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Comparison · 3 models · Updated Oct 4, 2026

Nova Pro vs Qwen2.5 32B Instruct vs Qwen2.5 72B Instruct

Nova Pro comes out ahead, 48 to 43 and 40 on our weighted score, though Qwen2.5 32B Instruct is 13% cheaper per token.

  1. Our pick

    Amazon

    Nova Pro

    Released Dec 3, 2024

    48/100
    • ECI123.8
    • Price$0.80 / $3.20
    • Context300K
    Full specs Remove Nova Pro

  2. 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

  3. Alibaba (Qwen)

    Qwen2.5 72B Instruct

    Released Sep 19, 2024

    40/100
    • ECI129.0
    • Price$1.40 / $5.60
    • Context131K
    Full specs Remove Qwen2.5 72B Instruct
01 — Verdict

Nova Pro is our pick

Nova Pro is the better all-round choice, scoring 48/100 against Qwen2.5 32B Instruct (43) and Qwen2.5 72B Instruct (40). It leads on inputs & features and context window. Qwen2.5 32B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityQwen2.5 72B InstructCapabilities Index (ECI): Qwen2.5 72B Instruct 129.0 · Qwen2.5 32B Instruct 128.5 · Nova Pro 123.8
  • Lowest priceQwen2.5 32B InstructQwen2.5 32B Instruct $1.23 · Nova Pro $1.40 · Qwen2.5 72B Instruct $2.45 per 1M tokens (3:1 blend)
  • Longest contextNova ProNova Pro 300,000 · Qwen2.5 32B Instruct 131,072 · Qwen2.5 72B Instruct 131,072 tokens
  • Widest inputsNova ProNova Pro: Text, Images, PDFs, Video · Qwen2.5 32B Instruct: Text · Qwen2.5 72B Instruct: Text
  • Self-hostingQwen2.5 32B Instruct and Qwen2.5 72B InstructPublishes downloadable weights
How the score is built
MeasureWeightNova ProQwen2.5 32B InstructQwen2.5 72B Instruct
CapabilityCapabilities Index (ECI)50%455152
Price25%434631
Inputs & features15%702525
Context window10%392424
Overall100%48/10043/10040/100
02 — Side by side

Every spec in one table

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

Nova Pro vs Qwen2.5 32B Instruct vs Qwen2.5 72B Instruct specifications side by side
SpecificationNova ProAmazonQwen2.5 32B InstructAlibaba (Qwen)Qwen2.5 72B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)123.8128.5129.0 (best)
ECI rank#137 of 148#131 of 148#128 of 148 (best)
GPQA DiamondGraduate-level science questions—46.1%49.2% (best)
OTIS Mock AIME 2024–2025Competition mathematics—7.4%8.1% (best)
Price per million tokens
Input$0.80$0.70 (best)$1.40
Output$3.20$2.80 (best)$5.60
Cached input$0.20——
Blended (3:1)$1.40$1.23 (best)$2.45
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Amazon Bedrock APIOfficial Alibaba APIOfficial Alibaba API
Limits
Context window300,000 tokens (best)131,072 tokens131,072 tokens
Max output10,000 tokens (best)8,192 tokens8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesNoNo
PDFsYesNoNo
AudioNoNoNo
VideoYesNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryOpenOpen
API model IDamazon.nova-pro-v1:0qwen2-5-32b-instructqwen2-5-72b-instruct
API providers3 (best)11
ReleasedDec 3, 2024Sep 17, 2024Sep 19, 2024
Knowledge cutoffOct 2024Apr 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.

  • Nova Pro$14.40
  • Qwen2.5 32B Instruct$12.60
  • Qwen2.5 72B Instruct$25.20
04 — Questions

Which should you choose?

Which is better: Nova Pro, Qwen2.5 32B Instruct or Qwen2.5 72B Instruct?

Nova Pro is the better all-round choice, scoring 48/100 against Qwen2.5 32B Instruct (43) and Qwen2.5 72B Instruct (40). It leads on inputs & features and context window. Qwen2.5 32B Instruct wins on price. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Nova Pro, Qwen2.5 32B Instruct or Qwen2.5 72B Instruct?

Qwen2.5 32B Instruct is cheaper at $0.70 input / $2.80 output per million tokens (official Alibaba API price). Nova Pro costs $0.80 input / $3.20 output per million tokens (official Amazon Bedrock API price); Qwen2.5 72B Instruct costs $1.40 input / $5.60 output per million tokens (official Alibaba API price). At a typical mix of three input tokens to one output token, that is $1.23 per million tokens for Qwen2.5 32B Instruct versus $1.40 for Nova Pro (1.1× as much) and $2.45 for Qwen2.5 72B Instruct (2× as much).

Which scores higher on benchmarks?

Qwen2.5 72B Instruct scores higher on the Capabilities Index (ECI): Qwen2.5 72B Instruct 129.0 (#128 of 148), Qwen2.5 32B Instruct 128.5 (#131 of 148) and Nova Pro 123.8 (#137 of 148). The confidence ranges of the top two overlap (123.8–130.7 vs 123.5–130.0), so treat the gap as small.

Which is better for coding?

There are no published SWE-bench Verified results for Nova Pro, Qwen2.5 32B Instruct and Qwen2.5 72B Instruct yet, so there is no like-for-like coding score. On overall capability, Qwen2.5 72B Instruct leads, which tends to carry over to coding, but test on your own codebase. All three support tool calling for agent workflows.

Which has the bigger context window?

Nova Pro has the largest context window at 300,000 tokens, against 131,072 for Qwen2.5 32B Instruct and 131,072 for Qwen2.5 72B Instruct. Maximum output per response: Nova Pro up to 10,000, Qwen2.5 32B Instruct up to 8,192, Qwen2.5 72B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Nova Pro accepts text, images, PDFs and video; Qwen2.5 32B Instruct accepts text; Qwen2.5 72B Instruct accepts text. Nova Pro handles the widest range of inputs.

Are any of these open source?

Qwen2.5 32B Instruct and Qwen2.5 72B Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.

Which is newer?

Nova Pro is the newest, released Dec 3, 2024. Qwen2.5 72B Instruct came out Sep 19, 2024; Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Nova Pro Oct 2024, Qwen2.5 32B Instruct Apr 2024, Qwen2.5 72B 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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