose?

Which is better: Qwen2.5 32B Instruct or Qwen2.5 7B Instruct?

It is close. Our weighted score puts them within a point (Qwen2.5 7B Instruct 44/100, Qwen2.5 32B Instruct 43/100), so choose by what matters most for your work: Qwen2.5 32B Instruct for raw capability and Qwen2.5 7B Instruct on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Qwen2.5 32B Instruct or Qwen2.5 7B Instruct?

Qwen2.5 7B Instruct is cheaper at $0.175 input / $0.70 output per million tokens (official Alibaba API price). Qwen2.5 32B Instruct costs $0.70 input / $2.80 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $0.306 per million tokens for Qwen2.5 7B Instruct versus $1.23 for Qwen2.5 32B Instruct (4× as much).

Which scores higher on benchmarks?

Qwen2.5 32B Instruct scores higher on the Capabilities Index (ECI): Qwen2.5 32B Instruct 128.5 (#131 of 148) and Qwen2.5 7B Instruct 118.5 (#141 of 148). Their confidence ranges do not overlap (123.5–130.0 vs 110.7–121.3), so the gap is a real one. On individual benchmarks: GPQA Diamond — Qwen2.5 32B Instruct 46.1%, Qwen2.5 7B Instruct 35.5%; OTIS Mock AIME 2024–2025 — Qwen2.5 32B Instruct 7.4%, Qwen2.5 7B Instruct 2.5%.

Which is better for coding?

There are no published SWE-bench Verified results for Qwen2.5 32B Instruct and Qwen2.5 7B Instruct yet, so there is no like-for-like coding score. On overall capability, Qwen2.5 32B Instruct leads, which tends to carry over to coding, but test on your own codebase. Both support tool calling for agent workflows.

Which has the bigger context window?

Qwen2.5 32B Instruct and Qwen2.5 7B Instruct share the same 131,072-token context window. Maximum output per response: Qwen2.5 32B Instruct up to 8,192, Qwen2.5 7B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Qwen2.5 32B Instruct accepts text; Qwen2.5 7B Instruct accepts text. They handle the same number of input types.

Are any of these open source?

Yes, both publish their weights, so you can self-host them.

Which is newer?

Qwen2.5 7B Instruct is the newest, released Sep 19, 2024. Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Qwen2.5 32B Instruct Apr 2024, Qwen2.5 7B Instruct Apr 2024.

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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