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Comparison · 3 models · Updated Oct 4, 2026

Nova Pro vs Llama 4 Scout 17B Instruct vs Qwen2.5 32B Instruct

Llama 4 Scout 17B Instruct comes out ahead, 62 to 48 and 43 on our weighted score, and it is the cheaper option too.

  1. Amazon

    Nova Pro

    Released Dec 3, 2024

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

    Meta

    Llama 4 Scout 17B Instruct

    Released Apr 5, 2025

    62/100
    • ECI129.7
    • Price$0.225 / $0.69
    • Context10M
    Full specs Remove Llama 4 Scout 17B Instruct

  3. 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
01 — Verdict

Llama 4 Scout 17B Instruct is our pick

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Nova Pro (48) and Qwen2.5 32B Instruct (43). It leads on price and context window. Nova Pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

  • CapabilityLlama 4 Scout 17B InstructCapabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 · Qwen2.5 32B Instruct 128.5 · Nova Pro 123.8
  • Lowest priceLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct $0.341 · Qwen2.5 32B Instruct $1.23 · Nova Pro $1.40 per 1M tokens (3:1 blend)
  • Longest contextLlama 4 Scout 17B InstructLlama 4 Scout 17B Instruct 10,000,000 · Nova Pro 300,000 · Qwen2.5 32B Instruct 131,072 tokens
  • Widest inputsNova ProNova Pro: Text, Images, PDFs, Video · Llama 4 Scout 17B Instruct: Text, Images · Qwen2.5 32B Instruct: Text
  • Self-hostingLlama 4 Scout 17B Instruct and Qwen2.5 32B InstructPublishes downloadable weights
How the score is built
MeasureWeightNova ProLlama 4 Scout 17B InstructQwen2.5 32B Instruct
CapabilityCapabilities Index (ECI)50%455251
Price25%437246
Inputs & features15%705025
Context window10%3910024
Overall100%48/10062/10043/100
02 — Side by side

Every spec in one table

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

Nova Pro vs Llama 4 Scout 17B Instruct vs Qwen2.5 32B Instruct specifications side by side
SpecificationNova ProAmazonLlama 4 Scout 17B InstructMetaQwen2.5 32B InstructAlibaba (Qwen)
Capability
Capabilities Index (ECI)123.8129.7 (best)128.5
ECI rank#137 of 148#126 of 148 (best)#131 of 148
GPQA DiamondGraduate-level science questions—51.8% (best)46.1%
OTIS Mock AIME 2024–2025Competition mathematics—7.8% (best)7.4%
Price per million tokens
Input$0.80$0.225 (best)$0.70
Output$3.20$0.69 (best)$2.80
Cached input$0.20——
Blended (3:1)$1.40$0.341 (best)$1.23
Long-context rateSame rateSame rateSame rate
Price sourceOfficial Amazon Bedrock APIMedian of 4 providersOfficial Alibaba API
Limits
Context window300,000 tokens10,000,000 tokens (best)131,072 tokens
Max output10,000 tokens16,384 tokens (best)8,192 tokens
Inputs and features
TextYesYesYes
ImagesYesYesNo
PDFsYesNoNo
AudioNoNoNo
VideoYesNoNo
ReasoningNoNoNo
Tool callingYesYesYes
Structured outputNoNoNo
Availability
WeightsProprietaryOpenOpen
API model IDamazon.nova-pro-v1:0—qwen2-5-32b-instruct
API providers34 (best)1
ReleasedDec 3, 2024Apr 5, 2025Sep 17, 2024
Knowledge cutoffOct 2024Aug 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
  • Llama 4 Scout 17B Instruct$3.63
  • Qwen2.5 32B Instruct$12.60
04 — Questions

Which should you choose?

Which is better: Nova Pro, Llama 4 Scout 17B Instruct or Qwen2.5 32B Instruct?

Llama 4 Scout 17B Instruct is the better all-round choice, scoring 62/100 against Nova Pro (48) and Qwen2.5 32B Instruct (43). It leads on price and context window. Nova Pro wins on inputs & features. The score weighs capability 50%, price 25%, inputs & features 15%, context window 10%.

Which is cheaper, Nova Pro, Llama 4 Scout 17B Instruct or Qwen2.5 32B Instruct?

Llama 4 Scout 17B Instruct is cheaper at $0.225 input / $0.69 output per million tokens (median across 4 API providers). Qwen2.5 32B Instruct costs $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). At a typical mix of three input tokens to one output token, that is $0.341 per million tokens for Llama 4 Scout 17B Instruct versus $1.23 for Qwen2.5 32B Instruct (3.6× as much) and $1.40 for Nova Pro (4.1× as much).

Which scores higher on benchmarks?

Llama 4 Scout 17B Instruct scores higher on the Capabilities Index (ECI): Llama 4 Scout 17B Instruct 129.7 (#126 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 (124.8–131.4 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, Llama 4 Scout 17B Instruct and Qwen2.5 32B Instruct yet, so there is no like-for-like coding score. On overall capability, Llama 4 Scout 17B 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?

Llama 4 Scout 17B Instruct has the largest context window at 10,000,000 tokens, against 300,000 for Nova Pro and 131,072 for Qwen2.5 32B Instruct. Maximum output per response: Nova Pro up to 10,000, Llama 4 Scout 17B Instruct up to 16,384, Qwen2.5 32B Instruct up to 8,192 tokens.

Which can read images, PDFs, audio or video?

Nova Pro accepts text, images, PDFs and video; Llama 4 Scout 17B Instruct accepts text and images; Qwen2.5 32B Instruct accepts text. Nova Pro handles the widest range of inputs.

Are any of these open source?

Llama 4 Scout 17B Instruct and Qwen2.5 32B Instruct publishes its weights and can be self-hosted; Nova Pro is proprietary.

Which is newer?

Llama 4 Scout 17B Instruct is the newest, released Apr 5, 2025. Nova Pro came out Dec 3, 2024; Qwen2.5 32B Instruct came out Sep 17, 2024. Knowledge cutoff: Nova Pro Oct 2024, Llama 4 Scout 17B Instruct Aug 2024, Qwen2.5 32B 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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