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Comparison · 3 models · Updated Nov 2, 2026

Qwen2.5-Coder-32B-Instruct vs Nova Pro vs Aya Expanse 32B

Nova Pro comes out ahead, 49 to 39 and 32 on our weighted score, though Qwen2.5-Coder-32B-Instruct is 47% cheaper per token.

  1. Alibaba (Qwen)

    Qwen2.5-Coder-32B-Instruct

    Released Nov 12, 2024

    39/100
    • ECI—
    • Price$0.66 / $1.00
    • Context131K
  2. Our pick

    Amazon

    Nova Pro

    Released Dec 3, 2024

    49/100
    • ECI—
    • Price$0.80 / $3.20
    • Context300K
  3. Cohere

    Aya Expanse 32B

    Released Oct 24, 2024

    32/100
    • ECI—
    • Price$0.50 / $1.50
    • Context128K
01 — Verdict

Nova Pro is our pick

Nova Pro is the better all-round choice, scoring 49/100 against Qwen2.5-Coder-32B-Instruct (39) and Aya Expanse 32B (32). It leads on inputs & features and context window. 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-Coder-32B-InstructQwen2.5-Coder-32B-Instruct $0.745 · Aya Expanse 32B $0.75 · Nova Pro $1.40 per 1M tokens (3:1 blend)
  • Longest contextNova ProNova Pro 300,000 · Qwen2.5-Coder-32B-Instruct 131,072 · Aya Expanse 32B 128,000 tokens
  • Widest inputsNova ProQwen2.5-Coder-32B-Instruct: Text · Nova Pro: Text, Images, PDFs, Video · Aya Expanse 32B: Text
  • Self-hostingQwen2.5-Coder-32B-Instruct and Aya Expanse 32BPublishes downloadable weights (CC-BY-NC-4.0)
How the score is built
MeasureWeightQwen2.5-Coder-32B-InstructNova ProAya Expanse 32B
Price50%544153
Inputs & features30%25700
Context window20%253924
Overall100%39/10049/10032/100

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-Coder-32B-Instruct vs Nova Pro vs Aya Expanse 32B specifications side by side
SpecificationQwen2.5-Coder-32B-InstructAlibaba (Qwen)Nova ProAmazonAya Expanse 32BCohere
Capability
Capabilities Index (ECI)———
ECI rank———
Price per million tokens
Input$0.66$0.80$0.50 (best)
Output$1.00 (best)$3.20$1.50
Cached input—$0.20—
Blended (3:1)$0.745 (best)$1.40$0.75
Long-context rateSame rateSame rateSame rate
Price sourceMedian of 7 providersOfficial Amazon Bedrock APIOfficial Cohere API
Limits
Context window131,072 tokens300,000 tokens (best)128,000 tokens
Max output8,192 tokens10,000 tokens (best)4,000 tokens
Inputs and features
TextYesYesYes
ImagesNoYesNo
PDFsNoYesNo
AudioNoNoNo
VideoNoYesNo
ReasoningNoNoNo
Tool callingYesYesNo
Structured outputNoNoNo
Availability
WeightsOpenProprietaryOpenCC-BY-NC-4.0
API model ID—amazon.nova-pro-v1:0c4ai-aya-expanse-32b
API providers79 (best)2
ReleasedNov 12, 2024Dec 3, 2024Oct 24, 2024
Knowledge cutoff—Oct 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-Coder-32B-Instruct$8.60
  • Nova Pro$14.40
  • Aya Expanse 32B$8.00
04 — Questions

Which should you choose?

Which is better: Qwen2.5-Coder-32B-Instruct, Nova Pro or Aya Expanse 32B?

Nova Pro is the better all-round choice, scoring 49/100 against Qwen2.5-Coder-32B-Instruct (39) and Aya Expanse 32B (32). It leads on inputs & features and context window. 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-Coder-32B-Instruct, Nova Pro or Aya Expanse 32B?

Qwen2.5-Coder-32B-Instruct is cheaper at $0.66 input / $1.00 output per million tokens (median across 7 API providers). Aya Expanse 32B costs $0.50 input / $1.50 output per million tokens (official Cohere 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 $0.745 per million tokens for Qwen2.5-Coder-32B-Instruct versus $0.75 for Aya Expanse 32B (1× as much) and $1.40 for Nova Pro (1.9× as much).

Which scores higher on benchmarks?

There is no independent benchmark that covers all three models yet. Qwen2.5-Coder-32B-Instruct has not been scored yet, Nova Pro 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-Coder-32B-Instruct, Nova Pro 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?

Nova Pro has the largest context window at 300,000 tokens, against 131,072 for Qwen2.5-Coder-32B-Instruct and 128,000 for Aya Expanse 32B. Maximum output per response: Qwen2.5-Coder-32B-Instruct up to 8,192, Nova Pro up to 10,000, Aya Expanse 32B up to 4,000 tokens.

Which can read images, PDFs, audio or video?

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

Are any of these open source?

Qwen2.5-Coder-32B-Instruct and Aya Expanse 32B publishes its weights (CC-BY-NC-4.0) and can be self-hosted; Nova Pro is proprietary.

Which is newer?

Nova Pro is the newest, released Dec 3, 2024. Qwen2.5-Coder-32B-Instruct came out Nov 12, 2024; Aya Expanse 32B came out Oct 24, 2024. Knowledge cutoff: Nova Pro Oct 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 Nov 2, 2026.