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Comparison · 2 models · Updated Oct 4, 2026

Qwen2.5-VL 7B Instruct vs Aya Expanse 32B

Qwen2.5-VL 7B Instruct comes out ahead, 51 to 33 on our weighted score, and it is the cheaper option too.

  1. Our pick

    Alibaba (Qwen)

    Qwen2.5-VL 7B Instruct

    Released Sep 2024

    51/100
    • ECI—
    • Price$0.35 / $1.05
    • Context131K
  2. Cohere

    Aya Expanse 32B

    Released Oct 24, 2024

    33/100
    • ECI—
    • Price$0.50 / $1.50
    • Context128K
  3. Add a model

    Make it a three-way comparison.

01 — Verdict

Qwen2.5-VL 7B Instruct is our pick

Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Aya Expanse 32B (33). It leads on price and 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 priceQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct $0.525 · Aya Expanse 32B $0.75 per 1M tokens (3:1 blend)
  • Longest contextQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct 131,072 · Aya Expanse 32B 128,000 tokens
  • Widest inputsQwen2.5-VL 7B InstructQwen2.5-VL 7B Instruct: Text, Images · Aya Expanse 32B: Text
  • Self-hostingAll open weightsEvery model here can be downloaded and run on your own hardware
How the score is built
MeasureWeightQwen2.5-VL 7B InstructAya Expanse 32B
Price50%6356
Inputs & features30%500
Context window20%2424
Overall100%51/10033/100

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 Aya Expanse 32B specifications side by side
SpecificationQwen2.5-VL 7B InstructAlibaba (Qwen)Aya Expanse 32BCohere
Capability
Capabilities Index (ECI)——
ECI rank——
Price per million tokens
Input$0.35 (best)$0.50
Output$1.05 (best)$1.50
Cached input——
Blended (3:1)$0.525 (best)$0.75
Long-context rateSame rateSame rate
Price sourceOfficial Alibaba APIMedian of 1 providers
Limits
Context window131,072 tokens (best)128,000 tokens
Max output8,192 tokens (best)4,000 tokens
Inputs and features
TextYesYes
ImagesYesNo
PDFsNoNo
AudioNoNo
VideoNoNo
ReasoningNoNo
Tool callingYesNo
Structured outputNoNo
Availability
WeightsOpenOpenCC-BY-NC-4.0
API model IDqwen2-5-vl-7b-instructc4ai-aya-expanse-32b
API providers12 (best)
ReleasedSep 2024Oct 24, 2024
Knowledge cutoffApr 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-VL 7B Instruct$5.60
  • Aya Expanse 32B$8.00
04 — Questions

Which should you choose?

Which is better: Qwen2.5-VL 7B Instruct or Aya Expanse 32B?

Qwen2.5-VL 7B Instruct is the better all-round choice, scoring 51/100 against Aya Expanse 32B (33). It leads on price and 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 Aya Expanse 32B?

Qwen2.5-VL 7B Instruct is cheaper at $0.35 input / $1.05 output per million tokens (official Alibaba API price). Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (median across 1 API provider). At a typical mix of three input tokens to one output token, that is $0.525 per million tokens for Qwen2.5-VL 7B Instruct versus $0.75 for Aya Expanse 32B (1.4× as much).

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 Aya Expanse 32B 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 Aya Expanse 32B yet, so there is no like-for-like coding score. Test both on a sample of your own tasks. Note that Aya Expanse 32B does not support tool calling, which most coding agents need.

Which has the bigger context window?

Qwen2.5-VL 7B Instruct has the largest context window at 131,072 tokens, against 128,000 for Aya Expanse 32B. Maximum output per response: Qwen2.5-VL 7B Instruct up to 8,192, Aya Expanse 32B up to 4,000 tokens.

Which can read images, PDFs, audio or video?

Qwen2.5-VL 7B Instruct accepts text and images; Aya Expanse 32B accepts text. Qwen2.5-VL 7B Instruct handles the widest range of inputs.

Are any of these open source?

Yes, both publish their weights (CC-BY-NC-4.0), so you can self-host them.

Which is newer?

Aya Expanse 32B is the newest, released Oct 24, 2024. Qwen2.5-VL 7B Instruct came out Sep 2024. Knowledge cutoff: Qwen2.5-VL 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.